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About the Role
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.
Responsibilities
- 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.
- Analyze large and complex datasets to identify trends, inefficiencies, and root causes of operational challenges, translating findings into strategic recommendations that drive business improvements and cost reductions.
- Collaborate closely with stakeholders in marketing, business partners, and commercial teams planning to align analytical efforts with business objectives, providing actionable insights to executive leadership and decision-makers.
- Design, develop, and maintain scalable datasets, data models with SQL/Python, ETL/ELT processes, and enterprise reporting solutions, supporting analytics platform modernization initiatives.
- Develop and implement automated data pipelines and reporting solutions that reduce manual effort and improve data accuracy, consistency, and accessibility.
- Serve as a trusted advisor to business partners, defining requirements for business questions, effectively communicating complex data findings in a clear and actionable manner, and fostering a data-driven culture.
- Establish a feedback loop for refining analytics models, ensuring insights remain relevant to evolving business needs and industry trends.
- Troubleshoot data-related issues, ensuring high levels of accuracy, integrity, and consistency across all reports and analyses, and working proactively to enhance data quality and governance frameworks.
- Utilize statistical modeling and forecasting techniques to drive proactive decision-making.
- Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals.
Requirements
- Bachelor’s degree in a relevant field and 5+ years of experience in data analytics, with a strong background in operations and supply chain.
- 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 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.
- Requires work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Skills
- Power BI
- SQL
- Excel
- Automation
- Scripting
- Data Modeling
- ETL/ELT processes
- Data Pipelines
- System Integrations
- Cloud-based analytics platforms
- Financial metrics
- Marketing metrics
- Predictive modeling
- Regression analysis
- Correlation techniques
- Project Management
- Communication
- Storytelling
- Databricks
Location
- United States
Work Type
- Full-time
Experience Level
- 5-8 years of professional experience
- 5+ years of experience
Education Level
- Bachelor’s degree
Salary/Compensations
- $78,100.00 - $128,500.00
Benefits
- Competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
- 401k plans
- Employee stock purchase plan (ESPP)
- Health Saving Account (HSA)
- Flexible Spending Account (FSA)
- Dependent Care FSA
- Mentorship
- Promotional opportunities
- Training and development
- Tuition reimbursement
- Internship programs
- Employee resource groups
- Volunteer paid time off
- Employee events
- Charity drives
- Accrued leave policy with paid holidays, paid time off, and paid parental leave.
About the Company
- Bio-Techne enables 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.
- Fosters a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.
Equal Opportunity
- 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.