BI Data Science Engineer - Reporting & Dashboards

Zohorecruit; Sacramento, Northern (CA, KY); Hybrid; USD 90,000 - 95,000; Full time

Benefits offered by this job

PTO: Starts at 15 days/year

Paid Sick Leave: 40 hours/year

401(k) with company match

Healthcare: health, dental, vision

Holidays: standard

Job summary

NEXGEN in Sacramento, California is seeking a versatile BI Data Science Engineer who bridges the gap between enterprise BI, data pipeline engineering, and applied data science. In this role, you will be deeply involved in both our core software product and 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

Qualifications

• 3–4 years of experience combining BI, Data Engineering, and Applied Data Analytics / Data Science.
• Advanced SQL skills with PostgreSQL and MSSQL in Azure cloud environments.
• Solid Python for data manipulation, EDA, and forecasting modeling.

Responsibilities

• Design, build, and deploy interactive dashboards and reports in Power BI/Excel tailored to client needs.
• Maintain and optimize ETL/ELT pipelines in Azure using PostgreSQL and MSSQL.
• Apply statistical modeling, ML, time-series forecasting to surface trends and insights.
• Define and track meaningful KPIs for internal product teams and clients.
• Meet with clients to gather reporting requirements and present solutions.
• Document data ecosystem, pipelines, and dashboards with clear technical guides.

Skills

SQL (PostgreSQL/MSSQL)

Python

Power BI

Excel

React

.NET

Git

BI/Reporting

Tools

Azure

PostgreSQL

MSSQL

Job description

NEXGEN in Sacramento, California is seeking a versatile BI Data Science Engineer who bridges the gap between enterprise BI, data pipeline engineering, and applied data science. In this role, you will be deeply involved in both our core software product and 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