1

Executive Data Analytics 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 ...

$63K - $121K/yr

You will work within the Google Cloud Platform ecosystem to transform complex datasets into clear, executive-level insights. Key Responsibilities: * Data Analysis & Modeling: Write and optimize ...

Experience presenting recommendations to senior executive stakeholders * Master of Business ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

Prepare executive presentations, reports, dashboards, and data visualizations that communicate ... Strong analytical, organizational, project management, and problem-solving skills. * Excellent ...

Data Analytics & Computational Sciences Job Sub Function: Multi-Family Data Analytics ... executive and operational dashboards that reveal the organization's risk profile, emerging trends ...

New

... analytics and AI solutions that uncover early signals in cost trends across Medicaid, Medicare ... Build and enhance interactive dashboards and executive tools that translate complex data into ...

... analytics and AI solutions that uncover early signals in cost trends across Medicaid, Medicare ... Build and enhance interactive dashboards and executive tools that translate complex data into ...

... analytics, AI, and cloud ecosystems. You thrive in client-facing roles, partnering with executives such as CTOs and CDOs to guide enterprise-scale data transformations and platform decisions. You ...

Showing results 21-40

Executive Data Analytics information

How does an executive data analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What is an executive data analytics?

Executive data analytics involves analyzing large datasets to support strategic decision-making at the leadership level. Professionals in this role use advanced tools and techniques to interpret data, generate insights, and communicate findings to executives to improve business performance.

What are the key skills and qualifications needed to thrive as an executive in data analytics?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

What is an executive data analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.

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

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

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!