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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, based in Rockville, Maryland, is seeking a hybrid BI and Analytics Analyst/Data Engineer. The role spans end-to-end analytics, from SQL Server data warehouse design to self-service Power BI reporting, and requires collaboration with stakeholders and data engineers to turn raw data into reliable, actionable insights. The position is hybrid and requires a bachelor’s degree with at least five years of relevant experience.

Responsibilities

Collaborates with IT business partners and operational leaders to design analyses that identify opportunities to improve care, assess adherence to clinical best practices, and quantify outcomes.
Supports ensuring data repositories deliver consistent, reusable data by partnering with staff to establish, implement, and guide standards and best practices.
Promotes best-practice knowledge enabling self-service analytics by business stakeholders rather than 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 foster a data-literate culture within the agency.
Utilizes technical tools to query, manipulate, and summarize data from multiple sources.
Assists in designing, developing, maintaining, and updating databases to meet department and organizational needs.
Designs and builds star schema data warehouse objects in SQL Server, including fact and dimension tables and aggregation layers.
Writes and maintains T-SQL stored procedures, ETL pipelines, and staging-to-data warehouse 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 and physical data structures, and establishes the agency data blueprint.
Manages and supports the data warehouse solution (Wherescape RED), SQL Server, and related tools.
Defines operational monitoring and alerting 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, collaborating with stakeholders to define data quality standards and operational data quality 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 solution; experience with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics.
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).
Comfortable working across the full analytics stack from raw data to end-user reports.
Strong communication skills and ability to explain data concepts clearly to non-technical stakeholders.
Advanced skills with Microsoft Office Suite (Power BI) and SQL, plus experience with EMR systems (hospice, home care, and/or mental health) is desirable.

Technologies

SQL Server
T-SQL
Power BI
DAX
Power Query
Wherescape RED
Azure Analysis Service
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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