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Data Reporting and Analytics Consultant IV- SQL, DataBricks, Medicare​/Medicaid

Job in Oakland, Alameda County, California, 94616, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Data Reporting and Analytics Consultant IV – SQL, Databricks, Medicare/Medicaid

Data Reporting and Analytics Consultant IV serves as an Individual Contributor supporting Government Programs, with deep expertise in Medicare and related lines of business. The role leverages advanced SQL and Databricks capabilities to design, build, and deliver high‑impact analytics, reporting, and insights that improve quality, affordability, and overall business performance.

Job Summary

This individual contributor is primarily responsible for driving strategic data‑informed decisions, gathering data on targeted variables, preparing data for analytic efforts, and interpreting analyses. The position executes creative data analytic approaches, develops, implements, and automates business and reporting solutions, and develops analytical and/or statistical models enabling informed business decisions.

Essential Responsibilities
  • Practices self‑development and promotes learning in others by providing information, resources, advice, and expertise with coworkers and customers; builds relationships with cross‑functional stakeholders; influences others through technical explanations and examples; adapts to competing demands; listens, answers, and addresses performance feedback; provides feedback to others; creates and executes plans to capitalize on strengths and develop weaknesses; supports team collaboration; and learns from change, difficulties, and feedback.
  • Completes work assignments and supports business‑specific projects by applying expertise in subject area; supports development of work plans to meet business priorities and deadlines; ensures team follows all procedures and policies; coordinates resources to accomplish priorities and deadlines; collaborates cross‑functionally to make effective business decisions; solves complex problems; escalates high‑priority issues or risks; and recognizes and capitalizes on improvement opportunities.
  • Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
  • Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluates and summarizes data and results; creates summary statistics; develops data reports, visualizations, and/or interactive BI reports; reports to stakeholders on key findings; identifies needs for the development and implementation of additional reporting solutions; and prepares documentation as appropriate.
  • Interprets data analyses by applying findings to contextual settings; and develops insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and provides context related to data interpretations and/or limitations as appropriate.
  • Drives strategic data‑informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end‑users;

    and documenting processes and deliverables.
  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.
  • Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.
  • Prepares data for analytic efforts by…
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