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Director Data Analytics Biotech Jobs in Colorado

Manager, Analytics

Denver, CO · On-site

$99K - $124K/yr

This role will report to the Senior Director, Enterprise Analytics. The Day to Day * Lead, mentor, and develop a team of data analysts focused on delivering enterprise-level analytics solutions ...

The role will report to the Director, Insights & Analytics and upon joining, will work with the Director to develop and implement a plan for managing data, analytics, and reporting for the business.

The ideal candidate is a hands-on, self-directed analyst with strong expertise in SQL, Excel, and Tableau , along with experience using Alteryx for data preparation and transformation. This ...

The ideal candidate is a hands-on, self-directed analyst with strong expertise in SQL, Excel, and Tableau , along with experience using Alteryx for data preparation and transformation. This ...

Data Analyst

Brighton, CO · On-site

$110K - $130K/yr

About Zero Carbon Systems Zero Carbon Systems (ZCS) is a clean energy and direct air capture ... This data analyst will work closely with our Lead Data Analyst to collect, filter, and interpret ...

The ideal candidate is a hands-on, self-directed analyst with strong expertise in SQL, Excel, and Tableau , along with experience using Alteryx for data preparation and transformation. This ...

... Analytics, Operations Research, Finance, Engineering, etc. ALTERNATE EXPERIENCE General comment on ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Minimum 4 years in direct patient care, 2 years in clinical applications support. Experience with EHR systems (Cerner preferred), data abstraction, analytics, and reporting tools. Strong analytical ...

Showing results 21-40

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 Colorado? For Director Data Analytics Biotech jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Director Data Analytics Biotech jobs? Cities in Colorado with the most Director Data Analytics Biotech job openings:

$75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago


University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

142nd of 617 rated colleges and universities


Job description

IDEA Senior Data Analyst

Office of Institutional Data, Effectiveness, and Analytics


Elevate Your Career at UCCS: Innovate, Inspire, and Impact in the Rockies!

Who We Are

The University of Colorado Colorado Springs (UCCS) is a premier educational institution that prides itself on academic excellence, research, and community engagement and is actively seeking a Senior Data Analyst to join our team! UCCS is committed to academic excellence, professional development, and fostering an environment that supports innovation and student success.

At the base of the Rocky Mountains, Colorado Springs is captivated by its stunning landscapes, making it a paradise for nature lovers. This city is more than its scenery-a mosaic of history, arts, and a vibrant tech scene. We invite you to join a community that cherishes outdoor adventure as much as forward-thinking growth, an exceptional setting for both career and lifestyle.

Salary Range: $ 62,540.00 - $75,000.00 annually. Compensation will be commensurate upon experience and qualifications. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions.

Work Location: Hybrid

Benefits at a Glance

At UCCS, our employees are our most valued asset. We're proud to offer:

  • Generous Time Off: Enjoy 22 vacation days, 10 sick days, paid parental leave, 13 recognized holidays, and provisions for bereavement, jury duty, and FAMLI Leave.
  • Robust Health Coverage: Our comprehensive medical plans cover preventative care at no cost, including a yearly mental health visit. Plus, benefit from affordable dental, vision plans, and competitive prescription drug prices.
  • Financial & Retirement Benefits: Take advantage of our health savings, flexible spending accounts, and life and disability insurance. Plan for your future with our retirement options.
  • Further Your Education: Avail twelve (12) waived credits per academic year for courses at any CU campus. We invest in your educational and professional growth.
  • Wellness & More: From wellness programs aimed at achieving your best self to various additional benefits through CU Advantage, we prioritize well-being and holistic development.
  • Want to know your total compensation? Use our calculator to get the complete picture!

Summary

The IDEA Senior Data Analyst is a technical expert and strategic analyst within the Office of Institutional Data, Effectiveness, and Analytics (IDEA) and is responsible for advanced dashboard design, data analytics, and institutional data governance initiatives. The incumbent leads complex data projects and partners with campus leaders to transform data into actionable insight supporting student success, resource planning, and institutional effectiveness.

Reporting to the Director of IDEA, the Senior Data Analyst provides mentorship to analysts and helps shape a data-informed culture at UCCS through consultation, documentation, and collaboration.

Essential Functions

The duties and responsibilities of the position include, but are not limited to:

  • Data Validation (25%)- Assesses the quality and accuracy of data used by IDEA and attempts to identify root causes of any inconsistencies. Collaborates with appropriate campus data stewards and custodians to resolve the concerns. Results are documented to ensure data definitions, metrics, and business rules are aligned with institutional data governance policies. Data may be institutional or external datasets, may include quantitative or qualitative (survey) data, and may require additional data modeling and warehousing efforts in partnership with other data stewards. 

  • Query Building (20%)- Creates and refines queries that can pull updated and accurate information from various data sources (e.g., People Soft/Campus Solutions, CU Central Information Warehouse, Slate, Qualtrics) to be used by others or in various data reports or visualizations.

  • Report Generation and Data Visualizations (45%)- Builds and maintains robust, scalable reports and dashboards to support data-informed decision-making at all levels of the institution. These projects may require collaboration with senior leaders and stakeholders across Student Success, Academic Affairs, and Administration and Finance to ensure resulting reports and visualizations are applicable and meaningful to users.

  • Mentoring and Training (10%)- Mentors junior analysts and provides training or guidance in best practices for data analysis and visualization within IDEA or with campus data users. 

The job duties and percentages listed are ty pical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without  hanging the general nature and scope of the job or level of responsibility.  You may be required to perform other duties as assigned. 

Tentative Search Timeline

  • Priority will be given to applications submitted by: July 24, 2026
  • Potential interview dates: July 27, 2026 - July 31, 2026
  • Potential start date: August 11, 2026

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices.

  • A bachelor's degree in a relevant field (e.g., data science, social science, education, business analytics) or substitution of year-for-year experience in data analysis, institutional research, business intelligence, or related field is required.
  • Experience analyzing data and generating reporting to support decision and improve outcomes in an organizational setting is required.
  • A master's degree in a related field (e.g., education research, data analytics, economics, statistics, public policy) or substitution of year-for-year experience for the degree, is preferred.
  • Experience leading research or assessment initiatives in a university setting is highly desirable.
  • Familiarity with UCCS systems such as Campus Solutions/PeopleSoft, Oracle, Cognos, Tableau, Ad Astra, Slate, StarRez, and the CU Data Governance framework is highly desirable.
  • Evidence of contributions to fostering data culture or improving institutional data processes is desired.

The University of Colorado Colorado Springs has implemented a misconduct history check program with respect to final candidates for specific appointments. The misconduct history check program is intended to allow UCCS to collect and review information about a candidate's conduct at their previous institutions, specifically conduct related to sexual misconduct, harassment, and/or discrimination - before making hiring decisions. All final candidates to these appointments are required to complete an Authorization to Release Information and provide contact information for their previous institutions.

Note: This job description outlines this role's general responsibilities, qualifications, and physical requirements at UCCS. It is not an exhaustive list of all required duties, responsibilities, and qualifications. The university reserves the right to modify, add, or remove duties and responsibilities as needed to meet the university's needs.


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