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Data Analytics Director Jobs in Indiana (NOW HIRING)

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 ...

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 ...

LHH is seeking a Manufacturing Data Analyst for a Direct Hire, Permanent Placement position with a manufacturing client located in Indianapolis, IN. This is an outstanding opportunity to join a ...

LHH is seeking a Manufacturing Data Analyst for a Direct Hire, Permanent Placement position with a manufacturing client located in Indianapolis, IN. This is an outstanding opportunity to join a ...

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

Direct Reports: None HOW YOU WILL MAKE AN IMPACT 40% Lead complex analytical assessments across ... Identify data quality issues, troubleshoot discrepancies, and drive crossfunctional resolution.

Senior Data Analyst

Goshen, IN ยท On-site

$76K - $96K/yr

Direct Reports: None HOW YOU WILL MAKE AN IMPACT 40% Lead complex analytical assessments across ... Identify data quality issues, troubleshoot discrepancies, and drive cross-functional resolution.

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Showing results 1-20

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 Jul 21, 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 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 key skills and qualifications needed to thrive as a Data Analytics Director, and why are they important?

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 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 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 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:
Data Analytics Manager

Data Analytics Manager

Specialty Foods Group

Delphi, IN โ€ข Remote

Full-time

Posted 12 days ago


Job description

Data Analytics Manager

Location: This is a remote position

Travel: 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 in the FP&A group, you will play a key role in building out analytics capabilities from the ground up. This is a hands-on leadership role where you will lead reporting and analytics development, partner with business teams, and drive meaningful insights that support decision-making across the organization. You will operate at the intersection of strategy and execution, balancing business partnership, technical depth, and process improvement. A critical component of this role is designing, building, and executing a scalable data lake and data architecture to serve as the single source of truth for the enterprise. This role offers the opportunity to influence how the business thinks about and uses data, while shaping future team structure as opportunities and requests grow.

Key Responsibilities:Team Leadership and Development
  • Build and shape a high-performing analytics team as needs grow
  • Provide direction, mentorship, and coaching to future analysts
  • Foster a collaborative, results-focused team environment centered on learning and execution
Strategic Partnership and Collaboration
  • Partner with business leaders to identify opportunities for improved reporting, process efficiency, and data-backed decision-making
  • Translate business needs into actionable analytics solutions in alignment with strategic priorities
  • Build strong cross-functional relationships with Finance, Operations, IT, and other support teams
  • Design and implement best-in-class data drivers and performance metrics to accelerate decision-making
Data Architecture and Engineering
  • Design, build, and execute a scalable enterprise data lake and supporting data architecture
  • Establish raw, curated, and reporting data layers to support analytics and reporting needs
  • Develop and manage ETL/ELT pipelines to integrate data from SAP S/4HANA, Digital Manufacturing, and legacy systems
  • Ensure data governance, data quality, and consistency across the enterprise to enable a true single source of truth
  • Evaluate and implement appropriate cloud technologies (Azure, AWS, Snowflake, etc.) to support scalability and performance
Data Analytics and Reporting
  • Build and manage scalable dashboards and reports using Power BI and other tools
  • Develop models and run ad hoc analyses tied to financial and operational goals
  • Automate data processes using tools such as SQL, Python, R, or Alteryx
Process Improvement and Innovation
  • Identify and implement improvements in reporting structure, accuracy, and delivery
  • Maintain and optimize database environments to ensure data reliability and scalability
  • Stay current with trends in analytics, visualization, and automation to bring forward innovative solutions
Training and Communication
  • Support business partners in effectively using dashboards and self-serve analytics tools
  • Present findings clearly to both technical and non-technical audiences
  • Ensure documentation of key metrics, calculations, and methodologies is accurate and transparent
Minimum QualificationsEducation and Experience
  • Bachelor's degree in Finance, Accounting, Business Analytics, Statistics, Data Science, Computer Science, or a related field
  • 3 to 5 years of experience in data analytics, FP&A, business intelligence, or data engineering
  • Hands-on experience building dashboards and reports, preferably in Power BI
  • Proficiency in SQL with exposure to scripting languages such as Python or R
  • Hands-on experience designing and building data lakes or enterprise data environments
  • Demonstrated ability to work cross-functionally and communicate insights effectively
Skills and Competencies
  • Strong analytical thinking and problem-solving skills
  • Excellent verbal and written communication abilities
  • Highly organized and self-motivated with the ability to manage time independently in a remote work environment
  • Comfortable working across distributed teams and managing competing priorities
Preferred Qualifications
  • Experience in manufacturing, CPG, or operational environments
  • Familiarity with SAP (S/4HANA, ECC, or BW) data structures
  • Experience with cloud-based data platforms such as Snowflake, Azure, or AWS
  • Experience with Alteryx, DAX, or Power Query for automation and transformation
  • Experience integrating SAP data into modern data lake architectures

Other Duties:

Please note, this job description is not designated to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.


Physical Demand:

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.

Work is primarily performed in an office setting in a manufacturing environment requiring the ability to sit, talk, hear, frequent walking, standing, and sitting; use hands to finger, handle, or feel; reach with hands and arms and stoop, kneel, crouch, or crawl. Ability to occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and distance vision. Ability to use standard office equipment such as telephone, computer, and copier.


Background Screening/Checks:

This position is contingent upon the successful completion of a background check. This may include verification of employment, education, criminal background, driving history, and other relevant information, conducted in accordance with applicable federal, state, and local laws and regulations.

EOE, including Disability/Veteran

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