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Data Analyst Jobs in Ohio (NOW HIRING)

Sr. Data Analyst

Hilliard, OH · On-site

$85K - $110K/yr

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 ...

New

Data Analyst Intermediate Location: Columbus, OH 43240 - 100% on-site Duration: Contract - 11 months (potential extension; potential FTE) Pay Range: $34/hr (W2) About BCforward BCforward is a leading ...

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

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 ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS). * Analyze and tune underperforming reports and queries to improve ...

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 ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/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 ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/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 ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/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 ...

Analyze organizational data to identify trends, variations, and opportunities for improvement in service delivery, quality, client outcomes, and operational performance. * Prepare and submit accurate ...

Showing results 41-60

Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for 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 Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
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 cities in Ohio are hiring for Data Analyst jobs? Cities in Ohio with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Sr. Data Analyst

LHH US

Hilliard, OH • On-site

$85K - $110K/yr

Full-time

Posted 3 days ago

New


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.