1

Data Translator Jobs in Texas (NOW HIRING)

Dot Net Developer ( Mid Level)

Houston, TX ยท On-site

$46 - $61/hr

... data translation, and data cleanup as part of larger projects to implement new SharePoint repositories. Perform regular on-call duties Participate in Design and Code Reviews Follow and enhance ...

... data science ... ICADS brings together expert mentors from across Moffitt's discovery, clinical, translational ...

Showing results 21-40

Data Translator information

See Texas salary details

$25.6K

$53.3K

$81.5K

How much do data translator jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data translator in Texas is $53,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $53,600.00 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 Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $53,291 per year, or $25.6 per hour.

MDM Consultant

Austin, TX โ€ข On-site

Avani Technology Solutions, Inc.
IT Servicesย โ€ขย 201 - 500 employees

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Position: System Analyst 2
Location: 1701 Congress Avenue, 6th Floor, Suite 6-115, Austin, Texas 78701.
Duration: 6 months (1540 Hours)
II. WORKER SKILLS AND QUALIFICATIONS
Minimum Requirements:
Years
Skills/Experience
8
Experience performing data and process analysis to identify and assess errors and anomalies and determine root cause; works with data owners to correct data generation/collection and business processes
8
Previous experience analyzing and standardizing data in Large EIM and Master Data Management projects and teams
6
Previous experience documenting data processes, business and technical metadata and preparing reports.
4
Has experience identifying, analyzing and resolving complex data issues across multiple environments.
4
Experience with data and dimensional modeling tools
4
Experience with Informatica or other ETL tools to perform data reconciliation, data standardization, data cleansing, risk data warehousing, and data mapping analysis for data translation activities
Strong
Communication, analytical and interpersonal skills at all levels
Strong
Ability to work on multiple projects or project assignments
Preferred:
Years
Skills/Experience
2
Previous Health and Human Services industry experience
Experience working with Texas Medicaid Management Information System (MMIS) data and Texas Integrated Eligibility Redesign System (TIERS) a plus
Bachelor's degree in Computer Science, Systems Engineering or equivalent experience