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Data Transformation Jobs in Missouri (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Data Transformation information

See Missouri salary details

$43.1K

$154.8K

$228.4K

How much do data transformation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data transformation in Missouri is $154,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,500.00 per year, depending on experience, location, and employer.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

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

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What job categories do people searching Data Transformation jobs in Missouri look for?

The top searched job categories for Data Transformation jobs in Missouri are:

Infographic showing various Data Transformation job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $154,788 per year, or $74.4 per hour.

Data Scientist

PB consulting

Ferguson, MO • On-site

Full-time

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


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.