Data Specialist (Entity Resolution)

About the role

Skills and Competencies 

  • Strong ability to interpret, analyze, and validate complex ownership and entity relationship data 
  • High attention to detail with a strong commitment to data accuracy, integrity, and quality control 
  • Effective written and verbal communication skills, with the ability to respond clearly to client enquiries 
  • Strong organizational and time‑management skills, with the ability to manage multiple priorities in a fast‑paced environment 
  • Problem‑solving mindset with a proactive approach to process improvement and operational efficiency 
  • Ability to work independently while collaborating effectively with internal and external stakeholders 
  • Proficiency in SQL, Python and Microsoft Office applications 
  • Knowledge of Databricks or Power BI is considered an asset. 
  • Professional fluency in English and strong proficiency in French, both written and spoken. Knowledge of Dutch is considered an asset.
  • Interest in emerging technologies and willingness to learn how AI-enabled tools can enhance data quality and operational efficiency

Education

  • Bachelor's degree (Bachelor Universitaire/Hogeschool) or Master's degree in Economics, Finance, Statistics, Data Analytics, Computer Science or related discipline
  • Equivalent experience and qualifications will also be considered
  • Entry-level candidates are welcome to apply

Responsibilities

This role supports entity resolution and data quality initiatives across Moody’s relationship data platforms by developing SQL and Python-based solutions to identify duplicate entities, missing relationships, and data quality issues within ownership datasets.
  • Design, develop, maintain, and enhance SQL and Python solutions to identify duplicate entities, missing relationships, and data quality issues 
  • Extract and interpret trends from data analysis, translating these insights into clear requirements for the software development team to implement. 
  • Collaborate closely with IT professionals and developers to ensure the accurate execution of requirements and to validate the integration of new solutions. 
  • Monitor and verify the outcomes of implemented solutions, ensuring they meet the predefined criteria and do not adversely affect existing data quality. 
  • Continually assess and refine the entity resolution process to enhance data quality, accuracy, and efficiency.
  • Stay abreast of the latest trends and advancements in data analysis and entity resolution techniques. 

About theTeam  
  
The team is responsible for delivering high‑quality ownership and entity relationship data to a global client base. Working at the intersection of data, research, and client support, the team plays a critical role in ensuring transparency, accuracy, and trust in complex ownership structures while continuously improving data coverage and processes. 


About Cape Analytics

Cape Property Intelligence is a Moody's product offering that provides AI-powered, geospatial property intelligence for buildings across the United States, Canada, and Australia.

Cape enables residential and commercial property stakeholders, including insurance carriers and financial institutions, to instantly access valuable and predictive property insights and risk scores. Cape Property Intelligence provides the accuracy and detail that typically requires an on-site property inspection, but with unparalleled immediacy and coverage.

Other roles at Cape Analytics

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Job details

Company

NameCape Analytics
IndustryAI
Team Size3

Funding

Total raised

$75M

Last stage

Series C

Investors

PPivot Investment Partners
FFormation8
Brewer Lane Ventures
SState Farm Ventures
AAquiline Technology Growth

Founders

Ryan Kottenstette

Ryan Kottenstette

Co-Founder & CEO

LinkedIn
SG

Suat Gedikli

Co-Founder & CTO

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.