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Executive Data Analytics Jobs in Indiana (NOW HIRING)

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... 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 ...

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... 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 ...

New

CSpring

Project Manager - Data

Indianapolis, IN · On-site

$49.50 - $67/hr

... 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 ...

New

CSpring

Project Manager - Data

Indianapolis, IN · On-site

$49.50 - $67/hr

... 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 ...

CSpring

Project Manager - Data

Indianapolis, IN · On-site

$49.50 - $67/hr

... 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 ...

New

Dexter

Business Analyst

Elkhart, IN · On-site

Build executive-level dashboards and reporting frameworks using Power BI, Excel, GA4, and internal data systems. * Support forecasting, budgeting, and variance analysis for digital commerce ...

Northwest Bank

Sr. Compensation Analyst

Fishers, IN · On-site

$77K - $101K/yr

... data analytics, dilution, burn rate, share usage modeling, walk away value analysis, etc. * Support executive compensation disclosures (e.g., proxy/CD&A tables, equity tables) * Serve as the point of ...

New

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Executive Data Analytics information

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 (CDO) or Vice President of Data Analytics, which can offer salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in data strategy, and leadership capabilities, often supported by certifications like Certified Analytics Professional (CAP) or advanced degrees.

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 are the key skills and qualifications needed to thrive as an Executive in Data Analytics, and why are they important?

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the near future.

What is a data analyst executive?

A data analyst executive is a senior professional responsible for overseeing data analysis activities within an organization. They typically lead teams, develop data strategies, and use tools like SQL, Python, or Tableau to inform business decisions. Strong leadership, strategic thinking, and advanced analytical skills are essential for this role.

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:
Executive Data Analytics jobs near you
Azure Data Engineer

Azure Data Engineer

CSpring

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 3 days ago

Job 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
You'll design, build, and support cloud data solutions on the Microsoft Azure stack for client engagements across government and healthcare.
  • Build and orchestrate data pipelines in Azure Data Factory, moving data from source systems into curated, analytics-ready layers.
  • Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes grow.
  • Design and maintain data models - dimensional, relational, or lakehouse - that make sense to the analysts and reporting teams who depend on them.
  • Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and compute patterns that fit the client's scale and budget.
  • Implement data quality checks, validation rules, and reconciliation so problems surface before a stakeholder finds them.
  • Build monitoring, alerting, and error handling into pipelines from the start, and respond when something breaks in production.
  • Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across development, test, and production environments.
  • Partner with client analysts, program staff, and technical leads to translate business questions into data requirements you can build against.
  • Document architecture, data lineage, and operational runbooks so the work is supportable after you hand it off.
  • Follow client security, privacy, and compliance requirements in how you access, move, and store sensitive data.

Requirements
  • 3+ years of hands-on data engineering experience, including 2+ years building on Azure.
  • Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.
  • Practical experience with Azure Data Factory, including pipeline design, triggers, parameterization, and error handling.
  • Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL.
  • Python or PySpark for data transformation and automation.
  • Experience with data modeling and warehouse design concepts, including dimensional modeling.
  • Familiarity with Azure Data Lake Storage Gen2 and how to organize raw, curated, and consumption layers.
  • Version control and deployment discipline using Git and Azure DevOps.
  • Clear communication with non-technical stakeholders - you can explain what you built and why it matters.
  • Bachelor's degree or equivalent hands-on experience.
Preferred Qualifications
  • Prior consulting or client-facing delivery experience.
  • Power BI or supporting downstream reporting and analytics teams.
  • Microsoft Azure certification (DP-203 or equivalent).
  • Experience with data governance tooling such as Microsoft Purview.

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!

Apply