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Director Data Analytics Biotech Jobs in Seattle, WA

Liberty Mutual

Director, Data Science

Seattle, WA · On-site +1

Using advanced predictive analytics and statistical modeling, we build and refine rating programs ... The Director II, Data Science is a frontline manager role reporting to the Specialty Senior ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Strong analytical, strategic thinking, and problem-solving skills. * Experience using AI-assisted ...

Hasbro

Data Analytics Manager

Renton, WA · On-site

Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to ... Self-directed, ability to drive projects to completion and proactively communicate timelines and ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Uw

Director of Data, Planning & Analytics

Seattle, WA · On-site

Direct a team of data and analytics professionals responsible for report development, data analysis, and BI analytics solution delivery, ensuring effective resource allocation and alignment with ...

Hasbro

Director Analytics WOTC

Renton, WA · Hybrid

As Director of Analytics, you will lead the vision, strategy, and execution that transform data ... Define the unified data architecture across our eCommerce platform and integrated systems.

Hasbro

Director Analytics WOTC

Renton, WA · On-site

As Director of Analytics, you will lead the vision, strategy, and execution that transform data ... Define the unified data architecture across our eCommerce platform and integrated systems.

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All JobsData Analytics Biotech JobsDirector Data Analytics Biotech JobsDirector Data Analytics Biotech Jobs in Seattle, WA

Director Data Analytics Biotech information

See Seattle, WA salary details

$61.5K

$176.3K

$277.7K

How much do director data analytics biotech jobs pay per year?

As of Aug 28, 2026, the average yearly pay for director data analytics biotech in Seattle, WA is $176,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $215,700.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Director Data Analytics Biotech jobs in Seattle, WA?

For Director Data Analytics Biotech jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Director Data Analytics Biotech jobs in Seattle, WA look for?

The top searched job categories for Director Data Analytics Biotech jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Director Data Analytics Biotech jobs?

Cities near Seattle, WA with the most Director Data Analytics Biotech job openings:

Director Data Analytics Biotech jobs near you
Infographic showing various Director Data Analytics Biotech job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $176,250 per year, or $84.7 per hour.

Director, Data Analytics - Inventory Operations

Seattle, WA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$180 - $240/hr

Other

Posted 12 days ago

Job description

  • Lead the integration of the Inventory Operations Data Analytics teams into one organization with a shared roadmap, shared prioritization process, and clear ownership and expectations.
  • Build and defend a unified data strategy for Inventory Operations: the pipelines and architecture that make data trustworthy, and the reporting and visualization layer that makes it usable by decision-makers who are not analysts.
  • Lead a combined organization of 10-15 team members, including a Manager of Data Analytics and individual contributors.
  • Balance team leadership with execution to deliver high-quality results while hiring, developing, and retaining a high-performing team.
  • Manage the weekly and monthly business review process for inventory data, including the metrics, the follow-up mechanism, and the discipline to keep it decision-focused rather than a status readout.
  • Identify root causes through analytics and either drive the fix directly or work through the accountable partner to make the improvement repeatable and scalable, rather than a one-time solve.
  • Reduce manual reporting load across the combined team by pushing toward automated, self-serve data products, and be explicit with your team and stakeholders about where AI and automation change how work gets done.
  • Represent Inventory Operations data capability in cross-functional forums with Merchandising and Technology partners and escalate risks and tradeoffs to leadership before they become surprises.
  • Establish a positive work environment conducive to collaboration and teamwork.
  • Ensure team has the tools, resources, and information they need to be successful.
  • Strategize with leadership to overcome potential stumbling blocks and resistance.
Requirements
  • 8+ years of relevant experience with 3+ years leading teams, including direct leadership of both analytics/BI and data engineering functions, or demonstrated fluency in managing both.
  • A track record of building highly functioning teams and leading through change
  • Working fluency in both technical languages: BI and visualization tools (Tableau, Looker, or similar) and data engineering fundamentals (SQL, Python, ETL/ELT, cloud data warehousing, pipeline architecture).
  • Outstanding executive communication and storytelling skills, with the judgment to know when a data engineering constraint needs to be translated into business terms for a non-technical audience.
  • Strong analytic and root-cause skills paired with the ability to demonstrate the value of a solution, not just diagnose the problem.
  • A history of building trust across functions and strong collaboration and influence skills.
  • Comfort holding teams accountable to a shared standard and setting clear expectations across the team.
  • Experience leading a mixed structure, some direct reports who are individual contributors and at least one who is a people manager, and a clear point of view on when a discipline needs its own management layer versus when it doesn't.
  • Bachelor's degree or higher in Computer Science, Analytics, Supply Chain/Logistics, Business Administration, Economics, or a related field, or equivalent experience.
  • Retail or supply chain experience strongly preferred, given the operational stakes of inventory decisions on customer experience.
Core Competencies

Demonstrates expertise in leading data analytics and engineering teams, with a focus on building trust, collaboration, and high-performance standards. Proficient in developing data strategies that enhance decision-making through effective reporting and visualization.

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