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IT Data Analyst, Consultant
2 months ago
Your Role The Data Analyst team is responsible for performing detailed data analysis, source to target designs, data profiling, and metadata management in support of new development, implementation or enhancement of existing data assets. The Data Analyst, Consultant will report to the Manager of Data Solutions and Asset Management. In this role you will participate in design, development, and implementation of large enterprise data warehouse/BI solutions. In addition, you will support operations and assist with production, incident resolution. This position requires strong collaboration with a cross-functional team consisting of business system analysts, business partners, third-party vendors, solution leads, data modelers, analysts, and development teams. The analysts will be responsible for understanding business requirements, researching/analyzing requirements and understanding datasets that support business functions, conduct data profiling, and provide appropriate source to target transformations rules/logic for the implementation. Data Analysts are expected to be an integral part of the full development lifecycle process from concept, design, development through testing, and implementation. Your Work In this role, you will: Be responsible for performing data analysis which includes inspecting, profiling, transforming with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Own and manage portfolios and multiple assets within the healthcare portfolio and partner with analytics and business counterparts in providing solutions. Perform data analysis, gap and impact analysis for medium to large sized assignments (with mid/large number of data elements, one-to-multiple sources, business impact, and visibility). Drive data analysis and profiling for complex data issues with options and recommendations. Develop extensible and flexible data analysis processes based on long-term strategy and promote reuse of existing structures when possible. Work on multiple projects as a project leader or sometimes as a project advisor on projects of varying complexity. Use documented procedures to create source-to-target mapping, capturing business and technical metadata, and complete data lineage. Partner with Business Subject Matter Experts, Business System Analysts, Solution Technical Leads, Data/Application architects, and development teams to analyze data requirements to ensure data design is aligned with business strategy, project and scope. Manipulate and analyze high-volume, high-dimensionality data from various sources using a variety of tools and data analysis techniques. Perform ad hoc, live research to demonstrate/present data issues, patterns, relationships, findings and/or recommendations, risks, and assumptions. Work with cross-functional teams: data stewards, architects, data governance, data modelers, data quality, development, solution leads, and QA team to address data and mapping questions. Work collaboratively with data quality analysts, data stewards, and data governance team to resolve data quality issues. Influence stakeholders to make product improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Mentor and provide guidance to peers and junior staff. Your Knowledge and Experience Requires a bachelor's degree preferably in computer science, statistics, or mathematics or equivalent experience. Requires at least 8 years of experience in data analysis. 8+ years of hands-on experience in SQL, including querying large and complex data sets. 8+ years of experience in one or more relational or columnar databases or appliances like Snowflake, DB2, Oracle, MS SQL Server, Netezza, Redshift, etc. 8+ years acting as team lead or leading individual effort is preferred. Experience in cloud architecture, Azure framework, data vault methodology, and data catalog tools like or similar to Collibra. Strong experience in data management, data integration, data warehouse, data virtualization, and data quality design patterns and techniques. Preferred working experience in Domain models, Canonical models, and API interfaces. Proven track record of full life cycle successes from inception to successful completion and production support. Ability to effectively communicate status, design, and approach to management/business sponsors/product managers. Familiar with standard software development tools, including incident tracking, version control, documentation, and testing systems. Self-directed, ability to work with limited management direction and exercises considerable latitude in determining technical objectives of the assignment. Experience with iterative development life cycle methodologies and application of those principles, especially agile development practices. Demonstrated experience working with vendor partners, cross-functional, and development teams in terms of end-to-end technical delivery. Strong analytic, process flow, problem-solving, communication, customer service, and organization skills required. Excellent verbal and written communication skills. Capable of delivering on multiple competing priorities with little supervision. Prior healthcare experience is a plus. Pay Range: The pay range for this role is: $118,800.00 to $178,200.00 for California. Note: Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles. #J-18808-Ljbffr