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Full Time Data Mapping Analyst Jobs in California

MagnaFlow

Data Conversion Analyst

Oceanside, CA · On-site

$109K - $132K/yr

The Data Conversion Analyst is responsible for preparing, transforming, validating, and loading ... Develop and maintain data conversion templates and mapping documentation for data migration from ...

MagnaFlow

Data Conversion Analyst

Oceanside, CA

$109K - $132K/yr

The Data Conversion Analyst is responsible for preparing, transforming, validating, and loading ... Develop and maintain data conversion templates and mapping documentation for data migration from ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... analytics used by In-N-Out Burger. *This position is full-time in-office only. Ideal candidates can ... Document data pipelines, source-to-target mappings, business rules, transformation logic and ...

Nastech Global

Integration Analyst

Irvine, CA · On-site

Irvine, CA (onsite) Job Type: Full time Auto Lending Integration Analyst with Salesforce Must Have ... Define data mappings and integration specifications to ensure seamless, real-time data flow between ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$121K - $145K/yr

They are seeking a full-time Data Engineer III to work in a collaborative environment focused on ... and analytics. The role involves designing and maintaining data architectures and pipelines ...

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... analytics used by In-N-Out Burger. *This position is full-time in-office only. Ideal candidates can ... Document data pipelines, source-to-target mappings, business rules, transformation logic and ...

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All JobsData Mapping Analyst JobsFull Time Data Mapping Analyst JobsFull Time Data Mapping Analyst Jobs in California

Full Time Data Mapping Analyst information

What is the difference between Full Time Data Mapping Analyst vs Data Analyst?

AspectFull Time Data Mapping AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; familiarity with data mapping toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentCorporate offices, data centers, or remote settings within tech or finance industriesBusiness environments, consulting firms, or remote roles across various industries
Employer & Industry UsagePrimarily in IT, finance, and data management companiesWide-ranging across industries like marketing, healthcare, finance, and tech

The Full Time Data Mapping Analyst focuses on translating data between systems and ensuring data integrity, often requiring technical skills in data mapping tools. In contrast, a Data Analyst interprets data to provide insights, requiring strong analytical and visualization skills. While both roles involve working with data, their core responsibilities and skill sets differ, making each suited to different organizational needs.

What are some common challenges a Full Time Data Mapping Analyst may encounter when integrating data from multiple sources?

A Full Time Data Mapping Analyst often faces challenges such as dealing with inconsistent data formats, missing or incomplete data fields, and varying data quality across different systems. Additionally, understanding complex business rules and ensuring accurate transformation logic can be demanding, especially when working with legacy systems or large datasets. Effective communication with stakeholders and close collaboration with IT and business teams are essential to clarify requirements and resolve ambiguities during the mapping process.

What does a Full Time Data Mapping Analyst do?

A Full Time Data Mapping Analyst is responsible for analyzing, organizing, and transforming data from various sources to ensure it can be used effectively across systems. They create data maps that define how data fields from one database correspond to those in another, often as part of system integrations or data migrations. Their work helps organizations maintain data accuracy, streamline processes, and support business intelligence or reporting needs. They also collaborate with IT, business analysts, and other stakeholders to understand data requirements and resolve mapping issues.

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

To thrive as a Full Time Data Mapping Analyst, you need strong analytical skills, expertise in data modeling, and a background in information systems or computer science. Familiarity with data mapping tools, ETL (extract, transform, load) platforms, and database management systems such as SQL is typically required. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and ensuring data accuracy. These skills are crucial for translating business requirements into robust data structures and ensuring seamless data integration across systems.
What are the most commonly searched types of Data Mapping Analyst jobs in California? The most popular types of Data Mapping Analyst jobs in California are:
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Full Time Data Mapping Analyst jobs near you

Data Modeler/Data Mapping ETL

Avani Technology Solutions, Inc.

Lake Forest, CA • On-site

$57.75 - $75/hr

Full-time

Re-posted 11 days ago

Job description

Role: Data Modeler/Data Mapping ETL
Location: Lake Forest, CA
Duration: 6 - 12 months and beyond
This is not a SQL/BI development role. Need a data modeler who has strong data mapping experience
Top Three Skills:
Data Mapping/Modeling
Partitioning/database triggering
ETL/BI
Job Description:
Currently we have no architectural map of our data flows from source to all of our systems. We need someone to go through, top to bottom, of all of our source data and map this out, calling out quality issues, process issues, ETL issues, among other things. Also partitioning/database triggering and other core SQL/BI expertise is required It is a large data mapping project and the right candidate will embrace the technical skills to run this project on their own with minimal guidance from team.
  • Perform data mapping, transformation, exploration and BI feasibility studies
  • Acquire data from primary and secondary sources through various connectors or APIs with the knowledge and purpose of underlying data structures.
  • Identify, analyze, and interpret trends or patterns in simple and complex data sets
  • Apply statistical methods to data and generate insights
  • Collect, document, present, and convey insights, evidence and findings
  • Work with DB and BI developers in unit testing views and stored procedures
  • Perform data validation and support report validation
  • Scope and plan on tasks and assess proper estimate of time and effort
  • Stay current with the latest data processing and analysis technology

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