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Data Translator Jobs in Missouri (NOW HIRING)

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors, ensuring insights inform critical decisions.

Excel * Google Sheets * forecasting * revenue modeling * territory management Soft Skills * analytical skills * problem‑solving * communication * stakeholder management * data translation ...

Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

... translation into a functional system. * Provide best practice knowledge to support optimal design and operation of all Data and Analytical related services. * Identify best practices for data ...

Data Engineer II

Saint Louis, MO

$111K - $133K/yr

... translation into a functional system. * Provide best practice knowledge to support optimal design and operation of all Data and Analytical related services. * Identify best practices for data ...

Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

... translation into a functional system. * Provide best practice knowledge to support optimal design and operation of all Data and Analytical related services. * Identify best practices for data ...

$77K - $116K/yr

... data, education, experience, qualifications, expertise of the individual, and internal equity ... translational, and health services research. This position functions as a shared departmental ...

... translation of wireframes and creative designs into functional requirements, and subsequently into ... Perform data extraction, transformation, and analysis using advanced SQL techniques. * Collaborate ...

... translation of wireframes and creative designs into functional requirements, and subsequently into ... Perform data extraction, transformation, and analysis using advanced SQL techniques. * Collaborate ...

... translation of wireframes and creative designs into functional requirements, and subsequently into ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a ...

... translation of wireframes and creative designs into functional requirements, and subsequently into ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a ...

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Showing results 1-20

Data Translator information

See Missouri salary details

$25.8K

$53.7K

$82.1K

How much do data translator jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data translator in Missouri is $53,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,300.00 and $53,900.00 per year, depending on experience, location, and employer.

What is a data translator?

A Data Translator acts as a bridge between data scientists and business stakeholders, ensuring that data insights are clearly understood and effectively applied. They translate complex analytical findings into actionable business strategies, helping organizations make data-driven decisions. This role requires a mix of technical knowledge, business acumen, and communication skills to align data initiatives with business goals.

What are the typical collaboration dynamics for a data translator within an organization?

Data Translators often work at the intersection of technical teams (like data scientists or engineers) and business stakeholders, facilitating clear communication and actionable insights. They translate complex data results into language and formats that non-technical teams can use for strategic decision-making, frequently participating in meetings with both groups. Close collaboration is common, and Data Translators may lead workshops, gather business requirements, and help prioritize data projects. This collaborative dynamic ensures organizational goals are aligned with the insights and capabilities of the analytics team, making the Data Translator a critical connector in data-driven organizations.

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

To thrive as a Data Translator, you need a strong analytical background, proficiency in interpreting data, and a good understanding of both business operations and technical concepts, often supported by a degree in analytics, business, or a related field. Familiarity with analytics tools (such as Tableau, Power BI, or SQL) and certifications in data literacy or business analytics are commonly valued. Exceptional communication, problem-solving abilities, and stakeholder management skills are key soft skills for this role. These skills are crucial because Data Translators bridge the gap between data teams and business leaders, ensuring data-driven decisions are understandable and actionable.

What does a data translator do?

A data translator bridges the gap between data scientists and business teams by interpreting complex data insights into understandable, actionable information. They often work with data visualization tools and require strong communication skills to ensure technical findings support decision-making processes.
Infographic showing various Data Translator job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $53,654 per year, or $25.8 per hour.

Senior Manager, Data Products - Therapeutic Area

Jobtailor

California, MO • On-site

$150 - $190/hr

Other

Posted 7 days ago


Job description

  • Own the delivery of TA‑facing data products, translating scientific and analytics use cases into clear functional and technical requirements.
  • Contribute to and execute a TA data product roadmap aligned with enterprise data strategy, spanning discovery, translational research, clinical development, and real‑world evidence.
  • Lead or support agile product delivery, ensuring adherence to FAIR data principles (Findable, Accessible, Interoperable, Reusable).
  • Drive integration and harmonization of internal and external data sources, including clinical trial data, omics, imaging, competitor intelligence, registries, and RWE datasets.
  • Contribute to the development, curation, and application of TA ontologies to ensure semantic consistency across discovery, clinical, regulatory, and real‑world data.
  • Align TA semantic models and metadata with enterprise standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
  • Partner with ontology, metadata, and governance teams to ensure data products are AI‑ready and semantically enriched.
  • Partner closely with TA Data Science, clinical, translational, and scientific stakeholders to co‑design data products that maximize scientific and analytics value.
  • Collaborate with Data Product Architecture & Governance, Knowledge Management, and Master Data Management teams to ensure seamless integration into enterprise knowledge graphs, catalogs, and platforms.
  • Interface with IT, compliance, and regulatory partners to ensure data products meet quality, privacy, and global regulatory expectations.
  • Provide day‑to‑day leadership and technical direction to product owners, data engineers, and TA data domain experts.
  • Support the implementation of governance models, agile practices, and delivery standards for TA data products.
  • Act as a coach and mentor, strengthening product, semantic, and data literacy capabilities within the team.
  • Define and monitor product‑level KPIs to assess impact on scientific insights, analytics velocity, trial efficiency, and regulatory outcomes.
  • Communicate progress, outcomes, and value realization to TA leadership, Data Science teams, and broader stakeholders.
  • Actively champion adoption, reuse, and data literacy within the TA community.
Requirements
  • PhD or Master’s degree in Informatics, Computer Science, Data Science, Life Sciences, or a related discipline.
  • 6–10+ years of experience in pharma/biotech R&D with a focus on data products, data engineering, analytics platforms, or data science.
  • Demonstrated experience delivering domain‑specific data products within a Therapeutic Area or scientific domain.
  • Hands‑on experience with multi‑modal data, including omics, imaging, translational, clinical trial data, and/or RWD/RWE.
  • Strong understanding of data product design, data modeling, data integration, and data transformation.
  • Familiarity with research, clinical development, and regulatory data requirements.
  • Working knowledge of metadata management, ontologies, semantic models, and knowledge graphs.
  • Experience aligning with industry and enterprise data standards (e.g., CDISC, GA4GH, FHIR).
  • Strong collaboration, communication, and influence skills, with the ability to bridge scientific, technical, and business perspectives.
  • Proven ability to drive adoption and change in a complex, matrixed organization.
Core Competencies

Expertise in delivering data products within therapeutic areas, with a strong focus on data integration, modeling, and transformation. Proven ability to collaborate across scientific, technical, and business domains while adhering to industry standards and regulatory requirements.

Highest-signal resume keywords
  • PhD Or Master’s Degree In Informatics
  • 6–10+ Years Of Experience In Pharma/Biotech R&D
  • Hands-On Experience With Multi-Modal Data
  • Strong Understanding Of Data Product Design
  • Experience Aligning With Industry Data Standards
ATS Optimization Keywords Hard Skills
  • Data Product Delivery
  • Data Engineering
  • Data Integration
  • Data Modeling
  • Data Transformation
  • Multi-Modal Data Analysis
  • Clinical Trial Data Management
  • Ontologies Development
  • Metadata Management
  • Semantic Models
Soft Skills
  • Collaboration
  • Communication
  • Influence
  • Coaching
  • Mentoring
Industry Keywords
  • Therapeutic Area
  • Real-World Evidence
  • Clinical Development
  • Regulatory Data Requirements
  • CDISC
  • GA4GH
  • FHIR
Tools & Technologies
  • Knowledge Graphs
  • Agile Practices
  • Data Analytics Platforms
  • FAIR Data Principles
  • Enterprise Data Strategy
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