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Director Predictive Analytics Jobs in Indiana (NOW HIRING)

NiSource

Director Revenue Recovery

Merrillville, IN · On-site

Use advanced and predictive analytics to identify recovery opportunities, revenue risks, high-risk ... Self-directed with the ability to work independently and collaboratively Preferred Qualifications

New

AllSTEM Connections

Project Scheduler

Wheatfield, IN · On-site

$104K - $145K/yr

Key Responsibilities Baseline Development & Predictive Analytics • Integrated Baselines: Develop ... Serve as a subject matter expert for leadership, Directors, and project teams. Communicate complex ...

IRONMARK

Director, IT Infrastructure

New Albany, IN · On-site

... predictive analytics-driven campaigns, branded merchandise, asset management portals, and SOC 2 ... The Director, IT Infrastructure will primarily manage multiple Managed Service Providers (MSPs ...

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All JobsPredictive Analytics JobsDirector Predictive Analytics JobsDirector Predictive Analytics Jobs in Indiana

Director Predictive Analytics information

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

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What does a director of analytics do?

A director of analytics oversees data analysis teams to develop strategies that improve business performance through data-driven insights. They manage analytics projects, interpret complex data, and communicate findings to stakeholders, often using tools like SQL, Python, or Tableau. This role requires strong leadership, statistical knowledge, and experience in predictive modeling and data management.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL, along with strategic decision-making responsibilities.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What skills are needed for predictive analytics?

Predictive analytics professionals need strong skills in statistical analysis, data modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of database management are also essential for success in this role.

Will AI replace big data?

As a Director of Predictive Analytics, you understand that AI enhances big data analysis by automating data processing and improving predictive models. AI tools like machine learning algorithms are used to extract insights from large datasets, but they complement rather than replace the need for big data infrastructure and skilled analysts. Both are essential for effective data-driven decision-making in organizations.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.
What are the most commonly searched types of Predictive Analytics jobs in Indiana? The most popular types of Predictive Analytics jobs in Indiana are:
What cities in Indiana are hiring for Director Predictive Analytics jobs? Cities in Indiana with the most Director Predictive Analytics job openings:
Director Predictive Analytics jobs near you
Director of Business Intelligence

Director of Business Intelligence

Pacers Sports & Entertainment

Indianapolis, IN • On-site

Full-time

Re-posted 4 days ago

Job description

SUMMARY
The Director of Business Intelligence serves as a strategic leader responsible for transforming data into meaningful insights that drive decision making across all Pacers Sports & Entertainment (PS&E) brands. This role blends strong technical expertise with exceptional business acumen to identify trends, uncover opportunities, and guide revenue-generating and efficiency enhancing initiatives.
The ideal candidate is equally comfortable architecting data models as they are presenting concise, actionable insights to executives. They will oversee the acquisition, governance, and enrichment of data assets, ensuring the organization leverages high quality, connected data to inform marketing, ticketing, partnerships, operations, and overall business performance. A key responsibility of this role is upholding data quality as a foundational priority and building trust in data across the organization.
This leader will proactively analyze complex datasets, distill key takeaways, and anticipate the needs of stakeholders across departments. They will champion a data-driven culture: empowering teams with dashboards, predictive models, and strategic recommendations that improve customer understanding, optimize performance, and maximize ROI.
ESSENTIAL DUTIES / RESPONSIBILITIES
  • Apply advanced data modeling, predictive analytics, and statistical techniques to uncover trends, interpret key findings, and translate insights into initiatives that drive measurable business outcomes.
  • Lead the development and deployment of data-driven solutions across the organization, ensuring insights are actionable and embedded into decision-making processes at all levels.
  • Design, build, and maintain enterprise dashboards and analytical reports that track KPIs, monitor performance, and evaluate the ROI of marketing, sales, partnerships, and operational strategies.
  • Own the organization's survey strategy, including the design, deployment, and optimization of surveys that capture customer, fan, partner, and prospect sentiment and behaviors.
  • Synthesize data into actionable insights, delivering clear visualizations and storytelling in strategic presentations that support executive decision-making and cross-department alignment.
  • Analyze full-funnel marketing performance and optimize campaign revenue tracking through direct and influenced revenue across email, SMS, social ads and more to evaluate channel effectiveness, guide optimization decisions and audience curation, and enhance budget allocation strategies.
  • Perform market research and competitive analysis to identify macro trends, benchmark performance, and uncover new opportunities for revenue growth and fan engagement.
  • Lead audience research, predictive modeling, segmentation, and persona development to strengthen targeting, personalization, product strategy, and sponsorship storytelling.
  • Oversee, develop, and mentor analysts, fostering a culture of curiosity, analytical rigor, and continuous improvement within the BI team.
  • Champion data quality, acquisition, and governance, ensuring the organization consistently leverages clean, connected, and enriched data assets.
  • Collaborate cross-functionally with marketing, ticketing, partnerships, finance, operations, and product teams to identify analytical needs and maximize business impact.
  • Oversee target audience creation and net new ingestion and predictive modeling for the Retail Media Network as well as track outcomes and opportunity for growth.
  • Perform other duties and lead strategic projects as assigned.

QUALIFICATION REQUIREMENTS
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and/or EXPERIENCE:
  • Bachelor's degree required, with strong preference for analytics, statistics, computer science, economics, or a related technical discipline.
  • 8+ years of experience in business intelligence, marketing analytics, sales analytics, or similar analytical role.
  • 5+ years of supervisory or team-lead experience, including coaching and developing analysts.
  • Exceptional communication skills, with the ability to translate complex analytical concepts for audiences of all technical levels.
  • Advanced SQL proficiency, including multi-table joins, subqueries, and performance-optimized querying.
  • Strong grounding in data mining and data engineering principles, including predictive analytics, data mapping, and integrating on-premises and cloud-based data sources.
  • Hands-on experience with statistical modeling techniques, such as GLM, logistic regression, variable selection, and other predictive methods.
  • Experience writing advanced SAS code, including complex models, macros, and automation workflows.
  • Proficiency with Qualtrics and experience integrating survey data into CRM systems to enrich customer profiles.
  • Technical competency with statistical tools (Excel, R, or similar) and data visualization platforms (Tableau, Power BI, or equivalent).
  • Demonstrated experience working collaboratively across diverse business units, such as marketing, sales, partnerships, finance, and operations.
  • Experience in sports or entertainment industries is a plus but not required.

PHYSICAL AND ENVIRONMENTAL DEMANDS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job the employee is regularly required to:
  • Sit
  • Stand
  • Walk
  • Speak in public
  • Use telephone
  • Use computer
  • Speak, hear and write

WORK ENVIRONMENT:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • The noise level in the office work environment is usually moderate.
  • The noise level in Gainbridge Fieldhouse/game environment is usually loud.
  • The stress level may become high during certain times.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.

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