ZipRecruiter

Log In

1

Data Interpretation Jobs (NOW HIRING)

My3Tech Inc

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources * Define and implement data ...

My3Tech Inc

Data Engineer

Teaneck, NJ · On-site

$126K - $151K/yr

Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources * Define and implement data ...

Ashlin Management Group

Data Analyst

Bowie, MD · On-site

Work with Senior Database Architect(s) to develop analytical SQL queries and reports for tracking, trending, and interpreting business data * Perform ongoing data quality assessments, identify ...

next page

Showing results 1-20

People also search for

All JobsData Interpretation Jobs

Data Interpretation information

See salary details

$46K

$165K

$243.5K

How much do data interpretation jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data interpretation in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Interpreter, and why are they important?

To thrive as a Data Interpreter, you need strong analytical skills, statistical knowledge, and a solid understanding of data visualization, often supported by a degree in mathematics, statistics, or a related field. Familiarity with tools like Microsoft Excel, Tableau, or Python for data analysis and visualization is typically required. Attention to detail, critical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These skills ensure accurate data-driven insights and effective communication to guide business decisions.

How does a Data Interpretation specialist typically collaborate with cross-functional teams to drive business insights?

Data Interpretation specialists frequently work alongside analysts, business managers, and IT teams to translate raw data into actionable insights. They are responsible for clarifying data trends, ensuring data accuracy, and contextualizing findings for non-technical stakeholders, often presenting results through visualizations or reports. Effective collaboration requires strong communication skills and a good understanding of both business objectives and technical data limitations. This teamwork enables organizations to make informed decisions and continuously improve processes based on data-driven evidence.

What is data interpretation?

Data interpretation is the process of analyzing data sets and extracting meaningful insights or conclusions from them. It involves examining data in various forms, such as tables, charts, and graphs, to identify patterns, trends, and relationships. This skill is essential in many fields, including business, research, and education, as it helps inform decision-making and problem-solving. Effective data interpretation requires critical thinking, attention to detail, and a good understanding of the context in which the data was collected.

What is the difference between Data Interpretation vs Data Analysis?

AspectData InterpretationData Analysis
Primary FocusUnderstanding and explaining data insightsExamining data to identify patterns and trends
Skills RequiredAnalytical thinking, communication, visualizationStatistical skills, programming, data manipulation
Tools UsedCharts, reports, visualization softwareExcel, SQL, Python, R
Work EnvironmentBusiness meetings, reporting, presentationsData warehouses, analysis platforms

Data Interpretation involves explaining what data means and communicating insights, often to non-technical stakeholders. Data Analysis focuses on examining raw data to uncover patterns and trends, often using statistical tools. While both roles require analytical skills, Data Interpretation emphasizes understanding and storytelling, whereas Data Analysis emphasizes technical data manipulation and discovery.

More about Data Interpretation jobs
What are the most commonly searched types of Data Interpretation jobs? The most popular types of Data Interpretation jobs are:
What states have the most Data Interpretation jobs? States with the most job openings for Data Interpretation jobs include:
What job categories do people searching Data Interpretation jobs look for? The top searched job categories for Data Interpretation jobs are:
Data Interpretation jobs near you

Data Sciences Director

Virginia Farm Bureau Mutual

Alexander, AR

Full-time

Posted 14 days ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

Apply