Lead Data Analyst Resume Samples
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Lead Data Analyst Resume Samples
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WM
W Muller
Wellington
Muller
378 Mathilde Forges
Chicago
IL
+1 (555) 950 7802
378 Mathilde Forges
Chicago
IL
Phone
p
+1 (555) 950 7802
Experience
Experience
Houston, TX
Lead Data Analyst
Houston, TX
VonRueden, Metz and Fahey
Houston, TX
Lead Data Analyst
- Create and execute innovative strategies to enhance portfolio performance, in line with the TDX test & learn framework
- Creates models, monitors results, and develops and executes hypotheses for improving models
- Develop analysis to identify opportunities of product improvement and create general success metrics based upon the defined business objectives
- Provide analytical insight and recommendations to the Agency Management and Client Relationship teams to optimize portfolio performance
- Assist in the development and deployment of the Industrial Sector’s data analytics strategy and program which is focused on
- Perform and facilitate data warehouse analysis and may perform dimensional data warehouse design and modeling
- Providing escalation management of key clients and stakeholders
Boston, MA
Lead, Data Analyst
Boston, MA
Cronin-Barrows
Boston, MA
Lead, Data Analyst
- Develop standard procedures to manage data and automate analytics
- Mine aviation vast data to develop new insights for growth, performance and products
- Utilize existing analytics tools to produce analytics for customers and develop sales tools to help customer immediately see value
- Evangelizing products and strategies and offerings to management and customers
- Problem solving complex issues and developing innovative approaches to addressing business challenges
- Create in-house applications and solutions leveraging APIs from external data and internal data sources
- Documenting business processes and developing analysis and analytics to support optimization of these activities
present
Chicago, IL
Senior Lead Data Analyst
Chicago, IL
Rippin and Sons
present
Chicago, IL
Senior Lead Data Analyst
present
- Work closely within a team structure and develop the abilities of others
- Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc
- Strongly influence business decisions by developing and institutionalizing a data-driven analytics
- Perform research and analysis on large data solutions; data exploration, Data Visualization trending, correlation modeling
- Provide high-quality data analysis and analytical solutions that support business objectives
- Identify emergent technology trends and opportunities for future growth and development
- Be aware of data sources within and without the company that could be used to complement current and future projects
Education
Education
Bachelor’s Degree in Related Field
Bachelor’s Degree in Related Field
University of Cincinnati
Bachelor’s Degree in Related Field
Skills
Skills
- Good analytical and problem solving skills, with strong attention to detail
- The ability to prioritise and negotiate key deliverables
- Comfortable coordinating the efforts of others to tackle issues that may reside outside the scope of the candidate's own personal knowledge
- Strong communications skills (spoken and written) and the ability to effectively communicate design recommendations to a varied audience
- Strong ability in applying financial, statistical, and economic research methods to answer business questions
- Strong analytical skills and in-depth knowledge of health care industry are essential
- Exceptional numeracy, analytical rigor and attention to detail
- A strong background and experience of leading complex data analysis activities
- Problem solving and analysis; understanding of complex issues and problems and ability to form pragmatic solutions
- Self motivation; possessing a natural ability to take initiative and progress projects with minimal support
15 Lead Data Analyst resume templates
Read our complete resume writing guides
1
Lead Data Analyst Resume Examples & Samples
- Understand the business needs, gather business requirements, and assess data requirements
- Formulate data sourcing strategy and make recommendations for process improvement areas
- Work with Data Management Operations to define various data standards including data controls, data dictionary etc
- Ability to work with technology developers in implementing the ETL, data controls and a quality portal
- Solid understanding of Quality Assurance process and work with a QA team in developing and implementing a testing strategy
- Work with Data Management Operations to report on key metrics related to data issues, data quality etc
2
Lead Data Analyst Resume Examples & Samples
- The team is responsible for the configuration, oversight, governance and control of all processes related to AML and Sanctions and acts as "Single Point of Contact"
- Proven expertise in high impact projects in AML, analytics, system development or similar
- Responsibility in driving new analytical projects across all products and customer segments across regions
- Proven ability to clearly articulate business and regulatory implications of analysis and findings both to Compliance Colleagues and Business Heads
- Knowledge of SAS, Qlickview, Spot Fire
- Understanding business requirements and ability to convert these into positive systems changes
- Ability to create and execute test plans, reviewing system and interface data
- Experience of data analysis using Structured Query Language (SQL) to analyse large datasets in an action-oriented environment
- Strong analytical skills and ability to make actionable recommendations from data
- Strong communication skills (both verbal and written) and ability to convey information in a way that is clear, succinct, and easily understood by non-analysts
- Good understanding of payment activities for a large global banking group with diverse operations specially relating to AML, Payments, Sanctions and Compliance
3
Ofsaa Lead Data Analyst Resume Examples & Samples
- Partner with end users to understand their requirements and connecting with the data provider community to meet those requirements
- Manage the change control process
- Interface with IT and data providers to manage SLAs, user issues, and other BAU functions within the OFSAA implementation
- Perform regression testing at the OFSAA platform level
- Responsible for working closely with OFSAA Data Governance, Data Quality, and Data Reconciliation teams to ensure a unified approach to providing high quality data
- Undergraduate degree in Finance, Risk, IT or Data related field - GE leadership program graduate (FMP, ITLP, OMLP, RMP); CAS a plus
- Familiarity with GE Capital, Treasury operations and regulatory matters
- Experience creating and implementing policies and procedures
- Experience with data analytics, data profiling
4
Lead Data Analyst Resume Examples & Samples
- Structured business systems analysis methods: Relational data modelling, process modelling, dimensional (star schema) modelling
- Specification and report writing
- Proficiency in SQL (Structured Query Language), sufficent to analyse data held in complex data structures and to understand stored procedures written in Transact SQL
- Asset Management industry business process knowledge
- An understanding of Project Management principles & techniques
- System, Integration and User Acceptance Testing
- Microsoft Office Suite, including Microsoft Word, Excel, Project and Visio
- Team working and leading; used to working in teams, directing the work of other analysts, displaying a flexible and constructive attitude
- Problem solving and analysis; understanding of complex issues and problems and ability to form pragmatic solutions
- Self motivation; possessing a natural ability to take initiative and progress projects with minimal support
- Communication; providing documents that are clear, precise and understandable and communicating clearly with business people, IT managers, analysts and developers
- Time management and planning; managing personal workload effectively, setting realistic and achievable targets and delivering to those targets
5
Senior Lead Data Analyst Resume Examples & Samples
- Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc
- Strongly influence business decisions by developing and institutionalizing a data-driven analytics
- Identify high-impact business problems & develop viable solutions thru data analytics & modeling
- Perform research and analysis on large data solutions; data exploration, Data Visualization trending, correlation modeling
- Determines relevant metrics for predictive analytics, leading / lagging indicators to determine risks and opportunities from a human capital perspective
- Work closely within a team structure and develop the abilities of others
- 3+ years of experience with data science and analysis
- Solid understanding of data structures and databases in structured & unstructured environments
- Works with an open mind and is curious while maintaining a healthy critical perspective
- Applies scientific techniques to validating outcomes
- Skilled at data visualization and presentation
- Able to translate outcomes into business opportunities
6
Senior Lead Data Analyst Resume Examples & Samples
- Leverage current and emerging enterprise technologies to progress RRG’s data analytics strategy to advanced stages of RRG’s maturity model. Leverages existing enterprise meta data repositories and assist in the development of RRG documentation on data sources to facilitate accessing, understanding and analyzing data
- Evaluate centralized and decentralized models and provide RRG management with supporting recommendations and implementation strategies. Collaborate with Key’s Risk Management and Technology & Operations departments to identify the most efficient means of harvesting data for analysis and reporting
- Acts as an internal consultant to various RRG teams, providing expert knowledge of company systems, processes and associated data. Establish a collaborative approach with RRG credit, market, and operational teams to identify, utilize and enhance meaningful application of DA and CAATs
- Design and evolve methods to integrate the use of DA & CAATs into risk reviews, risk universe scoring, risk indicators, annual planning, continuous monitoring, and continuous auditing. Develop the standard toolkit for data mining, DA and CAATs (i.e. SAS, ACL, SQL,etc.)
- Develop and communicate work paper documentation standards for the use of DA and CAATs. Demonstrate and market DA and CAAT capabilities, advantages and success stories to RRG management and staff
- Simultaneously lead and manage data analytic projects involving RRG Data Subject Matter Experts (SME). Possess the ability to supervise and provide guidance throughout the project life cycle from planning, testing, and review of work performed
- Stay abreast of evolving utilization, best practices, and trends in the use of DA and CAATs for internal audit, credit, operational and other risk areas within large banks. Stay informed on regulatory expectations for the use of DA and CAATs in banks. Keep RRG management apprised of trends and evaluation of RRG adoption in relation to trends and expectations
- Experience with the mainframe zOS, distributed server environments (Unix, Windows, etc.), databases (Oracle, DB2, Teradata, etc.), ETL middleware (i.e. Ab Initio, Job Command Language)
- Experience with data mining and analysis utilizing analytical software (i.e. SAS, ACL, SQL)
- Experience with business intelligence tools such as IBM Cognos, Crystal Reports softwareProven project management skills.Excellent written communication skills.Proven ability to work autonomously and in teams
- 5+ years of DA and data extraction experience with diverse and complex data structures
7
Lead Data Analyst Resume Examples & Samples
- Responsibility for “tuning” which refers to data modeling and statistical work to fine tune our Fraud transaction monitoring
- Execute analytics to find evidence of fraud across channels, products, and businesses (includes data mining, natural language processing, machine learning, statistical analysis, pattern recognition, predictive modeling, etc.)
- Participation in project-based data analytics and User Acceptance Testing (UAT)
- Show prior work performing fraud analytics with traditional analytics tools. Specifically preferred are SAS, SQL, Tableau, OBIEE, and i2
- Prior experience performing analysis of data about people
- Prior experience performing analysis of financial transactions of individuals
- Ability to quickly learn new tools or programming languages
- Knowledge of financial industry products and businesses
- Ability to produce easy-to-understand explanations and visualizations of sources, results, data bias, margin of error, etc
- Analytical thinking
- Information gathering
- Effective communications
- Managing multiple priorities
- Thrives on a busy work environment
- Works well under pressure
8
VP-lead Data Analyst Resume Examples & Samples
- Demonstrated solution development ability in a data and analytics setting. Candidate must be able to research, conceive and offer/implement solutions that are unique and different from existing or previously methods
- The ability to quickly learn and come up to speed with AML, Citi businesses, Citi architecture (including environments such as Hadoop), data management languages, schema, analytics tools, etc
- Powerful data analytical skills
- Working knowledge of advance methods such as Network Analysis, various modeling techniques, cluster/factor analysis techniques, forensic techniques (such as Benford’s Law)
- Proficiency with data management languages (e.g., SAS, R, Python, etc.)
- Extensive knowledge of relational databases such as Oracle, SQLServer, and Data Marts, Data Warehouses, and Big Data architecture. Expert level proficiency with analytical tools required in these environments
- Extensive working knowledge of Mantas and other financial AML systems
- Ability to adjust to changing focus and/or priority as well as the ability to successfully multi-task as needed and set priorities as needed
9
Lead Data Analyst Resume Examples & Samples
- Coordinate and coach the data analysis team, including activity planning and refining working methodologies in order to ensure alignment with overall team strategy
- Communicate with other teams to exchange important information about projects and activities
- Foster team collaboration, providing guidance and direction where necessary
- Develop custom analysis with BI tools to provide valuable information to stakeholders and leadership
- Develop analysis to identify opportunities of product improvement and create general success metrics based upon the defined business objectives
- Recommend and run A/B or multivariate tests and assess their status using statistical analysis
- Minimum of 5 years of experience in data analysis
- Team management and leadership experience
- Experience leveraging data analysis to solve real-world problems and create solutions
- BS degree or higher in Computer Science, Math, Engineering or Statistics
- Experience with BI/data visualization tools (e.g., SSRS, Tableau, Looker, Qlikview etc.)
- Fluent in the English language, both written and spoken
- Ability to work in a fast moving operational environment
- Enthusiastic and positive attitude
- Commitment to provide a high level of customer service to internal users
- Good analytical and problem solving skills, with strong attention to detail
10
Lead Data Analyst Resume Examples & Samples
- Coordinate and lead the successful delivery of analysis services within major Data programmes and projects
- Your strong knowledge and experience with a variety of Business Intelligence/ Data Management technologies will be utilized along with your experience in Agile development processes
- Minimum 5 years commercial experience as a Senior IT Business Analyst or equivalent e.g. Solution Analyst, Systems Analyst, etc
- Ideally you will have a sound overall understanding of Business Intelligence/Data Management Technologies such as
11
Senior Lead Data Analyst Resume Examples & Samples
- Bachelors Degree, preferably in a related field (computer science, management information systems, statistics, accounting or finance)
- Experience with business itelligence tools such as IBM Cognos, Crystal Reports software
- Proven project management skills
- Proven ability to work autonomously and in teams
- 5+ years audit experience or comparable risk, control and analysis experience
12
Lead Data Analyst, Enterprise Counter Resume Examples & Samples
- Responsibility for ‘tuning’ which refers to data modeling and statistical work to fine tune our Fraud transaction monitoring
- Arrange or conduct precursor data activities (identify sources/bias/error, conduct ETL, etc.)
- Create visualizations, predictions, and explanation of margin of error) to peer stakeholders and senior management
- 3-5 years of prior work performing fraud analytics with traditional analytics tools; specifically preferred are relational databases such as Oracle, Teradata, SQL Server required
13
M HIS Lead Data Analyst Resume Examples & Samples
- Model and analyze healthcare data, including inpatient, outpatient, professional, and pharmacy claims
- Develop data visualizations using graphs, charts, and tables to communicate findings to a lay audience
- Write and execute SQL queries using joins, subqueries and indexing
- Develop program evaluation methodology using multivariate approaches
- Minimum of one or more (1+) years of R programming experience
- Micro Strategy report, document, and dashboard development experience
- Basic understanding of statistical concepts and experience with statistical software packages
- Proficiency in Excel, including pivot tables and formulas
14
Lead Data Analyst Resume Examples & Samples
- Recommend any infrastructure adjustments if needed and create or adjust architecture diagram as needed
- Configure and build software artifacts needed for solution implementation
- Conduct unit testing and validation of Optim solution
- Provide production support for Optim deployed solutions
- Writing, ability to write processes and procedures and other documentation
- Training, ability to develop internal Optim training program
- Presentation, ability to present concepts / requirements to an audience
- High level PM skills, ability to coordinate project activities
- Actively pursues and applies new advancements in the industry and integrates into processes. S/he must be a self-starter with effective oral and written communication skills. S/he must also be customer-service oriented and an experienced problem solver who seeks assistance when necessary
15
Lead Data Analyst / Modeler Resume Examples & Samples
- Perform an enablement role to facilitate development and analytics teams in locating, understanding and selecting the appropriate DST data
- Implement and support Data Governance policies, standards, and processes
- Assist in the development and resolution of Master Data implementations
- Model and design transactional data structures, operational data stores, data warehouses and data marts that support analytics
- Provide data integration and design expertise, including application data flows, meta data, and data mapping, that will lead to the appropriate linking and integration of data from different source systems
- Create and maintain excellent data documentation that allows the data to be understood and leveraged for additional use
- Ensure that data designs follow architectural directions
- Ensure design reflects appropriate business rules
- Facilitate data integration, data conformity and data integrity
- A minimum of 5+ years experience independently producing successfully implemented data or object models demonstrating knowledge of at least one relational database management system, various data management tools, and structured analysis techniques, principles, and methodologies
- Excellent organization skills
- Flexibility and ability to work on multiple projects simultaneously in a fast-paced environment\Excellent ability to communicate verbally and in writing at various levels of the organization
- Experience and/or training in Data Analysis, Data Modeling, Dimensional Modeling and Data Warehouse concepts
- Ability to perform research and data sourcing within the data environment
- Experience with BI, analytics and Big Data concepts
- Experience with data modeling tools (E/R Studio, Erwin, Power Designer)
- Customer Service Oriented
- Bachelor’s Degree from an accredited four-year college or university; or four years related experience and/or training; or equivalent combination of education and experience
16
Lead Data Analyst Resume Examples & Samples
- Minimum of 8 years’ of experience in using ETL tools such as Talend
- Minimum of 2 years’ of experience in Data visualization tools such as Tableau
- Minimum of 1 year of experience in data design, data architecture and data modeling
- Knowledge of data transfer and ingestion technologies including HVR
- Communicates complex solution concepts in simple terms
- Quickly learn and adapt the capabilities of new technologies and share with the team
17
Lead Data Analyst Resume Examples & Samples
- Assist in the development and deployment of the Industrial Sector’s data analytics strategy and program which is focused on
- Identify opportunities to leverage data to further enhance the control environment and provide insights into the financial and operational activities of the business
- Support the data analytics needs of the Industrial Sector
- Participate and support special projects and ad-hoc data analysis requests, on an as needed basis
- Perform some Sarbanes-Oxley procedures and internal control testing to support management’s assertion (~25% of time)
- Bachelor’s Degree in Information Systems, Computer Science, Finance, Accounting, or Mathematical/Statistical from an accredited institution required
- Minimum 4 years of experience in accounting, auditing, Information Technology, and/or data analytics
- No sponsorship is being offered for this role. Candidates must be legally authorized to work in the US without company sponsorship now or in the future
- Strong interpersonal communication skills
- Strong interpersonal skills, with the ability to promote ideas and work effectively with all levels within the organization
- Travel up to 15% (domestic and international)
- Experience analyzing manufacturing business processes. This would include: business process flowcharting and risk/control analysis and assessment
- Strong analytical skills and advanced knowledge of one or more common data analytics tools and CAAT (Computer Assisted Audit Technique) technologies (e.g., ACL, IDEA)
- Familiarity with Business Intelligence Tools –OBIEE, Qlikview, Hyperion, Cognos, ENCORE, RADAR, etc. would be an asset
- Working knowledge of key auditing and accounting concepts (GAAS, GAAP) and experience in supporting / participating in an audit activity
18
Lead Data Analyst Resume Examples & Samples
- Answers analysts' technical questions and provides instruction as needed on procedures
- Reviews analysts' conversion instructions and ensures their completeness and correctness
- Analyzes data and writes conversion instructions for vendor to produce a keying program targeted to specific geographic areas
- Monitors revisions to data necessitated by QC findings
- Assists in personnel performance reviews
- Executes special projects as assigned
- Performs other duties as requested
- Bachelor's degree in business or related field
- Minimum one year's experience as a Data Analyst
- Strong organizational, prioritizing and time management skills
- Able and willing to provide guidance and support to Data Analysts
- Proficient in Word, Access, Excel, SQL, and DataJunction
19
Lead Data Analyst Resume Examples & Samples
- Work closely with Site Engineering and Architecture, business stakeholders, and Merchandising, to evaluate and prioritize business needs
- Evaluate data accuracy and usefulness
- Provide data flow diagrams and documenting processes
- Provide quantitative analysis to support business stakeholder use cases to maximize selling opportunities
- Understand corporate systems, data environments and reporting tools
- Data mine and analyze site customer data and site catalog data, sifting out opportunities to increase sales and average order value
- Research and analyze various data source systems using SQL and/or SQL tools to study the data and match the requirements
- Comfortable coordinating the efforts of others to tackle issues that may reside outside the scope of the candidate's own personal knowledge
- BA/BS Degree in Information Systems or related field preferred or equivalent work experience
- Minimum 3-5 years of experience with enterprise data quality and data integration
- Experience & familiarity with customer and product catalog data
- Experience in data analysis and problem solving with large amounts of data
- Working knowledge of big data technologies - Spark, Hadoop, Hive, Scala, R. An interest in ML and algorithms is a bonus
- Ability to create a Proof of Concept using a programming or scripting language e.g. java, perl, python
- Excel technical skills & experience with writing SQL statements for relational databases such as Oracle, Microsoft SQL Server, IBM DB2, MySQL are required for this role
- Strong knowledge and experience with Agile/Scrum methodology and iterative practices
- Strong communications skills (spoken and written) and the ability to effectively communicate design recommendations to a varied audience
- Strong analytical and documentation skills
20
Lead, Data Analyst Resume Examples & Samples
- In collaboration with the VP of Global Land Marketing, identify cross-selling opportunities and develop strategy to enhance our solutions offering and enable our sales teams to go to market with winning, replicable, scalable value propositions
- Collecting pricing and external market data to develop reports for commercial teams
- Documenting business processes and developing analysis and analytics to support optimization of these activities
- Assisting IT in organizing data in support of analytic tools and business needs. Researching new data sources and liaising with business stakeholders to understand how data maps to commercial activities
- Problem solving complex issues and developing innovative approaches to addressing business challenges
21
Lead Data Analyst Resume Examples & Samples
- Design and construct analysis tools that extract, prepare, and analyze data and store the analytical results in an appropriate format for a given business need (usually, in ways that are optimized for use in downstream analysis and reporting)
- Building key data sets to empower operational and exploratory analysis and designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics
- Create analysis and data reconciliation through SAS, R and other tools, to include provider data, claims data, membership data
- Coordinate analysis and development initiatives with cross health plan initiatives and capabilities
- Handle multiple projects and timelines effectively and communicate risks and issues to manager regularly
- Demonstrated experience with database technologies (e.g. Teradata, MS SQL Server, HANA, MySQL)
- Experience working with large databases, data verification, data management, modeling, data architecture and data governance experience
22
Lead Data Analyst Resume Examples & Samples
- Undertake the development of key risk solutions through a full Software Development Life Cycle (SDLC) utilizing SAS/SQL/UNIX. The development will be either directly or via effective management of Offshore Resource
- Ensure that all solutions are fully automated when implemented into the Risk SAS Grid production area for the production team to run
- Work closely and in collaboration with senior stakeholders in technology and risk to understand the overall data requirements to prevent duplication of data preparation activities across risk and support the overall data strategy
- Use experience and expertise in data and technical areas to support the data management team and help shape the strategic direction of the team within the risk analytics area
- Drive the creation of a Risk Data Model with IIT to represent operational data into a logical business view thus speeding up model implementations
- Strong Technical Documentation (Functional/Technical Specification, process flows, data dictionaries) to satisfy BCBS239 principles
- Creation and execution of test Strategies with full documentation
- Advanced SAS Programming / Enterprise Guide / SAS DI / LSF Scheduling
- Advanced SQL Programming. SAS or Teradata SQL an advantage
- Fully understand Software Development Life Cycle (SDLC), are seen as SME, and proactively suggests improvements
- Ability to produce dynamic report given any spec
- Creation and amendment of complex applications and solutions
- Understanding of data transfer mechanisms (e.g. Connect:Direct, DTU)
- Process improvement techniques
- Can create, read and understand ERD's. Build solutions based upon
- Complex formulas, VBA (e.g. Macros)
- Strong investigator, asking the right questions to the right people to clearly understand a business process
- Has the technical skills and problem solving skills to analyse complex solutions to backward re-engineer business requirements. Can migrate, suggest improvements and resolve issues
23
Lead Data Analyst Resume Examples & Samples
- Serve as a Lead Data Analyst leading and supporting strategic-related initiatives
- Perform data research and analytical tasks in support of Cyber, Risk, Compliance, and Technology
- Be a key player in the development of innovative methods for detection of joint threats
- Develop partnerships to provide opportunities for more efficient solutions to various data, system, and applications issues resulting in lower costs
- Advance the tool suite and skillset of the Strategic Intelligence Analysis Group
- Provide Subject Matter Expertise (SME) on behalf of Enterprise Operations & Technology to cost-effectively thwart joint threats through data analytics
- Perform ad hoc requests as needed
- Demonstrated solution development ability in a data and analytics setting. Candidate must be able to research, conceive and offer/implement solutions that are unique and different from existing methods
- The ability to adapt to the ever changing threat landscape, including threats to Citi’s information infrastructure (including environments such as Hadoop), Citi businesses, data management languages, schema, analytics tools, etc
- Knowledge of advanced methods such as Network Analysis, various modeling techniques, cluster/factor analysis techniques, forensic techniques (such as Benford’s Law)
- Ability to adjust to changing focus and/or priorities as well as the ability to successfully multi-task as needed and set priorities as needed
24
Lead Data Analyst Resume Examples & Samples
- Provide consultation of Big Data analytics, data management, conversion, queries
- Define and safe-guard data standards
- Perform data cleansing, data consolidation, conversion and data standardization
- Work out data load frequencies
- Advise on data strategies including retention and legal compliance
- Contribute to design, develop, configure, test and deploy data integration across the analytic solution
- The scope of activities will cover all three areas in renewable energy solutions: onshore, offshore and hydro generators
- Hands-on experience with Big Data, Greenplum and PostgreSQL, possibly Oracle and MSSQL
- Familiar with injestion, conversion, consumption design
- Strong process focus
- Ideally, some experience with SAP Integration, Oracle
- Good command of English communication is a must, French is an advantage
- Flexible, team-player mindset is a great advantage
- Willingness to take a step further, self-driven personality
25
Global Data Management Lead Data Analyst Resume Examples & Samples
- Responsible for developing and applying data analytic methodologies and principles
- Lead the application of analytic techniques and help define project objectives
- High level of professionalism, experience in challenging client environments
- Self-starter, results driven
- Team player, demonstrated ability and willingness to work collaboratively
- Strong communication skills, ability to communicate complex topics in clear, simple terms
- Good listening skills
- Time management skills, ability to demonstrate progress on multiple concurrent activities
- Strong critical thinking and decision-making skills
- Ability and willingness to put in extra effort to achieve a goal
- Commitment to continuous learning; ability to learn new business environments, applications, technologies, and processes quickly
- Versatility/flexibility in consulting roles – willingness to perform multiple roles and hands-on administrative tasks to achieve project success, experience working in an environment where priorities change
- Experience working as a consultant or working closely with consultants
- Knows the difference between a consultant and a “contractor”
26
Lead Data Analyst Resume Examples & Samples
- Three or more years of successful investment sales experience and the desire to work in a fast-paced, goal and commission based environment required
- Series 7 before hire (S63 also if state requirement)
- State Life and Health before hire
- Series 65/66 within 120 days of hire
- Ability to make professional sales presentations and be able to build credibility with Huntington's client base
- Proven organizational skills and ability to work successfully, independently, and proactively in a team environment required
- Must have excellent written and verbal (face-to-face and phone) communication skills including interpersonal and influencing skills needed to interact with individuals at all economic levels
- Strong organizational skills with attention to detail
- PC and internet proficiency
27
Lead Data Analyst Resume Examples & Samples
- Understand portfolio liquidation performance trends through creation and communication of MI and Insight for internal TDX stakeholders, clients, and suppliers
- Create and execute innovative strategies to enhance portfolio performance, in line with the TDX test & learn framework
- Provide analytical insight and recommendations to the Agency Management and Client Relationship teams to optimize portfolio performance
- Effectively integrate into the analysis team and proactively manage relationships with stakeholders across all business functions
- Strong science / mathematics, engineering or numerical degree level qualification
- Experience of problem solving, MI creation and of delivering high quality analytical output to tight deadlines
- Exceptional numeracy, analytical rigor and attention to detail
- Experience of leading complex analytical projects resulting in business change
- Exceptional interpersonal and relationship building skills
- Experience of collections or recoveries environment
- Client interaction in a B2B environment
- Line management of data analysts
28
Lead Data Analyst Resume Examples & Samples
- Manage a team of 3-5 data analysts to deliver accurate and timely reporting and recurring items to client
- Oversee reporting and project database integrity, maintenance, and workflow optimization serving nine programs for energy efficiency sector, including partnering with ICF subject matter experts on project execution
- Work with program managers, data team, internal IT team and the client to define the system requirements, accurately describe program activities and monitor progress toward program goals and benchmarks
- Identify training needs across the team of data analysts and connect them with resources for their development, as well as provide one-on-one technical assistance
- Advise the client on best practices for metrics reporting and recurring deliverables, tracking any changes in delivery scope and changes throughout implementation
- Develop an understanding of the client processes and procedures and assist with making improvements relative to technology
- Advise and direct data analysts on viable forecasting methods using historical data and simulations
- Bachelor’s degree in Industrial & Systems Engineering, Economics, Business Administration/Management or similar with 4-6 years related experience
- 6+ years’ experience managing timely, accurate reporting deliverables
- Outstanding analytical skills and attention to detail
- SQL and database management experience
- Ability to define, document and refine business processes involving multiple stakeholders
- Experience in the development of standard system documentation, tracking issues and working with IT counterparts to ensure that requirements are being met
- Ability to provide direction of project teams to successfully execute project tasks, controlling scope, budget and schedule
- Strong customer service focus, project planning, and organizational skills
- Ability to coordinate with diverse program stakeholders and work collaboratively in a team environment
- Solid requirements gathering and facilitation experience
- Experience in the development of standards documentation – requirements specifications, use cases, design specifications, test plans and test scripts and other supporting system documentation
- Advanced and in-depth MS Office skills including SharePoint 2010 and Excel
- Experience in MS Dynamics CRM handling user access, configuration, reporting and user trainings
- Exceptional verbal, interpersonal and written communication skills
- Devout adherence to deadlines
- Resourceful with strong problem-solving skills and self-motivated
29
Lead Data Analyst Resume Examples & Samples
- Plan, coordinate and conduct ad-hoc and deep dive analysis leveraging various methodologies including, but not limited to SQL, Advanced Analytics like regression analysis, factor analysis and machine learning techniques like Decision Tree, Cluster Analysis and Text Analytics
- Hypothesize, document, and clearly communicate analytical approaches and data models that address the questions asked by stakeholders
- Identify, develop and prepare analytical insights in the form of PowerPoint presentations, reports and dashboards in Tableau or similar tools
- Collaborate and communicate with team members and stakeholders throughout the process
30
Lead Data Analyst, Member Services Analytics Resume Examples & Samples
- Provides consultation to clients, including organizational leadership and guides work towards actionable outcomes
- Regularly measures the impact of business decisions on clients and customers
- Evaluates effectiveness of actions/programs implemented&makes recommendations
- Works with clients and staff to identify opportunities and methods to improve efficiencies with analysis
- Provides support to peers and mentoring to junior staff including: technical&programming assistance, project management and scoping, documentation review and support
- Directs and executes creative analytic approaches that lead to actionable outcomes which further promote organizational goals
- Proactively recognizes potential issues, develops plans to address and understands how to communicate these steps to department leadership and clients
- Analyzes and develops complex logical db designs, data models, and relational data def in support of corporate and client area info systems requirements
- Participates in the development of outcomes and process measures, including technical specifications, to enable measurement and evaluation
- Builds sophisticated statistical models and forecasting tools using databases
- Defines and frames complex multi-dimensional healthcare issues and develops time tables/processes for decision making
- Minimum five (5) years of work experience
- Knowledge of health care industry preferred
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Lead Data Analyst Resume Examples & Samples
- Independently managing the end to end development lifecycle of complex data analysis solutions to deliver high value, business relevant, analytical solutions to programme stakeholders
- Designing, developing and deploying data visualisation solutions to provide insights into business problems
- Working as part of a data analysis team to identify, propose and develop complex analytical, business relevant solutions, to accelerate business and regulatory change programmes across the Bank
- Using data analytics and exploratory analysis techniques to identify opportunities for cost reduction, revenue enhancement, operational enhancement and business optimisation etc
- Ensuring all deliverables and solutions are of an extremely high level of quality, all testing is fully documented and signed-off and providing quality assurance support to other team members
- Promoting analytical innovation and collaboration, both within the team and throughout the wider Deutsche Bank organisation
- Utilising data science, statistical modelling and machine learning techniques to achieve organisational and project objectives
- Educated to Bachelor’s degree level (or equivalent qualifications and work experience)
- Strong experience in developing complex data analysis solutions
- Extensive experience in the development of business relevant analytical solutions in one or more of the following domains: marketing, risk, finance, regulation, investigations and anti-financial crime (AFC)
- Experience with data visualisation tools such as Qlikview/Qliksense, Tableau, Spotfire etc
- Experience of working in an Agile development environment (beneficial)
- Experience in large scale transformation programmes (beneficial)
- Experience with Python and/or R (and associated data science modules) (beneficial)
- Experience with data science tools such as SAS enterprise miner, RapidMiner, IBM Watson etc (beneficial)
- Experience with Hadoop, and associated technologies (Hue, HIVE, Spark etc.) (beneficial)
- Experience with JavaScript (beneficial)
- Experience working with semi-structured and un-structured datasets (beneficial)
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Lead Data Analyst Resume Examples & Samples
- Work as a Scrum Master and facilitate daily huddles, iteration planning and review sessions
- Provide technical support to Data Analyst
- Support weekly, monthly and yearly inventory reporting and forecasting
- Motivate and inspire other team members
- Work in conjunction with business analysts to develop, test and implement new production audit opportunities and trends
- Analyze data files for quality, quantity, and accuracy
- Develop, collect and analyze metrics and data to formulate fact-based decisions and proactively implement process improvements
- Developing and pioneering approaches to emerging industry trends
- Collaborate on application architecture design, enhancements, and decision-making
- 3+ years of experience in Analytical role using SAS EG programming and some type of RDBMS such as MySQL, Oracle, or MS SQL Server
- 2+ years leading a team of analysts while prioritizing client expectations
- Process driven and detail oriented
- Excellent critical thinking and analytical skills
- Possess excellent time management and prioritization skills in order to meet multiple deadlines; comfortable working in a high-paced/high production area
- Automating processes
- UNIX experience
- Experience with VB.Net, Python, C#, R, or other object oriented programming
- Bachelor’s degree/ Technical degree or equivalent work experience (3+ years)
- Proven ability to manage large scale projects to successful outcomes
- Naturally inquisitive about the causes behind data trends and patterns
33
Lead Data Analyst Resume Examples & Samples
- Develop data requirements to support new products and new insights
- Use data and business knowledge to find new ways to answer key business questions
- Work with large amounts of data, gathering, cleansing, analyzing and summarizing. Strong SQL skills are a must
- Develop analytical strategies to solve business problems – this involves understanding the business problem, identifying relevant data, gathering and summarizing data meaningfully and applying appropriate statistical analysis to identify causal relationships and predict future outcomes. Deliverables must be high-quality with strong attention to detail
- Use SQL to access our databases and work with data
- Use Tableau, Toad, Excel, Alteryx and other tools to create visualizations and reports to explore and explain data
- Contribute to our constantly-evolving data layer by creating new ways of understanding our business
- Create dashboards and automated reports on key business metrics
- Present insights through formal and informal presentations and written reviews
- Bachelor’s degree required, preferably in Business, Technology and/or Finance
- Experience with SQL is key as well as a desire to build new skills
- Tableau, R, Alteryx skills preferred
- Information architecture, statistics, mathematics preferred
- Experience with creative and analytical thinking – knowledge of how to ask and answer questions with data Experience with
- 7 years of data analytics experience working with a variety of data sources
- 4-5 years of experience working with Visualization Tools, i.e. Tableau
- Experience working in a large data environment doing SQL development
34
IT Lead Data Analyst Resume Examples & Samples
- 7 or more years Quantitative analysis and reporting of customer or product data. (Required)
- 7 or more years Data modeling or architecture. Data cleansing tools and techniques. Data stewardship. Data Quality Analysis MDM or RDM. Standards, Processes and Controls for development and for operations. Reporting support Documentation. Control designs for processing integrity. Data Sourcing and Content analysis. Subject area expertise in Retail Banking, Retail Lending, Commercial Banking or Commercial Lending. Subject area expertise in anti-money laundering compliance, adverse business events, regulatory compliance, litigation, valuation. (Preferred)
- 7 or more years Skills or implementing and or or using: Data modeling software, such as ERWin or ER or Studio Implementation and administration of BI Software, such as Business Objects or Crystal Reports or Brio or Hyperion, including semantic layer management SQL Server and Oracle including SQL queries and stored procedures Data cleansing software, such as Trillium MDM software Data Visualization tools, such as Qlikview or Tableau Analytical tools, such as SASPlus: solid communication skills and proficiency with Excel, Word and PowerPoint. (Preferred)
35
Lead Data Analyst Resume Examples & Samples
- Performs statistical data analysis on large data sets, resulting in impactful insights and outcomes
- Creates models, monitors results, and develops and executes hypotheses for improving models
- Logically integrates information from multiple resources and effectively communicates results to department management
- Develops analytic solutions based on multivariate statistics, including regression based modeling, various predictive modeling tools, descriptive statistical techniques, and statistical diagnostic techniques
- Collaborates to implement projects, complete tasks, and fulfill plans to ensure timely and efficient analysis, modeling, evaluation and reporting
- Develops creative and innovative analytical solutions for problem solving
- Works with Technology to automate processes that create efficiencies
- Respond effectively to requests for ad-hoc analyses
- Prepares written analysis and presents findings and recommendations to key marketing leaders
- Leads small teams of analysts on special projects or major operational studies
- 8+ years work experience in analytics in a competitive industry with similar responsibilities; 5 or more years of experience if candidate possesses a related advanced degree
- Strong analytical background and knowledge in statistics, data mining and predictive modeling
- Proficiency in SAS and SQL
- Strong communication and presentation skills required
- Comfort setting direction and drawing insight from multiple (and often unclear) data sources
36
Lead Data Analyst Resume Examples & Samples
- Key contributer to capability development within the delivery organization; including reviews and gap assessments, delivering on source and data domain strategies
- Supports the continued modernization of our data ecosystem to mature our enterprise data, reporting, and analytics capabilities
- Works with the Enterprise Data Services (EDS) team members to grow data platform capabilities to solve new data problems and challenges
- Writes code to extract information and gain knowledge from new and integrated data
- Helps bridge the gap between the existing skill sets of data analysts and the new Hadoop platform – working with the data engineering and architecture personnel and expanding/ teaching development of SQL queries on the big data platform
- Identifies, and in some cases, resolves conflicts between models, ensuring that data models are consistent with the data eco-system (e.g. entity names, relationships and definitions)
- Creates data flow diagrams, creates a data catalog/dictionary, and interprets data architecture to analytic teams
- Supports the continuous improvement of the Technology engagement model to get “more data, faster” from both new and existing data sources
- Facilitates best practices for data architecture that will ensure reusability and scalability while meeting the tactical business needs
- Partners with Technology to drive impact assessment and change management for new or enhanced data assets
- Ensures business value is delivered within time, quality, and scope expectations for strategic data initiatives
37
Lead, Data Analyst Resume Examples & Samples
- Develop Analytics and Aviation products by identifying potential offerings; conducting customer research; generating requirements; determining specifications, timetables, pricing, and integrated plans for product introduction
- Evangelizing products and strategies and offerings to management and customers
- Measure and prioritize product investments and sales efforts to drive profitable growth utilizing both operational and financial data
- Create in-house applications and solutions leveraging APIs from external data and internal data sources
- Mine aviation vast data to develop new insights for growth, performance and products
- Work closely with leadership teams to prioritize business and information needs and drive our analytics strategy
- Utilize existing analytics tools to produce analytics for customers and develop sales tools to help customer immediately see value
- Identify, analyze and predict trends or patterns in complex data sets
- Utilize advanced analytic tools, such as Tableau, to analyze data, develop reports and provide data-driven actionable recommendations
- Ability to ramp up on industry context as role require developing actionable business insight from data
- Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis
- Develop standard procedures to manage data and automate analytics
38
Lead Data Analyst Resume Examples & Samples
- Prepare Quality Control and trend analysis reports prior to release of exam scores, and perform initial review
- Lead the testing of systems enhancements and other process changes
- Perform other operational tasks as needed, using statistical software (SAS), Microsoft Office, and proprietary database software. Perform ad hoc data analyses upon request
- Design and perform statistical analyses
- Perform item calibration and item analysis procedures and prepare reports for Psychometrician review
- Partner with Psychometricians on data preparation for research projects
- Update procedures and maintain required documentation. Carry out department data retention policy pertaining to Psychometrics records
- Partner with others in process improvement initiatives related to operational Psychometric tasks, and perform quality control analyses relating to system changes and updates
- Revise and/or create SAS macros and other software programs (e.g., Panel building) as needed for operational work
- Detail-oriented, organized, and careful approach to work
- Advanced knowledge and application of statistical concepts
- Advanced SAS programming skills
- Advanced Microsoft Excel skills (e.g., creating and modifying macros, programming in Visual Basic)
- Ability to work independently, as well as collaborate with others
- Ability to learn new software and applications
- Ability to mentor and coach junior-level staff
- 3- 5 years of experience in the testing industry or related experience
- Bachelor's degree in mathematics, psychology, statistics, computer science or a closely related field, or an equivalent combination of education and experience
- Master’s Degree or combination of education and experience
39
Lead Data Analyst Resume Examples & Samples
- Bachelor’s degree in related field or equivalent experience
- 8+ years of statistical analysis or data analysis experience
- 60% Strategic – responsible for setting up or making recommendations to create new data marts and 40% operational – review processes and recommend improvements, developing standard processes
- Healthcare Insurance experience preferred
- Advanced knowledge of Enterprise Reporting and Analysis tools
- Expertise in using Microsoft Stack including SQL, Excel and Access
- Experience managing projects or heavy involvement in project implementation
- MUST have experience building data warehouses from scratch
- Must have experience with Data Models, Dimensional Modeling, Data Marts, Data Warehouse
- Crystal Reports is a plus and SSIS is a plus
40
Lead Data Analyst Resume Examples & Samples
- Take a leadership role in the NYC-PPO related reporting and analytics. Responsible for designing and developing the regular reports to monitor the utilization and cost of NYC book of business, preparing annual medical management presentation to the city of New York, and conducting special analyses and responding to ad hoc requests from Mayor’s office and the Unions
- Collaborate with Emblem Underwriting and Accounts Management team, and provide impact analysis on benefit change and projection for utilization trend in support of annual contraction negotiation and benefit design for NYC products. When needed, work with external consultants retained by the City and the Union on data issues
- Support clinical intervention programs targeted for the NYC members, including baseline assessment for program design, on-going reporting for program operations, and periodical analysis for program evaluation
- Responsible for providing the reporting and analytical support for Emblem’s stand-alone products for dental and vision benefits, including generating periodic reports, meeting the ad hoc data needs, and completing the annual FEHBP regulatory filing with federal government. /or presentation of the findings
- Assist in Informatics team project on Emblem’s medical utilization and cost trends with specific focus on PPO products. Monitor the variations in medical utilization and cost, identify emerging trends, and conduct root cause analyses to uncover the underlying drivers
- Assist in the Informatics data quality assurance process. Conduct monthly data reconciliation for the Truven analytical tool and perform QA review for other Informatics projects as needed
- Acts as subject expert on the GHI legacy data systems and PPO related reporting and analytics. Provide technical and methodological consultation to other Informatics staff
- Conduct ad-hoc, and special projects as assigned
- Strong ability in applying financial, statistical, and economic research methods to answer business questions
- Independent judgment and decision-making capability to handle complex projects, set priorities, and meet project deadlines
- Knowledge and resourcefulness with regard to business operations and data systems
- Excellent communication skills in interacting with senior executives, internal department, and external government agencies
- Ability to effectively manage complex projects and collaborate with staff internal and externally
41
Credit Risk-lead Data Analyst Resume Examples & Samples
- Reporting & Data Analysis
- Well-developed quantitative analytic skills & attention to detail, evidenced through prior experience of sophisticated data analysis
- Desire to proactively keep their own specialist skills and knowledge at leading edge standard in order to fulfil their role
- Excellent experience in data manipulation and performing data analysis using SQL & SAS
- Excellent Excel skills (VBA knowledge a bonus), and solid PowerPoint capabilities
- Experience with using Hadoop data infrastructure preferred
- The individual should have the ability to resolve data integrity issues by identifying and fixing issues at source
- Ability to create and implement project task plans to deliver project plan objectives
- Teamwork - Ability to work as part of a cross-functional virtual team
- Communication - Effectively and concisely communicate key issues and ideas through correspondences and verbally without supervision
- Innovation - Able to identify and deliver new ideas that address important data issues
42
Lead Data Analyst Resume Examples & Samples
- Providing thought leadership with a demonstrable, hands-on approach to analytics and the application of data science techniques, such as statistical modelling and predictive analysis, to provide transformative proposals for the resolution of business problems
- Overseeing and leading the creation of models, reports and visualisation solutions providing interpretation and insight into business data and processes
- Using issue identification and analysis techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and proposing solutions
- Providing escalation management of key clients and stakeholders
- Managing Analysts to develop and implement data analytics procedures and best practices
- Leading teams of Analysts on analytic workstreams
- Mentoring and coaching junior team members to develop their analytic, technology and business skillsets
- A strong background and experience of leading complex data analysis activities
- Experience working with senior stakeholders to understand business problems and develop solutions
- Expert Structured Query Language (SQL) skills
- Experience with Hadoop (Hive, Impala, HUE, Scoop, map reduce) beneficial
- Experience of Data Science or Forensic Data Analysis
- Experience working in Global teams
- Experience with Agile principles and methodology
- The ability to prioritise and negotiate key deliverables
- Experience with python or other scripting languages (beneficial)
- Experience of R or similar (beneficial)
- Previous experience in a financial domain (capital markets, transaction banking, wealth management) beneficial
- Experience working in one or more of the following domains: Anti-Money Laundering (AML), Compliance, Anti-Financial Crime (AFC), Anti-Bribery and Corruption and Bribery and Sanctions (beneficial)
- Educated to Bachelor’s degree level (or overseas equivalent) in a quantitative discipline
- Innovative, creative and passionate about data
- Articulate and able to work directly with a broad range of stakeholders
- A logical thinker, organised and meticulous
- Able to demonstrate examples of previous successful deliveries and a track record in providing insight and innovation through the application of data science
43
Lead Data Analyst Resume Examples & Samples
- Regularly demonstrate a broad overview of knowledge regarding company products and their architectures and have in-depth knowledge in several business functional areas
- Research data architectural directions and independently develop models or complete solutions for their assigned functional areas reusing existing data where appropriate
- Perform and facilitate data warehouse analysis and may perform dimensional data warehouse design and modeling
- Demonstrate a thorough understanding of structured analysis techniques, as well as programming techniques, principles, and methodologies
- Analyze meta data
- Manage small data repositories
- Conduct internal training classes for other internal associates on data modeling techniques and other data related topics
- Represent data interests on various internal teams and lead the data standards development and revision process
- 6+ years data modeling and other data oriented work experience
- Demonstrated knowledge of database management systems, data management tools, and structured analysis techniques, principles, and methodologies
- Applicable industry-related experience
- Preferred post-secondary education in a computer-related field of study
- Demonstrated proactive leadership in the maturity of data services across an Enterprise
- Demonstrated establishment of trusted partnerships across the Enterprise
- Emphasis in leading significant data initiatives in various data dimensions (e.g. Master Data, Meta Data, Big Data & Analytics, etc.)
- Demonstrated experience in designing and implementing data warehouses, data marts, etc. using star schemas, dimensional modeling etc
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Principal / Lead Data Analyst & Developer Resume Examples & Samples
- Develop data aggregation and automation solutions in support of modeling and Product research projects
- Explore and develop techniques to utilize Big Data (i.e. Telematics) for Product Research and Management teams
- Directly responsible for projects or subprojects of significant complexity; leads projects including developing project plans, assigning tasks and facilitating team process; Consult on complex business issues and data design considerations
- Work closely with Product teams and Information Management on data projects of varying degrees of scale
- Identify reporting and data processes that are inefficient and create/change processes that will lead to measurable gains in data quality and processing time
- Lead problem resolution as needed to ensure that internal and external customers receive prompt, efficient service in accordance with company policies
- Provide appropriate communication to stakeholders related to the team’s work product
- Establish detailed process documentation and validation best practices for all data processes and technical solutions
- Depicts highly complex ideas, issues and designs to varied audiences; communicates project objectives, scope and direction across project teams; broadly responsible for education within Systems on business vision and plan and within Systems and business units on impact of change
- Guides the development of business practices and reengineering methods and standards based on vision and plan; coordinates the development of business architectures
- Prepare user documentation and training materials. Provide technical training and user support to business groups. Develop communication plans and related instructional activities
- Participate in special projects as required
- Bachelor’s, Master’s or Ph.D. degree in business or technical discipline or equivalent experience
- Minimum of 5 years related business experience
- Minimum of 5 years SAS and SQL coding experience
- Experience with Python, R, or Hadoop is preferred
- Ability to lead cross functional teams on complex reporting and systems projects
- Strong project management skills and understanding of data/reporting best practices
- Fast learner – ability to pick up new skills required
- Effective analytical/problem solving and research skills
- Ability to manage tasks/projects with aggressive deadlines/time-sensitivity
- Ability to work both as a member of a team and independently as required
- Advanced knowledge of business operations, objectives and strategies as well as business process and information flow
- Extensive understanding of re-engineering approaches. Advanced knowledge of IT concepts, strategies and methodologies
- Advanced knowledge of diverse technologies and new and current architectures
- Advanced skills in object, data and / or process modeling; financial analysis and planning, business value analysis; business process design
- Negotiation, facilitation and consensus building skills
- Strong oral and written communication skills
