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Director Data Analytics Biotech Jobs in Utah (NOW HIRING)

This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Data Analyst

Lehi, UT ยท On-site +1

Five or more years of professional experience in data analytics, analytics engineering, business ... Preferred experience working with e-commerce, direct-to-consumer, education, publishing ...

The data layer across our ecommerce and marketing channels has real gaps: incomplete tagging ... The Director of Analytics serves as a shared resource across marketing teams -- ensuring that ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... days are directed by their agency or manager. Our objective is to increase this requirement ...

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Director Data Analytics Biotech information

What are the key skills and qualifications needed to thrive as a director of data analytics in biotech, and why are they important?

To thrive as a Director of Data Analytics in Biotech, you need advanced expertise in data science, statistical analysis, and a strong foundation in life sciences, typically supported by a relevant advanced degree (e.g., PhD, MS). Familiarity with tools like Python, R, SQL, cloud computing platforms, and experience with data visualization and bioinformatics systems are essential, along with relevant certifications in data analytics or project management. Strong leadership, strategic thinking, and effective communication skills help you translate complex data into actionable insights and foster cross-functional collaboration. These competencies are critical for driving data-driven decision-making and innovation in a highly regulated, research-focused biotech environment.

What are the typical challenges faced by a director of data analytics in the biotech industry, and how is success measured in this role?

A Director of Data Analytics in biotech often navigates challenges such as integrating complex datasets from various sources, ensuring data integrity, and translating analytics into actionable insights for research and business teams. Success in this role is typically measured by the ability to drive data-informed decision-making, improve efficiency in research pipelines, and support regulatory compliance through robust data practices. Additionally, effective leadership of cross-functional teams and fostering a culture of data literacy across the organization are key indicators of success.

What is the difference between Director Data Analytics Biotech vs Data Scientist Biotech?

AspectDirector Data Analytics BiotechData Scientist Biotech
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceTypically Master's or PhD in Data Science, Statistics, or related field
Work EnvironmentStrategic leadership, team management, cross-department collaborationHands-on data analysis, model development, coding, and experimentation
Employer & Industry UsageBiotech companies, research institutions, pharma firmsBiotech firms, research labs, healthcare startups

The main difference is that the Director Data Analytics Biotech focuses on strategic oversight, team leadership, and aligning analytics with business goals, while the Data Scientist Biotech is more involved in technical data analysis, modeling, and coding tasks. Both roles require strong analytical skills and industry knowledge, but the director position emphasizes management and strategic planning.

What does a director of data analytics do in the biotech industry?

A Director of Data Analytics in biotech leads teams that analyze large and complex biological and clinical datasets to support research, product development, and business decisions. They design data strategies, oversee data management, and implement analytics tools to extract meaningful insights from scientific data. Their work often supports areas like drug discovery, clinical trials, and market analysis, ensuring data-driven decisions throughout the organization. This role requires a strong background in both biotech and advanced analytics, as well as leadership skills to manage cross-functional teams.
What are popular job titles related to Director Data Analytics Biotech jobs in Utah? For Director Data Analytics Biotech jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Director Data Analytics Biotech jobs? Cities in Utah with the most Director Data Analytics Biotech job openings:

Director of Data Analytics

HydroJug

Ogden, UT โ€ข On-site

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

REPORTS TO VP of Systems (Jordan Brandley)

Ogden, UT | On-Site | Reports to VP of Systems (Jordan Brandley)


ABOUT THE ROLE

The Data Lead owns the BI & Data function end to end. You will build and govern a brand-aware data platform โ€” one BigQuery environment, segregated by brand, governed for trust โ€” that every team in the company depends on. This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst for Marketing/Sales.


Finance has historically been under-served by data โ€” getting them fully in the loop on current numbers is a primary mandate of this role. You will partner directly with CFO Aaron Davis and the Director of Planning & S&OP to align data inputs with business cadences.


RESPONSIBILITIES

  • Data Platform Architecture โ€” BigQuery schema design, brand segmentation strategy, data pipeline oversight, and data warehouse governance
  • Analytics Service Delivery โ€” Ensure every team has timely, trusted data; manage analyst capacity against cross-functional demand
  • Data Quality & Governance โ€” Partner with Manish Raghunathareddy (Data Quality, filled) to establish data standards, documentation, and monitoring
  • Finance Data Partnership โ€” Build brand-dimensioned P&L views, FP&A inputs, and inventory accounting data products in partnership with the CFO's team
  • Team Leadership โ€” Hire, develop, and manage three open analyst seats; define team processes, prioritization, and delivery standards
  • Tooling & Stack โ€” Own the analytics stack (BigQuery + Looker/Tableau or equivalent); drive adoption of a semantic layer for self-serve BI
  • Cross-Functional Roadmap โ€” Represent data capability on the Systems roadmap; partner with the BI Developer/Dashboard Engineer to translate data into operating dashboards


QUALIFICATIONS

  • 6+ years in analytics, data engineering, or BI roles with 2+ years leading a data team or function
  • Hands-on expertise with BigQuery (or comparable cloud DW) โ€” schema design, query optimization, pipeline management
  • Experience supporting multi-brand or multi-channel ecommerce analytics at scale (DTC + wholesale preferred)
  • Strong fluency in financial data: P&L construction, FP&A inputs, cost accounting structures
  • Proficiency with Looker, Tableau, or a comparable BI/visualization layer
  • Demonstrated ability to build data governance practices โ€” documentation, data dictionaries, quality monitoring
  • Experience hiring and developing analysts
  • Clear, direct communication with non-technical stakeholders (Finance, Ops, Marketing)


ABOUT HYDROJUG, INC.

HydroJug, Inc. is a consumer brand headquartered in Ogden, Utah, designing and selling premium hydration and lifestyle products through direct-to-consumer and major retail channels.