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Data Analytics Director Jobs in Indiana (NOW HIRING)

We are seeking a visionary Director, Data Engineering to architect the "data set of the future ... Oversee the transition from legacy BI tools to modern, self-service analytics platforms, ensuring ...

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 ...

Principal Data Architect

Carmel, IN · On-site

$150 - $200/hr

As we modernize and optimize our Data & Analytics program through legacy data platforms ... Direct the strategy and implementation for migration from the existing data warehouse platforms ...

Showing results 41-60

Data Analytics Director information

See Indiana salary details

$67.6K

$150.5K

$232.7K

How much do data analytics director jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data 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 a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

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

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What are the most commonly searched types of Data Analytics jobs in Indiana?

The most popular types of Data Analytics jobs in Indiana are:

What are popular job titles related to Data Analytics Director jobs in Indiana?

For Data Analytics Director jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Data Analytics Director jobs?

Cities in Indiana with the most Data Analytics Director job openings:

Infographic showing various Data Analytics Director job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $150,457 per year, or $72.3 per hour.

Assistant Vice President, Senior Data Analyst

Interra Brand

Goshen, IN • On-site

$76K - $96K/yr

Full-time

Posted 14 days ago


Key responsibilities

  • Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.

  • Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI.

  • Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions.


Job description

WHAT YOU WILL DO EVERYDAY

As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the Analyst role. You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk, transforming large and complex datasets into actionable insights that drive enterprise decision-making. You will help define data strategy, elevate governance practices, and mentor decentralized data users to strengthen Interra’s dataâdriven culture.

You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models—owning higherâcomplexity initiatives and serving as an escalation point for technical issues.

Direct Reports: None

HOW YOU WILL MAKE AN IMPACT

40%            Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.

Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations for senior leaders.

 

20%            Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI. Ensure reporting environments are accurate, scalable, and aligned with governance standards. Serve as the technical lead for defining reporting requirements and business logic.

 

15%            Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions. Identify data quality issues, troubleshoot discrepancies, and drive crossâfunctional resolution. Serve as steward of “single source of truth” practices across the enterprise.

 

15%         Partner with IT and data engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage. Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture. Support advanced use cases for decentralized data users and crossâdepartment teams.

 

10%            Guide and mentor data analysts and dataâcurious staff, helping elevate analytical literacy and best practices. Lead complex projects requiring collaboration across multiple departments. Continuously improve tools, processes, automation, and analytic methodologies.

— Must comply with all company policies and procedures, applicable laws, and regulations, including but not limited to, the Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control.

WHAT YOU WILL NEED TO SUCCEED

Experience

5+ years of progressive experience in data analysis, business intelligence, or analytics within a financial institution or related industry. Demonstrated experience delivering actionable insights that influence business decisions. Experience working with large datasets and cross-functional stakeholders required.

Education / Certifications / Licenses

This level of knowledge is normally acquired through completion of a Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Finance, Business, or related field. (Will consider additional years of relevant experience in lieu of education requirement.) Must have and maintain a valid driver’s license.

 

PREFERRED SKILLS

-  Proven expertise in transforming large, complex datasets into meaningful business intelligence to support marketing, product, and growth strategies.

-  Strong proficiency in statistical modeling, data mining, and interpreting behavioral data to identify member trends and campaign performance drivers.

-  Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver compelling, executive-ready dashboards that guide strategic decisions.

-  Proficient in SQL and comfortable querying data across structured and unstructured data sources; experience with cloud data platforms (e.g., Snowflake, BigQuery) preferred.

-  Demonstrated ability to translate data into marketing and business insights that drive measurable outcomes in acquisition, engagement, and retention.

-  Hands-on experience with data tools such as Python or R to support data preparation, automation, and predictive modeling.

-  Strong understanding of data warehouse architecture, dimensional modeling, and ETL processes to ensure scalable, accurate data pipelines.

-  Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals, including the creation of KPIs and performance scorecards.

-  Knowledge of data governance, data quality practices, and compliance standards relevant to member privacy and financial regulations.

-  Strong communication skills with a track record of influencing cross-functional stakeholders through data storytelling and actionable recommendations.

-  Demonstrated experience working in a financial services or highly regulated environment, with familiarity in interpreting member behavior and credit union KPIs.

-  Effective project management skills with a focus on delivering high-impact analytics projects on time and with stakeholder buy-in.

-  Ability to mentor analysts and foster a culture of data curiosity and continuous learning.

-  Strong business acumen and the ability to connect analytics work directly to organizational growth, revenue, and member satisfaction.

-  Commitment to Interra’s mission and member experience, with a passion for leveraging data to deliver meaningful impact.

INTERPERSONAL SKILLS

·        Strong interpersonal skills—willingness to engage with team members across the organization.

·        Interest in making a tangible impact at a mission-driven, community-focused financial institution.

·        Ability to communicate complex analytical concepts to non-technical stakeholders in a clear and understandable manner.

·        Ability to influence decision-making through data-driven insights and thoughtful recommendations.

·        Represent the credit union in a professional and positive way, both internally and externally at all times.

COMPETENCIES

Decision Making - Makes sound decisions in a timely manner using critical thinking, problem solving, insights, and experience. Demonstrates sound judgment that proves to be accurate and correct over time.

Drive Engagement - Demonstrates drive and fosters an inclusive environment that motivates others. Alters approach to each person to promote optimal performance and commitment to the Interra mission, vision, and objectives.

Effective Communication - Utilizes a variety of communication modalities effectively and appropriately across multiple channels. Is effective in a variety of communication settings: one-on-one, small, and large groups, or among diverse styles and position levels. Adjusts to fit the message to the audience. Provides timely and helpful information to others across the organization.

Functional Expertise - Maintains strong technical knowledge in data analytics and stays current on industry trends, tools, and best practices.

Maintain Accountability - Takes ownership of work, ensures accuracy, and meets deadlines with high standards of quality.

ADA REQUIREMENTS

Physical Requirements

-  Able to bend, sit, and stand in order to perform primarily sedentary work with limited physical exertion and occasional lifting of up to 10 lbs.

-  Must be capable of climbing / descending stairs in an emergency situation.

-  Must be able to operate routine office equipment including computer terminals and keyboards, telephones, copiers, facsimiles, and calculators.

-  Must be able to routinely perform work on computer for an average of 6-8 hours per day, when necessary.

-  Must be able to work extended hours or travel off site whenever required or requested by management.

-  Must be capable of regular, reliable, and timely attendance.

 

Working Conditions

-  Must be able to routinely perform work indoors in climate-controlled shared work area with minimal noise.

Mental and/or Emotional Requirements

·        Must be able to perform job functions independently and work effectively either on own or as part of a team.

·        Must be able to plan and direct the work activities of self and others.

·        Must be able to read and carry out various written instructions and follow oral instructions.

·        Must be able to speak clearly and deliver information in a logical and understandable sequence.

·        Must be capable of dealing calmly and professionally with numerous different personalities from diverse cultures at various levels within and outside of the organization and demonstrate highest levels of member service and discretion when dealing with the public.

·        Must be able to perform responsibilities with composure under the stress of deadlines / requirements for extreme accuracy and quality and/or fast pace.

·        Must be able to effectively handle multiple, simultaneous, and changing priorities.

·        Must be capable of exercising highest level of discretion on both internal and external confidential matters.