Business Intelligence Analyst
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Key skills for this role
About the Role
Zymo Research is seeking a Business Intelligence Analyst to support Commercial Operations with rigorous, decision-oriented analytics. The role involves converting complex commercial, marketing, and external data into structured insights, requiring strong Python and SQL skills and a consulting mindset.
Key Skills for This Role
Responsibilities
- Structure ambiguous business questions into clear analytical problem statements, hypotheses, and workplans
- Design and deliver dashboards, scorecards, and analyses that track commercial performance and surface actionable insights
- Define, document, and standardize KPIs to ensure consistent measurement across sales, marketing, and commercial operations
- Extract, integrate, and transform data from internal systems and external sources using APIs, automated scripts, and web based tools
- Support scalable ETL workflows that combine commercial, scientific, and market data into reliable analytical datasets
- Apply statistical and analytical techniques to support forecasting, segmentation, and performance diagnostics
- Prepare and deliver executive ready presentations that synthesize insights, trade offs, and recommendations
Requirements
- BS or MS in Data Science, Bioinformatics, Computer Science, Engineering, Business, Economics, or a related quantitative field
- Strong proficiency in Python, including pandas and NumPy
- Experience extracting and integrating data via APIs and web based tools such as Beautiful Soup or Selenium
- Working knowledge of SQL
- Experience in management consulting, internal strategy, or analytics heavy advisory roles is strongly preferred
Full Job Posting
Job Summary
- Zymo Research is seeking a Business Intelligence Analyst to support Commercial Operations with rigorous, decision oriented analytics.
- This role is accountable for converting complex commercial, marketing, and external data into structured insights that inform leadership decisions.
Key Responsibilities
- Structure ambiguous business questions into clear analytical problem statements, hypotheses, and workplans.
- Design and deliver dashboards, scorecards, and analyses that track commercial performance and surface actionable insights.
- Define, document, and standardize KPIs to ensure consistent measurement across sales, marketing, and commercial operations.
- Analyze trends, drivers, and variances, with a focus on explaining implications, not just reporting results.
- Conduct ad hoc analyses and deep dives to support strategic decisions, performance reviews, and opportunity prioritization.
- Extract, integrate, and transform data from internal systems and external sources using APIs, automated scripts, and web based tools.
- Support scalable ETL workflows that combine commercial, scientific, and market data into reliable analytical datasets.
- Automate recurring analyses and reporting to improve efficiency, consistency, and scalability.
- Apply disciplined data governance practices to ensure accuracy, transparency, and reproducibility.
- Apply statistical and analytical techniques to support forecasting, segmentation, and performance diagnostics.
- Leverage Python based workflows for analysis, automation, and reporting.
- Build lightweight tools or applications to support internal analytics use cases where appropriate.
Qualifications
- BS or MS in Data Science, Bioinformatics, Computer Science, Engineering, Business, Economics, or a related quantitative field.
- Experience in management consulting, internal strategy, or analytics heavy advisory roles is strongly preferred.
- Experience in commercial analytics, life sciences, or scientific data environments is a plus.
- Strong proficiency in Python, including pandas and NumPy.
- Experience extracting and integrating data via APIs and web based tools such as Beautiful Soup or Selenium.
- Working knowledge of SQL.
- Familiarity with web frameworks (e.g., Flask or Django) and containerization tools such as Docker is a plus.
- Exposure to graph based data models or network style analysis is beneficial but not required.
- Demonstrated ability to structure open ended problems and develop clear, defensible analytical approaches.
- Proven experience presenting analyses and recommendations to senior or executive stakeholders.
- Strong business judgment and ability to connect data to commercial outcomes.
- High attention to detail, intellectual rigor, and comfort operating with imperfect information.
Compensation, Benefits, And Perks
- Estimated base compensation range: $75,000 $125,000 annually.
- Medical, Dental, Vision, and Life Insurance Coverages.
- EAP Sessions.
- Vacation Time plus Company Holidays.
- Paid Sick Leave.
- Generous 401(K) with matching.
- Employee Referral Bonus.
- Complimentary fruit, snacks, and beverages.
- Complimentary catered lunches on Thursdays.
- Complimentary EV Charging.
- Cell phone stipend.
Location
- Onsite – Zymo Research Operations –2911 Dow Ave., Tustin, CA 92780
About Us
- Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high quality research tools and products.
- Recognized as a Top Workplace by the Orange County Register in 2021, 2022, and named a Top Workplace USA in 2023.
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