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Data Extraction Jobs in Ohio (NOW HIRING)

Verano

Extraction Lead

Canton, OH · On-site

$18 - $21/hr

As an Extraction Lead, you are responsible for the cannabis extraction process and the ... Maintain Material Safety Data Sheets (MSDS) for all chemicals and products. * Follow laboratory ...

Verano

Extraction Lead

Canton, OH

$18 - $21/hr

As an Extraction Lead, you are responsible for the cannabis extraction process and the ... Maintain Material Safety Data Sheets (MSDS) for all chemicals and products. * Follow laboratory ...

Verano

Extraction Lead

Canton, OH

$18 - $21/hr

As an Extraction Lead, you are responsible for the cannabis extraction process and the ... Maintain Material Safety Data Sheets (MSDS) for all chemicals and products. * Follow laboratory ...

Parker

Customer Intl Data Analyst Sr

Cleveland, OH · On-site

$83K - $105K/yr

... extraction and analytics, data quality, and database relational structures * Applicants must be authorized and certified to work in the United States and be eligible to handle ITAR- and Export ...

Transmap Corporation

GIS Technician

Columbus, OH · On-site

$45K - $75K/yr

Interpret, Analyze and extract roadway data from street-level imagery to provide location and descriptive information about roadway infrastructure to be used in GIS databases. Create, edit and manage ...

AlloBaas

Data Engineering Lead

Lakewood, OH · On-site

Oversee data extraction, ingestion, transformation, normalization, anonymization, validation, loading, and reconciliation processes. * Guide integration activities involving APIs, middleware, Azure ...

ALLOBAAS

Data Engineering Lead

Lakewood, OH · On-site

Oversee data extraction, ingestion, transformation, normalization, anonymization, validation, loading, and reconciliation processes. * Guide integration activities involving APIs, middleware, Azure ...

NiSource

Manager Data and Analytics

Columbus, OH · On-site

... data extraction language as well as 1 other programming language (Python, R, Java, etc.) • 2+ years of experience leading analytics developers or similar roles Preferred : • Advanced degree • ...

CareSource

Applied AI Scientist III

Dayton, OH

Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful ...

PNC Bank

Data Engineer Sr

Cleveland, OH

$111K - $133K/yr

Key responsibilities - - Design, Develop and maintain scalable and efficient data pipelines and ETL processes - Collaborate with analysts and stakeholders to gather requirements and implement data ...

Express & Bonobos

Customer Data Analyst

Columbus, OH · On-site

Proficiency in data extraction and analysis * Experience with Google Analytics and CRM or marketing automation platforms * Experience with data visualization and BI tools * Advanced Excel skills ...

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How much do data extraction jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data extraction in Ohio is $25.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.84 and $28.57 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the most commonly searched types of Data Extraction jobs in Ohio? The most popular types of Data Extraction jobs in Ohio are:
What are popular job titles related to Data Extraction jobs in Ohio? For Data Extraction jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Ohio look for? The top searched job categories for Data Extraction jobs in Ohio are:
What cities in Ohio are hiring for Data Extraction jobs? Cities in Ohio with the most Data Extraction job openings:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Ohio as of June 2026, with employment types broken down into 3% As Needed, 48% Full Time, 40% Part Time, and 9% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $53,580 per year, or $25.8 per hour.

Data Science Vice President - Consumer Bank

JPMorganChase

Columbus, OH • On-site

Full-time

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

Job description

Job Summary:
JPMorganChase is a leading financial services firm dedicated to helping customers achieve their financial goals. The Data Science Vice President will set the analytics strategy for deposit portfolio growth, lead a team of data professionals, and collaborate with business leaders to drive innovative analytics initiatives.
Responsibilities:
• Own the end-to-end analytics strategy and operating rhythm for deposit portfolio growth analytics, including account opening and attrition drivers
• Partner with stakeholders to define business questions, success measures, and analytical approaches that inform strategic decisions and investment choices
• Lead the design, execution, and interpretation of experiments, including consultation on experimental design and data collection approaches
• Build and enhance analytical solutions using SQL and modern statistical or machine learning techniques to deliver scalable insights
• Translate results into clear narratives and executive-ready materials, presenting findings to senior leaders, including the Chief Marketing Officer
• Drive innovation by identifying and delivering advanced analytics initiatives that improve measurement, targeting, and decision-making
• Mentor and develop junior data scientists through coaching, technical guidance, and feedback, serving as a subject matter expert in deposit growth dynamics
• Maintain a strong controls mindset to ensure accurate, timely, and well-governed analytical outputs
Qualifications:
Required:
• Bachelor's and Master's degree in a quantitative discipline (for example: Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, or Finance)
• Five or more years of experience applying statistical methods to real-world business problems
• Five or more years of experience writing SQL for data extraction, transformation, and analysis
• Five or more years of hands-on experience with at least one analytical tool (SAS, Python, or R)
• Experience building compelling data visualizations and communicating insights through clear, structured storytelling
• Demonstrated experience using AI-assisted development tools (for example: GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
• Strong written, verbal, and presentation skills, with experience communicating effectively to partners and leaders across levels
• Proven ability to lead workstreams from problem framing through delivery, including prioritization, stakeholder alignment, and quality control
Preferred:
• Marketing analytics experience, especially in acquisition, onboarding, retention, or customer lifecycle analytics
• Demonstrated ability to solve ambiguous, unstructured problems independently and turn them into practical analytical plans
• Strategic, business-outcome orientation with a track record of influencing decisions through data
• Strong relationship-building skills and ability to partner effectively across functions and teams
• People leadership experience, including hiring, mentoring, and developing diverse talent in an inclusive environment
• Experience in tableau and python preferred
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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