1

Analytics Director Jobs in Indiana (NOW HIRING)

Director of Supply Chain Analytics

Evansville, IN · On-site

$173.50K - $196.40K/yr

Collaborating across the organization, the Director will lead a team of three data scientists and analysts who transform data into actionable insights and guide teams through complex change ...

Director of Supply Chain Analytics

Evansville, IN

$173.50K - $196.40K/yr

Collaborating across the organization, the Director will lead a team of three data scientists and analysts who transform data into actionable insights and guide teams through complex change ...

New

next page

Showing results 1-20

Analytics Director information

See Indiana salary details

$67.6K

$150.5K

$232.7K

How much do analytics director jobs pay per year?

As of May 28, 2026, the average yearly pay for analytics director in Indiana is $150,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $171,300.00 per year, depending on experience, location, and employer.

What Does an Analytics Director Do?

An analytics director oversees the data analytics and data warehousing departments at a company. As an analytics director, you take the lead on all data analytics systems and ensure your department aligns with the company’s priorities. You research and develop strategies to improve the analytics of your company. You collaborate with your team along with other members of your company’s senior leadership to influence data capabilities and competencies in the company. Your responsibilities include adopting appropriate tools and software to drive innovation. Other duties include staying informed on the latest industry trends in data analytics.

What are the key skills and qualifications needed to thrive as an Analytics Director, and why are they important?

To thrive as an Analytics Director, you need strong analytical abilities, expertise in statistical methods, advanced data modeling, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are common requirements. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional projects and translate complex data into actionable insights for stakeholders. These skills and qualities are essential to effectively lead analytics teams, influence business decisions, and deliver measurable value to the organization.

What are some common challenges faced by an Analytics Director and how can they be addressed?

Analytics Directors often encounter challenges such as aligning analytics initiatives with overall business goals, managing and integrating data from multiple sources, and communicating complex findings to non-technical stakeholders. To address these, it's important to foster close collaboration with business leaders, invest in scalable data infrastructure, and develop strong communication skills within the analytics team. Building a culture of data-driven decision-making and continuous learning also helps overcome these obstacles and ensures the analytics function delivers real value.

What is the difference between Analytics Director vs Data Scientist?

AspectAnalytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often prefers experience over certificationsBachelor's or Master's in Computer Science, Statistics, or related fields; may have certifications like Certified Analytics Professional
Work EnvironmentLeads analytics teams, collaborates with executives, oversees strategyAnalyzes data, builds models, and develops algorithms, often working independently or in small teams
Employer & Industry UsageCommon in corporate, finance, marketing, and consulting firmsFound in tech companies, research institutions, and data-driven industries

The Analytics Director focuses on leading analytics strategies and managing teams, while Data Scientists primarily analyze data and develop models. Both roles require strong analytical skills, but the Director has a broader leadership and strategic focus.

What are the most commonly searched types of Analytics jobs in Indiana? The most popular types of Analytics jobs in Indiana are:
What are popular job titles related to Analytics Director jobs in Indiana? For Analytics Director jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Analytics Director jobs? Cities in Indiana with the most Analytics Director job openings:
Infographic showing various Analytics Director job openings in Indiana as of May 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $150,457 per year, or $72.3 per hour.
Director of Data Analytics

Director of Data Analytics

Indiana Wesleyan University

Indianapolis, IN • On-site, Remote

Full-time

Posted 13 days ago


Indiana Wesleyan University rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

49th of 528 rated colleges and universities


Job description

Director of Data Analytics
Job no: 495051
Work type: Administrative (Full Time)
Location: Indianapolis, IN, Marion, IN, Hybrid (2 Office / 3 Remote), Remote (within United States), Other
Categories: Administrative/Professional
Job Title: Director of Data Analytics
Reporting Relationship: VP of Learner Success
Unit: National & Global
Department: Dept. of Learner Success-National & Global
Campus Location: Hybrid Schedule (1 day / month Onsite either at Indianapolis Ed Center or Marion, IN campus; the remaining time fully remote).
Summary of Position: The Director of Data Analytics serves as the Strategic Lead for data-driven retention interventions and intervention science within National & Global. Reporting directly to the Vice President of Learner Success, this individual contributor role is responsible for transforming complex student data from the institutional data lake into validated, causal insights that directly improve persistence and completion outcomes for adult online learners.
This position is distinguished by its focus on establishing causality in retention research. The Director applies advanced statistical approaches to move the division from descriptive dashboards to prescriptive, evidence-based action, functioning as the lead practitioner for "Actionable Analytics."
Duties and Responsibilities
  • Intervention Science and Causal Modeling
    • Leads the application of "gold standard" statistical methodologies to establish the causal efficacy of retention interventions
    • Designs and executes quasi-experimental studies using Propensity Score Matching (PSM) to simulate randomized control trials
    • Employs Survival Analysis (time-to-event modeling) to identify critical "danger zones" within the academic term where students are most likely to disengage
    • Utilizes Multi-level Modeling (MLM) to distinguish between student-level factors and systemic programmatic issues
    • Applies Structural Equation Modeling (SEM) to map relationships between latent psychosocial variables and observed outcomes like GPA and course completion
  • Student Success Intelligence Brief Publication
    • Serves as the primary author and strategist for the "Student Success Intelligence Brief," published every six weeks
    • Translates complex statistical findings into clear, actionable steps for faculty and leadership across the DeVoe School of Business, the School of Education, and the School of Service and Leadership
    • Provides high-level, program-segmented analysis of retention trends and provides "Go/No-Go" recommendations for scaling pilot initiatives
  • Psychosocial Metric Development and Validation
    • Operationalizes the integration of non-cognitive measures (Sense of Belonging, Academic Self-Efficacy, Help-Seeking Orientation) into the institutional data model
    • Develops and validates proprietary predictive scales that combine traditional academic indicators with psychosocial factors
    • Ensures that psychosocial triggers are embedded into CRM case records to enable targeted resource referrals by advisors
  • Data Integration and CRM/AI Collaboration
    • Serves as the primary functional liaison to IT and Salesforce teams to access and integrate data from the institutional data lake
    • Defines data requirements and validates data quality for the "Student Insights Agent" and other Agentic AI workflows
    • Ensures that early alert thresholds and "Next Best Action" prompts in Salesforce are grounded in empirically validated retention science rather than arbitrary rules
  • External Benchmarking and Thought Leadership
    • Benchmarks institutional retention outcomes against national standards for online adult learners (IPEDS, National Student Clearinghouse)
    • Represents the institution at national conferences (e.g., EDUCAUSE, AIR) to contribute to the scholarly conversation on student success science

Qualifications: According to Indiana Wesleyan University employment policy all employees must possess a strong Christian commitment and adhere to the standards outlined in the IWU Community Lifestyle Statement.
Education
  • Required: Master's degree in Data Science, Business Analytics, Statistics, Quantitative Psychology, or a related quantitative field
  • Preferred: Doctoral student (ABD - All But Dissertation) with a focus on causal inference, higher education research, or intervention science

Experience
  • Five or more (5+) years of progressive experience in data science, institutional research, or student success analytics
  • Proven track record of establishing causal relationships in educational or behavioral research
  • Experience working with adult learner populations in online or distance learning environments
  • Experience with CRM platforms (Salesforce Education Cloud strongly preferred)

Required Skills
  • Expert-level proficiency in PSM, Survival Analysis, MLM, and SEM
  • Advanced programming skills in R or Python for data manipulation and modeling
  • Proficiency in SQL and experience querying large, complex educational databases/data lakes
  • Strong ability to translate complex data into "Intelligence Briefs" for non-technical executive audiences

IWU Kingdom Diversity Statement
IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.
LIMITATIONS AND DISCLAIMER
As a religious educational institution operating under the auspices of The Wesleyan Church, Indiana Wesleyan University is permitted and reserves the right to prefer employees on the basis of religion (42 U.S.C., Sections 2000e-1 and 2000e-2).
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
Advertised: 15 May 2026 US Eastern Daylight Time
Applications close: 21 Jun 2026 US Eastern Daylight Time
Whatsapp Facebook LinkedIn Email App

What Indiana Wesleyan University employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom