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Permanent Senior Data Analyst Jobs in Indiana (NOW HIRING)

Cardinal Health

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 ...

blueStone

Sr. Business Analyst

Indianapolis, IN

$88.40K - $114.20K/yr

... Data or Business Analyst on a full-time, permanent basis for our client, a recognized and viable $350M+ organization, a leader in their vertical - nationally. The Sr. Business Analyst will serve as a ...

Johnson & Johnson

Sr. Data Scientist

Warsaw, IN · On-site

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... As a Senior Data Scientist, you will analyze large post market datasets to support the ...

InstantServe LLC

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)

InstantServe LLC

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)

Nava Software Solutions

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 ...

NAVA Software Solutions

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 ...

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Permanent Senior Data Analyst information

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

To thrive as a Permanent Senior Data Analyst, you need advanced analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Expertise with tools like SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI) as well as experience with large databases is typically required. Strong problem-solving, communication, and stakeholder management abilities help you translate complex data into actionable insights. These skills are crucial for driving data-driven decision-making and delivering valuable business intelligence.

What opportunities for career advancement are typically available to Permanent Senior Data Analysts within an organization?

Permanent Senior Data Analysts often have a clear path for growth, including opportunities to move into lead analyst, analytics manager, or even data science roles. Many organizations support professional development through mentorship, specialized training, and cross-functional projects that can expand your technical and leadership skills. By demonstrating strong analytical abilities, business acumen, and the capacity to guide junior team members, you can position yourself for advancement into higher-level or strategic positions within the analytics or business intelligence teams.

What are Permanent Senior Data Analysts?

Permanent Senior Data Analysts are experienced professionals who work full-time within organizations to interpret data, identify trends, and provide insights that inform business decisions. Unlike contract or temporary analysts, they hold ongoing positions and often lead or mentor junior analysts. Their responsibilities typically include data modeling, report generation, and collaborating with other departments to improve data-driven strategies. Senior Data Analysts are expected to have advanced analytical skills, proficiency with data tools, and a deep understanding of the business domain. Their insights help organizations optimize processes and achieve strategic goals.
What are the most commonly searched types of Senior Data Analyst jobs in Indiana? The most popular types of Senior Data Analyst jobs in Indiana are:
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What cities in Indiana are hiring for Permanent Senior Data Analyst jobs? Cities in Indiana with the most Permanent Senior Data Analyst job openings:
Permanent Senior Data Analyst jobs near you
Infographic showing various Permanent Senior Data Analyst job openings in Indiana as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 60% Physical, 25% Hybrid, and 15% Remote job distribution.
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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