1

Weekend Data Analyst Jobs in Kettering, OH (NOW HIRING)

Data Analyst

Dayton, OH · On-site

$28 - $36/hr

MSD is looking for a Data Analyst to join our team! THIS IS AN IN-PERSON ROLE The Data Analyst serves as a strategic partner to the business by transforming complex data into meaningful insights that ...

DATA ANALYST

Dayton, OH · On-site

$69K/yr

DATA ANALYST FLSA STATUS: Exempt EMPLOYMENT STATUS : Full-Time CIVIL SERVICE STATUS: Unclassified REPORTS TO: Information Technology PAY GRADE: A21 WORK SCHEDULE: 40 Hours a week DISTINGUISHING JOB ...

New

DATA ANALYST

Dayton, OH · On-site

$65 - $90/hr

DATA ANALYST FLSA STATUS: Exempt EMPLOYMENT STATUS : Full-Time CIVIL SERVICE STATUS: Unclassified REPORTS TO: Information Technology PAY GRADE: A21 WORK SCHEDULE: 40 Hours a week DISTINGUISHING JOB ...

Data Analyst

Dayton, OH · On-site

$70 - $90/hr

Data Analyst** will work with a team to provide high-quality service to our customers in managing a portfolio of systems. This role is responsible for executing data management activities in data ...

Data Analyst

Mason, OH · On-site

$55 - $74/hr

Serve as a Data Analyst on the Business Configuration team, responsible for the structure, and benefit plan set up for clients. Provide subject matter expertise for product configuration in the ...

Associate Data Analyst Job No: 503834 Work Type: Staff Full Time (1500 hours or greater) Location: Dayton, OH Category: Research Institute Staff Department: Sustainment Bus Support Ser - 250723 Pay ...

Associate Data Analyst

Dayton, OH · On-site

$65 - $77/hr

Support encompasses data analysis of advanced manufacturing process data to improve efficiency and offer solutions for increased productivity. The candidate will be responsible for gathering and ...

Data Analyst Operations

Mason, OH · On-site

$42 - $47/hr

Serve as a Data Analyst on the Business Configuration team, responsible for the structure and benefit plan set up for managed vision care clients. * Provide subject matter expertise for product ...

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio. * Interprets and ...

* 3+ years' experience in Operations in the Healthcare industry * Experience understanding claim adjudication for member and provider reimbursements. * Experience with Facets platform using Claims ...

Data Analyst - GEOINT SME

Dayton, OH · On-site

$110K - $135K/yr

Data Analyst - GEOINT Technical SME Work Role: The Data Analyst work role encompasses a comprehensive skill set focused on leveraging data to enhance organizational performance, ensure security, and ...

New

Data Analyst - GEOINT Technical SME - Mid TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. Our expert team supports ...

next page

Showing results 1-20

Weekend Data Analyst information

See Kettering, OH salary details

$30.3K

$73.6K

$121.2K

How much do weekend data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend data analyst in Kettering, OH is $73,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,400.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

What are the most commonly searched types of Data Analyst jobs in Kettering, OH?

The most popular types of Data Analyst jobs in Kettering, OH are:

What job categories do people searching Weekend Data Analyst jobs in Kettering, OH look for?

The top searched job categories for Weekend Data Analyst jobs in Kettering, OH are:

What cities near Kettering, OH are hiring for Weekend Data Analyst jobs?

Cities near Kettering, OH with the most Weekend Data Analyst job openings:

$28 - $36/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Key responsibilities

  • Create, update, and review reporting and dashboards using Power BI, Microsoft Excel, and Power Automate.

  • Collaborate with stakeholders to understand requirements and deliver data-driven solutions, including reports, dashboards, and process documentation.

  • Develop scripting and perform data analysis using tools such as SQL, R, or Python on a project basis.


Job description

MSD is looking for a Data Analyst to join our team!

THIS IS AN IN-PERSON ROLE

The Data Analyst serves as a strategic partner to the business by transforming complex data into meaningful insights that drive informed decision-making and operational excellence. In this role, you will collaborate with leaders and cross-functional teams to understand business objectives, develop impactful reporting and interactive dashboards, and deliver data-driven solutions that improve efficiency, visibility, and performance across the organization. Leveraging tools such as Power BI, Microsoft Excel, Power Automate, SQL, Python, R, and other data analysis technologies, you will identify trends, uncover opportunities for process improvement, and provide actionable recommendations that support organizational goals.

The Data Analyst plays a key role in transforming data into meaningful business insights that drive smarter decisions across the organization. Using tools such as Power BI, Microsoft Excel, Power Automate, SQL, Python, and other data analysis technologies, this role develops impactful dashboards, reporting, and process documentation while partnering with stakeholders to identify opportunities, improve business processes, and deliver data-driven solutions that support organizational success.

Key Job Duties

  • Review, create, and update reporting and dashboards utilizing required system such as Power BI, Microsoft Excel, and Power Automate.
  • Communicate with appropriate team members and stakeholders to understand requirements and complete projects effectively.
  • Review, create, and update Standard Operating Procedure (SOP) documentation and maintain system functionality documentation.
  • Proactively communicates with Supervisor and business stakeholders around reporting and dashboard needs, ensuring clear understanding of requirements and timelines.
  • Work with team to develop clear and concise standard operating procedures for system usage and documents systems functionality.
  • Produce required reporting as needed on a project by project basis in systems such as: Power BI, Microsoft Excel, and/or Power Automate .
  • Produce required scripting and data analysis using data mining tools and techniques, such as SQL, R, Python, or similar on a project basis.
  • Partners with the Chief Information Officer, management, and business process owners to plan and execute on reporting and dashboard needs that support organizational goals.

Candidate Requirements:

  • Associate’s or Bachelor’s degree in Data Analytics, Information Systems, Business, or a related field preferred
  • High School Diploma/GED required
  • 2+ years of experience in data analysis, reporting, or business intelligence roles (or equivalent combination of education and experience)
  • Experience with Power BI, advanced Excel, and data analysis tools (SQL, Python, or R) is highly desirable
  • Able to communicate clearly in written and verbal English
  • US Citizenship or Permanent Resident Status required
  • Unencumbered US Driver’s license

Benefits:

  • FREE Training and Education
  • PTO
  • 401(k) match
  • Profit Sharing
  • Competitive Medical, Vision, and Dental
  • Health Savings Account match
  • Company paid Short- and Long-Term Disability
  • Company paid Life Insurance Policy

We value our employees and are committed to doing everything possible to ensure your continued growth and opportunities!

Mechanical Services & Design complies with applicable federal civil rights laws and does not discriminate, exclude people, or treat them differently because of race, color, ethnicity, religion, culture, language, national origin, age, disability, socioeconomic status, sex, sexual orientation, or gender identity or expression in its various programs and activities.