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Data Translator Jobs (NOW HIRING)

Persistent Systems

Data Analyst

Manhattan, NY · On-site

The ideal candidate is a disciplined problem solver and an effective "data translator" who can move comfortably between business questions and technical details. They combine strong SQL, data ...

Acara Solutions

Mandarin Translator

Phoenix, AZ · On-site

$28 - $35/hr

Job Title: Mandarin Translator Location: Phoenix, AZ Employment Type: Temp to Hire Industry ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Agropur

Operations Trainer - Translator

Le Sueur, MN · On-site

$48K - $62K/yr

Draft SOPs/job content as necessary to enhance work quality. * Assist Human Capital in conducting two-week new hire check-ins and capture data. * Assist in employee relations situations as translator ...

Agropur

Operations Trainer - Translator

Le Sueur, MN

$48K - $62K/yr

Draft SOPs/job content as necessary to enhance work quality. * Assist Human Capital in conducting two-week new hire check-ins and capture data. * Assist in employee relations situations as translator ...

REVOLVE

Data Analyst, Merchandising

Cerritos, CA · On-site

$100K - $110K/yr

Act as the "data translator" within the merchandising team, ensuring analytics are always framed within the context of storytelling Required Competencies: To perform the job successfully, an ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for ... Bachelor's degree in Translation and Interpretation * Linguist with native or near-native ...

SOSi

SCA Foreign Language Translator

$45K - $58K/yr

Overview SOS International LLC (SOSi) is seeking SCA Foreign Language Translators in a variety of ... The equipment and software may include audio recording machines, computerized word processor/data ...

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Data Translator information

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$27.5K

$57.2K

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How much do data translator jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data translator in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 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.
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Data Translator jobs near you
Infographic showing various Data Translator 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 $57,200 per year, or $27.5 per hour.

Data Analyst

Manhattan, NY • On-site

Persistent Systems
Software Development • 51 - 200 employees
Learn more about Persistent Systemsexternal

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Description & Responsibilities
Persistent Systems is seeking a Data Analyst to join our team in our New York City headquarters. The Data Analyst will transform complex operational, financial, customer, product, and program data into accurate, timely, and actionable insights. This role will build trusted datasets, semantic models, dashboards, and analyses that help leaders understand performance, identify opportunities, manage risk, and make evidence-based decisions.
The ideal candidate is a disciplined problem solver and an effective "data translator" who can move comfortably between business questions and technical details. They combine strong SQL, data preparation, visualization, statistical reasoning, and stakeholder communication skills with a sharp eye for data quality and user experience.
Position Responsibilities
  • Own analytical work from requirements discovery and source-data assessment through transformation, modeling, validation, visualization, delivery, and ongoing support
  • Partner with leaders and subject-matter experts across Finance, Operations, Marketing, Sales, Product, and other functions to define key performance indicators (KPIs), reporting logic, and success measures
  • Develop reliable, reusable analytics assets and clear documentation so that metrics, assumptions, transformations, and data lineage can be understood and maintained
  • Apply statistical and analytical methods appropriate to the business question, communicate uncertainty and limitations, and distinguish correlation from evidence of causation
  • Promote secure, governed, accessible, and responsible use of data while improving self-service analytics across the organization
  • Design, build, and maintain intuitive dashboards, scorecards, semantic models, and recurring reports using Power BI as the primary platform and Tableau where appropriate
  • Write, review, and optimize complex SQL queries across relational databases, cloud warehouses, and Lakehouse platforms; reconcile results to source systems and explain query logic
  • Clean, profile, map, join, and transform structured and semi-structured data using Power Query, Python/pandas, spreadsheets, and related tools; design fact and dimension models using star-schema principles
  • Build or contribute to repeatable extraction, transformation, and loading workflows using frameworks and platforms such as dbt, Azure Data Factory, Fabric Data Factory, AWS Glue, and Databricks; monitor failures and document lineage
  • Analyze historical and current data to identify trends, drivers, anomalies, risks, and opportunities; perform segmentation, variance analysis, forecasting, cohort analysis, and experiment analysis when relevant
  • Create validation rules, reconciliations, exception reporting, and quality checks; investigate discrepancies, perform root-cause analysis, and coordinate durable fixes with data owners and engineering teams
  • Translate open-ended questions into measurable definitions, source-to-target mappings, acceptance criteria, and analytics plans; establish consistent KPI definitions and a shared business glossary
  • Reduce manual reporting through scheduled refreshes, parameterized workflows, Power Automate, reusable templates, and governed self-service datasets
  • Present concise findings and recommendations to technical and nontechnical audiences, using accessible visual design and clear narrative rather than relying on charts alone
  • Support embedded or custom analytics experiences using JavaScript visualization libraries and component-based charting tools such as Recharts, D3.js, Plotly.js, Chart.js, and shadcn/ui chart components
  • Explore responsible uses of Copilot Studio, Microsoft Foundry, and generative AI frameworks to accelerate discovery, natural-language analytics, documentation, and workflow assistance while validating outputs against trusted data

Job Qualifications & Experience
Minimum Qualifications
  • 2-5 years of professional experience in data analytics, business intelligence, reporting, or a closely related role
  • Bachelor's degree in data science, statistics, mathematics, economics, finance, computer science, information systems, or a related quantitative field, or equivalent practical experience
  • Advanced proficiency in SQL, including joins, common table expressions, window functions, aggregation, query validation, and performance-aware analysis
  • Strong hands-on experience with Power BI, including Power Query, DAX, semantic modeling, interactive report design, refresh strategies, workspace management, and row-level security; comparable Tableau depth is also valued
  • Advanced spreadsheet skills and practical experience reconciling, cleaning, and validating data from multiple sources
  • Working knowledge of dimensional data modeling, KPI design, data dictionaries, ETL/ELT concepts, and source-to-target mapping
  • Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or statistical work
  • Understanding of descriptive statistics, sampling, confidence intervals, hypothesis testing, and common analytical pitfalls
  • Demonstrated ability to gather requirements, manage multiple priorities, communicate findings clearly, and influence decisions with evidence
  • Must have a United States Security Clearance or be able to obtain a United States Security Clearance

Relevant certifications or credentials, such as:
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Tableau Certified Data Analyst
  • Tableau Desktop Specialist certification
  • Experience operating in a regulated, security-sensitive, government, or defense-adjacent environment

Preferred Qualifications
  • Experience with ETL/ELT frameworks and orchestration platforms such as dbt, Azure Data Factory, Fabric Data Factory, AWS Glue, Databricks, or comparable tools
  • Experience building solutions with Power Platform, Power Apps, and Power Automate, including governed connections to enterprise data
  • Experience with Microsoft Copilot Studio and Microsoft Foundry for secure AI-assisted analytics, agent experiences, or workflow augmentation
  • Familiarity with generative AI frameworks such as LangChain, LangGraph, or LlamaIndex and the ability to identify appropriate, verifiable analytics use cases
  • Experience with JavaScript visualization libraries such as Recharts, D3.js, Plotly.js, or Chart.js, including shadcn/ui chart components built on Recharts
  • Experience with cloud data warehouses or Lakehouse platforms such as Microsoft Fabric, Databricks, Snowflake, Google BigQuery, or Amazon Redshift
  • Experience with Git, analytics testing, version-controlled SQL or semantic models, CI/CD, and collaborative development practices
  • Experience with data catalogs, lineage, access controls, sensitivity labels, or governance platforms such as Microsoft Purview
  • Experience designing experiments, performing A/B test analysis, building forecasts, or applying regression and other classical statistical methods

The total compensation for this role can vary from $133,000 to $166,000 a year based on individual qualifications. Eligibility for yearly discretionary bonus. Persistent Systems, LLC offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance; paid time off (sick time and vacation time); flexible spending accounts; 401(k) plan with company match; fitness membership reimbursement; tuition assistance; mental health benefits; and pet discounts.
Company Overview
Headquartered in New York City since 2007, Persistent Systems, LLC is a global communications technology company which develops, manufactures, and integrates a patented and secure Mobile Ad Hoc Networking (MANET) system: Wave Relay®. The company's industry leading R&D team has designed wireless networking protocols to support their cutting-edge Wave Relay® system and technology. Wave Relay® is capable of running data, video, voice and other applications under the most difficult and unpredictable conditions. Their suite of products is field proven and utilized in Commercial, Military, Government, Industrial, Agriculture, Robotics, and Unmanned System markets.

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