Senior Data Analyst

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

By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting‑edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

Pay Range

$78,100.00 - $128,500.00

Job Description

The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted reporting, and actionable insights. This role combines analytics, business intelligence, and data engineering capabilities to support decision‑making across Marketing, Customer Service, Commercial, and Business teams. The position is responsible for partnering with stakeholders to define KPIs, improve business processes, and drive measurable outcomes through data, then designing and maintaining those data pipelines, reporting frameworks, and analytics solutions. The ideal candidate has 5‑8 years of professional experience conducting data analysis and reporting.

Key Responsibilities

• Develop Advanced Analytics Solutions: Design and build dynamic, multi-layered reports and dashboards in Power BI, SQL-based data transformations, and reporting layers to provide deep insights into marketing, commercial, and business KPIs.
• Strategic Data Analysis & Business Insights: Analyze large and complex datasets to identify trends, inefficiencies, and root causes of operational challenges. Translate findings into strategic recommendations that drive business improvements and cost reductions.
• Data-Driven Decision Support: Collaborate closely with stakeholders in marketing, business partners, and commercial teams planning to align analytical efforts with business objectives. Provide actionable insights to executive leadership and decision-makers.
• Data Engineering & Platform Optimization: Design, develop, and maintain scalable datasets, data models with SQL/Python, ETL/ELT processes, and enterprise reporting solutions. Support analytics platform modernization initiatives, including migration, implementation, optimization, and integration of enterprise data platforms.
• Automation & Scalability: Develop and implement automated data pipelines and reporting solutions that reduce manual effort and improve data accuracy, consistency, and accessibility.
• Stakeholder Communication & Business Partnership: Serve as a trusted advisor to business partners, defining requirements for business questions, effectively communicating complex data findings in a clear and actionable manner. Foster a data-driven culture across teams.
• Continuous Improvement & Adaptability: Establish a feedback loop for refining analytics models, ensuring insights remain relevant to evolving business needs and industry trends.
• Data Integrity & Governance: Troubleshoot data-related issues, ensuring high levels of accuracy, integrity, and consistency across all reports and analyses. Work proactively to enhance data quality and governance frameworks.
• Predictive & Prescriptive Analytics: Utilize statistical modeling and forecasting techniques to drive proactive decision-making.
• Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals.

Qualifications & Skills

• Bachelor’s degree in a relevant field and 5+ years of experience in data analytics, with a strong background in operations and supply chain.
• SQL: 5+ years experience
• Python: 3+ years experience
• Power BI/Tableau: 5+ years experience
• Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting.
• Strong experience with data modeling, ETL/ELT processes, data pipelines, system integrations, and cloud-based analytics platforms.
• Strong understanding of financial and marketing metrics and how they influence business performance.
• Experience with predictive modeling, regression analysis, and correlation techniques.
• Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership.
• Proven track record of developing scalable, long-term analytical solutions.
• Strong project management skills with the ability to lead and execute initiatives.
• Excellent communication and storytelling skills, with the ability to present complex data in a clear and compelling manner.
• Experience working with Databricks is a plus.

Why Join Bio-Techne

• We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
• We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
• We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
• We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
• We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
• We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

Bio-Techne is an E-Verify Employer in the United States.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

This position requires work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status). If you require a reasonable accommodation to complete an application, participate in an interview, or take part in any other stage of the recruitment process, please contact [e-mail] for assistance.