Manager, Data Analytics Resume Samples

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N Collins

Norval

Collins

10260 Quigley Cliffs

San Francisco

+1 (555) 383 7269

10260 Quigley Cliffs

San Francisco

Phone

p +1 (555) 383 7269

Experience Experience

Boston, MA

Manager Data Analytics

Boston, MA

Hilll and Sons

Boston, MA

Manager Data Analytics

Works with Architects and Scrum Masters to deliver quality working products in iterative and agile development environment
Provides active coaching and management to development staff and mentors across the organization
Manages the development of tools that measure and report adherence to customer defined SLAs
Provide guidance to team members nurture/promote team environment
Partner with cross-functional groups across the enterprise in Finance, Marketing, IT, Network and Supply Chain to assess impact and drive critical issue resolution
May manage team of junior analysts
Identify opportunities for revenue recovery and assist in implementation

Philadelphia, PA

Manager, Data Analytics

Philadelphia, PA

Price, DuBuque and Lakin

Philadelphia, PA

Manager, Data Analytics

Create and use statistical and predictive methods to perform analysis on large data compilations to find relationships and provide strategy for campaigns
Responsible for assisting in the testing of system upgrades, on-going enhancements, or new applications, and assist with projects
Create and maintain a customer ranking system developed to maximize opportunities across all divisions
Develop and sell new and existing clients, including development of marketing plans and sales strategies
Work closely with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners
Work with Merchandising and Digital Marketing managers to capitalize on opportunities based on that data
Ensure data integrity -Troubleshoot data discrepancies and work with data providers for resolution

present

San Francisco, CA

Manager, Data & Analytics

San Francisco, CA

Becker, Wiza and Armstrong

present

San Francisco, CA

Manager, Data & Analytics

present

Stay informed on evolving media landscape, including research and emerging trends to provide insight to both media planning team and client
Providing analytic, integrated marketing solutions to improve client decision-making
Maintaining functional expertise in areas like database marketing, integrated channel marketing, analytic tools and techniques, and other infrastructure
Developing smart and compelling client presentations
Demonstrated critical thinking and problem solving abilities
Manage the use of statistical analysis and predictive modeling in order to help develop accurate forecasting methodology for MHHE
Oversee, manage and execute reporting processes, controls and output to ensure accuracy, completeness and quality of data

Education Education

Bachelor’s Degree in Mathematics

Indiana University

Bachelor’s Degree in Mathematics

Skills Skills

A strong attention to detail and the ability to consider how work underway impacts other areas/projects
Report development in SSRS. Experience with other reporting tools (Business Objects, Tableau, MicroStrategy, etc) is acceptable
Strong experience with other reporting tools (Business Objects, Tableau, MicroStrategy, etc)
Ability to thrive in a face paced, dynamic, detail oriented environment. High tolerance for the pressure of constant change and stringent timelines
Excellent written and verbal communication with the ability to present ideas and facilitate discussions to build consensus
Develop and maintain knowledge of data available in upstream source systems to support Operations businesses
Advanced knowledge of SQL and SAS, SPSS or STATA
Understanding of data visualization strategies used to illustrate information using technology such as Tableau or QlikView
Expert-level skills in T SQL, Microsoft Excel, Microsoft Access and Microsoft Reporting Services (or similar reporting platform), as well as basic proficiency in Oracle and DB2 SQL
Supports the user community by enabling access to Operations Data and helping users interpret the data to drive actionable business insights

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Manager Data Analytics Resume Examples & Samples

Partners with the digital planning team to create an appropriate measurement strategy for each campaign
Creates and presents measurement strategies and analyses
Utilizes proprietary tools and third party ad serving technologies to report and analyze clients' post analysis data
Observes, evaluates trends of digital campaigns and provides recommendations for optimizing
May manage day-to-day client interaction
May manage team of junior analysts
Assess problems and concerns in a systematic, logical and rational manner
Provide guidance to team members nurture/promote team environment
3 – 4 years digital media experience, ideally including Data analysis or Database Marketing experience
Must be able to demonstrate data interpretation capabilities (Exposure to analytical course work, a plus)
Thrives in a fast pace, constantly changing environment can adapt plans due to changes in client objectives, priorities or budgets while minimizing impact on project momentum
Excellent presentation and report writing skills
Experience using DoubleClick Dart and AtlasDMT adserving technologies and supporting analytical tools, techniques
Experience with online research tools such as Nielsen, @Plan, AdRelevance, etc
Advanced computer skills (MS Word, Excel, PowerPoint)
Experience with SQL, VBA, SAS, or SPSS a plus
Possess a working understanding of web analytic measurement platforms such as Webtrends and Omniture

Manager, Data Analytics Resume Examples & Samples

Manage data collection and metrics data inputs
Compile reports and data related to human resources functions, including: headcount and retention analysis, compensation, employee performance, workforce development
Prepare conclusions in charts, graphs or spreadsheets in a clear, concise and easy to understand manner
Perform statistical analysis (retention, headcount, open positions, etc.)
Content creation assistance –Source benchmarking data and apply to analytics to ensure accurate benchmarking of the Company’s processes against best practices
Ensure data integrity -Troubleshoot data discrepancies and work with data providers for resolution
Ensure all information is complete and accurate for the departmental scorecards and the Company’s business analytics systems
Manage and maintain HR dashboard content and data analytics through HR systems and outside sources
Integrate user feedback for continuous process improvement. Modify content based on business unit needs and user feedback
Develop and maintain procedures for the metrics report generating process
Investigate possible methods of improving and/or increasing the automation of the reporting process Assess reporting requirements on an ongoing basis, creating automated reporting tools, and collaborating with departments across the organization to meet the ever-changing needs
Develop ad-hoc queries and reports
Responsible for assisting in the testing of system upgrades, on-going enhancements, or new applications, and assist with projects
Responsible for the creation of test scripts as necessary and inputting/oversight of transactions for database changes effecting Payroll, Employee Demographics and Benefits in HR database
Bachelor's Degree in - Computer science; Information Science; Management Information Science; or related-field degree
3-5 years of data analysis and reporting
3-5 years HR experience
PeopleSoft v 8.9 HRMS or higher experience
Superior Microsoft Office computer skills (advanced knowledge of, Excel, Access, SQL and VBA)
Proficient in HRIS systems and databases, with the ability to quickly learn new programs when required
Ability to explain data and metrics to a non-technical audience
Problem solving (creative and proactive)
Strategic thinker
Familiarity with reporting tools such as Crystal, and system implementation experience a plus

Senior Manager, Data Analytics Resume Examples & Samples

Interact with various business groups outside of Data Analytics, including Technology, Finance, Marketing, Strategy, Business Development, and senior management to identify key questions around WWE Network performance and consumption
Analyze data to draw insights to drive critical decision making
Create models to better understand and predict subscriber patterns, user consumption and behavior
Analyze data to identify missing, incomplete, or invalid information
Ensure accuracy of source data by running quality checks and perform statistical analysis to establish accuracy of data entered
Assist in the coordination of data collection from point of origin which may include contacting various groups outside the company to resolve questions, inconsistencies, or obtain missing data
Create and maintain weekly and monthly reports measuring the performance of WWE Network (e.g., subscriber metrics, linear programming consumption, video-on-demand programming consumption, etc.)
4 years of related work experience
Experience in consumer mobile/internet, online/mobile gaming, and/or OTT content data analytics a plus
Strong skills in SQL, as well as Business Intelligence, data, and reporting tools (e.g. Cognos, Business Objects, R, Tableau, Hadoop, Python, etc.)
Experience with Direct Response data analytics preferred (e.g. data mining, reporting, etc.)
Exceptional analytical ability and sound business judgment
Comfort manipulating and analyzing complex, high-volume, highly dimensional data from varying sources
Able to synthesize and communicate complex qualitative and quantitative data using data visualization
Advanced critical thinking skills
Strong organizational skills with the ability to handle multiple projects simultaneously and work independently
Strong written and verbal communication skills including the ability to communicate
Clearly and confidently with internal stakeholders, and
Complex quantitative analysis in a clear, precise, and actionable manner
Bachelor degree in quantitative discipline (Math, Physics, Statistics, Computer Science, Engineering, Economics, etc.)
Advanced degree in Mathematics or Statistics a plus

Senior Manager Data Analytics & Benchmarking Resume Examples & Samples

Responsible for working closely with other Senior Managers, Directors & Partners in business development efforts to drive revenues within the business
Maintaining a close relationship with internal colleagues and teams to identify new client opportunities and to provide the technical expertise in converting client opportunities
Playing a key role in maintenance of high quality relationships with clients by inputting into the client management strategy and on-going client relationship management
Responsible for overall project management for the delivery of the client services model
Responsible for quality review and for inputting into the insight analysis and analytics prepared by the analyst team to clients
Responsible for quality review and for inputting into client feedback reports and actively presenting the results to the client along with the Senior Managers, Directors & Partners at feedback sessions
Responsible for ensuring compliance to risk management procedures for client projects
Contribute to thought leadership groups and research and development activity as appropriate
Contribute ideas to new product development and product extensions

Manager, Data Analytics Resume Examples & Samples

Communicate with clients to understand their requests
Obtain data from client staff and accounting/ERP system
Analyse data by examining its completeness and integrity, reveal valuable information underneath
Perform customised analysis and data mining on structured and unstructured data
Present analysis results
Administrate database and application tools

Manager, Data & Analytics Resume Examples & Samples

Understanding our clients' business legal and regulatory requirements
Anticipating emerging issues and providing flexible responses based on experience
Providing advice that protects the Bank’s reputation and mitigates legal risk
Provide leadership and evolve the reporting function to meet the growing needs of the Legal department
Create and execute the implementation of new reporting requirements by undertaking assessment and analysis of new reporting needs
Oversee, manage and execute reporting processes, controls and output to ensure accuracy, completeness and quality of data
Identify trends in data, draw conclusions and make actionable recommendations to key stakeholders within TD Legal
Undertake process improvement initiatives which involve development and enhancement of reporting, department key metrics/dashboards
Respond to ad-hoc management queries and analysis to provide value added contributions to the department and stakeholder users
Identify Alternate Fee Arrangement (AFA) opportunities and validate savings
Lead automation of processes to continually improve efficiencies within reporting and analysis functions
Act as a subject matter expert in relation to data and reporting
Strong conceptual, analytical and problem solving skills, with a solid background working with data, conducting analysis, interpreting results, drawing conclusions and writing reports/presentations
Advanced knowledge of Microsoft Office Excel and PowerPoint. Knowledge of TyMetrix platform is a plus
A strong focus on attention to detail to produce high quality, accurate and timely deliverables
Proven ability to work in a fast-paced, dynamic environment and manage multiple deadlines and priorities; excellent organizational skills
Team player with demonstrated management and interpersonal skills, and an ability to effectively manage internal and external working relationships
Excellent verbal communication (both one-on-one and in groups) and written communication skills
An undergraduate or graduate degree in Finance, Business, Mathematics or another quantitative discipline with 5 years of related working experience
CFA, MBA or similar designation a plus

Associate Manager, Data Analytics Resume Examples & Samples

Mining large data sets from business and enterprise databases, connecting data from disparate sources to identify insights and patterns using traditional and predictive and prescriptive analytics
Conducting intermediate statistical analysis (e.g. linear regression, ANOVA, time-series analysis, and classification models)
Partnering with members of the Actuarial and Finance teams to deepen our understanding of customer behavior and profitability of the Individual Life inforce book of business
Contributing to projects producing advanced statistical analysis (e.g. development of production-ready algorithms, neural networks, decision trees), as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics) on behalf of the Customer Experience organization and in partnership with Global Strategic Research and ILI Strategy and Analytics teams
Bachelors degree, or 1-5 years experience in Life Insurance industry or data analysis/reporting role, required
Advanced to expert level proficiency with MS Office applications, particularly Excel, required
Experience writing SQL queries, SAS programming language, and developing /deploying reports using MS SQL Reporting Services, Business Object, Tableau or other reporting platforms preferred
Self-starter with high level of energy, urgency and personal accountability
Excellent project management skills and ability to execute and deliver results on time

Manager, Data & Analytics Resume Examples & Samples

Provide the "right" information for fact-based and efficient decision-making by building/maintaining database structures and interfaces, whether transitional or in alignment with corporate directions
Leverage significant knowledge of MHHE business and industry trends with applied data and analytics to lead and manage business intelligence initiatives, from discovery through implementation, in order to ensure solutions meet goals and business needs
Be a thought leader in the organization on strategic intelligence, working with teams to better leverage data to gain business insights that influence business strategies
Manage the use of statistical analysis and predictive modeling in order to help develop accurate forecasting methodology for MHHE
Manage a team of analysts; including workload distribution, performance, employee engagement, development, and feedback
Act as MMHE's primary liaison with the MHE EDW, ERP, PDH, IPUB, CRM, SIS, PCT, and other MHE systems and database teams
Develops yearly team goals and individual staff development plans
Completes direct reports mid-year and year-end reviews. Reviews organizational assessments as necessary. Determines and completes compensation assessments
Provides development and engagement opportunities to all direct reports
Identifies and initiates training to further develop staff
Manages a team of 2-4 analysts
College degree in Computer Science, Statistics, Math, or other quantitative field. An MBA or other advanced degree is preferred
Five plus years’ experience in Data Analytics, with an understanding of relational databases and architecture
Two plus years’ direct management experience
Visual Basic for Applications (VBA), and SQL proficiency required
Tableau and other statistical coding languages experiences preferred
Strong experience using business intelligence, data warehousing, data mining, modeling, and predictive analytics tools
Ability to multi-task and work agilely under tight deadlines
Excellent leadership, presentation and communication skills. Ability to explain complex data and analysis, both verbally and in writing, in a clear way to constituents that may be non-technical
Position must have skills and experience in using Excel, Word, and PowerPoint for conducting analysis and building presentations

Manager, Data & Analytics Resume Examples & Samples

30% 1. Focusing primarily on a Domestic scope, oversee the analysis of both syndicated and internal SPHE data to generate critical reports using Excel/Visual Basic, PowerPoint and Tableau for the benefit of the physical & digital sales, marketing, finance and strategy & insights and their senior staff. Reports will be developed personally in some cases and others will require the management of analysts in their responsibilities. Must be able to provide written and/or oral summaries of key findings and make recommendations as necessary to senior management. Must be able to boil down complex trends into their “elevator pitch” for senior executives, and be comfortable delivering such “pitches” on an impromptu basis. Reports are divided into three types based on their frequency and/or nature of distribution
10% 4. Manage the development of crucial ad hoc research reports for strategic use by sales, marketing, finance and corp. dev. executives and field personnel for business development and support of sales initiatives. Assist in the creation of strategic analysis to monitor and anticipate changes in the home video industry. Analyze these reports to help answer key questions posed by SPHE sales and marketing staff
5% 5. Maintain competitive databases and gather competitive sales information from in-house staff, field reps and online sources. Work with IT on logic-testing and Quality Control as new data streams become available. Assist with archiving and organizing both print and electronic files and databases
3 to 5 years of entertainment experience
1 to 2 years of managerial experience

Manager, Data Analytics Resume Examples & Samples

Providing data analytics services to clients and internal stakeholders, including
Data model reviews 'physical and logical', and
Related documentation
Assessing, researching, analyzing and documenting sponsor/stakeholder needs in accordance with Project Life Cycle deliverables, including selecting appropriate information gathering and/or modeling techniques to solve problems
Recommending business solutions that satisfy sponsor/stakeholder needs while continually exploring and assessing options
Ensuring successful completion of project objectives within time and cost budgets
Preparation of appropriate documentation and end user training for assigned projects
A bachelor's degree and approximately 6 years of related work experience; or a graduate degree and approximately 2 years of related work experience
A degree in computer science, business, engineering or a related discipline; MBA or MS preferred
Strong written and verbal communication skills for report writing and client presentations

Manager, Data Analytics Resume Examples & Samples

Writing software to clean and investigate large point of sales data sets
Integrating with external data sources and APIs to discover interesting trends (Epicor, Google Analytics, Demandware)
Creating entry points to access that data from other points (eg Virtual Closets Kiosks, Clientelling)
Designing rich data visualizations to communicate trends and data
Bachelor’s Degree in quantitative discipline (Statistics, Math, Computer Science)
2 years of experience in Google Analytics
2 years of experience with data mining
4 years of experience with relational databases and SQL Or MySQL
Experience with Epicor

Manager, Data Analytics Resume Examples & Samples

Bachelors degree in quantitative discipline (i.e., mathematics, statistics, actuarial science) is required. Masters degree is preferred
Actuarial designation (FSA, FCAS, ASA, ACAS), or a PhD degree is a plus
Minimum of two years hands-on experience building predictive models, preferably in the financial and insurance industry
Experience modeling in the P&C insurance space is a plus
Superior technical expertise in predictive modeling; ability to learn new modeling software quickly
Highly motivated and creative problem solver; able to self-initiate and thrive in a fast-based, results-oriented environment; positive attitude
Ability to convey sense of urgency and to work productively and cooperatively
Collaborative and team-oriented; ability to lead and train others in modeling techniques (both how and why)
Market exposure in group benefits is a plus but not required; predictive modeling for insurance products preferred

Global Senior Manager, Data Analytics Resume Examples & Samples

Lead the Global Data Analytics function at HarperCollins by becoming the global focal point at telling data stories that induce a call for actionable business growth
Engage as a critical member of the Global Pricing and Analytics team in collaborating with Global Data Science, Business Partners and Executive Sponsors
Partner with Global Data Science in delivering analytics to complement in-house algorithms
Create strong partnerships with Editorial, Marketing, Sales, Senior Management and IT
Learn vigorously the industry intricacies and trends, and the importance of servicing our authors at the heart of everything we do
Prioritize developments in analytics areas of highest strategic and bottom-line impact
Communicate findings to stakeholders, including both the wide employee base and company executives and board of directors
Evangelize usage of data analytics as a distinctive competitive advantage across the company, serving as a link between technical and non-technical groups
Promote a culture of taking smart risks, learning from experience without blame and being both curious and willing to change
Drive team growth by consistently delivering value and unlocking further opportunities
Become the global reference point of Data Analytics know-how by keeping up to date with market developments
Proven track record of implementing data analytics solutions and delivering business results
Demonstrated leadership experience in driving change through data driven initiatives
MBA or University degree in a related field (Software Engineering, Applied Statistics, etc.)
7+ years of experience in similar or related role, including experience as a manager
Deep knowledge of Data Visualization tools (Tableau -mastery is a strong plus-, R/Shiny)
Deep knowledge of Database querying (SQL -mastery is a strong plus- and NoSQL)
Working knowledge of statistical tools such as R, SAS, SPSS is an advantage
Working knowledge of coding languages such as C#, Python is an advantage
Hands on experience working with large datasets
Hands-on experience in other settings is advantageous (start-ups, digital/online business, engineering, academia, blue chip)
Good understanding of data warehouse and data integration architectures and tools
Proficiency in MS Excel
Creative, innovative thinker with outstanding problem solving skills
Likes to be challenged and is not afraid to challenge others
A love for mentoring, challenging and guiding others
Strong interpersonal skills, including listening, embracing differences and working across countries and cultures
With high integrity: timely, open and honest communicator, being fair, principled and respectful
A strong interest in digital
A love of books!

Manager, Data Analytics Systems Resume Examples & Samples

High proficiency with Oracle Database Management Systems
Experience working closely with financial data, particularly credit related
Strong SAS / SQL knowledge and experience
Demonstrated ability to drive insight and business value from complex data
Knowledge of internal bank systems across multiple portfolios desirable
Knowledge of the credit risk lifecycle, with previous risk management experience highly regarded
Initiative and proactive approach to drive change in entrenched business processes to unlock new opportunities
Strong communication skills and ability to influence senior stakeholders

Manager Data Analytics Resume Examples & Samples

Oversees the planning and designing of DQ applications using IDQ, Manta, and DVO. Manages end to end data quality implementation to ensure all aspects of data quality dimensions using industry standard tools like Informatica IDQ on Hadoop (Hive, Storm, Pig, DVO, IDQ, and Analyst) and RDBMS technologies
Guides the Software Engineering team and works with product owners identifying product and technical requirements. Serves as primary point of contact and Liaison between Software Engineering and other teams
Manages deliverables to ensure adherence to deadlines, specifications, and budgets. Implements performance metrics and prepares reports indicating team effectiveness
Contributes to entire life cycle of most assigned projects
Provides expertise in more than one functional area of technology and provides architecture and design solutions that ensure -Data Quality of large-scale data along with data lineage
Works with Business Partners when developing technical requirements, design, and status regarding production issues
Works with Architects and Scrum Masters to deliver quality working products in iterative and agile development environment
Coordinates design activities with other Developers to ensure project adheres to project specifications and provides Supervisor and/or Scrum Masters with the level of effort estimations, milestone timelines, and periodic status updates
Works within project specifications to meet goals and objectives in a timely and accurate manner; raises issues expediently that could impede the project specifications or timelines
Manages the development of tools that measure and report adherence to customer defined SLAs
Monitors and tracks project progress and reports findings to the leadership team
Ensures all engineers keep current with technological developments within the industry
Monitors and evaluates competitive applications and products

Manager, Data Analytics Resume Examples & Samples

Performs on-going data analysis pertaining to Rutger’s customer database, while maintaining the integrity of the data (responsible for data hygiene)
Help grow email subscription base and drive segmentation strategy for email campaigns
Create and use statistical and predictive methods to perform analysis on large data compilations to find relationships and provide strategy for campaigns
Work closely with Marketing, Sports Information, Ticket Sales and Ticket Operations to coordinate sales efforts in regards to actionable data
Build reports, dashboards and models regarding found date
Create and maintain a customer ranking system developed to maximize opportunities across all divisions
Other duties as assigned by General Manager, Ticket Sales
Minimum of 3 years of experience in a data analyst role
Strong understanding of data warehouse concept
Minimum 2 years of experience with SQL Server
Minimum 2 years of experience with CRM and web platforms
Minimum 2 years of experience with predictive modeling using SAS, SPSS or R
Ability to multi-task and manage multiple projects simultaneously
Computer Science, Information Technology, Math, Statistics, Economics or Business major preferred
Experience at a professional sports team preferred
Experience with ticketing software preferred

Manager, Data Analytics Resume Examples & Samples

Collaborate with business owners and teammates to solve business problems, which may include standard tool or custom algorithm development
Work closely with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners
Manage and oversee data analytics projects
Strong SQL experience with a good understanding of database structure, design, query languages, fundamentals of mathematics, large data sets, distributed systems, data science, and statistical concepts
Experience with Hadoop, HiveQL, and big data analytics, and the ability to understand, manage, and navigate large data sets
Experience with Amazon Web Services and cloud based analytics tools
Experience with Spark and Spark SQL
Good understanding of high-level product architecture and data flow patterns
Experience with analytics packages SAS, SPSS, Matlab, R, Weka, etc
Develops business requirements, assesses current reporting capabilities, and makes recommendations for improvement
Creates actionable insight and understanding, through the analysis of both quantitative and qualitative data, building recommendations that directly address business objectives
Identifies possible conflicts with the strategy and recommends cost-effective alternatives
Conducts full analyses of changes impacting customers and operations and ensures impacts are accurately integrated into forecasts
Carries out post-event analyses to validate forecast assumptions and identifies all additional factors associated with changes
6+ years working experience
Direct, personal experience working with massive amounts of data
Experience in telecommunications, internet, ecommerce, or media, preferred

Manager, Data & Analytics Resume Examples & Samples

University degree/college diploma (business, finance, supply chain, computer science, engineering)
5-10 years working experience
Familiar with dashboards, KPI, business metrics generation
Familiar with Big Data Hadoop, BI, Tableau, Nimbus, Business Objects, ETL, SAS (Spotfire is a very strong asset)
Solid understanding of relational and dimensional database design methodologies and system design best practices
Knowledge and familiarity with data profiling, modeling, cleansing, enriching as well as extract, transform, load (ETL) solutions and scripting
In-depth knowledge on industry trends in “big data” and information management best practices
Proficient with gathering requirements and translating business requirements into technical specification
Keen problem solver with strong motivation to impact positive results
Solid strategic planning, execution and change management skills with the ability to influence effective change
Advanced interpersonal and communication skills (facilitation and presentation skills)

Manager, Data Analytics Resume Examples & Samples

As business owner of Episode of Care software, customize product and deliver analysis to enable operational improvements and deliver value to our government customer in terms of Military Treatment Facility care and Military Treatment Facility enrollees
Lead data governance efforts with emphasis on data validation routines and data definitions
Advance organizational capability beyond MS-Excel to consume information
Lead and develop staff
Produce ad-hoc analysis as requested
Bachelor’s Degree in quantitative based field (Statistics, Math, Computer Science or similar)
Three years Supervisory Experience
Five years of experience in health care or related field
Knowledge of data management tools and techniques
Proficient with MS-Excel
Proficient with Structured Query Language (SQL)
Business Intelligence Toolset experience
Our Department of Defense contract requires U.S. citizenship for this position

Manager, Data Analytics Resume Examples & Samples

Act as data steward and be responsible to implement, maintain & enhance Data Governance , Data Quality and related policies, requirements in alignment & compliance with TD’s Enterprise frameworks & associated standards
Collaborate with data owners to identify data elements to address reporting requirements
Collaborate with Relationship Managers for metric definition activities
Contribute to Data analysis identifying operational and/or product trends
Streamline and improve existing reporting to eliminate errors and redundancies
Ad-Hoc reporting and analysis as required to support internal and external business partners
Acts as the central point of contact across Operations on data related issues and inquiries
Ensure Operations Data is maintained in compliance with Enterprise data standards
Provide on-going communications on project status and systems capabilities
Project management experience considered an asset

Manager, Data Analytics Resume Examples & Samples

Conduct in-depth, complex analysis leveraging various data sources and tools with the goal to deliver transformational analytics and financial value for NAPC
Lead and mentor a small team of Data Analysts, provide technical analytic guidance and support that foster a positive, collaborative, continuously improving and high performing team culture
Provide strategic direction to team based on planning/needs assessment with partners and analytics intake requests; help team prioritize competing requests in a fast paced and demanding team environment
Influence business partners, using data based advice, on the appropriate direction of focus for improvements which will impact their customers and shareholders
Ensure team adheres to highly credible methodology to conduct transformational analytics, and utilizes best in class tools and technology to deliver the highest quality analytics
Expert at identifying trends across different and often disparate data sources, drawing conclusions and delivering actionable recommendations to key stakeholders
Work closely with business distribution leaders to ensure a high degree of trust exists, and two way dialogue continually takes place on priorities and current challenges within the business
Present business insights to Executives to steer direction of strategic and tactical plan on a regular basis

IT Manager, Data & Analytics Resume Examples & Samples

Ensure delivery of assigned Data & Analytics projects to various Business Unit IT (BUIT) groups, meeting or exceeding expectations set in SOWs; Develop factory schemas, reference models, recipes, templates and reusable code that will drive continuous productivity, quality and cycle time improvements
Develops and maintains in-depth knowledge of existing Big Data application portfolios and provide direction/projects for various BUITs
Investigates and researches BI/DW solutions for business challenges and problems and future BI/DW software releases and opportunities, assessing the impact on assigned BUIT applications and companies
Review Business Concepts, discuss fit and applicability and support the integration / modeling of the Business Concepts
Ensures compliance with Application Services processes through effective use of all AS processes, including SOWs, Pricing and Resourcing models
Oversee adherence to software quality standards and testing methodologies ensuring quality delivery of specific services per schedule
Implement appropriate operational controls to drive metrics and use data to track against commitments
Develop solutions using standard architectures, technology service models, schemas, reference models, recipes, templates and reusable code that will drive continuous productivity, quality and cycle time improvements
A minimum of a Bachelor’s degree is required
A minimum of 8 years of relevant IT experience with experience in IT applications development is required
A minimum of 4 years of technical experience in a Data & Analytics environment is required
Experience delivering Data & Analytics solutions using technologies such as AWS S3/EC2/Redshift/RDS, HADOOP, TERADATA, SAP, and Analytic/Visualization is required
Experience delivering projects in Agile/Scrum methodologies is required
DevOps experience is preferred
Proven leadership skills including management of large teams, a track record of developing talent, and setting and achieving aggressive goals is required
Proven leadership skills with the ability to build cross functional teams w/o reporting lines, people management experience is required
Excellent written and verbal communication skills are required
Well-developed presentation and facilitation skills are required along with strong project management skills to lead and direct a global project team
An understanding of IT service management principles and practices is preferred
This position is located in Somerville, NJ and may require up to 10% domestic travel.Info Technology

Manager, Data Analytics Resume Examples & Samples

Understand McKesson’s Generics data environment
Design and build data solutions conducive for business insights, reporting and analytics
Use customer sales and supporting data to address customer questions and concerns; partner with internal clients to identify and measure opportunities for improving the customer’s relationship with McKesson and increase McKesson’s gross margins
Support the development of customer-level metrics needed to accurately manage market differentiating programs
Analyze opportunities for McKesson to expand generic product sales, services, and pricing strategies while examining market channels and exploring innovative business opportunities
Manage the compilation, analysis, and reporting of data via SQL and other tools to forecast trends, apply various analytical techniques (i.e. mathematical models and/or statistical techniques) to support Retail National Accounts customer growth
Analyze customer purchasing trends and generic launch conversions to provide clear internal guidance with product conversion strategies
Evaluate business performance and analyze impact to market share ensure McKesson ability to exceed customer net sales and net income targets
Develop and maintain strong relationships with key stakeholders, partners and internal clients
Code in T-SQL. Experience with other flavors (Oracle, Teradata, DB2, etc) of SQL is acceptable
Strong communication skills with internal customers
Excel skills, high level. V-lookups, pivot tables, reporting
Report development in SSRS. Experience with other reporting tools (Business Objects, Tableau, MicroStrategy, etc) is acceptable

Manager, Data Analytics Resume Examples & Samples

Develop quantitative and qualitative data analytics by leveraging program and health plan data
Work collaboratively with informatics and within client analytics teams to support client reporting and analytics needs
Analyze and interpret data and reports provided by other teams to facilitate dialogue regarding specific metrics within said reports
Conduct necessary research and remediation of identified data discrepancies or data issues in reporting and analyses
Develop and maintain automated report production and QA processes to reduce resource demand and facilitate data analysis
3+ years of experience in healthcare analytics, working with large and multi-sourced data
Intermediate level proficiency with SQL query writing
Intermediate level proficiency with MS Excel, especially with complex formulas and pivot tables
Experience and proficiency in SAS programming
Experience and proficiency in Tableau reporting
Managed care experience, preferably in Medicare Advantage
Experience with Medicare Risk Adjustment Program
Experience with Medicare Stars Quality programs
Client management and support experience

IT Manager Data Analytics Resume Examples & Samples

Understands the impact of key business and technological trends in analytics and applies this knowledge their work
Understands the vision and goals of technology and Cubic. Identifies and leverages opportunities to impact these goals
Evaluates team talent and performance. Recruits appropriate talent to fill project needs. Partners with others in leveraging talent
Establishes and maintains aggressive team and personal productivity standards. Quickly and effectively addresses productivity problems
Scopes project work and requirements keeping in mind Cubic’s bottom line. Questions and debates strategies that do not support Cubic’s vision
Leverages established people development and recruiting processes. Partners with others to ensure the people are available and aligned with the organization’s strategy
Seeks out ways that improve team performance and shares findings with other leaders. Maintains a good understanding of his or her team effectiveness over time
Maintains aggressive team and personal productivity standards. Quickly and effectively addresses productivity problems
Delivers quality technology services and perform post implementation user experience analysis and troubleshooting to achieve our internal customer service KPI’s
Implements enterprise IT operating policies, procedures and objectives for information technology and information systems companywide. Provides direction on methods to improve discreet information flow and efficiency
Liaise with IT leadership team to ensure the integrity, reliability and security of enterprise systems, standards, policies, and data, including a viable enterprise system business continuity plan
Maintain strict confidentiality with regard to the information being processed, stored or accessed
Assist with establishing service level agreements (SLAs) with outsourced vendors and service providers to meet operational business system requirements
Measure AMS performance to ensure all technical deliveries and established SLAs are met
Leadership of a data warehouse and/or business analytics function
Expertise with Business Warehouse and the Business Objects Suite on HANA
Exposure and support for EPM tools, SAP BPC highly preferred
Experience with data visualization tools such as Tableau, Qlik, or Lumira
Experience in data modeling, both logical and physical
Experience in multidimensional data modeling such as star schemas
Experience with data integration tools
Functional understanding of data governance, master data, reference data
An excellent understanding of key BI/analytical trends
Experience working directly with C-level executives
Proven ability to complete projects on time and budget
Demonstrated ability to provide planning, evaluation, and implementation expertise for complex and integrated technology and manage multiple projects; experience with needs assessment, system design, tech selection, business continuity planning, auditing, and risk management
Must have experience leading, motivating, directing, training, and evaluating personnel and a demonstrated commitment and ability establishing excellent customer service and end user satisfaction
A self-starter with a can-do orientation that identifies smart, creative methods to complete complex tasks with minimal effort
Excellent interpersonal and communication skills required, as well as demonstrated critical thinking and organizational skills with ability to report complex information and data in a succinct, understandable, and visual way
Ability to prioritize, anticipate needs, take initiative, meet deadlines, and be accountable to delivering business results
Must be available for both domestic and international travel

Senior Manager, Data Analytics Core Resume Examples & Samples

Responsible for developing data engineering and BI technology roadmap and approach to enable self-service data analytics at HomeAway
Responsible for driving modern EDW and BI (both batch and near real-time) using Big data technologies
Drive processes to establish a balance between data governance and agility and enable single source of truth for our core KPIs
Data engineering competency includes tools & technologies (SQL Server, Hadoop, open source, AWS datastack), patterns and concepts required to enable the data lake ecosystem
Will be working closely with other teams to develop and share the knowledge assets to enable analytics
Develop a competency maturity plan for the organization including training needs
Manage and grow multiple teams (10-12) resources including employees and onshore/offshore contractors
Communicate progress,roadmaps and solutions to senior leaders within the organization
Provides effective participation and contribution in developing complex system/application architecture
Bachelor’s or Master’sDegree in Computer Science or Engineering or related experience required
At least five years and typically eight or more years of experience with three years in a Management role
Experience defining and building knowledge assets using modern data and BI technologies includingHadoop, AWS, data pipelines using open source stack
Experience with relational databases, such as SQL Server
Familiarity of technologies like Redshift, MongoDB, Cassandra, visualization analytics like Tableau, Datameer is desired
Understanding of cloud architecture and experience working in AWS environment is a big plus
Programming background withPig, Python or Java is preferred
Ability to develop big Data architecture, experience of contributing and influencing change is preferred
Experience working in an agile environment (Scrum, Kanban, XP, etc.) is preferred
Experience working in an e-commerce travel or Internet industry is preferred

Business Intelligence Manager Data Analytics Resume Examples & Samples

Lead the Internal Audit business intelligence team in creating self-serve risk models, dashboards and analytics across the organization. Will be the lead from Internal Audit to partner with the various groups within the organization. Present information to executive management and guide their understanding of the relevant components of the risks, including recommendations on resolution steps. Leverage existing channels while building new relationships with department heads as the business evolves
BS/BA degree in Management Information Systems, Computer Science, Accounting, Business, Finance or related field. Master’s degree preferred
6+ year’s work experience; auditing, technology, accounting, finance, or economics

Senior IT Manager, Data & Analytics Resume Examples & Samples

Lead the identification and development of innovative and flexible data ingestion, transformation and data storage capabilities to provide strategic insights to our business to drive performance, growth and competitive advantage
Provide technology leadership to influence and apply enterprise architecture to accelerate our ability to meet current business needs, to scale and to adapt to dynamic business needs
Provide technology leadership in the area of analytics ingestion, transformation and data storage to shape and design solutions and deliver effective user-centric and intuitive analytics tools and dashboards
Drive self-service analytics models and solutions
Attract, develop and retain top talent and build high performing team and culture
Manage team of resources who work with the business to shape Data and Analytics requirements and deliver solutions utilizing Agile IT sprint cycles
Map out complex business processes to serve as reference for development of analytics solutions and advocates for business process simplification where appropriate to deliver robust and cost effective solutions
Oversee progress of work in multiple Agile Scrum work streams
Coordinate work streams, activities and initiatives across Product Lines as needed
Write, manage and clarify complex story points or assist Leads and Senior Analysts with the task
Ensure compliance requirements are met and oversee documentation activities and participate in compliance activities as required
Accountable for application support of Data ingestion, transformation and data storage platforms via Service Level Management with Application Services teams
Bachelor’s degree in the field of computer science or business administration required
Minimum of 6 years proven track record of complex program delivery, and 3 years of proven experience in supply chain end-to-end initiatives required
Minimum of 3 years supervisory and people management experience preferred
Experience in the Medical Devices/Pharmaceutical/Healthcare industries with strong business acumen is required and Supply Chain knowledge/experience is preferred
Proven experience building and maintaining business warehouse and analytics capability
Proven experience deploying business analytics tools, business intelligence and visualization solutions in direct support of business functions
Must have demonstrated success applying data warehousing, visualization, advanced analytics, data cleansing, predictive analytics, data integration, semantics, structure, and data modeling to deliver insights with positive business impact
Must have Agile experience
Demonstrated Business Relationship management and experience partnering with operating company business partners to develop plans and deliver solutions required
Must have Project Management experience
Must have the ability to solve complex business problems and communicate complex quantitative analysis in a clear, precise, and actionable manner to senior management effectively
Must be able to build strong partnerships, collaborate, and partner interdependently with key stakeholders to build strong relationships across IT and with suppliers, customers and business partners
Experience working with Application Services, key vendors, external partners, customers and data providers is preferred
Experience with unstructured Big Data is preferred
Experience with Mobile Analytics is preferred
Applied experience with big data platforms, relational, data ingestion, and data transformation is preferred
This position requires up to 25% domestic and international travelIT Management

Manager, Data Analytics Resume Examples & Samples

Deliver actionable strategic and tactical insights using data and sound analytic methods
Bridging the planning target to Audiences that can buy/reached with media
Audience measurement within and across channels
Design strategies and methodologies to mine complex data sources for strategic insights
Media measurement vendor evolution, contracting a& budget management
Cross channel response attribution analytics and media planning Optimization (eg modeling, effectiveness studies)
Advanced customer segmentation
Perform ongoing research, identity and report on macro trends impacting the US market
4+ Years in media research or marketing research
Consumer Research: Survey Design and fielding
Using data sources such as: Syndicated consumer (eg Simmons, MRI), syndicated sales (eg IRI, Nielsen), Media consumption (N-Power, Comscore)
Using analytic software a plus : IMS suite, Statistic Package
Education: BA or BS in quantitative field of study

Senior Manager, Data Analytics Resume Examples & Samples

BA/BS Degree in Statistics, Mathematics, Computer Science, Economics, Bioinformatics or related discipline
10+ years of relevant experience with data mining, SQL, building reporting, and statistical modeling
Experience working with business customers to drive requirements
2+ years of experience managing teams
Proactive attitude
Ability to think and react in a high-energy, fast-paced environment where ambiguity is the norm
Demonstrated track record of creative problem solving; think big, start small, grow fast
Strong attention to detail, excellent organization skills, and ability to manage multiple projects and responsibilities
Experience with STATA, R, SAS or other statistical software packages

Manager Data & Analytics Resume Examples & Samples

Providing thought leadership to influence cross-organization initiatives
Facilitating complex, cross-team business process analysis
Appling predictive analytics for strategic planning
Defining best practices and standards for data, reporting, and analysis
Work with Data Warehouse and data engineers/business analysts to improve quality and coverage of data sources
Demonstrate thought leadership across a comprehensive range of data sources
Own and oversee development roadmaps to build scalability and automation into reporting and analysis
5+ years of relevant business analytics or program/project management experience
5+ years managing a team of business analysts/program managers or eqivalent
Exceptional analytical skills, comfortable working with large amounts of data and communicating data findings
Bachelor’s degree or equivalent post-secondary degree in business or related field
Ability to develop and implement operational processes and procedures across geographically distributed teams with demonstrated operational excellence outcomes
Passion for client candidate experience and demonstrated success in delivering excellent experiences
Experience with business intelligence, machine learning, and predictive analytics
Master's Degree or MBA preferred

Manager, Data & Analytics Capabilities Resume Examples & Samples

Work across key stakeholder groups in GCP business units to gather and prioritize requirements for both data and reporting/analytics needs
End-to-end management, from requirements gathering, user story creation, design & planning with AET to extensive user testing and post implementation validation
Management of end-to-end project plans. Provide status updates to leadership, including identification of issues and risks, along with recommendations and tradeoffs. Provide input on overall prioritization, scope and planning of features and initiatives
Coordinate communication, documentation and support to end customers on features, releases and issues
Ensure compliance with internal and external policies and governance practices
Provide support for periodic system and process audits. Collaborate with a cross functional delivery team that includes: Technologies, Data Governance & Quality and Data Stewards
Work with leaders on evolving the future state architecture and business capabilities map for the suite
5+ years experience working in large scale data repository and business intelligence development projects through all phases of the systems development lifecycle, including a wide variety of delivery methods
5+ years experience developing analytics and business intelligence capabilities for a variety of output media
Ability to engage in strategic and high-level technical conversations in order to provide clear management direction and drive successful system implementation
Ability to make complex prioritization trade-offs and tactical decisions using sound business judgment, analytical and reasoning skills
Strong written and oral communication skills with the ability to present complex technical solutions to both technical and non-technical audiences in an effective and convincing manner
Strong analytical skills with the ability to manipulate and analyze large quantities of data using a variety of industry tools
Excellent relationship management skills to be able to work with and influence other groups

Manager Data Analytics Resume Examples & Samples

Data Management, Database Design including Data modeling and Data Warehousing
Database applications i.e. SQL server, SSRS
Analytical software i.e. SAS,HIVE
Office Applications (i.e. VBA, MS Excel, other MS Office products
Manipulating large and complex databases

Senior Portfolio Manager, Data & Analytics Resume Examples & Samples

Develop and implement a comprehensive approach for blending traditional project management and Agile practices suitable for successful execution in a research environment
Work with department leaders, Strategic Operations and other governance bodies to ensure compliance with enterprise portfolio requirements
Represent the department on the Co-PLT (Coordinating Organization of the Portfolio Leadership Team) and other leadership teams
Ensure successful execution of funded ATSV discretionary portfolio work and analytics projects through the leadership of a team of project managers and product owners/managers
Develop and lead a team of employees with diverse skills, responsibilities and career paths
Influence and lead adoption of portfolio governance practices among department leaders and teams
Provide effective, real-time performance management feedback, coaching and mentoring
Consistently demonstrate influential leadership and leads by example when handling ambiguous and difficult situations
Provide and communicate strategic vision and provides line of sight between their work and Allstate strategies
Leverage corporate-wide network of contacts to manage complex issues and to advance the work of the department
Partner with others in their organization to set and manage expectations; continually seek opportunities to be a thought partner and to increase internal business partner satisfaction
Exhibit advanced discipline and insurance knowledge, working knowledge of all teams (business, technology, etc.), through product and process recommendations
Effectively navigate across Allstate Personal Lines and Shared Services
Education: Bachelor’s degree or equivalent experience
Experience: 10 + years' experience with increasing responsibility; prior insurance experience preferred
Familiarity with project management methodologies including waterfall and Agile
Advanced proficiency in Microsoft Office suite
Advanced problem solving skills
Advanced decision making skills
Advanced communication skills (written and verbal)
Advanced time, organizational and project management skills
Advanced negotiation skills
Advanced conflict resolution skills

Associate Manager, Data Analytics Resume Examples & Samples

Systems Applications
Advanced knowledge of Excel (VBA / SQL / Pivot Tables /Macros/ Access knowledge preferred but not required)
Minimum of 3 years relevant experience
High attention to detail
Passionate about business analysis and developing tools that help senior management in decision making
Strong communication skills - written and verbal
Basic PowerPoint Skills
Strategic Thinker / Problem Solver
Build collaborative relationships

Senior Manager, Data & Analytics Resume Examples & Samples

Working with Sector leadership to identify potential market opportunities within the Data Management space
Utilising your own network and the firms to build out a pipeline in the Data Management space
Leading sales and marketing campaigns and producing White Papers/POV’s
Internal and external branding via conference and trade show presence
Managing the development and presentation of client proposals including approaches, resourcing, costing, quality assurance and commercial risk management including use of near shore and off shore delivery centres
Managing and executing the delivery of engagements
Reviewing and writing client reports including findings and recommendations
Managing and mentoring D&A personnel and wider engagement team members e.g. change resources etc
Data Governance structure and roles and responsibilities
Standards, Policies, Metrics & Controls
Master Data Management (MDM)
Data Quality Management (DQM)
In depth experience designing and enabling effective Data Governance & Data Quality management capabilities including development of data governance structures, data standards and data metrics across multiple projects, as well as the business change aspects of enabling organisations to treat their data as an asset
Strong data quality assessment and data quality improvement skills, including knowledge of different data quality improvement approaches and remediation strategies, and good experience of “hands on” root cause analysis of data quality issues
Experience with leading Data Quality and Data Governancetools, including offerings from IBM, SAP, Oracle, Talend, Informatica, Microsoft, Collibra etc
Experience of designing and delivering MDM solutions using a variety of approaches and technologies (e.g. SAP MDG-M, IBM InfoSphere MDM, Orchestra Networks, Informatica MDM, Stibo, Visionware Multivue)
Experience of technical implementation skills and solutions would also be highly preferential
Advanced MS Access and MS Excel (including VBA)
Experience using SQL for modifying, manipulating and transforming data
Experience with RDBMS technologies (e.g. Oracle, MS SQLServer, IBM DB2, Teradata)
Experience with Data Integration technologies including ETL (e.g. Informatica PowerCenter, IBM Infosphere DataStage, MS SSIS)

Manager Data Analytics Resume Examples & Samples

Independently manage analytic projects of intermediate to advanced sophistication from design to resolution with minimal oversight
Leverage emerging technologies (Big Data) and advanced analytic techniques to create the statistical models required to identify conditions that have the potential to affect customer experience
Design, develop and implement sophisticated data analytic solutions to ensure the ongoing integrity of our revenue stream and customer experience
Design and develop standard and ad hoc reporting based on business requirement needs
Direct and coordinate the process to extract, normalize, analyze, review and report with respect to data mining efforts related finance operations
Identify opportunities for revenue recovery and assist in implementation
Utilizing business knowledge, financial analysis skills and risk management techniques, champion efforts to effect changes within the business to ensure subscribers are billed correctly
Extract, normalize, analyze, review and report on billing centric data to identify trends and/or anomalies
Partner with cross-functional groups across the enterprise in Finance, Marketing, IT, Network and Supply Chain to assess impact and drive critical issue resolution
Exercises sound judgment in developing methods and techniques that requires data analysis and interpretation
Direct the identification and use of appropriate analytical technologies
Ensure analytics are captured using dashboard using statistical means, Teradata, and ETL and critical issues are identified and resolved in a timely manner
Partner with cross functional Finance organizations, IT, Marketing, and Product teams to identify issues and drive complex issues to resolution. This includes, but is not limited to

Manager, Data Analytics Resume Examples & Samples

Lead and creating a business analytics function
Use data to develop new statistical models to improve our ability to synthesize and extract insights from large volumes of data
Be a thought leader on data mining and analysis to uncover trends and correlations to develop insights that can materially improve our marketing investment decisions
Be the voice of analytics and communicate insights and recommendations to senior management
Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will be able to extract insights from data and be able to clearly communicate appropriate triggers and actions
Be a key senior member of the HS3C management team
Master’s or Bachelors degree in MIS, Data Science, economics, statistics, or a similar quantitative field
10+ years work experience in data analysis, applied statistics or econometrics
5+ years of experience managing teams of 5 or more is required
Strong knowledge of longitudinal consumer analyses
Proficiency with SQL, SAS, R (or similar tools) required
Experience handling very large datasets
Candidates with a Ph.D. in a relevant field are preferred

Manager, Data & Analytics Resume Examples & Samples

Work across several clients on ad hoc and ongoing projects
Mine advertising and business data for relevant and actionable insights
Clearly communicate key findings and insights to media planning team and client
Stay informed on evolving media landscape, including research and emerging trends to provide insight to both media planning team and client
Contribute to the Data & Analytics team across clients, through sharing of ideas and best practices
Potentially manage one or more analysts

Manager Data Analytics Resume Examples & Samples

Bachelors’ Degree in Business, Marketing, or related field
Minimum of 5 years of data analysis, data quality, and data integration
Minimum of 3 years of Master Data Management experience
Minimum of 5 years of Operational Experience (Sales, Marketing or Supply Chain Operations)
Master’s degree in Analytics, Data Science, Information Technology, Math, Accounting, Finance, Supply Chain or equivalent work experience
Expert level experience using enterprise level BI tools such as: Business Objects, MicroStrategy, SAS, SQL, Tableau, WebFOCUS etc
Experience in defining and establishing a Business Intelligence vision and roadmap
Strong analytical skills with understanding of statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations
Strong presentation skills with the ability to communicate complex, technical concepts to leadership team
Experience with SAS, SQL, Business Objects, MS SQL Server, DB2 or equivalent
Demonstrated expert level with Microsoft Excel, Microsoft Access or SQL Server
Solid understanding of key BI trends
Strategic acumen and problem solving skills with the ability to turn large-scale, complex datasets findings into executable plans
Experience implementing and using BI tools within a distribution, retail or other transactional industry and creating an environment of 'self-service' for data and information
Ability to manage with cross-national teams and develop a high functioning team

Senior Manager, Data & Analytics Resume Examples & Samples

Undergraduate degree/MBA in Business, Finance, data science, statistics, mathematics, (or related field), or relevant experience preferred
10+ years of experience in a data and/or analytic related function
Ability to develop and/or revise tactics to support changing business strategies and direction
Ability to work with broad parameters in complex situations
Advanced understanding of enterprise business units
Good organizational and time management skills
Ability to manage and coach others
Advanced ability to manage multiple priorities given aggressive timelines; comfortable performing in a fast paced, dynamic and ambiguous business environment; manage both internal and external resources
Ability to lead, coach, and develop staff, particularly in the areas of strategy and leadership
Strong interpersonal and influencing skills

Manager Data & Analytics Resume Examples & Samples

Drives operational activities
Ensure compliance to system architecture, methods, standards, practices and participate in their creation
Applies industry leading standards/practices across all integrations
Ensures compliance to system architecture, methods, standards, practices and participate in their creation
Drives SLAs for multiple products with different tech stacks – both on-premise and cloud
Has exposure to cloud operations such as AWS and Predix stack
Has exposure to QA framework and is able to go over test cases
Provides support, analysis; guide 3rd party consultants throughout the systems development life-cycle to ensure quality, IT SDLC, and compliance requirements are met
Develops peer, cross- functional and cross-GE Business relationships to maximize best practice sharing and team effectiveness
Clearly articulate and effectively influence both business and technical teams, as it pertains to driving standardization of integrations across platforms
Work closely with various integration efforts and identify opportunities for data quality/governance controls to improve data integrity and operational excellence
Develops detailed analysis, design, construction and testing specifications ensuring technical compatibility and integration
Leads effective working relationships with finance, business teams, peers and vendors to seamlessly integrate assigned program deliverables into overall strategic team objectives
Leads requirements gathering activities with functional customers across the company, while balancing their needs with adherence to the Enterprise Standard
Translates high-level business requirements into detailed functional and technical specifications
Leads all testing activities prior to user acceptance testing ensuring quality and requirements are met
Bachelor of Science Degree in Information Systems or related discipline, OR relevant IT work experience
Strong IT programming experience involving Financial Systems
Proven experience working with system analysis, design; supporting enterprise platforms
Experience working with AWS, Big data tech stack
Informatica expertise preferred
Strong IT programming experience with ETL
Strong experience of driving technology decisions and directing a QA teams
Experience in partnering with off-shore teams
Strong sense of ownership, urgency and drive
Self-starter, requires minimal direction to accomplish goals
Ability to meet deadlines and work under pressure
Strong desire for exploring, evaluating and understanding new technologies
Experience with complex system integrations
Strong analytical and strong problem solving skills - communicates in a clear and succinct manner and effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve; creates actionable strategies and operational plans
Proven experience in onshore and offshore team management
Excellent influencing, interpersonal and communications skills (both written and verbal) with all levels of an organization
Strong track record of understanding and interest in current and emerging technologies demonstrated through training, job experience and/or industry activities
Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources; has experience working with others on a global basis; applies knowledge to coach and mentor others
Demonstrated customer focus – evaluates decisions through the eyes of the customer; builds strong customer relationships; creates processes with customer viewpoint; partners with customers to help shape their future initiatives
Change oriented – actively generates process improvements; champions and drives change initiatives; confronts difficult circumstances in creative ways, balances multiple and competing priorities and executes accordingly
Able to connect with a broad network beyond current location and/or business to solve issues
Black Belt or Green Belt Certified (GE Employees Only)
ITLP Graduate (GE Employees Only)

Senior Manager, Data & Analytics Resume Examples & Samples

Working with the client to identify “the right thing to do”
Planning, managing and executing the delivery of engagements
Writing client reports including findings and recommendations
Review and quality assurance of work products
Engagement assurance and commercial risk management
Managing and mentoring engagement team members
On-going business development both internally and with clients
“Hands on delivery” of solutions through the entire lifecycle
Experience of Advanced Analytics languages and solutions (e.g. R, Python, SPSS, SAS, Oracle Advanced Analytics, SAP Advanced Analytics, Alteryx etc)
Good understanding of leading Big Data solutions and architectures including open source (e.g. Hadoop, IBM Biginsights, Hortonworks, Azure HD Insight, Oracle Big Data Appliance etc)
Experience in design and implementation of leading Business Intelligence solutions (e.g., SQL Server/Azure/Power BI, Cognos BI, SAP BI, OBIEE etc)
Ability to write scripts in SQL(T-SQL or PL/SQl)
Working knowledge of a range of visualisation tools (Tablaeu, Spotfire, Qlikview etc)
Good understanding of Enterprise Information Management reference models including Data Governance and Security
Support maturity assessment and development of business intelligence and advanced analytics strategies and roadmaps
Ability to analyse and review client business data to identify key indicators pertaining to operations, risk, finance, compliance, or process and controls
Experience in facilitation and definition of warehousing and analytics business requirements
Good understanding of data modelling and data cube design e.g. star and snowflake schemas as well as data modelling tools e.g. Erwin, Power Designer etc
Definition of Business Intelligence/Big Data & Analytics technical architectures including good understanding of on premise and cloud based solutions, hybrids and relative architectural implications
Educated to degree level or equivalent by qualification or experience
Relevant technical and / or professional project management qualifications highly advantageous including one or more of R, Python, Hadoop, SPSS, SAS, OAA, SQL, PRINCE2, PMI etc)

Manager, Data & Analytics Resume Examples & Samples

Oversee daily activities of small team of analysts responsible for optimizing operational activities and client data/claim flows. This includes supporting operation teams (e.g. Investigations, Code Edits, OON)
Data-mining of Change Healthcare operational data sets, using tools like PL/SQL, R, Tableau, Redshift, Alteryx, etc, for incremental client savings opportunities
Support product leadership on the design, development, and delivery of new analytic/information-centric products
Maintain current knowledge of Change Healthcare’s data sources and associated use opportunities/restrictions, and assist in the development of data structures that support a broad analytics competency (e.g., a data warehouse)
Present analytic results and recommendations to peers and up-line management
Train and educate internal staff and management on data mining methodology and business issues unique to healthcare products
Hold the team accountable to perform tasks accurately and in a timely manner
Anticipate future trends and potential impact and communicate accordingly
Maintain effective working relationships within team and among internal customers
Effectively and comfortably interact with upper management
5+ years leading high-performing, technically oriented teams
Have 5+ years experience analyzing large datasets
Have 5+ years of extensive programming experience on statistical and data manipulation tools like PL/SQL, R, HIVE, PIG, Tableau, Alteryx, Informatica, etc

Manager, Data Analytics & Administration Resume Examples & Samples

Assist the Associate Director, Data Analytics and Administration to provide mentoring to team members and assist in building and maintaining the administration systems, procedures, and documentation to successfully administer business
Responsible for the data governance processes, the assessment and remediation of data quality related issues and participating in the development of local and corporate standards, procedures, and process improvements
Ensure all data management processes and standards are in accordance with divisional and corporate standards
Ensure that the functionality of the administration systems will address the business needs
Ensure that the data is accurate for input to accounting records, valuation systems, regulatory returns and other required information for both business and financial reporting purposes
Assist corporate actuary to build and execute the data strategy and plan. This will include capability and roadmap development as well as identify areas of priority
Perform data mining and analytics to support ongoing continuous risk monitoring and risk assessments of operational or financial data to recognize patterns and trends
Facilitate and provide financial analytics on pricing and product profitability
Collaborate with the product development team to define data analytics that can be integrated into our business models and tactics

Manager Data Analytics Resume Examples & Samples

Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques etc
Strong statistical programming skills with standard software, including SAS and STATA
Strong statistical programming skills with R
Background in epidemiology would be a great asset
Strong communication (spoken and written) and problem-solving skills, and an ability to learn-quickly
Ability to communicate effectively, in non-technical terms, with project team members
Work well in a team as well as independently, and be able to take leadership role with regard to methodological elements in projects

Manager, Data Analytics Resume Examples & Samples

Lead and coordinate all data development and reporting within ODLSS
Coordinate with other data leaders and high-end data teams
Act as the data steward for ODLSS within the data governance committee (DGC) and follow all data policies, methodologies, approved tools, and documentation standards as established by the DGC
Provide continual development of staff to ensure technical expertise and to build a team of subject matter experts who perform at a high level and work together well as a high-performance team
Act as the lead coordinator with the ODLSS data team to conduct complex analytics and ensure goals, action plans, and projects are all being completed in an effective and timely manner
Identify areas of focus and improvement throughout the department through the use of data strategies
Monitor Diverse Learner metrics, including compliance rates and quality indicators
Strive for optimal teamwork and collaboration within all CPS teams and business partners
Monitor that resources paid with Diverse Learning funds are performing only duties consistent with their job descriptions
Develops, validates, and submits all mandated reporting required by the Illinois State Board of Education
Acts as the liaison with the ITS-SSM team for functional changes and implementation of business practices
Ensure compliance with all ODLSS-related state reporting
5-7 years of work experience in data analytics, program and personnel management, budget processes, and compliance
Proven experience in building effective teams
Exceptional organizational, communication presentation, analytical and critical thinking skills
Ability to work in a fast paced environment, respond immediately to multiple constituencies and meet continuous critical deadlines
Ability to manage staff and multiple groups and priorities at one time with different areas of focus
Proficient in writing SAS code to manipulate data and conduct advanced statistical analyses
Expertise in cleaning data required
Significant experience working with quantitative and qualitative research and evaluation
Advanced knowledge of SQL and SAS, SPSS or STATA
Familiarity of CPS data systems is a plus

Manager Data & Analytics Resume Examples & Samples

Manages all aspects of one or more small to medium complex projects from initiation through closure in BI Solution Delivery Center using existing standard practices and processes. Works to transform these practices and processes as necessary to simplify and streamline workflows
Responsible for ensuring appropriate practices and processes to facilitate the effective and efficient management or team goals, objectives and priorities
Creates project plans and cost estimates
Establishes and manages client relationships, leads and assists in planning reporting initiatives
Ensure successful transition to support and maintenance teams
Manages daily activities, issue resolution and communication across project execution teams in order to deliver projects on-time, on-budget, as requested by customer
Identifies critical path decisions, makes recommendations and influences program leaders and business process owners to maximize project payback
Develops peer, cross-functional and cross-GE business relationships to maximize best practice sharing and team effectiveness
Experience with various project and program management methodologies including Waterfall, Agile
Demonstrated project management skills including project initiation, scoping, resourcing, scheduling, budgeting, risk management and communication
Experience with implementing / managing PMBOK practices as appropriate
Project management experience in global environments
Good working knowledge and exposure to projects involving Business intelligence, data warehousing, and data engineering tools and technologies like Informatica, Pivotal, Qlikview, Spotfire, OBIEE, etc
Excellent written and verbal communication and influencing skills
Proven track of leadership capabilities
Ability to learn complex business systems/processes and develop innovative solutions to meet the business requirements

Manager, Data & Analytics Resume Examples & Samples

A minimum of a Bachelors’ Degree or equivalent is required
A minimum of 8 years of business experience is required
Strong business analytics and visualization IT experience is required
Proven experience building and maintaining business warehouse and analytics capability is required. Proven experience deploying business analytics tools, business intelligence and visualization solutions is required
Experience with CRM solutions is an asset
Demonstrated success applying one or more of the following Tableau, Cognos, Qlik or equivalent analytics tool to deliver insights is required
Agile experience is required
Applied experience with Amazon Web Services Red shift is preferred
Experienced with leading projects from inception to completion is required
Experience in the Medical Devices/Pharmaceutical/Healthcare/Commercial industries is preferred
Demonstrated working experience with advanced analytics, statistical analysis and predictive modelling is preferred
Experience with unstructured big data is preferred
Experience with Mobile Analytics is an asset
This position is located in Markham, Ontario and may require up to 15% domestic travel & travel to the United States.6309170327

Senior Manager, Data Analytics Resume Examples & Samples

Works with data scientists to understand strategy and translate into actionable data sourcing
Supports the analytical process
Identifies, prioritizes, and communicates data requirements to support big data analytics that deliver key business insights
Sources, cleanses, and constructs data for use by data scientists and modelers
Facilitates meetings with business users and project stakeholders to document and review requirements
Plans, implements, and tracks long-term and short-term data projects
Partners with technology teams to operationalize findings from exploratory data sourcing sprints
Develops business data domain expertise to enable accelerated delivery of data for modeling/analytics needs, including robust documentation on new data sources and domains
Demonstrated Expertise (“DE”) performing data mining, transformation, and analytics of retail and workplace customer data, including channel, interaction, products, segments, and sales activities
DE mining big data sources to support development of predictive models, including creating statistical algorithms to perform logistic regressions, time series, and clustering analysis, and to grow random forests and estimate mixed models; and implementing parametric and non-parametric techniques for large customer behavioral and transactional data sets using Business R systems products
DE gathering and interpreting business and stakeholder requirements; and sourcing and developing business, functional, and technical requirements, analytical strategies, and data transformations to support and inform business decision making within a direct to consumer financial services company, including finance, distribution, products, marketing, sales, and service domains
DE performing data mining, extraction, cleansing, and analysis for large data warehouses, using Business R, Oracle, MS-SQL server, Hadoop, PostgreSQL, Hive, and Spark; creating new ETL processes; and designing data models and generating visual insights from customer data, using SSRS, Tableau, QlikView, and Business R visual analytics

Manager, Data Analytics Resume Examples & Samples

Assist audit and advisory clients in evaluating consumer loan portfolio risk assessment models
Create consumer credit loss forecasting methodologies for clients
Evaluate analytical models and methodologies used in consumer credit lending, account management, and collections
Participate in the proposal process for potential engagements
Serve as mentor to staff and new hires
Oversee various engagement personnel
Regularly communicate with project sponsors and other interested client parties
Manage various facets of engagement including risk management, project acceptance, billing, delivery, and collections
Develop and sell new and existing clients, including development of marketing plans and sales strategies
A minimum of five years of work experience in credit risk
Master’s and/or PhD degree in engineering, operations research, physics, mathematics, or statistics from an accredited college/university
Experience in the application of underwriting and behavior scoring models, prepayment and loan account attrition models, loss forecasting, economic risk analysis, and other business analysis tools used in consumer and small business lending
Progressive experience leading teams and managing projects
Ability to develop and sustain meaningful client relationships
A minimum of eight years of related work experience in a financial services and consulting firm
PhD degree in engineering, operations research, physics, mathematics, or statistics from an accredited college/university
Established network of industry contacts and business development opportunities
Excellent interpersonal skills with the demonstrated ability to gain the confidence and respect of various levels

Manager, Data Analytics & Visualization Resume Examples & Samples

Serve as a key interface translating business requirements into functional Information Management requirements
Work with our aftermarket stakeholders to understand their business and identify what data and reports they need in order to measure, monitor and improve their business
Work with the business to develop and support business cases for recommended changes
Analyse large datasets and develop insights into business performance and variance analysis
Support creation of dashboards and reports, showing KPI’s for our customers
Create and publish periodic and ad hoc reports and analyse data quality and discrepancies
Train users in creating ad-hoc reports, as well as create standardized and automated reports
Harmonize different dashboards and reports to an unified look and feel for aftermarket functions
Optimize business processes through business analysis and solution design
Benchmark with other business areas outside of Truck, e.g. Volvo Construction Equipment, Volvo Bus and Volvo Penta on Best Practices or outside the Volvo Group
Actively contribute to the development of our Visualization tools
Understand and leverage the global Process and IT organization and decision making structure to prioritize and effectively advance improvement opportunities
Strongly represent the Volvo and Mack Trucks North America interests in global and local project teams where required
Represent North America in assigned steering committees and workgroups to insure business needs and requirements are fulfilled
Drive local continuous improvement and enhancement project activities related to area of responsibility
Build and maintain a strong performing team through providing leadership, appropriate delegation, coaching and training of direct reports
Bachelor’s Degree in a related field or equivalent work experience in Data Analytics, Visualization Management (tools), Information Management, Business Intelligence
Master’s Degree or MBA in related field is a strong merit
Highly skilled and using Tools such as SAS Enterprise Guide, SAS Visual Analytics, QlikView, Business Objects, Power BI, Excel and SharePoint
Passion for data analytics and successful creation and use of dashboards and reports
Leadership or Project Management experience
Automotive industry knowledge is preferred
Experience in aftermarket business (parts and service) or working with customers and field personnel is a strong merit
Worked in a multi-cultural environment
High energy, self-motivator with a constant drive to improve and to find better ways to present and visualize data
Successfully worked with continuous improvements of systems and processes

Manager, Data Analytics Resume Examples & Samples

Integrate data received from markets into the Analytics data environment
Control definition standards and maintain consistency among all of the area’s tools and reports
Develop and promote the creation of accepted and uniform standards relative to generic risk-based terms, formulas, definitions and financial reporting numbers
Ensure reporting development, production, and control processes are consistent with Bank’s standard end user computer policies; reporting process and definitions are adequately documented and periodically reviewed and updated
Design, develop and continually improve/upgrade the analytical data summary tools. Stay abreast of advances in risk and performance analytics and apply those developments to the extent appropriate
Innovative by devising novel solutions that will streamlines processes and improve effectiveness
Ability to influence and secure co-operationssistance from other department in International Banking (e.g. product areas, Business Information Systems and related systems project teams) and outside vendors

Manager, Data & Analytics Resume Examples & Samples

6 years’ experience in a mathematics or engineering role
2 years’ experience in business operations
2 years’ experience working with cross-functional teams

Manager Data Analytics Resume Examples & Samples

3 - 5 years of experience in data analysis, data mining or analytics in healthcare related fields
3 - 5 years of experience working with EMR/Clinical databases and clinical or enterprise data warehouses as data or software analyst
1 - 3 years of experience working with and optimizing SQL queries and relational database schemas

Manager, Data Analytics & Geospatial Services Resume Examples & Samples

Tertiary qualifications or equivalent experience
Significant experience in large scale logistics, operations and/or supply chain management
Experience managing a multidisciplinary team to deliver business critical outcomes
Experience in supplier relationship management and contract administration
Politically neutral with no affiliation to political parties or lobbyists/campaigners
Satisfactory Criminal Record check result
Describe your major achievement(s) in successfully implementing policies / procedures / guidelines within previous roles in government or other medium or large organisations (maximum 300 words)

Engineering Manager, Data Analytics Resume Examples & Samples

Develop the roadmap and vision around data influenced decision making
Lead a multifunctional team of data scientists, data analysts and software engineers for providing data pipelines, novel data storage and information retrieval services
Manage data collection projects to empower Oculus machine learning and computer vision development
Evaluate and define metrics and data sets to empower operational and exploratory analysis
Oversee strategic analysis and present key findings to executives
Guide innovative technical system development to enable self-service analysis across the Oculus computer vision team
Bachelor’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field
6+ years’ of industry or academic experience across analytics and data science
3+ years’ of progressive experience managing high performing teams of data scientists, software developers or data analysts
Communication skills: ability to effectively communicate with business partners, technical partners, and executives
Experience with dataset repositories and distributed computing

Senior Manager, Data Analytics Resume Examples & Samples

5+ years of related work experience and 2+ years in a management/people leader position
A successful candidate must also have a track record of strategic thinking and independent problem solving. Knowledge of pharmaceutical industry a plus
Attention to detail and a high level of understanding of how to produce accurate and meaningful metrics to deliver high quality, actionable, efficient, and interactive reporting and insights to drive business and financial KPIs

Senior Manager Data Analytics Resume Examples & Samples

Tertiary qualification or willingness to undertake qualification in in a technology, mathematics, risk or audit related discipline, CA, CPA, CISA, CIA. IAPA and/or equivalent experience, particularly with undertaking audits
Extensive experience with indepth and complex data analysis within a dynamic, high reliability environment, including a track record for providing meaningful data that adds value to risk and audit functions
Demonstrated ability to implement and maintain contemporary best practice
Ability to work on site and/or in a Corporate/Field environment

Manager, Data Analytics Resume Examples & Samples

Bachelor’s Degree or equivalent experience required, preferably in the Business Administration, Data Analytics, Finance or Math. MBA a plus
Minimum 8-10 years’ work experience in either Business Intelligence, Finance and operations or data analytics experience and in roles requiring problem solving/analytic skills, project management and presentation skills required
Comfortable wearing multiple hats, ranging from leading finance and operational discussions to working with data to provide thoughtful analysis
Self-directed, self-motivated and demonstrated experience providing ideas and solutions to further business understanding
Must be tenacious, with the emotional intelligence to know when to push harder and when to look for alternative approaches
Must be able to listen and interpret the requirements of internal clients, plan accordingly and exceed expectations
Extremely well organized and objective oriented. Tireless work ethic
Exemplifies initiative, intelligence, strong attention to detail, and integrity in striving for continuous improvement
Excellent verbal and written communication skills, as well as, strong interpersonal and organizational skills
Ability to develop moderately complex financial and operational models using spreadsheets and database software
Demonstrated financial modeling knowledge and skills. Strong analytical, quantitative, and problem solving skills
Familiarity with ERP systems such as JD Edwards is desired. Capable of using enterprise general ledger systems for investigation inquiry and report writing
Expert level in Microsoft Excel, Access & PowerPoint, Hyperion Essbase and Planning or equivalent EPM tool required; Oracle, VBA skills preferred
Understanding and application of financial analysis techniques
LI-DW1

Market Development Manager, Data & Analytics Resume Examples & Samples

Drive the overall Data & Analytics revenue performance in your territory including being the Enterprise and quantitative solutions expert within the proposition
Ensure delivery of Data & Analytics priorities and local go-to-market strategy
Partner with the Heads of Data & Analytics to deliver an effective Sales organization by driving proposition
Identify, develop and launch growth opportunities in the region
Lead large customer negotiations
Provide voice of the customer feedback to the Proposition and Product Management teams, suggesting and collaborating on business cases, partnerships and M&A opportunities to accelerate business opportunities and grow market share
Drive Thought Leadership, industry memberships, external branding and events
Connect regularly with stakeholders from other parts of the business to convey local needs and execute global business plans
Partner with the regional and proposition marketing teams to build differentiated marketing initiatives for the market
10 years+ commercial/business development/management experience
Understanding of financial services industry across buy and sell sides – preferably working in a financial services vendor/customer environment
Understanding of the financial tools used by finance professionals (Desktops, trading tools, technology infrastructure)
General management experience, with a sales and/or market development focus
Experience managing and operating in a matrix organization, including stakeholder engagement and influencing management
Proactive and extremely execution focused
Passion for career development and advancement
B2B sales experience/exposure is welcomed

Manager, Data Analytics Resume Examples & Samples

Expert-level skills in T SQL, Microsoft Excel, Microsoft Access and Microsoft Reporting Services (or similar reporting platform), as well as basic proficiency in Oracle and DB2 SQL
Report development in SSRS
Strong experience with other reporting tools (Business Objects, Tableau, MicroStrategy, etc)
Understanding of data visualization strategies used to illustrate information using technology such as Tableau or QlikView
Highly collaborative
Strong financial understanding of economic impacts to the bottom line and how conditions can change them
Must have significant data mining, analysis, and reporting experience, and some experience with IT project management
A successful candidate must also have a track record of strategic thinking and independent problem solving; knowledge of pharmaceutical industry a plus
Expertise troubleshooting data quality issues and analyzing data requirements

Senior Manager, Data Analytics Resume Examples & Samples

Work on a wide variety of solutions based on client and tax engagement team’s needs
Collaborate with industry and subject matter experts
Lead the design and development of tools and technology, working with data scientists, data integration teams and visualization experts to deliver analysis that fits the needs
Lead the preparation and presentation of materials including proposals, findings and reports
Provide guidance, supervision and training to staff members
Perform hands on tasks, including with data acquisition from disparate systems, data transformation and analysis and communicate findings via visualization tools
A minimum of eight years of experience in leading and delivering data integration or data analysis projects
Strong statistical programming background in one or more languages: R, Python, SAS, etc
Development experience with one or more programming languages (C#, Java) and database technologies (SQL Server, etc.)
Knowledge of one or more ERP systems is a plus
Knowledge of machine learning and/or big data tools (Spark, Hive, Pig, etc.) is a plus

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