Senior Data Analyst

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

Benefits offered by this job

Health insurance

Dental & Vision

Life insurance

Disability coverage

Pet insurance

Legal shield

401k + ESPP

HSA/FSA

Job summary

Bio-Techne is seeking an Analytics Engineer who bridges business stakeholders and enterprise data platforms. You will design and maintain data pipelines, reporting frameworks, and analytics solutions to transform data into actionable insights across Marketing, Customer Service, Commercial, and Business teams.

With 5–8 years of experience, you will partner with stakeholders to define KPIs, improve processes, and drive measurable outcomes.

Qualifications

• Bachelor's degree in a relevant field with 5+ years in data analytics.
• Proficient in SQL and Python for data manipulation.
• Advanced Power BI and Excel skills for reporting.
• Experience with ETL/ELT, data modeling, and cloud analytics.
• Strong communication and stakeholder collaboration.

Responsibilities

• Develop dynamic Power BI dashboards and reports.
• Perform strategic data analysis to identify trends and costs.
• Partner with stakeholders to align analytics with business goals.
• Design and optimize data pipelines and data models.
• Lead analytics initiatives and ensure timely delivery.
• Support governance and data quality improvements.

Skills

Analytical thinking

Communication

Project management

Data governance

Stakeholder management

Education

Bachelor's degree in a relevant field

Tools

Power BI

SQL

Python

Databricks

Excel

Job description

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, commercia l , 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 market in g, busine ss part ner s , and commercial team s 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 /Py thon , 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 b usiness partners , de fining requirements for business questu ions , 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 /Ta ble au : 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 Dat abri cks is a pl us .

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.