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Executive Retail Data Analyst Jobs in Indiana (NOW HIRING)

... data analytics. Our clients span the public and private sectors, and our work helps them solve ... Whether you're passionate about transforming public programs, enabling executive decision-making ...

... data analytics. Our clients span the public and private sectors, and our work helps them solve ... Whether you're passionate about transforming public programs, enabling executive decision-making ...

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

This role translates high-level business challenges into advanced analytical frameworks, develops predictive and diagnostic models, and delivers compelling data narratives to executive stakeholders.

Retail Data Collector CROSSMARK is a leading sales and marketing service company in the consumer ... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... that power omni-retail analytics, advanced modeling, and AI/ML initiatives. This role is ... and executive decision-making. The Senior Data Engineer will work closely with analytics, data ...

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Executive Retail Data Analyst information

What is an executive retail data analyst?

Executive Retail Data Analysts are professionals who collect, interpret, and analyze data related to retail operations at a strategic level. They help organizations make data-driven decisions by identifying trends, forecasting sales, optimizing inventory, and improving customer experiences. Their insights inform executive teams on market performance, consumer behavior, and business opportunities. These analysts often use advanced analytics tools and collaborate with multiple departments to support the company’s overall objectives.

What are the key skills and qualifications needed to thrive as an executive retail data analyst, and why are they important?

To thrive as an Executive Retail Data Analyst, you need strong analytical abilities, expertise in data interpretation, and a background in business, statistics, or a related field, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, Tableau, and familiarity with retail management systems and advanced Excel functions are typically required. Exceptional communication, problem-solving, and strategic thinking skills distinguish top performers in this role. These skills enable analysts to translate complex data into actionable insights that drive retail business strategies and optimize performance.

What is the difference between Executive Retail Data Analyst vs Retail Data Analyst?

AspectExecutive Retail Data AnalystRetail Data Analyst
Required CredentialsBachelor's degree in Business, Data Science, or related field; experience in retail analytics; proficiency in data toolsBachelor's degree in similar fields; experience in data analysis; familiarity with retail metrics
Work EnvironmentStrategic roles, senior-level projects, cross-department collaborationOperational roles, data reporting, daily retail analytics tasks
Employer & Industry UsageRetail chains, e-commerce companies, retail consulting firmsRetail stores, online retail platforms, supply chain companies

The main difference between an Executive Retail Data Analyst and a Retail Data Analyst lies in their level of responsibility and scope. The Executive Retail Data Analyst typically handles strategic decision-making and oversees complex analytics projects, while the Retail Data Analyst focuses on operational data reporting and day-to-day analysis. Both roles require similar educational backgrounds and technical skills, but the executive position involves higher-level planning and cross-department collaboration.

How does an executive retail data analyst typically collaborate with other departments to drive business decisions?

An Executive Retail Data Analyst frequently works cross-functionally with marketing, merchandising, supply chain, and executive leadership teams. This collaboration involves gathering input on business goals, sharing analytical findings, and jointly developing strategies to optimize sales, inventory, and customer experience. Regular meetings and data presentations are common, ensuring that data-driven insights inform key decisions across the organization. Effective communication skills and the ability to translate complex data into actionable recommendations are essential for success in this role.
What are the most commonly searched types of Retail Data Analyst jobs in Indiana? The most popular types of Retail Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Executive Retail Data Analyst jobs? Cities in Indiana with the most Executive Retail Data Analyst job openings:

Data Analyst

CSpring

Indianapolis, IN • On-site

Full-time

Re-posted 20 days ago


Job description

Description:

At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You’ll Love Working Here

  • Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
  • Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
  • Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

  • Design, develop, test, maintain, and enhance analytic reports and dashboards using Cognos and Tableau.
  • Build ad hoc reports and perform data analysis based on evolving client needs and business questions.
  • Develop complex reports, including sub-reports, visual reports, and well-formatted deliverables that meet user requirements and present data in a clear, compelling manner.
  • Create, enhance, and maintain business analytics models, including relational and DMR models, packages, and reporting structures used for report development.
  • Work with business users and technical teams to mock up reports and dashboards, refine requirements, and identify the most effective way to present data to customers.
  • Collaborate with business analysts, data engineers, managers, and other team members to design and deliver customer-specific reporting solutions.
  • Recommend additional insights, report enhancements, and data improvements based on client needs and analysis findings.
  • Support the operational stability of the reporting environment by monitoring, auditing, validating, and troubleshooting reporting objects to ensure accuracy, integrity, and timely delivery.
  • Validate report results against data warehouse sources throughout the development process to ensure data quality and consistency.
  • Support testing activities, including UAT, validation cycles, and production readiness reviews.
  • Communicate findings, report outputs, and analytical insights clearly to both technical and non-technical stakeholders.
  • Work within a project team environment, taking direction from project managers and technical leaders while managing assigned work to completion.
Requirements:
  • Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field, or equivalent experience.
  • 4+ years of production-level experience working with data and business intelligence tools, including IBM Cognos Analytics and Tableau. Experience working with Cognos Cubes, including cube-based reporting and analysis.
  • 2+ years of data warehouse analysis experience, including the ability to read data flow diagrams and conceptual and physical data models.
  • 4+ years of experience writing SQL for reporting, analysis, and report customization.
  • 4+ years of experience with Medicaid, healthcare, or government programs.
  • 4+ years of experience working in Agile environments or client-facing roles.
  • Strong attention to detail with the ability to work with complex data sets and ensure data accuracy.
  • Excellent written and verbal communication skills.

Preferred Qualifications

  • Proficiency in Python, including Pandas or similar libraries, and Excel.
  • Knowledge of data cleaning, formatting, and transformation techniques.
  • Understanding of basic statistics and analytical problem-solving methods.

Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today!