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:
$89,300.00 - $146,900.00
At Bio-Techne, we are committed to excellence and innovation in the life sciences industry. As a leader in our field, we continuously seek data-driven solutions to enhance our operations and supply chain. We are looking for a highly skilled Senior Data Analyst to play a key role in driving efficiency, optimizing business processes, and enabling strategic decision-making.
As a Senior Data Analyst for Operations & Supply Chain, you will work at the intersection of data, strategy, and business operations. Your insights will directly influence key decisions, drive cost savings, and improve operational performance. You will work cross-functionally with business leaders, stakeholders, and technical teams to build scalable analytics solutions that optimize our supply chain and operational processes.
Develop Advanced Analytics Solutions: Design and build dynamic, multi-layered reports and dashboards in Power BI, Excel, and SQL to provide deep insights into operations, supply chain performance, 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.
Process Improvement & Lean Methodologies: Identify opportunities for continuous improvement by applying Lean, Six Sigma, and other process optimization frameworks. Implement automation and workflow enhancements to improve efficiency and reduce waste.
Data-Driven Decision Support: Collaborate closely with stakeholders in inventory management, finance, and production planning to align analytical efforts with business objectives. Provide actionable insights to executive leadership and decision-makers.
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 senior leaders, effectively communicating complex data findings in a clear and actionable manner. Foster a data-driven culture across teams.
Mentorship & Knowledge Sharing: Lead and mentor junior analysts, providing guidance on best practices in data analysis, visualization, and strategic business impact.
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 anticipate supply chain risks, optimize inventory levels, and drive proactive decision-making.
Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals.
Bachelors degree in a relevant field or 5-8 years of experience in data analytics, with a strong background in operations and supply chain.
Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting.
Strong understanding of financial and operational 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 Salesforce, Smartsheet, or other business intelligence tools is a plus.
If you are a data-driven problem solver with a passion for analytics and business transformation, we encourage you to apply and make an impact at Bio-Techne!
Why Join Bio-Techne:
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.
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