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Watershed

Data Specialist

Watershed

. Clean and transform customer business data into Watershed templates to reduce customer friction and drive time-to-value .

Posted 10/2/2026full-timeLondon • United KingdomJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data cleaning and transformation using Excel, with the ability to synthesize customer feedback to enhance services. Strong communication skills facilitate effective customer interactions and collaboration within a team environment.

Highest-signal resume keywords
Expert Excel SkillsData Cleaning Best PracticesCustomer EmpathyStrong Written CommunicationSQL or Python Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data CleaningData TransformationData AnalysisExcelSQLPython
Soft Skills
Customer EmpathyStrong CommunicationTeam PlayerOwnershipBias for Action
Industry Keywords
Customer Data ServicesData FrameworksContinuous ImprovementThird-Party VerificationLondon Office

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Clean and transform customer business data into Watershed templates to reduce customer friction and drive time-to-value
  • Interface with customers to understand their raw data and guide them toward appropriate solutions
  • Assess, advise on, and execute data-cleaning best practices
  • Rigorously document decisions to ensure traceability of data manipulations during third-party verifications
  • Synthesize customer experiences and feedback to drive continuous improvement of services and software
  • Collaborate as an early member of the Customer Data Services team in London

Requirements

What you’ll need
  • 1–3 years of experience working in a data analyst, business analyst, or similar role
  • Expert Excel skills for data cleaning and transformation
  • Experience with SQL or Python is a bonus
  • Systematic and thorough approach to work
  • Ability to map spreadsheet numbers to the real world and translate abstract problems into concrete data frameworks
  • High customer empathy and interest in interfacing with customers
  • Strong written and verbal communication skills
  • Ability to communicate concisely with non-technical audiences
  • Low-ego team player with a strong sense of ownership and bias for action
  • Must be willing to work from the London office 4 days per week
  • Must be willing to work in the United Kingdom; visa sponsorship question is included in the application

Benefits

Comp & perks
  • Reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements
  • Hybrid work arrangement with office attendance 4 days per week