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Weekend Data Analytics Jobs in Columbus, OH (NOW HIRING)

LHH US

Sr. Data Analyst

Hilliard, OH · On-site

$85K - $110K/yr

Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, or a related field. * 5+ years of progressive experience in data analysis, business ...

EASE Logistics

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

Recommend and implement process improvements within the analytics function. * Uphold data governance, security, and confidentiality standards across all reporting environments. * Participate in ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Recommend and implement process improvements within the analytics function. * Uphold data governance, security, and confidentiality standards across all reporting environments. * Participate in ...

CapTech Consulting

Data Analyst

Columbus, OH · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct data quality analysis and provide recommendations for effective quality assurance processes that ...

centralins

Data Analyst

Dublin, OH · Hybrid

In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting ...

centralins

Data Analyst

Van Wert, OH · Hybrid

In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting ...

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Showing results 21-40

All JobsData Analytics JobsWeekend Data Analytics JobsWeekend Data Analytics Jobs in Columbus, OH

Weekend Data Analytics information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

How much do weekend data analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend data analytics in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may occasionally work on weekends to meet project deadlines or analyze time-sensitive data. Weekend work is more common in roles with urgent reporting needs or in industries that operate 24/7, and it often depends on the company's policies and project requirements.

What are the most commonly searched types of Data Analytics jobs in Columbus, OH?

The most popular types of Data Analytics jobs in Columbus, OH are:

Weekend Data Analytics jobs near you

Sr. Data Analyst

LHH US

Hilliard, OH • On-site

$85K - $110K/yr

Full-time

Posted 18 days ago

Job description

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform complex operational data into actionable business insights. This position plays a critical role in supporting warehouse operations, transportation, inventory management, and executive decision-making through advanced analytics and reporting.
The ideal candidate is highly analytical, thrives in a fast-moving environment, and can adapt quickly as business priorities evolve. This is an excellent opportunity for a data professional who enjoys solving complex problems, partnering with cross-functional leaders, and driving continuous improvement through data-driven decision-making.
Key Responsibilities
  • Develop, maintain, and optimize interactive dashboards and reports using Power BI to provide visibility into key operational and financial metrics.
  • Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases.
  • Analyze distribution, inventory, logistics, fulfillment, transportation, and customer service data to identify trends, risks, and improvement opportunities.
  • Partner with leadership and business stakeholders to understand reporting needs and deliver actionable insights that support strategic objectives.
  • Build and maintain data models, KPIs, scorecards, and forecasting tools to measure operational performance.
  • Investigate data discrepancies and collaborate with IT and business teams to improve data integrity and reporting accuracy.
  • Identify process improvement opportunities and recommend solutions that increase efficiency, reduce costs, and enhance operational performance.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Support ad hoc reporting requests and special projects in a dynamic, high-growth environment.
  • Mentor junior analysts and help establish analytics best practices across the organization.
Qualifications
  • Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, or a related field.
  • 5+ years of progressive experience in data analysis, business intelligence, reporting, or a related analytics role.
  • Advanced proficiency with SQL, including complex queries, joins, stored procedures, and data manipulation.
  • Strong experience developing dashboards, visualizations, and reporting solutions in Power BI.
  • Experience analyzing large datasets and translating findings into actionable business recommendations.
  • Strong understanding of data modeling, data validation, and reporting best practices.
  • Excellent communication and presentation skills with the ability to influence decision-makers.
  • Proven ability to manage multiple priorities and adapt quickly in an ever-changing business environment.
  • Experience within distribution, logistics, supply chain, warehousing, manufacturing, or transportation industries is strongly preferred.
Preferred Qualifications
  • Experience working with ERP, WMS, TMS, or other operational systems.
  • Knowledge of data warehousing concepts and ETL processes.
  • Exposure to predictive analytics, forecasting, or statistical analysis.
  • Experience leading analytics projects and collaborating across multiple departments.
Pay Details: $85,000.00 to $110,000.00 per year
Search managed by: Zachary Sanders
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.