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Data Preparation Jobs in Ohio (NOW HIRING)

VENESCO LLC

Data VIsualization Specialist

Dayton, OH · On-site

Expert-level capability in data preparation, cleansing, modeling, optimization, and analysis of complex datasets. * Proficiency with visualization and analytics tools such as Tableau, Power BI, SAS ...

VENESCO, LLC

Data VIsualization Specialist

Dayton, OH · On-site

Expert-level capability in data preparation, cleansing, modeling, optimization, and analysis of complex datasets. * Proficiency with visualization and analytics tools such as Tableau, Power BI, SAS ...

Venesco LLC

Data VIsualization Specialist

Dayton, OH · On-site

$110K - $125K/yr

Expert-level capability in data preparation, cleansing, modeling, optimization, and analysis of complex datasets. * Proficiency with visualization and analytics tools such as Tableau, Power BI, SAS ...

Bestica Inc.

Data Visualization Specialist

Dayton, OH · On-site

Possess expert-level skills in data preparation, including handling diverse and complex datasets, and preparing them for visualization using methods that may include optimization, modeling, and ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

... preparation techniques to improve data integration and consumption Collaborate with data governance teams to review, validate, and promote business and data science assets into the curated data ...

BESTICA INC

Data Visualization Specialist

Houston, OH · On-site

Possess expert-level skills in data preparation, including handling diverse and complex datasets, and preparing them for visualization using methods that may include optimization, modeling, and ...

Qnity

Senior Data Scientist

Delaware, OH

The applicant should have fluent coding skills in R or Python with the ability to prepare data for analysis, build models, and create descriptive plots and reports. Beyond these technical skills, the ...

PNC Bank

Data Engineer

Strongsville, OH · On-site

$105K - $126K/yr

Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development. * Designs and builds data service ...

Xavier University

Data Services Librarian

Cincinnati, OH · On-site

$57K - $60K/yr

Experience with data preparation, organization, and visualization methodologies and tools * Awareness of data preservation best practices * Familiarity with Canvas or a similar learning management ...

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Data Preparation information

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How much do data preparation jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data preparation in Ohio is $23.56, according to ZipRecruiter salary data. Most workers in this role earn between $12.74 and $27.25 per hour, depending on experience, location, and employer.

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

To thrive in Data Preparation, you should possess strong analytical skills, attention to detail, and proficiency in managing large datasets, often supported by a background in statistics, mathematics, or computer science. Familiarity with data wrangling tools such as SQL, Python (pandas), or specialized ETL software is typically required, and certifications in data analytics or data engineering are advantageous. Excellent problem-solving abilities, communication skills, and adaptability stand out in this role. These skills ensure data quality, streamline data workflows, and support effective collaboration with analysts and data scientists to drive organizational insights.

What jobs make $1,000,000 a year?

In data preparation roles, earning $1,000,000 annually is uncommon; such high salaries are typically associated with executive positions, specialized consulting, or entrepreneurial ventures. Highly experienced data professionals in leadership or niche fields may reach this level, often requiring advanced skills, certifications, and extensive industry experience.

What are some typical daily tasks for someone working in Data Preparation?

A Data Preparation professional typically spends their days gathering, cleaning, and organizing raw data from various sources to make it ready for analysis. This involves identifying data discrepancies, standardizing formats, and collaborating with data analysts or engineers to resolve data quality issues. You may also automate parts of the data pipeline, document processes, and troubleshoot issues to ensure data accuracy and reliability. Working closely with cross-functional teams ensures that the data provided meets the needs of different business or research objectives. Mastery of these daily responsibilities enables smoother downstream analysis and a critical foundation for data-driven decision-making.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the job description of data preparation?

Data preparation involves cleaning, transforming, and organizing raw data to ensure it is accurate, complete, and suitable for analysis. This process includes tasks such as removing duplicates, handling missing values, and formatting data using tools like Excel, SQL, or data processing software. Data preparation is a critical step in data analysis and machine learning workflows.

What is a Data Preparation job?

A Data Preparation job involves collecting, cleaning, structuring, and transforming raw data into a usable format for analysis or machine learning. Professionals in this role ensure data quality by handling missing values, removing duplicates, and standardizing formats. They work with databases, ETL tools, and programming languages like SQL or Python. Data preparation is crucial for accurate analytics, reporting, and AI model performance.

What is the role of data preparation?

Data preparation involves cleaning, transforming, and organizing raw data to ensure it is accurate, consistent, and suitable for analysis or modeling. Data preparation specialists use tools like Excel, SQL, or data processing software to improve data quality and facilitate efficient analysis. This step is essential for reliable insights and effective decision-making in data-related roles.
What are popular job titles related to Data Preparation jobs in Ohio? For Data Preparation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Preparation jobs in Ohio look for? The top searched job categories for Data Preparation jobs in Ohio are:
Data Preparation jobs near you
Infographic showing various Data Preparation job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $49,003 per year, or $23.6 per hour.

Data VIsualization Specialist

VENESCO LLC

Dayton, OH • On-site

Full-time

Posted 14 days ago

Job description

Description:

The Data Visualization Specialist supports Public Health programs by transforming complex health, surveillance, and operational data into actionable visual insights for military leaders and decision-makers. The position combines data integration, analytics, dashboard development, business intelligence, and knowledge management to improve situational awareness and support evidence-based decision-making across the Air Force public health enterprise.

Requirements:
  • Master's degree or Bachelor's degree with at least four years of experience in Data Science, Computer Science, Operations Research, or a related technical discipline.
  • Strong knowledge of data visualization principles, information management, and data administration, with 2-4 years of relevant experience.
  • Experience integrating and managing data from multiple health, surveillance, and military systems.
  • Expert-level capability in data preparation, cleansing, modeling, optimization, and analysis of complex datasets.
  • Proficiency with visualization and analytics tools such as Tableau, Power BI, SAS, Python, and R.
  • Ability to communicate complex technical information effectively to senior leaders and diverse stakeholders.
  • Ability to obtain and maintain HIPAA compliance training and protect sensitive health information.