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Data Preparation Jobs (NOW HIRING)

PB consulting

Data Scientist

Venice, IL · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Glen Carbon, IL · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Saint Louis, MO · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Breckenridge Hills, MO · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

East Carondelet, IL · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Clayton, MO · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Brentwood, MO · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Saint Louis, MO · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Brooklyn, IL · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Overland, MO · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Bridgeton, MO · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Columbia, IL · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

PB consulting

Data Scientist

Dupo, IL · On-site

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. * Design and define data structures and storage approaches for unstructured and ...

VSolvit

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

The Data Analyst I will support data collection, data preparation, reporting, and visualization activities. This position will assist with transforming operational and business data into clear ...

QDStaff

Data Scientist Gaming

Boca Raton, FL · On-site

Required : • Proven success and ownership of analytics work end to end, including data preparation, analysis, reporting, and decision support • Hands-on responsibility for defining and owning ...

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How much do data preparation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data preparation in the United States is $25.77, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $29.81 per hour, depending on experience, location, and employer.

What is a data preparation?

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 does a data preparation do?

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.

What are the key skills and qualifications needed to thrive in data preparation, 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.

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Data Preparation jobs near you
Infographic showing various Data Preparation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $53,606 per year, or $25.8 per hour.

Data Scientist

Venice, IL • On-site

PB consulting
See more jobs at PB consultingexternal

Full-time

Posted 23 days ago

Key responsibilities

  • Analyze large and complex structured and unstructured datasets to identify trends, patterns, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address business problems.

  • Collaborate with data and business teams to understand requirements and deliver effective data science solutions.

Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities

  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience

  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.

Apply