Business Intelligence Analyst

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, prioritize initiatives, and improve commercial execution. The ideal candidate brings a consulting mindset to analytics: comfort with ambiguity, strong problem structuring skills, and the ability to translate data into clear recommendations for senior stakeholders. This role operates at the intersection of analytics, commercial strategy, and execution, with direct exposure to executive leadership. Key Responsibilities Commercial Analytics and Insight Development 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. Data Integration and Analytical Infrastructure 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. Advanced Analytics and Tooling 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. Contribute to exploratory use of AI‑enabled tools, including large language models, to accelerate analysis and insight generation. Executive and Stakeholder Engagement Partner closely with Commercial Operations, Marketing, Sales, and leadership to clarify objectives, pressure‑test assumptions, and refine analytical approaches. Prepare and deliver executive‑ready presentations that synthesize insights, trade‑offs, and recommendations. Communicate complex analyses clearly to senior leaders, focusing on business impact and decision relevance. Act as a thought partner to stakeholders, not just a reporting function. Qualifications Education and Professional Background 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. Analytical and Technical Skills 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 (Structured Query Language) or structured data querying. 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. Core Attributes 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. Interest in commercial strategy, revenue operations, and business intelligence. Compensation and Benefits The estimated base compensation range for this position is $75,000 – $100,000 annually at the time of posting. Actual compensation details will be provided in writing at the time of offer, if applicable, and are based on several factors that we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job‑permitted factors. Zymo Research also offers competitive benefits and perks including: Medical, Dental, Vision, and Life Insurance Coverages EAP Sessions Generous 401(K) with matching Employee Referral Bonus Complimentary fruit, snacks, and beverages Complimentary catered lunches on Thursdays Complimentary EV Charging Equal Employment Opportunity Employer Zymo Research welcomes candidates of all backgrounds. These include sex, age, color, race, religion, marital status, national origin, ancestry, sexual orientation, gender, gender identity, gender expression, physical & mental disability, medical condition, genetic information, military and veteran status, or any other protected status as defined by federal, state, or local law. Location Onsite – Zymo Research Operations – 2911 Dow Ave., Tustin, CA 92780 #J-18808-Ljbffr