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Weekend Data Analyst Jobs in Ohio (NOW HIRING)

Rogue Fitness

Data Analyst

Columbus, OH · On-site

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain the sales, cost, and shipping. This role owns how our products are costed ...

Kiva Design

Data Analyst

Cincinnati, OH

Analyze data using data science and/or statistical methods * Collaborate with subject matter experts, internal/external stakeholders, software programmers, and customers to develop tools that meet ...

FirstEnergy

Data Analyst

Akron, OH

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical questions with a focus on C&DS key priorities and business initiatives. This position will generate ...

FirstEnergy Corp.

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical questions with a focus on C&DS key priorities and business initiatives. This position will generate ...

GXO Logistics

Data Analyst

New Albany, OH · On-site

Gather data and research the results using statistical techniques and advanced analytics tools; interpret results in a way that can be easily understood * Develop and implement advanced data research ...

Collabera

Data Analyst

Hilliard, OH

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining scope of impact Recommend options to resolve issues Find meaningful insights and communicate insights ...

Jobs for Humanity

Data Analyst

Cincinnati, OH

Basic understanding of SQL and data visualization tools (Excel, Power BI, Tableau, etc.). * Analytical mindset and attention to detail. Additional Information All your information will be kept ...

Materion

Sustainability Data Analyst

Cleveland, OH

The Sustainability Data Analyst will be responsible for collecting, compiling, calculating, analyzing, and reporting data related to Materion's global sustainability performance. Areas of focus ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth Key Accountabilities ...

SOPREMA USA

Senior Data Analyst

Wadsworth, OH · On-site

$81K - $103K/yr

Senior Data Analyst The Senior Data Analyst is responsible for leading complex data analysis initiatives, managing and maintaining robust BI environments, and delivering strategic insights to support ...

New

RAKS Group LLC

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Senior Data Analyst Type: Contract / C2C (temporary) Senior Data Analyst. Our client has a contract need for a Senior Data Analystto assist with their project to implement the Workday ERP system. The ...

Gifthealth Inc

Sr. Data Analyst

Columbus, OH

$83K - $104K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ensure seamless alignment across all analytics initiatives, performance measurement, and key insights.

Express & Bonobos

Customer Data Analyst

Columbus, OH

Location Name Columbus Corporate Headquarters Responsibilities POSITION OVERVIEW The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across ...

Concora Credit Inc.

Operations Data Analyst

Akron, OH · On-site

Overview As our Operations Data Analyst, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: The ...

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All JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Ohio

Weekend Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do weekend data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for weekend data analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

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.

What are Weekend Data Analysts?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Ohio? The most popular types of Data Analyst jobs in Ohio are:
What are popular job titles related to Weekend Data Analyst jobs in Ohio? For Weekend Data Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Ohio look for? The top searched job categories for Weekend Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Weekend Data Analyst jobs? Cities in Ohio with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 62% Full Time, 32% Part Time, 4% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.
Data Analyst

Data Analyst

Rogue Fitness

Columbus, OH • On-site

Full-time

Posted 10 days ago

Job description

Job Description:

Overview

The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain the sales, cost, and shipping. This role owns how our products are costed and shipped across the US, EU, Canada, and Australia. You'll develop the reporting leadership relies on, analyze carrier rates and surcharges, and respond to ad-hoc data requests that shape day-to-day business decisions. It carries a wide range of high-impact projects and significant room for ownership. Successful candidates are self-directed, organized, and eager to take problems from question through to solution.
The Data Analyst is a fully onsite role in Columbus, Ohio. Remote work is not available. Applicants must be authorized to work in the United States for any employer.

Responsibilities

  • Build, maintain, and automate sales, cost, and ecommerce reporting across multiple regions and currencies

  • Develop and maintain SQL/BigQuery queries to deliver clean, reliable data to business partners

  • Analyze shipping and freight costs, including carrier rates, surcharges, dim-weight, and peak-season increases. Quantify the impact of rate changes and contract proposals

  • Maintain landed-cost, COGS, and manufacturing P&L models, including cost tracking and duty/tax reconciliation, and audit them for accuracy and variances

  • Automate recurring reporting through scheduled jobs and scripting. Reduce manual work and future-proof existing processes

  • Respond to ad-hoc data and analysis requests from stakeholders and leadership to support pricing, sourcing, logistics

  • Identify issues and opportunities, then recommend and implement process and business improvements

Qualifications

  • Bachelor's degree in a relevant field (Finance, Accounting, Economics, Statistics, Data Analytics, or similar)

  • 0-3 years of analytics experience; new grads with strong relevant coursework, internships, or projects are encouraged to apply

  • Working knowledge of SQL (writing queries, joins, aggregations); exposure to BigQuery or another cloud data warehouse is a plus.

  • Advanced Microsoft Excel/Google Sheets skills, including building and maintaining complex models

  • Self-motivated and comfortable working in a fast-paced, deadline-driven environment with limited direction. A genuine go-getter who takes ownership

  • Strong organization and attention to detail across many concurrent projects

  • Familiarity with Python, R, or JavaScript preferred

  • Interest in or exposure to cost accounting, shipping/logistics, or manufacturing operations is a plus

By applying to Rogue, regardless of the platform you choose to use, you are agreeing to Rogue's preferred methods of communication (i.e. text message). Submitting an application, through whatever online forum is ultimately used, constitutes a knowing and voluntary agreement to send and receive text messages during the recruitment process.

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