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Maps Data Analyst Jobs (NOW HIRING)

In this role, you will work closely with clients to understand and map their data, analyze large datasets, and support the development of data pipelines and ETL processes. You will also play a key ...

In this role, you will work closely with clients to understand and map their data, analyze large datasets, and support the development of data pipelines and ETL processes. You will also play a key ...

Financial Data Analyst

Dallas, TX · On-site

$55 - $68/hr

Prepare data for migration by performing cleansing, standardization, mapping, and transformation ... Use analytical and reporting tools to evaluate migration results, identify trends, and provide ...

The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data ...

The Data Analyst will create and maintain the master data dictionary and mapping to NYCERS mission critical applications and inventory of its components. The Data Analyst must be available to work a ...

Sr Data Analyst - New York

Manhattan, NY

$94K - $118K/yr

Data Analyst: Key Responsibilities Data Documentation & Data Dictionary * Develop and maintain a ... Map data attributes to source documents, datasets, and system fields. * Maintain traceability ...

Sr Data Analyst - New York

Manhattan, NY · On-site

$94K - $118K/yr

Data Analyst: Key Responsibilities Data Documentation & Data Dictionary * Develop and maintain a ... Map data attributes to source documents, datasets, and system fields. * Maintain traceability ...

This role involves translating complex data structures into clear mapping specifications and ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

This role involves translating complex data structures into clear mapping specifications and ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

This role involves translating complex data structures into clear mapping specifications and ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

In this role, you will work closely with clients to understand and map their data, analyze large datasets, and support the development of data pipelines and ETL processes. You will also play a key ...

No Business Data Analyst Seize your opportunity to make a personal impact supporting the Case ... Develop and maintain Source-to-Target Mappings (STTMs), workflows, and data requirements ...

Collaborate with ETL Architects and created the DMD (Data Mapping Document) to specify the data mapping from various data base sources to the target database. * Conduct data analysis, data profiling ...

Perform data mapping to ensure accurate data flow * Utilize data mining techniques to identify patterns and insights * Work with CRM systems to analyze customer data * Contribute to the development ...

Data Analyst Location: Atlanta, GA - Onsite Contract job Data Analyst - Job Requirements Core ... Data Mapping & Documentation: * Experience creating source to target data mappings, identifying ...

This role requires strong analytical skills, experience with data validation, mapping tools, and the ability to investigate and resolve data discrepancies. Responsibilities: * Validate and reconcile ...

Showing results 21-40

Maps Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do maps data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for maps data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a maps data analyst?

Maps Data Analysts are professionals who collect, analyze, and interpret geographical data to help improve the accuracy and functionality of digital maps. They work with large datasets, including satellite imagery, GPS information, and other geographic sources, to ensure that maps are up-to-date and reliable. Their work often involves identifying errors, updating map features, and collaborating with software developers to enhance mapping products. This role is crucial for companies that rely on precise location data, such as navigation apps, logistics firms, and urban planners.

What are the key skills and qualifications needed to thrive as a maps data analyst?

To thrive as a Maps Data Analyst, you need strong analytical skills, proficiency in geographic information systems (GIS), and a background in geography, computer science, or a related field. Familiarity with tools like ArcGIS, QGIS, SQL, and data visualization software, as well as relevant certifications, is highly beneficial. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate map data analysis, effective project delivery, and actionable insights for decision-making.

What are some common challenges faced by maps data analysts when ensuring the accuracy of geographic data, and how are these typically addressed?

Maps Data Analysts often encounter challenges such as inconsistencies in source data, outdated information, and discrepancies between different mapping platforms. To address these, analysts use a combination of automated validation tools and manual verification, cross-referencing data with authoritative sources, and collaborating closely with GIS specialists and field survey teams. Maintaining open communication with other analysts and regularly updating data sets are crucial strategies for ensuring map accuracy and reliability.
More about Maps Data Analyst jobs
Infographic showing various Maps Data Analyst job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Who We Are:
Dedicated to making a difference in law enforcement agencies across the U.S., our mission is to transform policing by elevating officer performance with a preventative-based early intervention system. Driven by data science and powered by machine learning, our offering analyzes officer performance data in order to identify potentially problematic behavior. In partnership with the University of Chicago, we've developed the world's largest multi-jurisdictional officer performance database, and the only research-driven, evidence-based early intervention system available in policing today.
We're also the only provider of a fully integrated, cloud-based Software-as-a-Service (SaaS) platform that simplifies essential policing workflows. This platform is designed to be a single-source solution for all operational needs, driving extensive efficiency gains and providing best-in-class advanced analytics and insights.
Benchmark Analytics provides a comprehensive, all-in-one solution that is advancing police force management through state-of-the-art technology and market-leading data and analytics.
The Role:
We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven, analytic-focused, and predictive products to help revolutionize the law enforcement sector. In this role, you will work closely with clients to understand and map their data, analyze large datasets, and support the development of data pipelines and ETL processes. You will also play a key role in identifying data quality issues, optimizing ingestion processes, and presenting findings to internal and external stakeholders.
Responsibilities:
  • Assist clients in understanding their data to identify the best fit data for Benchmark products and data science needs
  • Work with clients to understand data creation processes, document findings, and articulate them to internal stakeholders
  • Analyze large file-based datasets using data transformation tools such as Excel, Databrew, and SQL to effectively map data from source systems to target systems
  • Continuously optimize data processes to increase efficiency and quality
  • Validate received and extracted data for completeness to ensure it meets data science and system requirements
  • Develop and maintain documentation for data pipeline workflows, ETL processes, and data dictionaries
  • Provide input and feedback on data structures, data quality, and data consistency
  • Identify data quality issues, investigate root cause analysis, and work with appropriate teams to resolve them
  • Analyze pipeline processes, identify inefficiencies, suggest improvements, and test solutions to optimize data ingestion and reduce implementation time
  • Support process documentation to prepare the team and company for growth and scale
  • Develop and maintain documentation for standard operating procedures, workflows, and data governance policies
  • Prepare presentations and reports based on analysis results and present findings to various stakeholders in a clear and engaging manner
  • Assist in client configuration, implementation, and deployment of analytic systems as needed to ensure client success
  • Periodic travel within the United States required

Job Qualifications:
  • Bachelor's degree in a related field
  • 3-4+ years of client-facing analyst experience, specifically involving direct client engagement that includes a data component
  • Strong communication skills, with the ability to articulate complex topics clearly and concisely
  • Enjoys working with data, testing assumptions, and conducting exploratory data analysis
  • Ability to understand the meaning of data to effectively map it from source system to target system
  • Experience and/or knowledge of ETL processes and relational databases, with an understanding of ETL development
  • Strong data sense, including an ability to recognize patterns and understand central tendencies within qualitative and quantitative data
  • Strong technical aptitude and ability to learn new technical products and skills quickly
  • Strong sense of process and understanding of how individual steps relate to achieve desired end results
  • Capable of managing multiple concurrent tasks and projects while meeting deadlines and working effectively with others
  • Able to work independently with minimal guidance, particularly in complex and non-routine situations
  • Skilled in communicating effectively across multiple levels, including customers, team members, and managers, in a fast-paced environment

What We Offer:
  • A competitive salary and benefits package.
  • Unlimited Paid Time Off.
  • Ability to work in a fully remote environment (must be based in the U.S. and willing to work in Central Time Zone).
  • Summer Half-Day Fridays.
  • Freed Up Fridays during Spring, Fall, and Winter months to promote productivity and dedicated heads-down work time.
  • Medical, dental, and vision plan offerings along with 401(k).
  • Employer-paid Short-Term Disability, Long-Term Disability, and Life Insurance.
  • Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident Insurance.
  • The satisfaction that comes with being part of a solution that has real impact in the world.
  • A diverse workforce and inclusive environment that embraces unique contributions and experiences.
  • An empowered culture that encourages creativity and professional growth.

Estimated Annual Salary Range:
$100k - $120k; based on role, experience, and location
Additional Information:
  • Benchmark Analytics is an Equal Opportunity Employer. We value diversity of all kinds in our effort to create a stellar workforce of committed and passionate team members.
  • Unfortunately, we are not able to sponsor employment visas at this time, so we can only accept applications from candidates who are authorized to work in the U.S.