BI Data Science Engineer; Reporting & Analytics

BI Data Science Engineer (Reporting & Analytics)

Sacramento, United States

• Salary Salary range of $90,000 - $95,000/year based on experience.
• Work Experience 3-5 years
• State/Province California
• Country United States

NEXGEN is the most technologically advanced enterprise asset management program on the market, integrating future-first CMMS software. NEXGEN’s EAM software provides a diverse suite of robust features to intelligently manage your end-to-end asset inventory throughout their lifecycle. With NEXGEN, you’re evolving from a legacy time-scheduled maintenance model to a proactive future-forward system built by industry thought leaders.

Why NEXGEN?

What’s the best thing about working at NEXGEN? That’s easy, it’s the people (but the free snacks in the kitchen aren’t too shabby either). At NEXGEN, our employees are our greatest asset. We value every member of our team, equipping them with the tools to grow professionally and thrive in a fun and dynamic work environment. We work hard and play hard, knowing a strong work-life balance is key to success.

What are we looking for?

Our ideal candidates are motivated, enthusiastic, and highly organized, with a strong technical aptitude and a love for summer BBQs, team building events, and office dogs. We are looking for those who aren’t afraid to be bold, take the initiative, and do the right thing—helping our clients overcome their greatest challenges to achieve their goals.

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We are seeking aversatile BI Data Science Engineer who bridges the gap between enterprise

Business Intelligence, data pipeline engineering, and applied data science. Inthis role, you will be deeply involved in both our core software product andour client-facing reporting operations.

You will maintain and scale our PostgreSQL and MSSQL data warehouse pipelines in Azure, architect dimensional data models, apply predictive and statistical modeling techniques,and build dynamic dashboards directly within our software product and through

Power BI/Excel. Additionally, you will partner directly with clients to translate business requirements into key performance indicators (KPIs) and comprehensively document our data ecosystem.

Key Responsibilities

• Design, build,and deploy interactive dashboards and widgets within our product, while creating custom Power BI and Excel reports tailored to client needs.
• Maintain, monitor, and optimize existing ETL/ELT data warehouse pipelines powered by PostgreSQL and MSSQL in Azure to ensure reliable, high-performing data flows.
• Apply statistical modeling, machine learning techniques, time-series forecasting, and correlation analyses to surface trends, identify data gaps, and deliver actionable predictive insights.
• Proactively define, implement, and track meaningful business and operational KPIs that drive decision-making for internal product teams and external clients.
• Meet with clients to gather reporting requirements, present solutions, and support ongoing analytical needs.
• Support the end-to-end data lifecycle—identifying and resolving data quality or integrity issues while adhering to best practices in schema design and dimensional modeling.
• Author complete technical and end-user documentation,including pipeline workflows, version-controlled repository standards,user guides, and a comprehensive dictionary detailing dashboards, charts,and metrics.

Qualifications & Requirements

• 3–4 years of experience combining Business Intelligence, Data Engineering, and Applied Data Analytics / Data Science.
• Advanced SQL skills with hands-on PostgreSQL and MSSQLexperience in cloud environments (Azure preferred), including writing,tuning, and optimizing complex queries, views, indexes, and stored procedures.
• Solid…