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Remote Data Mapping Analyst Jobs in Ohio (NOW HIRING)

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming ...

Munich Re

Principal Technical Data Analyst

Amelia, OH · Remote

Additionally, they will be responsible to gather, analyze, evaluate, and document the business, functional, technical, security, performance, training, and data mapping requirements as needed. Roles ...

Veterinary Pet Insurance

Consultant, Data Designer

Columbus, OH · On-site +1

$53 - $68.50/hr

Structured execution of data analysis, data profiling, and data mapping tasks. * Ensures referential integrity is maintained via data modeling design and data quality recommendations. * Ensures data ...

Huntington

IS Technical Specialist

Columbus, OH · On-site +1

Analyze and design databases and map, query, and aggregate data using NoSQL database technologies ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

IS Technical Specialist

Columbus, OH · On-site +1

Analyze and design databases and map, query, and aggregate data using NoSQL database technologies ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

IS Technical Specialist

Columbus, OH · On-site +1

Analyze and design databases and map, query, and aggregate data using NoSQL database technologies ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Mapping Analyst information

How does a Remote Data Mapping Analyst typically collaborate with cross-functional teams to ensure accurate data integration?

As a Remote Data Mapping Analyst, you'll regularly interact with IT, business analysts, and project managers to understand data requirements and ensure that data from various sources is accurately mapped and integrated into target systems. Collaboration often takes place through virtual meetings, documentation sharing, and project management tools. You may need to clarify data definitions, resolve mapping discrepancies, and provide updates on progress, making strong communication skills and attention to detail essential. Building relationships with stakeholders across departments helps streamline workflows and ensures the success of data integration projects.

What is the difference between Remote Data Mapping Analyst vs Data Analyst?

AspectRemote Data Mapping AnalystData Analyst
Required CredentialsBachelor's in IT, Data Management, or related field; familiarity with data mapping toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentRemote, often collaborating with IT and data teamsRemote or on-site, working with business units and management
Industry UsageIT, Data Management, Software DevelopmentFinance, Marketing, Healthcare, Business
Common Search/ComparisonYesYes

The Remote Data Mapping Analyst primarily focuses on translating data between systems, ensuring data integrity during migrations or integrations. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require data skills, the analyst emphasizes data transformation and mapping, whereas the data analyst emphasizes analysis and reporting.

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

To thrive as a Remote Data Mapping Analyst, you need a strong background in data analysis, database management, and data migration, typically supported by a degree in computer science or a related field. Proficiency with ETL (Extract, Transform, Load) tools, SQL, data mapping software, and familiarity with data integration platforms is essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret requirements and collaborate across remote teams. These skills ensure accurate data transformation and integration, which are critical for maintaining data integrity and supporting business operations.

What is a Remote Data Mapping Analyst?

A Remote Data Mapping Analyst is a professional who works from a remote location to analyze, organize, and translate data from various sources into a structured format. Their primary role involves identifying relationships between different data sets, ensuring data consistency, and supporting data integration projects. They often collaborate with IT teams, data engineers, and business analysts to implement data solutions that improve data quality and accessibility. This job requires strong analytical skills, attention to detail, and proficiency with data mapping tools and software.
What are the most commonly searched types of Data Mapping Analyst jobs in Ohio? The most popular types of Data Mapping Analyst jobs in Ohio are:
What are popular job titles related to Remote Data Mapping Analyst jobs in Ohio? For Remote Data Mapping Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Mapping Analyst jobs in Ohio look for? The top searched job categories for Remote Data Mapping Analyst jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Mapping Analyst jobs? Cities in Ohio with the most Remote Data Mapping Analyst job openings:
Remote Data Mapping Analyst jobs near you
Data Science Analyst

Data Science Analyst

Quadax, Inc.

Cleveland, OH • On-site, Remote

Full-time

Re-posted 9 days ago

Quadax rating

7.0

Company rating: 7.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

154th of 202 rated software companies

Job description

Summary:

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.

Responsibilities:

  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
  • Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
  • Facilitate the design and development of product features
  • Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
  • Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
  • Present on-time delivery of requirements and user stories/specifications
  • Support the creation and maintenance of project documentation
  • Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows

Qualifications:

  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working in Data Science
  • Professional experience with, and more than a basic understanding of AI technology
  • Proficient in building process flow diagrams and data mapping
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Extensive experience working in a BI environment and familiarity with data warehouses
  • Extensive experience in gathering and documenting business requirements
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

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