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Director Data Analytics Biotech Jobs in Indiana (NOW HIRING)

Director, Data Architecture Reports to: Chief Digital & Data Officer Location: United States ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Job Title: Director, Data Governance Reports to: Chief Digital & Data Officer Location: United ... analytics initiatives. Your work will empower the business to make data-driven decisions with ...

Up to 25 percent, with heavier travel expected during onboarding and key initiatives Department : FP&A / Data Analytics Reports To: Sr. Director of FP&A Position Overview As a Data Analytics Manager ...

Lead and mentor a small team of data and analytics engineers while setting coding and review ... Experience with Direct-to-Consumer and commerce analytics environments. * Experience optimizing ...

Director, Data Architecture Location: United States (Remote) Interested applicants must reside in ... Your work will enable trusted data products, analytics, operational reporting, and future AI use ...

Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded Analysts across business units who translate data into action at the point of need What You'll Own ...

ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of ...

Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of government ...

ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of ...

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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.
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What job categories do people searching Director Data Analytics Biotech jobs in Indiana look for? The top searched job categories for Director Data Analytics Biotech jobs in Indiana are:
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Director, Data Analytics and Reporting

Hillenbrand

Indianapolis, IN • On-site, Remote

Full-time

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


Hillenbrand rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

174th of 487 rated machine equipment manufacturers


Job description

The Director, Data Analytics and Reporting leads the data strategy, reporting capabilities, and analytics function to drive informed business decision-making. This role is responsible for developing enterprise-wide reporting frameworks, data governance standards, performance metrics, and analytical solutions that support strategic objectives. The Director partners closely with executive leadership and business stakeholders to transform data into actionable insights, improve operational effectiveness, and enable data-driven culture across the organization.
Key Responsibilities
  • Develop and execute data analytics and reporting strategy aligned with business goals.
  • Manage disparate ERP environment, using Databricks as the data warehouse, to report on key data, and tying out to OneStream.
  • Partner with IT to design systems and stabilize data feeds; work with business owners to ensure data is cleansed, consistent, usable.
  • Lead initiatives to enhance data quality, reporting automation, and self-service analytics capabilities.
  • Establish and monitor enterprise-wide key performance indicators (KPIs), scorecards, and reporting standards. Near-medium term reporting focus: Global orders, spend cube, inflation tracker, price realization, 80/20 quads by BU, POC project execution, production cycle times, 13 week cash flow forecasts, on-time-delivery.
  • Drive the adoption of advanced analytics, predictive modeling, and data visualization capabilities.
  • Support diligence, including sell-side QoE work on P/V/Fx bridges, price and inflation trends, selectivity.
  • Partner with IT on internal AI initiatives, including functional efficiency, reporting enhancements, process improvement, and cost productivity.
  • Support ad-hoc business and enterprise initiatives as needed.

Reporting
Reporting to the Chief Accounting Officer, the Director is responsible for managing 1-2 direct reports and a much larger group of indirect stakeholders across the business.
Education
  • Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science or Finance
  • MBA or equivalent advanced qualification preferred

Experience
  • Strong finance background allowing the Director to ensure data ties to financial records, supports financial models, and can be used at various levels of the organization including due diligence without multiple levels of additional finance validation
  • 10 or more years of progressive experience in analytics, business intelligence, reporting or data management
  • 5 or more years of leadership experience managing analytics and reporting teams
  • Advanced knowledge of business intelligence and visualization tools (Power BI, Tableau, Microsoft Fabric, etc)
  • Strong proficiency with data modeling and analytics methodologies
  • Experienced in leveraging AI for productivity and innovation

Who we are:
Hillenbrand (www.hillenbrand.com) is a global industrial company that provides highly engineered, mission-critical processing equipment and solutions to customers in over 100 countries around the world. Our portfolio is composed of leading industrial brands that serve large, attractive end markets, including durable plastics, food, and recycling. Guided by our Purpose - Shape What Matters For Tomorrow™ - we pursue excellence, collaboration, and innovation to consistently shape solutions that best serve our associates, customers, communities, and other stakeholders.
EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us @recruitingaccommodations@hillenbrand.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. At Hillenbrand, everyone is welcome to apply and "Shape What Matters for Tomorrow".

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