Data Warehouse Consultant

Role Overview

• Creates and maintains databases to track business performance
• Analyzes data and summarizes performance using summary statistical procedures
• Develops and analyzes business performance reports (e.g. for claims data, provider data, utilization data) and provides notations of performance deviations and anomalies
• Serves as a subject matter expert in data analysis and reporting, formulating actionable recommendations and providing guidance to other data analysts
• Creates and publishes periodic reports, as well as develops ad hoc reports to address emerging business questions and priorities
• Translates complex business issues into diagnostic and/or tracking data solutions that convert business requirements into actionable decision support tools
• Identifies trends, patterns, and outliers in large and complex datasets to inform strategic and operational decisions
• Provides analytic consultation to business partners, leadership, and external customers to support performance improvement initiatives
• Makes data-driven recommendations based on analysis and clearly communicates findings to technical and non-technical stakeholders
• Ensures data integrity, consistency, and accuracy across reporting solutions and analytic outputs
• Supports a higher level of complexity in data analysis and reporting, requiring advanced problem-solving, critical thinking, and independent judgment
• Ensures proper data definitions, ownership, use and integrity of data
• Analyzes more complex business user needs, documents information requirements, facilitates the identification of potential gaps in available data and collaborates with business areas to determine best means for acquiring the data needed
• Collaborates with IT resources on the creation and maintenance of the content of the data warehouse
• Establishes and maintains excellent knowledge of data warehouse data structure design, definitions, capabilities, programming languages, and data integrity issues
• Completes metadata assessment and reviews feedback to determine changes needed
• Ensures that data definitions are clear and current and communicates changes to data definitions to all users
• Collaborates with IT resources and data owners to define business objectives and definitions for databases including business rules, sources, purge archive criteria, and reload schedule.

Requirements

• Requires a BA/BS degree in related field
• A minimum of 6 years’ experience in data analysis, data modeling, and working with automated data warehouse systems
• Experience presenting technical subject matters to non-technical audiences highly preferred
• Experience navigating new data models (both documented and undocumented) highly preferred
• Ability to manipulate large sets of data highly preferred
• Ability to learn new subject matter and document effectively for broader team knowledge/use highly preferred
• Professionalism, positivity, and being solution-oriented in communications and collaborations inside and outside of the team highly preferred
• Experience with relational databases
• Knowledge of query tools and statistical software highly preferred
• Ability to train and mentor junior team members in advanced SQL query-writing and team standard operating procedures preferred
• Strong analytical, organizational, presentation, and problem-solving skills strongly preferred
• Familiarity with Amazon RedShift, Snowflake, Postgres, Microsoft SQL Server, Oracle, or equivalent database software preferred
• Familiarity with ETL coding via Python, or ETL software such as Microsoft SSIS, Informatica, or Talend preferred.

Tech Stack

• Amazon Redshift
• ETL
• Informatica
• MS SQL Server
• Oracle
• Postgres
• Python
• SQL
• SSIS

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development opportunities
• Bonuses
• Stock options
• Equipment allowances
• Wellness programs