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Overnight 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 ...

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 ...

Apollo ITS

Data Analyst

Indianapolis, IN · On-site

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 ...

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Overnight Senior Data Analyst information

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

To thrive as an Overnight Senior Data Analyst, you need advanced analytical abilities, strong statistical knowledge, and experience with data modeling, typically supported by a degree in a quantitative field and several years of relevant experience. Expertise in tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI) is essential, along with familiarity with data warehousing systems. Exceptional problem-solving, attention to detail, and the ability to communicate complex findings clearly are key soft skills for success in this role. These skills ensure accurate, actionable insights are delivered efficiently, supporting critical business decisions during off-hours.

What unique challenges might an Overnight Senior Data Analyst face, and how can they effectively manage them?

Overnight Senior Data Analysts often work outside regular business hours, which can pose challenges such as limited real-time collaboration with daytime teams and a need for greater autonomy in decision-making. To manage these challenges, it's helpful to establish clear communication channels for handoffs between shifts and to document analyses thoroughly for colleagues. Proactively scheduling meetings with stakeholders and utilizing collaboration tools can help bridge time gaps, ensuring projects stay on track and that insights are effectively shared with the broader team.

What are Overnight Senior Data Analysts?

Overnight Senior Data Analysts are experienced professionals responsible for analyzing and interpreting complex data sets during night shifts or overnight hours. They ensure timely data processing, reporting, and insights for organizations that operate around the clock, such as global companies or industries requiring 24/7 analysis. Their work often involves monitoring data pipelines, troubleshooting issues in real time, and providing actionable recommendations based on their findings. In addition to technical skills, they must be comfortable working independently during non-standard hours and communicating results to both technical and non-technical stakeholders.

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

AspectOvernight Senior Data AnalystOvernight Data Analyst
Required CredentialsBachelor's degree, 3+ years experience, advanced analytics skillsBachelor's degree, 1-2 years experience, basic data analysis skills
Work EnvironmentCorporate offices, data centers, or remoteSimilar environments, often in 24/7 operations
Employer & Industry UsageFinance, healthcare, tech companiesRetail, logistics, manufacturing
Common Search & ComparisonYesYes

The main difference between an Overnight Senior Data Analyst and an Overnight Data Analyst lies in experience, skills, and responsibilities. The senior role requires more advanced analytics expertise and experience, often involving leadership or complex project management. Both roles typically work in similar environments and industries, especially in 24/7 operations. Candidates should consider their experience level and career goals when choosing between these positions.

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:
What are popular job titles related to Overnight Senior Data Analyst jobs in Indiana? For Overnight Senior Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Overnight Senior Data Analyst jobs in Indiana look for? The top searched job categories for Overnight Senior Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Overnight Senior Data Analyst jobs? Cities in Indiana with the most Overnight Senior Data Analyst job openings:
Overnight Senior Data Analyst jobs near you
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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