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Data Analytics Jobs in Fishers, IN (NOW HIRING)

Newfields

Manager of Data Analytics

Indianapolis, IN · On-site

$60K - $70K/yr

Manager, Data & Analytics Department: Technology FLSA Status: Exempt Salary: $60,000 - 70,000 Key Responsibilities * Serve as the primary steward of data quality and governance across institutional ...

Linde

IT Manager - Data & Analytics

Indianapolis, IN · On-site

Linde Advanced Material Technologies Inc. IT Manager - Data & Analytics Indianapolis, IN, United States req29382 What you will enjoy doing* * In this role you will design and build scalable data ...

Socket.dev

Data Analyst

Indianapolis, IN · On-site

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 ...

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$88

How much do data analytics jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data analytics in Fishers, IN is $51.24, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $58.03 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Fishers, IN?

The most popular types of Data Analytics jobs in Fishers, IN are:

What job categories do people searching Data Analytics jobs in Fishers, IN look for?

The top searched job categories for Data Analytics jobs in Fishers, IN are:

What cities near Fishers, IN are hiring for Data Analytics jobs?

Cities near Fishers, IN with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Fishers, IN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $106,586 per year, or $51.2 per hour.

Business Analyst - Data Analytics

Indianapolis, IN • On-site

CSpring
51 - 200 employees
Learn more about CSpringexternal

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

You will own the analysis work on data and technology projects from first conversation through user acceptance and go-live.

  • Lead requirements elicitation with business stakeholders, technical teams, and client leadership through interviews, workshops, and working sessions.
  • Translate business needs into clear, testable documentation - business requirements, functional specifications, user stories, and acceptance criteria.
  • Map current and future state processes and make the gaps between them visible and specific enough to act on.
  • Profile and analyze source data to confirm that requirements are actually supportable, including writing your own SQL to check assumptions.
  • Build source-to-target mappings, data dictionaries, and business rule documentation alongside data engineering teams.
  • Serve as the connective tissue between business and technical stakeholders, keeping both groups working from the same understanding.
  • Support agile delivery - refine the backlog, size and clarify stories, and participate in sprint ceremonies with the delivery team.
  • Plan and coordinate user acceptance testing, including test scenarios, business tester onboarding, and defect triage through resolution.
  • Identify risks, dependencies, and scope changes early, and bring them to the project manager with options rather than just problems.
  • Present findings, recommendations, and status to client stakeholders in language they can act on.


Requirements

  • 7+ years of business analysis experience on IT or data delivery projects.
  • Demonstrated ability to run requirements sessions with mixed business and technical audiences and drive them to decisions.
  • Strong documentation skills across BRDs, functional specs, user stories, and acceptance criteria.
  • Working SQL skills - enough to profile data, validate assumptions, and investigate discrepancies independently.
  • Experience with process mapping and workflow documentation using tools such as Visio or Lucidchart.
  • Hands-on experience in agile delivery, including backlog refinement and sprint ceremonies.
  • Experience planning and supporting user acceptance testing through sign-off.
  • Excellent written and verbal communication, with the judgment to adjust for the audience.
  • Bachelor's degree preferred, or equivalent professional experience.
Preferred Qualifications
  • Experience on data warehouse, ETL, or business intelligence and reporting projects.
  • Background in government, public health, or healthcare environments.
  • Familiarity with Medicaid, public health data systems, HIPAA, or state and federal reporting requirements.
  • Proficiency with Azure DevOps, Jira, or Confluence for backlog and documentation management.
  • Exposure to data governance, data quality, or master data management initiatives.
  • Prior consulting or client-facing delivery experience.
  • CBAP, PMI-PBA, or agile certifications.

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!



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