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Data Mapping Analyst Jobs in Colorado (NOW HIRING)

Mapping of collateral data from CLO (Collaterised Loan Obligations) portfolio reports to a ... Quick learner, analytical and problem-solving mind-set * Enthusiastic about new concepts and a ...

Data Analyst Client: CO CDE Location: 201 E Colfax Ave Denver, Colorado 80203-0000 (Remote ... Analyze existing mappings and workflows to support rebuild or refactor in IDMC. * Assist with ...

PO & GL Coding Analyst

Denver, CO · Hybrid

$76K - $83K/yr

The analyst works closely with accounting, finance, and operational teams to maintain the integrity ... Experience with financial data mapping or chart of accounts management * Knowledge of automation ...

PO & GL Coding Analyst

Denver, CO · On-site

$76K - $83K/yr

The analyst works closely with accounting, finance, and operational teams to maintain the integrity ... Experience with financial data mapping or chart of accounts management * Knowledge of automation ...

... data mapping. * 4+ years working under an Agile Methodology * Understanding of TPF development a plus * Skill in using JIRA a plus * Medium-high level of experience using standard MS Office products ...

Performing geospatial analysis, data collection (georeferencing and digitizing), data automation, QA/QC, and mapping activities * Creating web-based cartographic maps, reports, and presentations

Uses data mapping, data mining, and data transformational analysis tools to design and develop databases. * Determines data storage and optimum storage requirements. * Prepares system requirements ...

Performing geospatial analysis, data collection (georeferencing and digitizing), data automation, QA/QC, and mapping activities * Creating web-based cartographic maps, reports, and presentations

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Data Mapping Analyst information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do data mapping analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data mapping analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What is a Data Mapping Analyst job?

A Data Mapping Analyst is responsible for analyzing, organizing, and translating data between different systems, formats, or databases. They ensure data accuracy, consistency, and proper integration by creating mapping documents and working closely with developers, business analysts, and data engineers. Their role is critical in data migration, system integration, and maintaining data integrity across platforms. Strong analytical skills, attention to detail, and knowledge of data structures and transformation processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Data Mapping Analyst position, and why are they important?

To thrive as a Data Mapping Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data structures, often supported by a degree in computer science, information systems, or a related field. Familiarity with data integration tools, ETL (Extract, Transform, Load) platforms, SQL, and sometimes certifications like Certified Data Management Professional (CDMP) are highly valuable. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively make candidates stand out. These skills are critical for accurately translating data between systems, ensuring data quality, and facilitating successful cross-functional projects.

What are the typical daily responsibilities of a Data Mapping Analyst?

A Data Mapping Analyst typically spends their day analyzing source and target data systems, designing data mapping documents, and configuring or testing data transformations. They often collaborate closely with data engineers, business analysts, and project managers to ensure that data flows smoothly and accurately between different platforms. Additionally, they may review data quality, troubleshoot issues, and document mapping logic and processes for ongoing or future projects. This role requires both technical and communication skills to bridge gaps between business requirements and IT solutions.

What are the most commonly searched types of Data Mapping Analyst jobs in Colorado? The most popular types of Data Mapping Analyst jobs in Colorado are:

Junior Data Analyst - CLO

StructureIT

Anton, CO • On-site

Full-time

PTO

Posted 17 days ago


Job description

DealX is a technology and data company that builds Software-as-a-Service products for the financial market (Securitization), with customers primarily in the US.


We're a people-first product company that believes in building empowered & autonomous product teams to deliver on our Product Vision & Strategy, with a strong culture of collaboration over and above our core values of Curiosity, Can-do, Accountability, Simplicity, Communication and Wellbeing.


Our offices are primarily in Mauritius & South Africa, although we do have team members in the US, UK and New Zealand as well.
Whilst we started in 2006 as a single company, in 2021 we separated the Consulting (StructureIt) part of the business from the Product (DealX) part of the business. Our shared services group "Enablement" remains employed by StructureIt and provides services to both businesses.


In 2021, Morningstar Credit invested in DealX as part of the reorganisation, and in 2023, we launched a collaborative new product. The platform is powered by DealX Tech & Data and marketed as Morningstar Credit Analytics, a well-known and trusted brand in the US market. We are proud to say that as of March 2025, DealX is wholly owned by Morningstar Credit, with the data exclusively provided by our Mauritius team, and we have tremendous ambition to bring deeper and wider value to the market through additional tech and data products.
We're looking for dynamic Junior Data Analysts to join our mission!


Learn more about us here:

  • About DealX
  • Employee Value Proposition
  • Employee Handbook
  • Marketing page for our products - https://credit.morningstar.com/

What a typical day looks like


In this role you will gather, extract, transform and analyze complex financial data by working with cutting edge tools and new technologies. You will have a real opportunity for growth, success and be part of a highly talented & dynamic team within the analytics department. You will also gain valuable experience in a niche financial market area of securitization and learn new methodologies.


Our Data analytics process consists of the following:

  • Gathering of data - We automatically gather data from a variety of sources
  • Extracting of data - We extract data from any file format, including PDF
  • Transforming of data - We then clean, restructure, aggregate and classify the data
  • Quality Assurance - We perform automated and manual quality assurance steps
  • Analysing of data - We analyse and get insights into the data
  • Delivering of data - We deliver the data and insights via a website or feed.


What you'll do

  • Mapping of collateral data from CLO (Collaterised Loan Obligations) portfolio reports to a standardised set of loan instruments.
  • Mapping is primarily carried out via text matches of the asset / borrower name and the terms and conditions of the asset (typically a leveraged loan).
  • Mapping will be carried out using a custom built browser based mapping application.
  • Mapping will need to be carried out to a tight schedule.
  • Performing of Quality Assurance steps.
  • Scrutinising of legal documents and identifying of relevant information from Deal documents pertaining to CLOs, CMBS etc.
  • Performing of Deal set up and Extraction rules set up on system.
  • Detection and rectification of legacy data when errors are found to be present
  • Liaising with development team to suggest improvements / changes to the system.
  • Liaising with loan instrument pricing team to suggest updates to existing data.
  • Contribute and participate in Ad-Hoc projects.


What we are looking for

  • Good eye for detail and the ability to digest and makes decisions based on a large volume of information.
  • A strong ability in the effective use of a variety of applications.
  • Quick learner, analytical and problem-solving mind-set
  • Enthusiastic about new concepts and a strong desire to strive for improvement
  • Highly organized and efficient in time management.
  • A determination to process tasks according to pre-defined processes is essential.
  • Good communication and interpersonal skills
  • Flexibility in terms of working hours.
  • Ability to work under pressure & multi-task, using a team approach to solve problem when appropriate.
  • Excellent teamwork skills and work effectively in cross-functional teams


Qualifications:

  • Degree in Finance/ Banking/ Mathematics/ Business/ Statistics or any other related field.
  • At least one year of working experience in relevant field


Nice to have:

  • Prior experience in performing of reconciliation would be good, although this is not a mathematical reconciliation.
  • Understanding of Fixed income securities.
  • Understanding of Loan basics.
  • Understanding of CLOs (Collaterised Loan Obligations), CDOs (Collaterised Debt Obligations), ABS (Asset-Backed Securities) and Bonds.
  • All of the above would be advantageous, but appropriate training will be given to the right candidate.


What's in it for you?


Our internalemployee handbook, including details about our benefits, is published publicly - so feel free to read through it there, or look at the highlights below


  • Working
    • Hybrid working environment - Work From Home or Office (with Friday office lunch)
  • First Day Starting Kit
    Yours to own:
    • Money towards keyboard of your choice
    • Headset
    • Laptop Riser
    • Mouse
  • Company owned take home set up:
    • High-spec laptop
    • 27" Screen
    • 24" Screen
  • Insurance - fully paid on top of, not out of your salary
    • Medical Aid
    • Life Insurance
  • Learning
    • Learning Budget - Books or Courses - you choose how to use it
  • Culture
    • Employee-first culture that encourages work/life balance
    • Everyone has a voice, regardless of title
    • Psychological safety
    • Annual company outings
  • Leave
    • 22 days paid annual leave
    • Paid Maternity, Paternity, Study & Moving leave
  • Long-Term Loyalty Benefits
    • 2 years - monthly budget towards a cell phone contract OR petrol card
    • 5 years - 3 additional days annual leave
    • 7 years - A family weekend away
    • 10 years - 3 month paid sabbatical