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Overnight Educational Data Analyst Jobs in Indiana

EDUCATION Required * Bachelor's degree (preferably in computer science, information science, or related field). WORK EXPERIENCE Required * 2 years of data analysis, reporting, or related experience.

New

Data Analyst

West Lafayette, IN ยท On-site

$577K/yr

Data Analyst City: West Lafayette Job Summary College of Science | Purdue University | West ... What We're Looking For Education and Experience Required: * Bachelor's degree in Statistics, Math ...

Qualifications / Education and Experience Requirements: โ€ข Bachelor's degree in a related field ... data analysis, business intelligence, or a related field required. โ€ข Proficiency in SQL for ...

Qualifications / Education and Experience Requirements: โ€ข Bachelor's degree in a related field ... data analysis, business intelligence, or a related field required. โ€ข Proficiency in SQL for ...

Data Analyst DEPARTMENT: St. Joseph County Department of Health WORK SCHEDULE: 8:00 a.m. - 4:30 p.m ... Report sharing may be used to inform key performance indicators, programming, health education, new ...

Data Analyst (HEDIS)

Indianapolis, IN ยท On-site

$51 - $55/hr

Bachelor's degree or equivalent combination of education and experience. Degree in information systems, computer science, or related field preferred. Six or more years in programming or data analysis ...

Education and/or Experience * Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a related field * 2-5 years of experience in data analysis, preferably in ...

Senior Data Analyst

Indianapolis, IN ยท On-site +1

$82K - $103K/yr

... analyze, document, define, and standardize business/data requirements (2%). * Perform or lead Gap ... Will accept any suitable combination of education, training, and experience. At CSpring, we unlock ...

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Overnight Educational Data Analyst information

What are some common challenges faced by overnight educational data analysts, and how can they be effectively managed?

Overnight Educational Data Analysts often work independently during non-traditional hours, which can present challenges such as limited real-time collaboration with colleagues and the need for strong self-motivation. Managing these challenges involves establishing clear communication routines with daytime teams, leveraging digital collaboration tools, and proactively documenting findings and questions. Additionally, adapting to shifting priorities or urgent data requests from educational institutions may require flexibility and strong organizational skills. Building a structured workflow and maintaining regular check-ins with supervisors can help ensure alignment and support career growth in this unique schedule.

What are the key skills and qualifications needed to thrive as an overnight educational data analyst, and why are they important?

To thrive as an Overnight Educational Data Analyst, you need strong analytical skills, experience with educational data sets, and a background in statistics, typically supported by a degree in data science, education, or a related field. Proficiency in data analysis tools such as SQL, Python, Excel, and educational data management systems is essential, along with familiarity with visualization platforms like Tableau or Power BI. Attention to detail, problem-solving, and effective written communication are critical soft skills, especially for conveying complex findings to stakeholders. These skills ensure accurate, actionable insights are delivered promptly to support decision-making and improve educational outcomes during off-peak hours.

What does an overnight educational data analyst do?

An Overnight Educational Data Analyst is responsible for collecting, processing, and analyzing educational data during night shifts to support school districts, universities, or educational organizations. Their work often involves preparing reports, identifying trends, and providing insights that help with decision-making in areas such as student performance, curriculum effectiveness, or resource allocation. The overnight aspect allows for data processing and report generation to be ready for daytime stakeholders. Analysts in this role use statistical tools and data visualization software to present findings in a clear manner. They may also ensure data integrity and troubleshoot any issues that arise during nighttime data operations.

What is the difference between Overnight Educational Data Analyst vs Day Educational Data Analyst?

AspectOvernight Educational Data AnalystDay Educational Data Analyst
Work HoursNight shifts, typically overnightDay shifts, regular daytime hours
Work EnvironmentOften in educational institutions or data centers during off-hoursStandard office or school hours in educational settings
Required CredentialsBachelor's degree in data analysis, education, or related field; proficiency in data toolsSame as Overnight Educational Data Analyst
Industry UsageUsed in institutions needing 24/7 data monitoring or overnight data processingCommon in regular educational data analysis roles

The main difference between an Overnight Educational Data Analyst and a Day Educational Data Analyst lies in their work hours and environment. Overnight analysts work during night shifts, often in specialized settings, while day analysts work during regular hours. Both roles require similar qualifications and are used across educational institutions to manage and analyze data effectively at different times.

What are the most commonly searched types of Educational Data Analyst jobs in Indiana? The most popular types of Educational Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Overnight Educational Data Analyst jobs? Cities in Indiana with the most Overnight Educational Data Analyst job openings:

Data Analyst

Indiana University

Indianapolis, IN โ€ข On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted yesterday

New


Job description

One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School of Medicine has a rich history of training geneticists and genetic counselors and providing genetic consultation and counseling services. Currently ranked 5th in the nation among Genetics Departments for National Institutes of Health (NIH) Funding, received in 2023, the department contributes to the understanding of numerous genetic conditions through the integration of basic research in genetic and genomic mechanisms, translational research in disease models, and clinical trials in rare and common genetic diseases.
Job Summary
Department-Specific Responsibilities
  • Develop, test, maintain, and troubleshoot software solutions and research data workflows using Python and SQL.
  • Design, optimize, and support database queries, data integrations, and related processes for NIH-funded and privately funded research studies.
  • Collaborate with investigators, research staff, and technical stakeholders to translate study requirements into secure, reliable, and maintainable technical solutions.
  • Develop and support data pipelines, workflow automation, and analytics or reporting platforms.
  • Help maintain the integrity, quality, security, and appropriate handling of research data.
  • Document technical designs, data processes, software changes, and operational support procedures.
  • Assist with troubleshooting and resolving software, database, and data-processing issues throughout the research lifecycle.
General Responsibilities
  • Provide experienced analysis of existing data and data structures and satisfies ad-hoc reporting/analysis requests.
  • Create reporting specifications for new reports/dashboards/analytical tools and perform testing/validation; ensures integrity, accessibility, and accuracy of reports/dashboards and data structures; review and approve user requests for access to reporting data and tools.
  • Consult with faculty and/or staff to identify new business reporting needs and provide guidance and interpretation of complex environments and data.
  • Document data analysis efforts (data sources, reporting specifications, tools, issue/problem resolutions).
  • Perform experienced analysis to interpret and determine validity and quality of data.
  • Perform migration and conversion of data as needed in support of analysis efforts.
  • Research and stay up-to-date on emerging technologies and tools and make recommendations for implementation to improve data analysis services and approaches.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, information science, or related field).
WORK EXPERIENCE
Required
  • 2 years of data analysis, reporting, or related experience.
Preferred
  • Experience supporting research, healthcare, scientific, or other data-intensive environments.
  • Experience with data integration, ETL/ELT processes, data quality practices, or automated data workflows.
  • Experience working with sensitive or regulated data and following applicable security, privacy, and data-governance requirements.
SKILLS
Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Possesses flexibility to work in a fast paced, dynamic environment.
  • Seeks to acquire knowledge in area of specialty.
  • Highly thorough and dependable.
  • Demonstrates a high level of accuracy, even under pressure.
Preferred
  • Maintains a high level of self-direction by seeking out opportunities to add value, rapidly learning what is needed, and taking ownership for results.
  • Experience developing software or data solutions using Python.
  • Demonstrated proficiency with SQL, including writing, troubleshooting, and optimizing complex queries.
  • Experience with one or more of the following database platforms: MySQL, PostgreSQL, or Microsoft SQL Server.
  • Experience with the Apache suite (Airflow, Superset, Doris) is a plus.
  • Experience with the SQL Server data management suite (SSRS, SSIS, SSMS) is a plus.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Additional Information
This position is grant funded with expected annual renewals. Renewals are contingent on the availability of grant funds.
This position is not eligible for visa sponsorship.
Work Location
IU Indianapolis
This is a fully remote position. However, this is subject to change in the future based on university policy and business needs.
Advertised Salary
$60,000.00 - 70,000.00 per year based on experience and internal equity within the department.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Career
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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