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Senior Data Analyst Jobs in Carmel, IN (NOW HIRING)

Senior Data Analyst

Indianapolis, IN · On-site

$82.20K - $103.70K/yr

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

Data Analyst-Senior

Indianapolis, IN · On-site

$82.20K - $103.70K/yr

... Data Sources * Python * Bachelor's Degree in Computer Science or Related Field or Equivalent Experience Desired Skills * Experience with ETL Frameworks and Online Analytical Processing (OLAP)

Data Analyst-Senior

Indianapolis, IN · On-site

$82.20K - $103.70K/yr

... Data Sources * Python * Bachelor's degree in computer science or related field or equivalent experience Desired Skills * Experience with ETL frameworks and online analytical processing (OLAP)

Sr Data Architect

Indianapolis, IN · On-site +1

$64.25 - $86/hr

Must be highly analytical and have the proven ability to develop and reverse complex engineering ... Senior Data Architect | Day-to-Day * Assessing current and future states to provide a road map for ...

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

Must be highly analytical and have the proven ability to develop and reverse complex engineering ... Senior Data Architect | Day-to-Day * Assessing current and future states to provide a road map for ...

Oversee and review projects completed by associate analysts, as requested by senior analyst * Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple ...

... by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical ...

Oversee and review projects completed by associate analysts, as requested by senior analyst * Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple ...

... by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical ...

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Senior Data Analyst information

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$54.9K

$99.1K

$135.3K

How much do senior data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for senior data analyst in Carmel, IN is $99,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $108,300.00 per year, depending on experience, location, and employer.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Carmel, IN? The most popular types of Data Analyst jobs in Carmel, IN are:
What cities near Carmel, IN are hiring for Senior Data Analyst jobs? Cities near Carmel, IN with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Carmel, IN as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 39% Physical, 3% Hybrid, and 58% Remote job distribution, with an average salary of $99,077 per year, or $47.6 per hour.
Senior Data Analyst: Epigenetics (Indianapolis)

Senior Data Analyst: Epigenetics (Indianapolis)

Purdue University

Indianapolis, IN • Hybrid

$82.20K - $103.70K/yr

Other

This job post has expired today. Applications are no longer accepted.


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

261st of 528 rated colleges and universities


Job description

Req Id: 41698
Job Title: Senior Data Analyst: Epigenetics (Indianapolis)
City: Indianapolis
Job Description:
Job Summary
Are you looking to be part of something big? Radical innovations begin with small, impactful steps. Take your next step with the Dunn Lab, the distinguished team of Dr. Erin C. Dunn, as we prepare for our next giant leap: discovering the causes of mental illness and creating roadmaps for prevention. Learn more about the Dunn Lab and Purdue University in Indianapolis.
The Senior Data Analyst will be responsible for projects focusing on computational genetic and epigenetic analyses working on a multi-disciplinary team under the direct supervision of principal investigator Dr. Dunn. The Senior Data Analyst will work with multiple types of data, especially longitudinal survey and biological data from large birth cohort studies. A successful candidate will have experience in working with post-doctoral fellows in a mentoring capacity to drive computational analyses.
The successful candidate will be able to contribute to innovative projects to identify risk and protective factors linked to depression. Our overarching goal is to identify possible sensitive periods in development, or life stages when the brain is highly plastic and experience, including stress exposure, can impart more enduring effects on risk for depression.
Responsibilities Include:

  • Responsible for data management and statistical analysis for new and ongoing studies, including but not limited to developing and applying regression-based analyses of epidemiologic and epigenetic data.
  • Guide other lab members in designing data analytic plans and computational pipelines.
  • Maintains standard operating procedures for data management on a high-powered computing cluster.
  • Collaborate on the preparation of grant applications, manuscripts, and presentations.
  • Present analyses and results to collaborators and in academic papers using tables and figures.
  • Leads R code reviews and data validation efforts
  • Mentors and troubleshoots other lab members in coding (in R programming language)
This position is located in Indianapolis at the Purdue University in Indianapolis location. Hybrid options may be available.
What We're Looking For:
Education and Experience:
  • Bachelor's Degree.
  • Four years of data analysis experience.
  • Strong knowledge of R (e.g., tidyverse, mice, ggplot) and omics data analysis pipelines.
  • Prior experience in academic research including cluster computing, longitudinal studies, biological/epidemiological modeling,
Preferred:
  • MA/MS.
Skills Needed:
  • Understanding of data management
  • Ability to clean data, including derived variable and metadata creation and management.
  • Experience working with longitudinal omics-related data.
  • Ability to create detailed data analysis plans and pipelines.
  • Proven ability to learn new computational and statistical techniques.
  • Excellent written and verbal communications skills.
  • Ability to handle multiple projects simultaneously.
  • Ability to work independently and as part of a team.
  • Ability to interpret acceptability of data.
  • High degree of computer literacy.
  • Careful attention to detail.
  • Good organizational skills.
  • Ability to identify problems and develop solutions.
  • Ability to create presentation-ready tables and figures.
  • Advanced knowledge of statistical and epidemiological study design.
  • Understanding of Redcap or other clinical database management systems
Additional Information:
  • For full consideration, please include a cover letter and resume with your application materials.
  • Purdue University will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible for Overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period

Purdue University is an EO/EA University.
Career Stream
Professional 3
Pay Band S070
Job Code #20002211

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