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Big Data Analyst Jobs in Ohio (NOW HIRING)

Senior Data Analyst

Mason, OH ยท On-site

$80K - $102K/yr

Required strong analytical acumen with the ability to uncover insights and create stories by ... Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop ...

We are seeking a Data Engineer to help support large-scale enterprise big data platforms. This team ... Ideal candidates thrive in problem-solving environments, help shape analytical solutions, and ...

New

$85.48 - $136.77/hr

Big Data- & KI-Plattform-Architekt (m/w/d) An einem unserer Standorte deutschlandweit. In unserem Fachbereich Big Data entwickeln wir intelligente IT-Lรถsungen - von der Strategie รผber die ...

New

Big Data Training and Placement

Columbus, OH

$51.25 - $66.50/hr

Company Description ERP Analysts Inc . an Oracle Platinum Partner specialized in Oracle product licensure, implementations, upgrades and production support for PeopleSoft, Fusion Applications, Fusion ...

Big Data Training and Placement

Franklin, OH ยท On-site

$48.75 - $63.25/hr

Company Description ERP Analysts Inc . an Oracle Platinum Partner specialized in Oracle product licensure, implementations, upgrades and production support for PeopleSoft, Fusion Applications, Fusion ...

$103K - $132K/yr

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training ... Conducts data exploration, analysis, and feature extraction techniques to incorporate into DoD ...

$103K - $132K/yr

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training ... Conducts data exploration, analysis, and feature extraction techniques to incorporate into DoD ...

Support the aligned Data & Analytics lead for their product by identifying data required to be ... Technical knowledge of data management and governance, big data platforms, or data architecture.

Co-Founder for B2B Fintech / Big Data / Data Scientist Our client is a promising B2B FinTech that ... They have a brilliant B2B business-model in credit-scoring based on data-analytics. The job ...

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Showing results 1-20

Big Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do big data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for big 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.

How does a big data analyst typically collaborate with data engineers and business stakeholders on projects?

A Big Data Analyst often works closely with data engineers to ensure data pipelines are properly structured and that the necessary data is accessible and clean for analysis. Collaboration with business stakeholders is also key, as analysts translate business goals into analytical questions and present insights in a way that supports decision-making. Frequent communication and iterative feedback cycles are common, with analysts acting as a bridge between technical teams and business units to ensure data-driven solutions align with organizational objectives.

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

To thrive as a Big Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools like Hadoop, Spark, SQL, and certifications in data analytics platforms are highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and share findings with stakeholders. These skills ensure accurate data-driven decision-making and enable organizations to extract meaningful value from large and complex data sets.

What is the difference between Big Data Analyst vs Data Scientist?

AspectBig Data AnalystData Scientist
CredentialsBachelor's in Data Analysis, Statistics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentData analysis teams, business units, IT departmentsResearch teams, data science departments, R&D divisions
Employer & IndustryTech, finance, healthcare, retailTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Big Data Analysts focus on processing and analyzing large datasets to extract actionable insights, often using tools like SQL and Hadoop. Data Scientists build predictive models and develop algorithms, requiring advanced statistical and programming skills. While both roles work with big data, Data Scientists typically engage in more complex modeling and research tasks, whereas Big Data Analysts concentrate on data interpretation for business decisions.

How much does a Big Data Analyst make?

The average salary for a Big Data Analyst typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Hadoop, Spark, and data visualization tools tend to earn higher salaries, especially with certifications and advanced expertise.

What does a Big Data Analyst do?

A Big Data Analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like SQL, Hadoop, or Spark and often require strong analytical skills and knowledge of data visualization. Their work helps organizations optimize operations and develop data-driven strategies.
Infographic showing various Big Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

$54 - $71.25/hr

Full-time

Re-posted 25 days ago


Job description

Please find the requirement below. let me know your interest with Updated resume
Top Three Skills:
1. SCALA Developer who has used Spark, and has a strong understanding of Kafka ... ***will consider strong JAVA
2. Data Engineering - moving data from source systems (SAP, WMS, Order Mgt., Oracle/DB2). This person would also need to engineer and stage it.
3. Hadoop - on prem., MapR distribution (would also look at experience w/HortonWorks or Cloudera)
4. Experience pulling data from Supply Chain systems
Job Description:
L Brands is looking for a Big Data Engineer responsible for supporting Big Data analytics. Work closely with business partners to translate complex functional and technical requirements into high performing Big Data systems. Work on multiple projects as a technical lead
to develop, test, and deliver Big Data solutions.
Additional Information:
-Conducts logical and physical database design
-Identifies unique opportunities to collect new data.
-Designs ETL processes and data pipelines to build large, complex data sets.
-Strategizes new uses for data and its interaction with data design.
-Finds new uses for existing data sources.
-Conducts statistical modeling and experiment design.
-Discovers "stories" told by the data and presents them to business partners
-Tests and validates predictive models.
-Builds data visualization prototypes.
-Implements automated processes for efficiently producing scale models.
-Designs, modifies and builds new dataprocesses.
-Implement, configure, administer, monitor Hadoop clusters
-Implements new or enhanced software designed to access and handle data more efficiently.
-Prepare and communicate status, issues, and opportunities to the business.
-Provides technical assistance to junior team members
-Create, refine and enforce data management standards, policies, and procedures.
-Evaluates emerging Big Data technologies to develops next-generation Big Data analytics framework
-Responsible for problem escalation to appropriate L Brands teams and third parties as appropriate.
-Provide 24x7 on-call support
Authority:
-Recommend expenditures as required to meet Big Data support requirements.
-Recommend the initiation of Big Data support activities and projects .
-Recommend Big Data standards/directions/technologies.
Qualifications:
Required:
-4 year degree in Information Systems or an equivalent combination of course work
and job experience
-4-6 years experience with Big Data technologies and analytics