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Director Data Analytics Biotech Jobs in Utah (NOW HIRING)

Data Analyst - API

South Jordan, UT · On-site

$90 - $140/hr

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... This role has direct impact on dealer-facing data integrity: the integrations this person builds ...

New

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... This role has direct impact on dealer-facing data integrity: the integrations this person builds ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... This role has direct impact on dealer-facing data integrity: the integrations this person builds ...

Work with Pricing Analytics leadership to design, prototype, develop and execute econometric models ... Follow legal policies as directed. Job Requirements Must-Have Qualifications * Bachelor's degree ...

Data Clerk

Provo, UT · On-site

$15 - $18/hr

Senior Director of Data, Enrollment & ComplianceDepartment: Operations / Data & CompliancePosition ... Strong analytical and problem-solving skills.Ability to identify and resolve data discrepancies.

... analytics and reporting needs. * Pipeline Automation: Architect and automate data pipelines that ... Direct experience in Semiconductor Sales Ops (managing Backlog, Billing, Pipeline, and Forecast ...

Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ... Minimum 1 year of representative accounting experience whether implementing systems, or any direct ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ... Conducts work assignments as directed. Closely supervised with little latitude for independent ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Showing results 41-60

Director Data Analytics Biotech information

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 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:

Data Analyst - IC 2

Bed Bath and Beyond

Salt Lake City, UT • On-site

Full-time

Retirement

Posted 21 days ago


Bed Bath & Beyond rating

5.9

Company rating: 5.9 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

45th of 63 rated furniture retailers


Job description

We Go Beyond:
At Bed Bath & Beyond, we believe that everyone should "Be You!". Bed Bath & Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person's individuality, traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more inclusive environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.
Pricing Data Analysts are expected to take on special long-term projects aimed at solving key business problems, investigating new opportunities, redesigning existing processes, and enhancing operational processes.
In this role, you will specifically support Bed Bath & Beyond's pricing and promotional optimization and strategy, build algorithms to implement strategy at a large scale, develop econometric/mathematical/statistical models to drive conversion and revenue, explore and analyze various datasets using data manipulation and statistical software programs. You will be expected to keep up with industry standards, doing literature reviews, as well as developing new techniques.
The Pricing Data Analyst will have the opportunity to work with a large array of data (sales, price, customer, website, etc), tools, and technologies (Python, RStudio, BigQuery, Micro Strategy, Excel, etc.)
Job Responsibilities
  • Work with Pricing Analytics leadership to design, prototype, develop and execute econometric models for data driven price optimization techniques.
  • Take initiative, apply critical thinking, and drive creative solutions that add measurable business value.
  • Rapidly learn and understand Bed Bath & Beyond's business, data, and table structure with little direction.
  • Lead and contribute to complex pricing projects with minimal oversight.
  • Build, implement and maintain pricing algorithms on complex datasets.
  • Design, run and monitor price tests to evaluate new hypotheses and new strategic initiatives.
  • Translate complex model results into clear business insights and recommendations.
  • Develop and maintain pricing tools and Python scripts to automate pricing processes.
  • Analyze business data to identify pricing opportunities that drive revenue and profitability.
  • Validate, test, and iterate on models to ensure performance and accuracy.
  • Evaluate alternative strategic approaches and recommend optimal pricing decisions.
  • Collaborate cross-functionally with marketing, product, and operations to implement solutions.
  • Communicate insights clearly to senior managers and stakeholders.
  • Perform additional duties as assigned.
  • Follow legal policies as directed.

Job Requirements
Must-Have Qualifications
  • Bachelor's degree (or U.S. equivalent in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or related field) and 2+ years of post-collegiate work experience conducting data analysis or PhD in a quantitative field.
  • Experience with SQL to extract and manipulate large datasets.
  • Experience with at least one modeling framework (e.g: SciKit Learn, SAS, R, MATLAB)
  • Knowledge in statistics and mathematical concepts (e.g: hypothesis testing, regression)
  • Experience creating and telling stories from data.
  • Excellent communication skills and experience with cross-team collaboration.
  • Experience initiating and driving projects to completion with minimal guidance.
  • Experience creating and telling stories from data including the use of visualization tools like Tableau, Power BI, or Microstrategy.
  • Experience using Microsoft Suite Tools (including Word, PowerPoint and Excel).

Nice-to-Have Qualifications
  • Experience in the online retail industry.
  • Experience building, implementing and maintaining pricing algorithms on complex datasets.
  • Experience conducting price tests and utilizing statistical methods to measure the performance of new pricing initiatives.
  • Experience automating analyses and manual processes via SQL and Python scripts.
  • Experience designing, developing and maintaining Python scripts to automate manual processes.
  • Experience communicating data analysis findings to executive leadership.

Education
Bachelor's degree (or U.S. equivalent in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or related field) or PhD in a quantitative field.
Physical Requirements
This position requires the incumbent to sit, stand and perform general office functions. The incumbent may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.
Equal Employment Opportunity It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.
Who We Are:
We're a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.
What We Offer:
  • 401k (6% match)
  • Flexible Schedules
  • Tuition Reimbursement, Leadership Development Program, & Mentorship Program
  • Employee Resource Groups (LatinX, Black Employee Network, LGBTQIA+, Women's Network, Women In Tech)
  • And More...

*Benefits vary based on position, tenure, location, and employee election
Physical Requirements:
This position requires you to sit, stand and perform general office functions. You may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.
Equal Employment Opportunity:
It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.
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