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BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

Today

Full time Analyst Analytics Azure Data Lake

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Job Description

JSSA seeks a Hybrid BI and Analytics Analyst/Data Engineer in Rockville, MD, to bridge data engineering with analytics across the organization. The role spans end-to-end analytics from SQL Server data warehouse design to empowering self-service Power BI reporting, working closely with IT partners and operational leaders to transform raw data into reliable, actionable insights.

Responsibilities

Collaborate with IT business partners and operational leaders to design analyses that uncover opportunities to improve care, evaluate adherence to clinical best practices, and measure outcomes.
Contribute to ensuring data repositories deliver consistent, reusable data by partnering with staff to develop, implement, and guide standards and best practices.
Promote best-practice knowledge to business stakeholders to enable self-service analytics rather than IT-owned development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback.
Monitor report usage and data quality, proactively identifying and resolving issues.
Document data definitions, metric logic, and report lineage to support data literacy across the agency.
Utilize technical tools to query, manipulate, and summarize data from multiple sources.
Assist in designing, developing, maintaining, and updating databases to meet departmental and organizational needs.
Design and build star schema data warehouse objects in SQL Server, including fact and dimension tables and aggregate layers.
Write and maintain T-SQL stored procedures, ETL pipelines, and staging-to-warehouse data loads.
Develop and own source-to-target mapping documentation for new data domains.
Integrate data from source systems.
Contribute to data quality, pipeline reliability, and warehouse performance optimization.
Support the adoption of self-service analytics by building clean, well-documented datasets.
Document current data architecture, define logical and physical data, and establish an agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and related technologies.
Define operational monitoring and alerting tools to ensure end-to-end delivery of trusted, quality data from source systems to consumption.
Establish best-practice standards and processes for data automation, orchestration, and transformation.
Identify, design, implement and manage a master data management solution for client and employee subjects, working with stakeholders to define data quality standards and operational DQ processes.

Requirements

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 Wherescape OLAP solutions; familiarity with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics as alternative OLAP options.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling 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 business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfort across the full analytics stack from raw source data to end-user reports.
Strong communication skills able to explain data concepts to non-technical stakeholders.
Advanced proficiency with Microsoft Office tools (Power BI) and SQL, plus experience with EMR systems (hospice, homecare, and/or mental health) is desirable.

Technologies

SQL Server
T-SQL
Power BI
DAX
Power Query
Wherescape RED
Azure Analysis Services
Azure Data Lake
Azure Synapse Analytics
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)

Benefits

Competitive salary
Benefits package
Healthy work-life balance
Collaborative team environment
Opportunities for personal growth and professional development

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