Senior Analytics Engineer - Power BI & Data Pipelines

Bio-Techne; Denver (CO); On-site; USD 78,000 - 129,000; Full time

Job summary

Bio-Techne is seeking an Analytics Engineer to bridge business stakeholders and data platforms, crafting scalable reporting and insights. You’ll define KPIs, optimize pipelines, and deliver trusted analytics across marketing, commercial, and operations.

5–8 years of data analytics experience is preferred, with strong SQL, Python, and Power BI skills. The role emphasizes data modeling, ETL/ELT, and platform modernization, with opportunities to impact decision making and business outcomes.

Qualifications

• Bachelor’s degree in a relevant field and 5+ years of experience in data analytics.
• 5+ years experience with SQL.
• 3+ years experience with Python.
• 5+ years experience with Power BI/Tableau.
• Advanced proficiency in Power BI, SQL, and Excel, with automation experience.
• Experience with data modeling, ETL/ELT processes, and cloud analytics.

Responsibilities

• Develop dynamic dashboards and reports in Power BI; perform SQL data transformations.
• Analyze large datasets to identify trends and provide strategic recommendations.
• Collaborate with stakeholders to align analytics with business objectives.
• Design, build, and maintain scalable data models and ETL/ELT pipelines.
• Automate data pipelines and reporting to improve accuracy and accessibility.
• Guide and communicate complex data findings to leadership for decision making.
• Support platform modernization, governance, and data quality initiatives.
• Lead analytics initiatives with timely delivery and measurable impact.

Skills

SQL

Python

Power BI

Tableau

Education

Bachelor's degree in a relevant field

Tools

Databricks

Job description

Bio-Techne is seeking an Analytics Engineer to bridge business stakeholders and data platforms, crafting scalable reporting and insights. You’ll define KPIs, optimize pipelines, and deliver trusted analytics across marketing, commercial, and operations.

5–8 years of data analytics experience is preferred, with strong SQL, Python, and Power BI skills. The role emphasizes data modeling, ETL/ELT, and platform modernization, with opportunities to impact decision making and business outcomes.