BI & Analytics Analyst​/Data Engineer

JSSA has been helping individuals and families across the Washington metro area through a wide range of counseling, educational, special needs services, in‑home support, hospice and nursing care, and social services. BI & Analytics Analyst/Data Engineer is the key resource for JSSA, and is responsible for all engineering, development, support, and management of data and analytics solutions within the agency.

About the role:

We are looking for a driven, analytically sharp BI & Analytics Analyst / Data Engineer to join our growing IT team. This is a hybrid role with an equal split between business intelligence delivery and hands‑on data engineering—ideal for someone who loves both telling stories with data and building the infrastructure that powers them. You will own the end‑to‑end analytics lifecycle: from shaping SQL Server data warehouse structures to delivering polished, self‑service Power BI reports.

You will work closely with business stakeholders, 3rd‑party data engineers (source data), and IT business partners (and their stakeholders) to turn raw data into reliable, scalable, and actionable insight.

• Business Intelligence & Analytics works with IT business partners and operational leaders to design analyses that identify opportunities for improvement in care, evaluate adherence to clinical best practice, and measure outcomes.
• Assists with ensuring that agency data repositories produce consistent, reusable data through collaboration with key staff to develop, implement and provide guidance on standards and best practices.
• Promotes best‑practice knowledge and use to business stakeholders enabling self‑service analysis vs. IT owned development.
• Owns self‑service reporting datasets, including DAX measures, data models, and row‑level security.
• Translates business requirements into clear analytical deliverables, manages stakeholder expectations and iterates based on feedback.
• Monitors report usage and data quality, proactively identifying and resolving issues.
• Documents data definitions, metric logic, and report lineage to support a data‑literate culture within the agency.
• Uses technical tools to query, manipulate, and summarize data from various data sources.
• Assists in designing, developing, maintaining, and updating databases on department and organizational needs.
• Designs and builds star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregate layers.
• Writes and maintains T‑SQL stored procedures, ETL pipelines, and staging‑to‑DWH data loads.
• Develops and owns source‑to‑target mapping documentation for new data domains.
• Integrates data from source systems.
• Contributes to data quality, pipeline reliability, and warehouse performance optimization.
• Supports the adoption of self‑service analytics by building clean, well‑documented datasets.
• Documents current data architecture, defines logical/physical data and establishes agency data blueprint.
• Manages and supports the data warehouse solution (Wheres cape RED), SQL Server and associated data management.
• Defines operational monitoring and alerting tools to ensure end‑to‑end delivery of trusted, quality data from source systems to consumption.
• Establishes best‑practice standards and processes for data automation, orchestration, and transformation.
• Identifies, designs, implements and manages a master data management solution for client and employee subjects.
• Works with key stakeholders to define data quality standards and operational DQ processes.

• Bachelor’s degree required;
  Master’s degree highly preferred.
• 5‑7+ years of experience in a BI, analytics, or data engineering role.
• Strong proficiency in SQL Server and T‑SQL—including stored procedures, window functions, and query optimization.
• Hands‑on experience building and maintaining Power BI reports and semantic models (DAX, Power Query).
• Hands‑on experience with Wheres cape OLAP solution.
• Experience with alternative OLAP solutions (e.g., Azure Analysis Service, Azure Data Lake, and Azure Synapse Analytics).
• Experience integrating or working with EHR data (reports, APIs, or data exports).
• Familiarity with star schema/dimensional modelling concepts (Kimball methodology a plus).
• Python experience for data wrangling, automation, or pipeline scripting.
• Experience with Microsoft Master Data Services (MDS), including defining entities and creating business rules.
• Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
• Comfortable working across the full analytics stack—from raw source data to end‑user report.
• Strong communication skills—able to explain data concepts clearly to non‑technical stakeholders.
• Advanced skill set with Microsoft office suite (Power BI), SQL, and experience with EMR systems (hospice, homecare, and/or mental health) desired.