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End-to-End Data & Analytics Engineer Pipelines & BI
Provisions Group
- Nashville, Tennessee, United States
- Nashville, Tennessee, United States
Über
You will work closely with business stakeholders, data analysts, and engineering teams to ensure reliable, well-structured, and high-quality data is available for reporting and decision-making across the organization.
This role is ideal for someone who enjoys both building data pipelines and delivering actionable insights through BI tools and dashboards.
Key Responsibilities
Design, build, and maintain ETL/ELT pipelines that integrate data from multiple internal and external systems
Work with APIs, web services (REST/SOAP), and flat-file integrations to support data movement and synchronization
Define and implement data mapping between source systems and analytical models
Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance
Partner with engineering and business teams to resolve data quality and integration issues
Data Warehousing & Modeling
Develop and maintain scalable data warehouse models to support reporting and analytics
Design and implement fact and dimension tables, data marts, and reusable datasets
Ensure data consistency, integrity, and alignment across reporting systems
Translate business requirements into structured data models optimized for BI consumption
Business Intelligence & Reporting
Build, enhance, and maintain dashboards and KPI reports using BI tools such as: Tableau and/or Microsoft Power BI
Collaborate with business stakeholders to define reporting requirements and success metrics
Ensure dashboards are accurate, performant, and aligned with enterprise definitions
Support self-service analytics by enabling well-structured and documented datasets
Collaboration & Stakeholder Engagement
Work closely with business users to translate reporting needs into technical solutions
Partner with analysts, engineers, and product teams across the data lifecycle
Communicate technical concepts clearly to non-technical stakeholders
Participate in Agile development cycles and sprint planning
Required Skills & Experience
2–5 years of experience in data analytics, BI development, or data engineering
Strong SQL skills (query optimization, joins, aggregations, window functions)
Experience working with data warehouses (e.g., Snowflake, Teradata, BigQuery, or similar)
Experience building or supporting ETL/ELT pipelines
Hands‑on experience with at least one BI tool (Tableau, Power BI, MicroStrategy, etc.)
Understanding of data modeling concepts (star schema, fact/dimension design)
Experience working with APIs or structured data integrations (JSON/XML preferred)
Strong analytical and problem‑solving skills
Excellent communication skills and ability to work with business stakeholders
Preferred Qualifications
Experience with enterprise reporting environments or KPI standardization
Familiarity with cloud data platforms (AWS, Azure, or GCP)
Experience with workflow orchestration tools (Airflow, dbt, or similar)
Exposure to healthcare, finance, or other regulated data environments
Experience documenting data definitions and governance standards
What Success Looks Like
Business users trust dashboards and metrics as a single source of truth
Data pipelines are reliable, monitored, and easy to maintain
Data models are reusable and scalable across reporting needs
Integration issues are quickly identified and resolved
Reporting requests are delivered efficiently with minimal rework
Why This Role Is Exciting This role gives you ownership across the full analytics stack—from raw data integration to polished dashboards. You’ll directly influence how data is structured, understood, and used across the organization, while working in a collaborative and fast-moving environment.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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