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Data Preparation Jobs (NOW HIRING)

Senior Principal Data Analyst

Atlanta, GA

$82.70K - $104.30K/yr

You'll be responsible for leading data preparation and transformation processes, ensuring that our data is clean, accurate, and ready for analysis. Your expertise in developing advanced Power BI ...

Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. * Experience in the optimization ...

Research Data Engineer

Carlsbad, CA

$118.80K - $142.60K/yr

We are seeking a Research Data Engineer to support clinical research activities by building and maintaining reliable data pipelines and preparing high-quality datasets for researchers and analysts.

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Own the data preparation for monthly reports to insurance partners. * Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting). Billing System Data ...

Prepare, manage, and optimize curated data sets within the data lake and data warehouse to support machine learning, forecasting, and advanced analytics initiatives. * Perform end-to-end data testing ...

Our work includes data preparation and transformation, discovery analysis, experimental design, campaign measurement, dashboard development, and strategic recommendations sourced from the data. The ...

Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team ...

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110.30K - $132.40K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

Data & AI Engineer

$117.20K - $140.70K/yr

Perform data preparation, transformation, and consolidation * Support integration of prepared data into GenAI workflows * Assist with generating summaries and structured outputs via LLMs * Ensure ...

Data Engineer

Washington, DC · On-site +1

$129.70K - $155.70K/yr

Using modern data preparation, integration and metadata management tools and techniques. * Tracking data consumption patterns. * Monitoring schema changes. * Recommending and automating - existing ...

Data/ML Ops Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Key Responsibilities Prepare structured and unstructured data for RAG pipelines. Configure and manage vector databases and embeddings. Collaborate with AI engineer to integrate data into demo ...

These include preliminary data exploration and data preparation steps, variable/algorithm selection and model development/validation and scoring. With guidance, develop and test algorithms' efficacy ...

This role will assist with data preparation, dashboard development, AI-driven workflow improvements, and reporting tasks to help drive insight and operational effectiveness across the organization.

Prepare structured and unstructured data for RAG pipelines. * Configure and manage vector databases and embeddings. * Collaborate with AI engineer to integrate data into demo workflows. * Ensure ...

Collaborate with engineers, analysts, data scientists, and other stakeholders to support reporting, analytics, and AI/ML data preparation workflows. * Integrate data pipelines into DevSecOps / CI/CD ...

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Data Preparation information

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How much do data preparation jobs pay per hour?

As of May 30, 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 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 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 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.
What are the most commonly searched types of Data Preparation jobs? The most popular types of Data Preparation jobs are:
What states have the most Data Preparation jobs? States with the most job openings for Data Preparation jobs include:
Infographic showing various Data Preparation job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $53,606 per year, or $25.8 per hour.
Senior Principal Data Analyst

Senior Principal Data Analyst

OneTrust

Atlanta, GA

$82.70K - $104.30K/yr

Other

Posted 8 days ago


Job description

The Challenge

As a Senior Principal Data Analyst at One Trust, you will play a strategic role in driving data-driven decision-making across the organization. While your impact may span multiple functions, you will work closely with the Product R&D team to ensure analytics efforts align with key business objectives. You'll be responsible for leading data preparation and transformation processes, ensuring that our data is clean, accurate, and ready for analysis. Your expertise in developing advanced Power BI dashboards and your ability to perform in-depth data analysis will support various business operations and help us stay ahead in a fast-paced environment. We are seeking a highly analytical and results-oriented leader who excels in cross-functional collaboration, communicates with confidence, and leverages data to drive measurable business impact. 

Your Mission
  • Develop and maintain advanced Power BI dashboards and reports that provide clear and actionable insights. 

  • Partner with business leaders in product, finance, marketing, and/or customer experience to uncover insights and identify opportunities. 

  • Conduct data preparation, transformation, and cleaning processes to ensure the integrity and readiness of data for analysis. 

  • Apply advanced statistical techniques, including causal inference methods, to analyze complex datasets and derive actionable insights. 

  • Ensure data accuracy and consistency across all reporting, maintaining high standards for data quality. 

  • Translate data findings into clear and actionable recommendations for stakeholders through reports, presentations, and interactive dashboards. 

  • Mentor and guide junior analysts, ensuring adherence to best practices in data analysis and visualization. 

You Are
  • Bachelor's Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.). 

  • 8+ years of experience using analytical and statistical methods to support and drive critical business outcomes. 

  • Demonstrated success in supporting and influencing business strategy from an analytics perspective. 

  • Advanced experience with SQL and Python for data analysis - strong need for product analytics experience in a B2B environment.  

  • Some Power BI experience is preferred. 

  • Strong quantitative, analytical, and problem-solving skills; must be very comfortable with data analysis and driving decision-making. 

  • Effective communicator who can break down technical concepts into business vernacular. 

  • A bias for action-willingness to build a prototype and improve based on learnings, without letting perfection be the enemy of progress. 

  • Natural curiosity to dive into details with a strong analytical mindset. 

Extra Awesome 
  • Product analytics experience in a SaaS industry using product telemetry data to drive insights into product improvements. 

  • Experience using back-end data from Jira, Anaplan, and Aha! 

  • Experience with ETL processes, especially utilizing DBT and Snowflake. 

  • Graduate Degree with a quantitative focus.Â