Analyst, Business Intelligence Resume Samples

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TD
T Donnelly
Tina
Donnelly
259 Ken Trace
Dallas
TX
+1 (555) 744 9041
259 Ken Trace
Dallas
TX
Phone
p +1 (555) 744 9041
Experience Experience
Los Angeles, CA
Analyst, Business Intelligence
Los Angeles, CA
Tremblay Inc
Los Angeles, CA
Analyst, Business Intelligence
  • Working with and presenting to all management levels (CP2 to EVP)
  • Recommends improvements to competitive business intelligence reports and interpretation of data by sales, business development, product, and executive committees
  • Work with and present to all management levels (CP2 to EVP)
  • Manage catalogue of standardized Planning and Merchant reporting, continuously seeking improvements and efficiencies
  • Work in virtual teams with Customer Operations, Finance, Marketing, Network Engineering, Pricing and IT Specialists to make data driven business decisions
  • Work in virtual teams with Customer Operations, Marketing, Pricing and IT Specialists to make data driven business decisions
  • Recommends improvements to competitive business intelligence sources and interpretation of data by sales, business development, product, and executive committees
Chicago, IL
Developer Analyst / Business Intelligence
Chicago, IL
Brekke-Senger
Chicago, IL
Developer Analyst / Business Intelligence
  • Provide mentoring and coaching for junior and mid-level developers
  • Support team projects, like customer lifetime value calculations and developing forecasts
  • Design, implement and maintain code in development, test and production environments. Design solutions to support systematic promotion between environments
  • Perform other job-related duties and responsibilities that may be assigned from time to time
  • Assist with code reviews
  • Design, develop and troubleshoot permissions schemas using advanced security concepts such as proxies and impersonation
  • Perform SQL Server administration activities including backup, restore, DBCC commands and indexing
present
Detroit, MI
Analyst, Business Intelligence & Optimization
Detroit, MI
Walker-Smith
present
Detroit, MI
Analyst, Business Intelligence & Optimization
present
  • Research and develop new reporting tools/applications to drive to improved reporting and reduce cost
  • Assist with analysis and benchmarking NFL Digital Media Properties against competitors within the sports vertical
  • Assist with analysis, dissemination and presentation existing and pro forma trends to senior management and platform stakeholders
  • Support reporting flow for BIO managers on behalf of NFL Digital Media stakeholders including NFL Now, User Acquisition, Content, Product, Technology, Ad Sales/Sponsorship, Business Development, Clubs, Creative and PR
  • Work with development teams to roll out web analytics implementations and QA
  • Data driven professional who makes decisions based on empirical evidence and can persuade others to do the same
  • Continue to improve and enhance NFL Digital Media automated/real-time dashboards and visualization of key metrics
Education Education
Bachelor’s Degree in Business
Bachelor’s Degree in Business
Northern Illinois University
Bachelor’s Degree in Business
Skills Skills
  • Ability to learn quickly and translate data into clear and actionable results, and strong organizational skills
  • Ability to work effectively in a fast padded, deadline driven, highly dynamic atmosphere and react quickly to changes and shifting priorities
  • Analytical and creative ability to understand, articulate and create a business relation for unique and profitable initiatives, and identify significant trends
  • Detail and quality oriented, strong self-testing skills
  • Flexible and adaptable, able to change and alter according to changes in projects or business environment
  • Ability to ensure a high level of service and quality is maintained
  • Strong Sense of Data Visualization with software such as Tableau
  • Possess strong knowledge of data query language, data definition and data manipulation
  • Well-organized, detail-oriented, and able to handle a fast-paced work environment
  • Ability to deliver executive presentations and reporting
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15 Analyst, Business Intelligence resume templates

1

Analyst, Business Intelligence Resume Examples & Samples

  • Develop Big Excel model with a lot of complexity to forecast the sales for the auto and Home product of TD Insurance
  • Build report to follow the marketing campaign activities
  • Meet several business leaders within the organization in order to build some Business case for the marketing activities and the Affinity Market Partner
  • Communicate with internal clients from Marketing, Finance, Workforce Management, etc. in order to answer a variety of questions
  • Perform analyses in order to explain fluctuations, trends or gaps between different data sources
  • Produce and validate a lot reports to measure the impact of the revenues
2

Analyst, Business Intelligence & Analytics Resume Examples & Samples

  • Reports to Manager, Business Intelligence & Analytics (BI&A)
  • Supports the delivery of technology, process improvement and talent management initiatives in support of the TD Enterprise Data Strategy
  • Assists with the development and execution of analytics roadmap strategies, business cases, RFP/RFI submissions, cost-benefit analysis and benefits realization deliverables
  • Assists with maintenance of tracking dashboards for OCDO
  • Supports the development of communication materials, internal and external presentations, assists with training development and event preparation
3

Analyst, Business Intelligence Resume Examples & Samples

  • Assess and recommend metrics and analytics with modeling for more effective internal and cross- functional business practices
  • Manage catalogue of standardized Planning and Merchant reporting, continuously seeking improvements and efficiencies
  • Manage planning systems to ensure integrity of financial plans, forecasts, and hierarchies
  • Provide frontline support for Business Intelligence/reporting for Planning team
  • Create and maintain accurate, planning and analysis reporting and distribute all reporting in a timely manner
  • Manage Retail IQ Markdown Event calendar
  • Provide consolidated reporting and analysis on inventory management
  • Develop and distribute tracking reports for inventory/sales of advertised product
  • Provide analysis and assist with preparation for key management meetings
  • Provide all reporting and analysis including Vendor 3 year plan, WAR Reports, Turnover, and Forecast documents
  • Manage stock movement calendar and communication
  • Manage markdown system processing and communication to stores
  • Manage the weekly communication to stores as it pertains to inventory management
  • University or College Degree/Diploma, preferably in business systems
  • Minimum 3+ years experience in analytics
  • Thorough understanding of the retail and cost accounting methods of accounting
  • Experience working effectively across cross-functional teams
  • Solid technical and analytical expertise, Advanced Excel, Access, B.I. Report Building, SQL programming, VBA Scripting
  • Strong business acumen and communication skills
4

Analyst, Business Intelligence Management Resume Examples & Samples

  • Develop and automate excel reporting based on examples or Key Business Requirements
  • User support for Adobe Marketing Cloud users. Provide training,QA implementation improvements and create excel/in app dashboards
  • QA data and reporting on a regular basis
  • Spot reporting in accuracies, troubleshoot and problem solve as necessary
  • Provide support for ad-hoc data analysis. Provide fast and accurate data when needed
  • Provide user training and support for our reports and tools in the form of in-person training, creating and maintaining training documents when appropriate
  • Ability to think on your feet
  • Proven ability to work with cross-functional teams
  • Ability to operate with high degree of autonomy
  • Experience using the Adobe Marketing Cloud toolset (formerlyOmniture), including implementation of SiteCatalyst and reporting using ReportBuilder and adhoc (formerly Discover)
  • Experience with D3, Metric Insights, Tableau or other data visualization platforms
5

Analyst, Business Intelligence & Optimization Resume Examples & Samples

  • Support reporting flow for BIO managers on behalf of NFL Digital Media stakeholders including NFL Now, User Acquisition, Content, Product, Technology, Ad Sales/Sponsorship, Business Development, Clubs, Creative and PR
  • A willingness and capability to gain deep understanding and experience with enterprise analytics tools (e.g. Omniture Suite, ComScore Google Analytics, etc.) and social analytics tools (Twitter, Facebook Insights, Adobe Social etc.), including analytics architecture and integration with other data sources
  • Assist with analysis, dissemination and presentation existing and pro forma trends to senior management and platform stakeholders
  • Assist with analysis and benchmarking NFL Digital Media Properties against competitors within the sports vertical
  • Support usability research working closely with BIO Managers, Product and Creative stakeholders
  • Work with development teams to roll out web analytics implementations and QA
  • Continue to improve and enhance NFL Digital Media automated/real-time dashboards and visualization of key metrics
  • Highly analytical person
  • Results driven; does what it takes to get the job done and naturally goes the extra mile
  • Ability to thrive in a fast-paced work environment as well as adapt to continually changing priorities and aggressive project timeframes
  • Passionate about leveraging the power of data
6

Digital Analyst, Business Intelligence Resume Examples & Samples

  • Report and interpret performance data to deliver key highlights to the senior management of the business on a regular basis
  • Integrate data from our digital tools, internal databases, feeds, 3rd party systems and variety of other sources to report KPIs and generate insights
  • Proven track record of delivering and presenting commercially beneficial insights and reporting to large businesses
  • Numerically brilliant – both from a commercial and analytics perspective
  • Strong data interpretation skills – ability to extract key details from a vast volume of data and highlight insights, gaps, opportunities and recommendations
  • Experience with any web analytics tools (Adobe Analytics/Omniture, Core Metrics or Google Analytics) required. Knowledge and experience with Adobe analytics/Omniture suite of tools preferred
  • Strong data manipulation skills – ability to help handle and process large data sets and produced condensed reports and analysis
  • Advanced knowledge of Excel, VB and SQL with demonstrable experience
  • Strong experience with MS PowerPoint/Prezzi/other presentation tools
  • Experience and in-depth understanding of digital marketing, digital media analytics, web analytics, measurement, testing and optimisation
  • Strong communication skills - growing effectiveness and versatility in oral presentation as well as solid business writing skills
  • Working knowledge/Experience of SAS, R or SPSS preferred
7

Analyst, Business Intelligence Resume Examples & Samples

  • Maintain and expand your knowledge of BI and current technology through training opportunities
  • You have knowledge of, and preferably experience with, Big Data and/or software development, and/or developing visualization tools
  • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
8

Analyst, Business Intelligence Resume Examples & Samples

  • Assess and recommend metrics and analytics with modeling for more effective internal and cross-functional business practices
  • Work cross-functionally to provide in-depth analysis and recommendations utilizing various owned systems
  • Provide frontline support for merchandise information/reporting for Planning team
  • Facilitate the markdown process and provide detailed reporting
  • Coordinate the system-based processing and store communications for markdowns, weekly inventory management and the stock movement calendar
  • Thorough understanding of the retail method of accounting
  • Solid technical and analytical expertise, Advanced Excel, Access, B.I. Report Building, VBA Scripting
9

Analyst, Business Intelligence Resume Examples & Samples

  • Manage the end-to-end reporting and analysis for all D2D sales transactions
  • Responsible for monitoring key performance indicators of the D2D sales force
  • Strategically identify, pull and execute on key lists / segments for D2D agents
  • Deliver on specific ad hoc reporting requests and engage stakeholders to understand the underlying business problem, base assumptions and desired outcomes
  • Collaborate with business partners to identify opportunities to apply new insights to various areas of the organization
  • Identify opportunities to improve delivery of insights to business stakeholders
  • Bachelor’s/Master’s degree in Business, BI, IT, CS, Engineering, Mathematics, Statistics and/or related fields
  • 2+ years experience in analytics or related disciplines
  • Strong business acumen, with an appreciation for the need to quickly execute in an ever-evolving competitive environment
  • Ability to quickly analyze information and determine “what does this mean for the business”
  • Working knowledge of SAS Enterprise Guide
  • Working knowledge of Teradata, Oracle
  • Experience with data modeling and predictive analytics
10

Analyst, Business Intelligence Resume Examples & Samples

  • Analysis, report development, and delivery of business requests/issues/requirements, conducting quality assurance testing for all BI deliverables, and providing end user support related to project and operational Business Intelligence activities for other business units
  • Implement defined documentation and programming standards for projects and provide a documentation framework including requirements, design, testing and deployment documents
  • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
  • You have a Bachelors degree, or Masters in a discipline such as: Business analytics / business intelligence, applied math, computer science, applied science / engineering, economics/econometrics, management science / operations research or related area
  • Advanced level of proficiency in Microsoft Excel
11

Analyst, Business Intelligence Resume Examples & Samples

  • Analysis, report development, and delivery of business requests/issues/requirements, conducting quality assurance testing for all BI deliverables, and providing end user support related to project and operational Business Intelligence activities for Sales & Marketing business functions
  • Customer relationship management along BI lines for the assigned business functions
  • Explore new sources of information to expand insight opportunities
  • Empower end-users through instruction and functional knowledge transfer
  • Works closely with Finance and other stakeholders to align governance around key business metrics
12

Analyst, Business Intelligence Resume Examples & Samples

  • Work in virtual teams with Customer Operations, Marketing, Pricing and IT Specialists to make data driven business decisions
  • Explore new sources of information to uncover new opportunities
  • Bachelors degree, or Masters in applied math, computer science, applied science / engineering, economics/econometrics, management science / operations research, or business analytics / business intelligence
  • You have knowledge of, and preferably experience with, big data and/or software development, and/or developing visualization tools
13

Analyst, Business Intelligence Resume Examples & Samples

  • Understand the BI workflows across multiple tiers of data
  • Build tooling and frameworks to monitor internal and external data stacks across programming, marketing, sales, and product
  • Create topical research decks for sales support, including information on consumer trends in online video, mobile advertising, connected devices, advertising products, cross platform measurement and overall media marketplace
  • Drive the collection of new data and the refinement of existing data sources
  • Leverage performance data to determine greenlight models and content acquisition strategies
  • Work with engineering teams and 3rd parties to implement experimental design around content recommendation, audience targeting, and audience acquisition
  • Build inferential/visual systems that leverage and integrate with Crackle’s various data infrastructures
  • 2+ years experience doing quantitative analysis in entertainment, finance, ad sales or technology industries
  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred
  • The ability to communicate the results of analyses in a clear and effective manner
  • Preferred experience with a statistical package such as R, JPM, SPSS, SAS, Stata, MatLab etc
  • Perform studies to gain deeper understanding of how people consume streaming video
  • Ability to translate data into insights for use in sales support materials (Simmons, comScore, Stradegy or similar)
  • Comfort with web analytics, including exposure to Omniture Site Catalyst and Discover
  • Advanced Excel understanding (vlookup, macros, VBA..etc.) required
  • A passion for deeper understanding of people and how they interact with the world through digital means
14

Analyst, Business Intelligence Resume Examples & Samples

  • Analysis on how sales activities, advisor trends, and marketplace events impact results. The focus of the output should be to provide an understanding of ‘why’ sales trends are occurring at LPL and to influence sales tactics and strategy
  • Ability to structure and develop recommendations to solve complex problems leveraging advanced analytics (data mining, data visualization and predictive modeling)
  • Collaborate and build effective relationships with business partners across the company
  • Ability to contribute to and/or manage multiple projects at once in a fast-paced environment
  • Bachelor's degree in Decision Information Science, Finance, Economics, Marketing, or a related discipline is required
  • 2-3 years of related work experience in analytics or business intelligence
  • A minimum of 1 year in an analytical function is required
  • Experience in statistical analysis tools, such as R (preferred) Minitab, SAS, or SPSS
  • Proficient in Microsoft Office product suite (Excel, Word, PowerPoint), including an ability to visually convey information and insights through graphs, charts, and other means
  • Problem solving skills that enable efficient identification of issues, development of hypotheses, and the execution of robust quantitative analyses to answer business questions
  • Action oriented, willing to take the initiative, and a desire to roll-up sleeves and dig into the depths of the business
15

Analyst, Business Intelligence Resume Examples & Samples

  • Undergraduate or graduate degree in a technical discipline (Computer Science, Engineering, Physics, Statistics, etc)
  • Exceptional programming skills with experience in multiple languages such as Python, Java, R, and SQL
  • Experience with iterative, exploratory data analysis where scalability is of essence
  • Experience developing highly-efficient routines to manage, process, aggregate, analyze, and extract data
  • Experience working with Hadoop, Tableau, and Web development are all highly beneficial
  • Must have time management and project/work planning skills
16

Analyst, Business Intelligence & Analysis Resume Examples & Samples

  • Supporting the Business Intelligence Manager and other department heads in all reporting needs and analysis requests
  • Developing and updating dashboards and new reports/reporting tools
  • Performing ad hoc analysis to support business needs
  • Gaining an exhaustive understanding of the TSL business model and identifying areas of improvement
  • Becoming the most knowledgeable person about TSL data; regularly QA’ing data
  • Working closely with the TSL Marketing team to drive optimization by compiling data on campaign performance, website analytics, website goals/conversions, app analytics, conversion funnel analysis, ROI
  • Working closely with the TSL Product team to drive engagement by compiling data on app performance, website analytics, website goals/conversions, app analytics
  • Supporting the executive leadership team through tracking of KPIs, frequently providing reports and metrics sheets, dashboards, etc
  • Suggesting requirements for product development based on analysis
  • Have 1-2 years of relevant experience in business intelligence or analytics; previous internship or professional experience in start-up, subscription business, digital marketing preferred
  • Have a bachelor's degree; Science, Technology, Engineering, or Mathematics (STEM) discipline preferred
  • Love dealing with big data, databases, and has excellent knowledge of intermediate/advanced SQL (Please provide a sample query if available.)
  • Be an expert in all things Microsoft Excel (pivot tables, vlookup, macros, ODBC connections)
  • Have a familiarity with programs like R, SQL, MySQL, Python, or similar
  • Have familiarity with systems like Google Analytics, Omniture, Localytics, etc
  • Be experienced in the use of data visualization tools like Tableau, Domo, QlikView, Chart.io (Please provide a sample of your work if available.)
  • Be an excellent communicator and love a vibrant teamwork environment
  • Be able to set and meet deadlines; manage projects and people efficiently
  • Highly motivated self-starter able to move quickly in a rapidly changing environment who works well independently or in a group setting
17

Developer Analyst / Business Intelligence Resume Examples & Samples

  • Participate in defining and prioritizing business needs
  • Participate in selecting appropriate solutions, data sources, and techniques to integrate, leverage, and support Orvis business intelligence efforts
  • Develop and enhance corporate reporting
  • Manage migration plans, vendor relationships, and problems resolution where necessary
  • Analyze and recommend technical, procedural and operational changes which provide enhanced capabilities for the organization
  • Pull large sets of customer data from our customer database; audit the quality of this data against other sources of data
  • Support team projects, like customer lifetime value calculations and developing forecasts
  • Liaison with our marketing database provider to ensure data is being processed correctly, data feeds contain all necessary information, and manage any changes or updates to the current database to support the growing business
  • Model and develop databases and data structures to satisfy business processes and technical requirements
  • Solve complex requirements using expert-level SQL techniques such as window functions, CTEs, CROSS APPLY statements, etc
  • Incorporate appropriate tools, technologies, techniques and design patterns to create maintainable, scalable, high-performance database solutions
  • Use T-SQL and SQL Server Integration Services to develop enterprise-level ETL processes that include process logging, data validation and data integrity checks
  • Design, implement and maintain code in development, test and production environments. Design solutions to support systematic promotion between environments
  • Perform work of high difficulty in writing, modifying, tuning and debugging database indexes, queries, stored procedures, views, user-defined functions and other database entities
  • Perform SQL Server administration activities including backup, restore, DBCC commands and indexing
  • Automate complex processes with SQL Agent jobs
  • Design, develop and troubleshoot permissions schemas using advanced security concepts such as proxies and impersonation
  • Identify complex data patterns and inconsistencies through data analysis and data mining
  • Collaborate with project managers and business analysts to develop solutions that meet client business requirements
  • Take ownership of technical initiatives and drive them to completion
  • Learn, use, and maintain an established set of tools and technologies, as necessary
  • Follow project specifications and corporate coding standards and policies
  • Provide mentoring and coaching for junior and mid-level developers
  • Lead and facilitate training, including informal internal training and new employee training
  • Manage code in a source control system
  • Stay current with Microsoft SQL Server tools and technologies
  • Assist with code reviews
  • Perform other job-related duties and responsibilities that may be assigned from time to time
  • Demonstrated propensity for results
  • Ability to challenge Orvis internal processes (IT and Business) and articulate the value of proposed changes
  • 3 – 5 years supporting Business Intelligence and/or Marketing Solutions
18

Analyst, Business Intelligence Resume Examples & Samples

  • Aggregates data from multiple data sources to provide a complete picture of market and customer opportunity
  • Develops algorithms to score and prioritize marketing, sales, and market development opportunities
  • Provides qualified targeting data to sales and marketing
  • Develops data and tools strategy and vision
  • Performs all aspects of business analysis and data exploitation. Extracts signals and signatures from raw data, integrates that information with other data sources and compiles into actionable intelligence
  • Recommends improvements to competitive business intelligence sources and interpretation of data by sales, business development, product, and executive committees
  • Plans and executes system testing. Requires knowledge of the customer's mission and technology used to accomplish a given task
19

Analyst, Business Intelligence Resume Examples & Samples

  • Plans and executes multiple projects involving all aspects of business intelligence solutions and data, including business intelligence analysis and data exploitation
  • Customizes business intelligence report contents and views using Excel, Access, and other tools to meet the requirements of internal business customers
  • Works cross-functionally to implement key projects. Interfaces with other departments to leverage data for their respective business needs
  • Assists in the development and implementation of business intelligence tools and analysis to meet current reporting needs and future enhancements. Ensures data integrity for reporting, including identifying and reconciling all discrepancies
  • Conducts independent research to provide creative solutions in development and improvement of standardized reports and dashboards as necessary
  • Consolidates data reports and delivers to help drive data-based strategic decision making. Provides analysis prior to and following any recommended changes
  • Provides analytical support, works with cross-functional teams to identify reporting and analysis needs which helps enhancing business decision making capabilities in every level of the business
  • Able to create actionable insight and understanding, through the analysis of both quantitative and qualitative data, able to identify conflicts with the strategy and builds recommendations that directly address business objectives
  • Attends meetings with Management to interpret their needs, to identify possible solutions, able to provide feedback on effectiveness of existing business/sales plans, able to discuss progress and results
  • Conducts full analysis about inventory monetization, pricing, rate accuracy and consistency, Value Based Selling Strategy, Sports and Special Programming, prepares dashboards, score cards, pacing summaries that meet business intelligence needs of the organization by identifying risks and opportunities
  • Develops and runs traffic inventory and capacity models. Assists in the analysis of inventory and rate practices to develop optimum revenue opportunities. This would include the execution of rate adjustments and allocation changes as needed
  • Provides current information on available traffic inventory to assist sales pricing, packaging and sales programs development. Assists and contributes to the overall coordination for the flow of information and communication between sales, sales support and traffic/inventory departments on Sports and Special Programming
  • Creates metrics for measuring impact of both rate and inventory adjustments. Distributes rate information as needed
  • Provides Management with requested ad hoc reports and analysis, works on special projects as assigned
  • Proficiency in both SQL and Excel preferred
  • Experience with BI tools such as Microstrategy preferred
20

Analyst, Business Intelligence Resume Examples & Samples

  • Exercise leading edge skills working with large data volumes using Big Data skills to predict predictive customer behavior, text mining, forecasting, segmentation and other data mining techniques
  • Working with and presenting to all management levels (CP2 to EVP)
  • Take part in defining the overall data integration architecture with a focus on Big Data (e.g. Hadoop, Cloudera, Pig, Hive, HBase, Mahout, etc)
  • Implement an end-to-end cross-channel analytical process to improve customer experience and gain operational efficiency
21

Principal Analyst, Business Intelligence Resume Examples & Samples

  • Manages and leads the digital analysis and recommendations across several key digital product and strategic initiatives. This includes defining scope, recommending approach, and managing the execution of BI projects
  • Serves as a subject matter expert in aspects of the digital product suite, and provides recommendations to improve performance and monetization; building and managing predictive models as needed
  • Develops and maintains effective relationships with internal product and business teams, in order to track trends and metrics and recommend adjustments to products, services and techniques based on findings and insights across multiple digital product initiatives
  • Manages the analytical requirements for content and major projects for corporate digital assets
  • Serves as a mentor for the analysts on the team educating, coaching and working with them to grow into a productive and effective organization member, while ensuring the BI team business goals and objectives are met and that team is responsive to changing business needs
  • Collaborate with end users and stakeholders to identify needs and opportunities for improved reporting and analysis
  • Provide requirements into Data Strategy development and data systems management
  • Specify the analytical and business requirements for the use of Analytical data sources used across the digital properties, and when needed, manage the external vendor relationships in support of this
  • Manage and leverage large and complex data sets
  • 4 Bachelor’s degree in one of the following: business, economics, data analytics, marketing, statistics, research or finance -7+ years of experience in the Business Analytics/Analysis discipline
  • Prior experience managing business or research analysts a plus
  • Knowledge and experience in collecting data from various data sources and validating, combining, structuring, storing, distributing, analyzing and reporting data and trends
  • Ability to lead projects and project teams
  • Ability to build effective working relationships at all levels of an organization
  • Practical ability to translate data points into trends and insights that are meaningful for stakeholders and executive management in meeting their goals, and measuring the performance of their products/business
  • Experience handling large amounts of consumer data and working with data mining and reporting tools
  • Experience in acting as a company liaison for key vendor relationships
  • Excellent communication and presentation skills with the ability to present and translate complex information to executive and business teams in relevant business terms
  • Excellent time management / project management skills, with ability to manage detail work and communicate project status effectively to all levels
  • Strong problem solving and logical thinking skills
  • Leader and individual contributor
22

Systems Analyst Business Intelligence Resume Examples & Samples

  • Analyse patterns for re-occurring production issues & identify root cause. Drive solutions to control incoming cases and coordinate with Problem Managers for proactive incident management
  • Troubleshoot and analyze the supported applications to ensure operational excellence including, but not limited to production issues, defect tracking, and enhancements
  • Demonstrates command of multiple programming languages, basic systems analysis techniques, testing, debugging, documentation standards, file design, storage, and interfacing
  • Work closely with other application support analysts, application owners, and the rest of the GAMS team for application on-boarding, retirements, enhancements, security reviews, and upgrades
  • Utilize GAMS tools and processes including Service Now, Daptiv, as well as any new and enhanced tools and processes. Ensure the attainment and adherence of all SLA’s
  • Interface with clients and technical teams on a regular basis to review issues & proactively manage priorities to deliver to the Service Level Agreements
  • Maintains peer relationships across IT areas (infrastructure, operations, COE,etc) to support effective implementations
  • Degree in Information Systems, Computer Science or related technical discipline or equivalent
  • Full system development life cycle hands-on experience: analysis, designing, coding, testing, performance tuning and documentation
  • Must have: SQL, Linux experience
  • Analytical, creative and business focused problem solver
23

Analyst, Business Intelligence Resume Examples & Samples

  • Manage incoming analytics and reporting requests and engage stakeholders to understand the underlying business problem, base assumptions and desired outcomes
  • Manage creation of targeted marketing lists for all sales tactics used by the small business team (direct mail, telemarketing, door to door etc.)
  • Qualify requirements as ad hoc or recurring performance indicators and build solution accordingly
  • Act as steward for standards around data model, data dictionary and implementation of business rules and definitions
24

Analyst, Business Intelligence Resume Examples & Samples

  • Understand and identify new revenue growth opportunities, unseen value, and insights from business user requests or from self-identified analytics
  • Support the timely and effective presentation of analytics to business users and/or senior business management
  • Support the complete usage and/or execution of the delivered analytics
  • Work in a high-performing team to identify new revenue opportunities and extract interesting insights (patterns, correlations, etc.) from large data sets using dashboards, visualizations, and complex reporting solutions utilizing SAP Business Objects, Tableau, R, Python, or other tools
  • Ongoing collaboration with various business units (Product Marketing, Sales, Digital Marketing, Business Development) to support advanced analytics needs and to execute BI recommendations
  • Support the effective usage of BI for existing business operations and the development of new business areas and opportunities
  • Identify new advanced analytic opportunities and new data sources for further evaluation
  • Proactively determine best methods to gather new and existing data to solve complex problems
  • Build and expand knowledge of BI through training and collaborating with other BI Users and Leaders
  • Partner with Business Analysts to compile requirements for BI Solution expansion and support user acceptance testing
  • Bachelor’s degree required. Master’s Degree is a plus
  • Minimum of 3 years in Business Intelligence and/or Business Analytics
  • Minimum of 2 years of experience with SQL
  • Minimum of 1 year of experience with R, Python, and a data visualization tool (e.g., SAP Business Objects or Tableau)
  • Strong skills in problem solving with a passion for data and a curiosity to find the story
  • Demonstrated ability to manipulate large data sets from multiple sources
  • Ability to work independently, ensure business objectives are met, and able to drive tasks to completion
  • Strong working knowledge of Microsoft Excel, and building an accurate, clean presentation story and final deliverable with PowerPoint
25

Lead Analyst, Business Intelligence Resume Examples & Samples

  • Reporting will include, but is not limited to: design queries and reports using SAP tools and MS Office software. Partner with internal customers to understand their metrics reporting requirements and deliver an effective and actionable solution. Work with the Business Intelligence (BI) team to convert high value reports to Business Warehouse standard reports
  • Ability to work independently to provide technical expertise in identifying, evaluating, and developing effective reporting/analysis that meets the customer requirements
  • Successfully engage in multiple initiative simultaneously
  • A Bachelor’s Degree in Information Technology or related field and work experience with database queries
  • Strong background in database technology, with an emphasis on the use of analytical and reporting tools
  • A broad, practical, demonstrated hands-on knowledge of key applications to include: MS Office applications (Access, Excel, Word, Visio, and PowerPoint)
26

Analyst, Business Intelligence Resume Examples & Samples

  • Translate business requests/requirements into reporting solutions that enable fact-based decision making, ad-hoc analysis and insight generation
  • Ensure data integrity by investigating anomalies in reported numbers from a variety of sources throughout the organization (this includes working with IT to understand any system issues or changes as well as investigating templates and adjustments)
  • Contribute to the development of improved processes by means of statistical analyses and appropriate recommendations
  • Management and maintenance of the entire BRS agent hierarchy for official ‘by channel’ reporting
  • Provide expert data retrieval support for subscriber reporting (this includes understanding the business requirements, intended audiences, as well as providing guidance and knowledge of the data elements)
  • University Bachelor’s or Masters Degree in areas such as: Business Analytics, Mathematics, Engineering, Computer science, or equivalent work experience (5 years)
  • Advanced technical skills in writing complex SQL statements, procedures and functions in TERADATA
  • Strong mathematical and statistical skills
  • 3-5 years of analytical and problem solving experience with attention to detail
  • Strong organizational and time management skills to meet deadlines & handle changing priorities
  • Advanced knowledge of Microsoft Office and Tools
  • Experienced with Grand Maison (GM) project which includes investigation and validation of GM residential data
  • Advanced knowledge of SAS
  • Knowledge of Bell Canada’s Residential Products and sales channels
  • Experience in developing fully automated reports
  • Demonstrated technical skills in Cognos and MicroStrategy considered an asset
27

Analyst, Business Intelligence Resume Examples & Samples

  • Leverage OMD and client resources to enhance and support strategic planning and buying decisions
  • Identify opportunities to use fact-based tools to guide media strategy
  • Provide analytical support to media specialists assigned to client's business
  • Work effectively and independently with client teams, clients, and other OMG disciplines with guidance from senior team members
  • Support senior team members in the analysis needed for ad hoc planning questions
  • Contribute to development of OMG proprietary tools and resources
  • Bachelors or advanced degree required
  • 1-2 years of experience at a media agency or marketing analytics firm
  • Proficiency in analytical software - SPSS, SAS, etc
  • Knowledge and experience with syndicated research sources/tools: Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore
  • Aptitude to prioritize multiple tasks effectively, manage stress and solve problems with hard work and a dedication to ensure their completion and relentless pursuit of excellence
28

Analyst Business Intelligence Resume Examples & Samples

  • Create predictive algorithms, models and a recommendation engine to optimize the repair experience a customer goes through during a technical / service issue
  • Combine network diagnostic data, performance information, technical specifications and customer demographics to predict which customers will be calling us for a repair issue, what the problem is, and recommended solution
  • Perform ad hoc data analysis as well as deep dives to find value and insights
  • Topics will range from operations management and call centre optimization to customer behaviour and product performance
  • Build easy to use dashboards and stunning visualizations so our front line workers can take advantage of the insights you are creating in real time
  • Present complex analysis clearly to senior executives
  • Bachelors and/or Masters Degree in Engineering, Math, Statistics, Computer Science, Economics, Management Science, Business or other quantitative field
  • Humble and curious to learn more
  • Driven and motivated to make things happen
  • Interest in technology - we love to hear about apps, websites, programming, home networking, or other tech hobbies you may have
  • Enjoy solving problems and great attention to detail
  • Excel and PowerPoint fluency
  • Know SQL like the back of your hand
  • Be a wizard in SAS EG and/or SAS Enterprise Miner
  • Know scripting languages that can be used for statistical models (R or Python)
  • Familiarity with other BI software such as MicroStrategy, Tableau, MS SQL Server, Teradata, etc
  • Knowledge of telecom technologies (DSL, IPTV, FTTH, VoIP, LTE, 5Ghz WiFi 802.11ac, etc.)
29

Analyst, Business Intelligence Resume Examples & Samples

  • Understand and synthesize complex client / partner data into executive summaries and understand the financial metrics of a business decision
  • Possess good understanding of assigned clients’/prospects’/partners’ overall business strategy and needs in the retirement (income and risk management), investment, annuity and insurance areas
  • Efficiently navigate the Prudential organization to assemble and summarize internal information
  • Very strong project management skills, oral and written communication skills
  • Ability to interact efficiently with professionals at all levels and functions, including senior management and business sales professionals
  • Advanced skills in Excel, Word and PowerPoint required
30

Analyst, Business Intelligence Resume Examples & Samples

  • Bachelor’s degree with emphasis in Data Science, Data Analytics, Finance, Accounting, Economics, Mathematics and/or Engineering
  • Problem solving skills necessary to independently execute each phase of a standard development life cycle, including information gathering through oral and written communication, and methodological design
  • Detail and quality oriented, strong self-testing skills
  • Designing reports to present meaningful information that is easy to understand by users
  • Possess strong knowledge of data query language, data definition and data manipulation
  • Ability to learn quickly and translate data into clear and actionable results, and strong organizational skills
  • Analyzing current processes and building new processes
  • Ability to multitask and adapt to multiple environments
  • Enthusiasm for making a positive impact to the company
  • Must pass background check and five (5) year pre-employment drug screen
31

Analyst, Business Intelligence Resume Examples & Samples

  • Bachelors degree in Business, Finance, Accounting or related field
  • Advanced level of Excel skills including pivots and vlookups. MS Access a plus
  • Experience with BI tools (e.g. Cognos) a plus
  • Strong interpersonal skills and the ability to work effectively across cross-functional teams
  • Have a highly curious intellect and an entrepreneurial mindset that drives progress
  • Passion for numbers and data
  • Strong internal customer service skills
32

Analyst, Business Intelligence Resume Examples & Samples

  • Create analytics reports to provide valuable, relevant business insights for clients
  • Write ad-hoc T-SQL of a complex nature to support reporting needs
  • Create indexes, tables, columns, and stored procedures as needed in our database environment
  • Work with in-house and industry standard database tools to develop dashboard and reports
  • 2-5 years experience with SQL Server 2008+ or Vertica 7+
  • 2-5 years writing T-SQL of a complex nature
  • Experience working with large datasets (100,000,000 - 4,000,000,000 row range)
  • Provide customer service to new and existing clients
  • Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies
  • Implement and work with Microsoft Business Intelligence tools (SQL and Excel) and dashboard reports
  • 2-5 years of experience in with data mining and quantitative analysis 2+ year experience with C# .NET or equivalent Object-Oriented language
  • 3+ years of experience writing complex SQL against large relational database systems, preferably
  • Microsoft SQL Server 2008 or above
  • Expert skills with Microsoft Excel; ability to create pivot tables, charts, and graphs; formatting documents, formatting cells, entering and modifying complex formulas, creating and modifying basic charts and graphs, and creating and modifying Pivot Tables
  • Ability to develop efficient and self- documenting solutions
  • Experience in consumer packaged goods industry a plus
  • Flexible and adaptable, able to change and alter according to changes in projects or business environment
33

Lead Analyst, Business Intelligence Resume Examples & Samples

  • Solution Architecture – Contributes to the development of systems architectures in specific business or functional areas, including creating logical models of components and interface. Creates detailed component specifications and translates these into detailed designs for implementation using selected products. Within a business change program, contributes to the preparation of technical plans and works with business assurance and project staff so that the appropriate technical resources are made available. Reviews technical aspects of system development and integration (including requests for changes, deviations from specifications, etc.) and investigates relevant technical strategies, policies, standards and practices (including security) to determine if they are applied correctly
  • Requirements definition and management -Leads scoping and business priority-setting for change initiatives. Evaluates and selects the most appropriate means of representing business requirements in the context of a specific change initiative, ensuring traceability back to source. Ensures formal agreement by stakeholders on scope and requirements. Manages requests for and the application of changes to base-lined requirements. Identifies the impact on business requirements of interim scenarios as well as the required end position
  • Configuration Management - Maintains secure configuration. Applies tools, techniques and processes to track, log, report on and correct configuration items, components and changes related to configuration items
  • Incident Management- Manages the prioritization and diagnosis of incidents according to agreed procedures. Investigates causes of incidents and seeks resolution. Manages the escalation of unresolved incidents. Coordinates recovery, following resolution of incidents. Manages the documentation and closure of resolved incidents according to agreed procedures
  • Data Analysis- Creates standards for data analysis tools and techniques, advises on their application, and ensures compliance. Reviews and investigates corporate data requirements, and undertakes data analysis, data modelling and quality assurance techniques, to establish, modify or maintain data structures and their associated components
  • Development Testing - Coordinates and manages planning of the system and/or acceptance tests, including software security testing, within a development or integration project or program. Develops project testing standards for all phases of a project, influencing all those involved to conform to those standards
  • Relationship Management- Reviews the communications needs of each stakeholder group in conjunction with business owners and subject matter experts. Translates communications / stakeholder engagement strategies into specific tasks. Contributes to the development and enhancement of customer and stakeholder relationships
  • Analytics- Maintains appropriate analytical techniques to create information which supports business decision-making
  • Continously enhancing and documenting BI Designs and Standards based on new learnings, new capabilities and functionality that is used by the different ULTA business units
  • Assist partner IT teams to be able to deliver analytical needs in a timely and accurate manner, while still adhering to the ULTA BI standards
  • Guide the end users within deployments to do more self service analytics within the BI eco-system to meet their analytical needs
  • Initiate/Champion the design and development of BI courses that can be reusable across deployments and for new technologies or solutions and have an efficient delivery mechinism
  • Investigate, define and setup for the deployment of new capabilities in Business Intelligence, which includes extending the BusinessObjects BI platform, HANA, BI Self-Service and introducing new or extending existing functional areas
  • Support the other IT team’s planned new capabilities that need the Business Intelligence platform as an enabler
34

Analyst, Business Intelligence Unit Resume Examples & Samples

  • Helping to promote and expand a Business Intelligence service in relevant regions by providing timely and accurate reporting and advice, including client enhanced due diligence (EDD), specific sector reviews and ad-hoc macro-economic trend analysis
  • Acting as a key point of accountability for research into reputational risk, including criminal, political and security risks, associated with the Bank's dealings in relevant regions
  • Providing administrative and linguistic support to the Europe, Middle East, Africa (EMEA) Head of Business Intelligence Unit
  • Identifying, establishing and maintaining a database of accessible and reliable Business Intelligence (BI) resources
  • Discharging all associated administrative BI functions
  • Responding to all requests for research and reporting in a timely and accurate manner
  • Producing demonstrably well-researched reports, including clear indications of sources used by means of detailed attribution
  • Providing comprehensive review of local language sources by continual assessment, evaluating new sources
  • Assisting in the provision of periodic management information (MI) as required for relevant region
  • Previous experience with AML or EDD reviews and analysis, preferably within an Investment Banking environment
  • Strong regional expertise and focus, preferably with professional experience in relevant regions (EMEA) together with language skills
  • A sound understanding of key regional political and socio-economic issues
  • General knowledge of global AML regulations
  • Familiarity with a wide range of external data sources and third party systems to be covered as a part of the due diligence process
  • Robust, credible and organisationally / politically savvy, with an ability to grasp complex issues quickly
35

Analyst, Business Intelligence Resume Examples & Samples

  • Assist with the effective gathering of information and analysis
  • Perform in-depth analysis as and when required to identify opportunities within the business
  • Deliver effective regular reporting to stakeholders so decisions can be made quickly based on accurate information
  • Manage internal and external systems resources for efficient and accurate data collection
  • Identify, manage and coordinate with external information providers to gain insights into our competitive environment and markets
  • Support the daily business requirements of both business analytics and sales performance
  • Assist with analytical projects to support global and regional initiatives
  • Plan effectively within the Sales and Revenue Management function and integrates with Marketing, eCommerce and Distribution plans
  • Assist with the completion of activities within key initiatives to ensure aims and objectives are achieved
  • Assist team in data collations which will identify opportunities and risks within specific market
  • Manage activities in the area of Business Analysis and ensure activities contribute to the overall success of the function
  • Develop and maintain information systems to provide accurate, relevant and up to date information
  • Deliver effective business analysis and intelligence to the Executive Team, Area, Regions and Hotels to develop understanding of business trends and develop appropriate initiatives
  • Implement and monitor the necessary business processes that deliver useful, accurate and relevant information for analysis
  • Implement analytical processes to monitor pricing and determine changes to drive performance
  • Track impact of activities and communicates with the sales, marketing, e-commerce, distribution teams to drive future activity
  • Establish, enhance and maintain productive, quality working relationships with internal and external customers
  • Liaise with global colleagues to understand requirements and business needs from the revenue/business analysis function as well as to ensure best practice sharing
  • Attend and contribute to meetings to deliver information and trends that will support future plans and strategies
  • Bachelor's degree in Finance, Business or Statistics
  • At least 2 years practical working experience within process driven or analytical function
  • Analytical and creative ability to understand, articulate and create a business relation for unique and profitable initiatives, and identify significant trends
  • Sound knowledge of job related information technology
  • Commercial attitude and proactive attitude
  • Self-motivated and possesses interpersonal skills to influence, motivate and energize
  • Ability to introduce change effectively
36

Analyst, Business Intelligence Resume Examples & Samples

  • Build creative processes, methodologies and frameworks for solving business problems to grow global business emerging portfolios and opportunities
  • Define and develop requirements for reporting and deep dive analyses to all levels within the management structure
  • Research, analyze, and explain key business trends of several emerging portfolios
  • Present and support findings and recommendations to various management levels within the organization
  • Manage projects and build effective partnerships with our Offshore teams
  • Oversee the continued development of the analytic capabilities within the Network, including identifying opportunities to improve processes and streamline activities
  • Promote a risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to required standards and processes. #LI-BP1
  • Bachelor’s degree in a quantitative discipline
  • 2 years of work experience in analytics and/or consulting
  • Hands-on experience in SAS and SQL
  • Experience working in data mining and modeling teams
  • Experience conceptualizing and building creative analytic solutions to complex problems
  • Experience presenting complex analytical concepts to a non-technical audience
  • Ability to deliver executive presentations and reporting
37

Analyst, Business Intelligence Resume Examples & Samples

  • Advanced Data Extraction Skills
  • Strong Sense of Data Visualization with software such as Tableau
  • Business Acumen and Analytic Curiosity
  • Drive Advanced Analytics deep into the organization
  • Acts collaboratively and decisively with a 'OneSpotlight' mindset
  • Use consistent applications and interpretations of new data and metrics
  • Analyzing data with the goal of informing decision makers. Subject areas can cover a wide range of our business including finance, sales, marketing, field operations, research, marketing, etc
  • Perform business intelligence analysis and data exploration. Extracts raw data, integrates that information with other data sources and compiles/disseminates formatted reports to customers
  • Must be able to work nights and weekends, variable schedule(s) if necessary
38

Lead Analyst, Business Intelligence Resume Examples & Samples

  • Manage multiple Business Intelligence projects throughout the project life cycle, including functional requirements, design, implementation, support, and integration with key business systems across the enterprise. Initiate, facilitate and refine business sponsor requirements. Employ robust project management tools and approaches to ensure effective project management and stakeholder communication
  • Identify and present actionable opportunities for BI solutions, which provide distinctive organizational capabilities, bottom-line impact, and competitive advantage. Design and implement continuous improvement programs based on business needs and priorities
  • Develop and manage assigned cost, schedule and performance criteria, including the specification of Business Intelligence system solutions, risk/benefit analysis, project proposals, and scope management
  • Maintain the effective ongoing design, integrity, quality, and performance of the BI platform while ensuring functional and technical stability and sustainability. Support integration of BI with source and target application systems such as SAP ECC6 and BPC. Provide direction and expertise that maintains currency of BI products per SAP's roadmap. Build, report and monitor applicable Key Process Indicators (KPIs) for current and projected business requirements
  • Provide ongoing education and skill building to the internal client base
  • Provide leadership and direction to assigned staff or consultants, including coordination of all IT services required for an effective platform
  • MS SQLServer
  • Experience within a manufacturing organization, including analytics and KPI's (margin mgt, cash flow, sales, profitability, raw materials, sourcing, distribution, etc.)
39

Analyst, Business Intelligence Resume Examples & Samples

  • Work with MAS Owners and end users to identify and develop reports necessary to support Marketing. Examines and evaluates purpose and content of business reports to develop new, or improve existing format
  • Develop automated reports and dashboards to support business decision making
  • Ensure timely and accurate creation of reports to support business needs
  • Work through all phases of the report development life cycle, including analysis, design, implementation, testing, deployment, and maintenance
  • Partner with Macy’s Systems & Technology (MST) to investigate, analyze and address reported defects in a timely manner. Solutions to these problems can include object updates, code changes, or configuration modifications
  • Serve as a liaison between Marketing/macys.com and MST, ensuring the best technical solutions are developed for Marketing and macys.com
  • Lead reporting on special projects as needed
  • Bachelor’s degree in related field; MBA a plus and/or 3-5 years’ experience in retail marketing/advertising areas
  • Advance skill set in both MS Excel, MS Access and familiarity with Lotus Notes
  • Experience building reports in Business Objects and/or Sharepoint Reporting
  • Experience with B.I. Software (e.g. QlikView, SSIS/SSRS, Tableau, Cognos, etc)
  • Experience with developing Dashboard
  • Strong analytical and organizational Skills
  • Attention to precise details and accuracy
  • Ability to work effectively in a fast padded, deadline driven, highly dynamic atmosphere and react quickly to changes and shifting priorities
40

Analyst Business Intelligence Resume Examples & Samples

  • Drive data-warehouse, banking and retrieval system with the use of SQL
  • Drive complex analytics, root cause analysis, quantitative modeling to consider various alternatives and support corrective labor management strategies
  • Utilize appropriate predictive modeling techniques to develop new Time Series – Predictive Models and improve forecasting accuracy of Predictive Models in a production environment. Modify and enhance automated IBM SPSS Modeler Streams and Python code
  • Compile client data by applying Avantas’ proprietary HELM methodology to achieve client return-on-investment
  • Build highly flexible and repeatable data transformation processes to deliver findings to client audience
  • Coach and mentor clients and colleagues on successful use of business intelligence
  • Contribute to client outcomes, success stories and opportunities to drive marketing efforts
  • Drive individual professional growth using learner, customer-centric and focus / motivation attributes to advance expertise, create Raving Fans and achieve line of sight goals
  • One to three years of SQL and Database Management experience
  • One to three years of reporting and Visualization experience
  • Predictive Modeling experience, including Time Series modeling
  • One to three years experience programing in any language; Python preferred
  • Previous SPSS Modeler, SPSS Statistics, and R experience
  • Advanced Statistical skills including Linear Regression, Logistic regression, Cluster Analysis, Factor Analysis, etc
41

Analyst, Business Intelligence Resume Examples & Samples

  • Define the requirements of internal client requests in order to determine the steps and effort needed to support their request
  • Explore data sources of information in order to meet the requirements
  • Design and build the dataset needed to deliver the request in accordance with our modular approach and self-serve strategy
  • Design and build the visualization using tools such as Tableau to render the information to enable the client to answer their business questions
  • Develop using programming standards and build appropriate documentation
  • You have a Bachelor’s degree, and 3 yrs+ work experience in a discipline such as
  • Applied math
  • Applied science / engineering
  • Computer science
  • Economics/econometrics
  • Management science / operations research
  • You are analytical and understand the basic principles of working with large and complex data sets
  • You have the ability to leverage insights from data and metrics to make recommendations
  • You have knowledge of, and preferably experience with, visualization tools
  • You are a self starter who is comfortable working with and presenting to all management levels (up to Executive VP)