Business, Data Analyst

Veremark

. Support consolidation of an acquired screening platform into Veremark under the direction of the M&A PMO .

Posted 10/14/2026full-timeRemote • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in business analysis, including process mapping, gap analysis, and data mapping, while proficiently utilizing SQL for data profiling and validation. Capable of managing platform migrations and integrations, with a strong focus on data accuracy and compliance.

Highest-signal resume keywords

SQL ProficiencyBusiness Analysis SkillsPlatform Migration ExperienceBI Tool Dashboard DevelopmentData Mapping and Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLProcess MappingGap AnalysisData MappingUser StoriesUATData ValidationData ProfilingData CleansingIntegration

Soft Skills

MeticulousOrganisedFocused on Data AccuracyAbility to Explain Data to Non-Technical People

Tools & Technologies

LookerMetabasePower BIAI ToolsATS/HRIS Platforms

Industry Keywords

B2B SaaSBackground ScreeningHR TechRegTechGDPRData ResidencyAudit Requirements

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support consolidation of an acquired screening platform into Veremark under the direction of the M&A PMO
Map the acquired platform's check types, workflows, candidate journeys, client configurations and edge cases
Perform gap analysis against Veremark's product and present findings for decisions
Maintain migration plans and trackers, including cohorts, cut-over dates, dependencies and actions
Document current- and future-state processes and draft requirements and user stories
Build and maintain inventories of ATS/HRIS integrations, API consumers, webhooks and client migration status
Map products, price books and contract terms to Veremark's pricing and flag discrepancies
Support Finance with billing reconciliation through cut-over
Profile platform data with SQL, including volumes, client usage, active versus dormant accounts and data quality
Build field-level mappings between data models and test migrated data
Run validation and reconciliation queries for client cohorts, log data issues and follow up on resolution
Maintain the migration dashboard and prepare data for PMO reporting
Use AI tools to summarise legacy documents, draft mappings, cleanse data and classify data
Analyse usage and revenue data to help prioritise client migrations
Provide data and client lists to Customer Success and Sales for migration communications
Contribute progress, issues and data to the Program Director's weekly update
Follow Compliance guidance on consent, data residency and audit when handling migrated data

Requirements

What you’ll need

2+ years as a business analyst, business systems analyst or data analyst
Ideally experience in B2B SaaS
Experience working on a platform migration, system implementation or integration project as part of a team
Solid SQL, including joins, CTEs and aggregations
Business analysis skills: process mapping, gap analysis, data mapping, requirements, user stories and UAT
Experience building dashboards or reports in a BI tool such as Looker, Metabase or Power BI
Ability to discuss data models, APIs and integrations with engineers
Comfortable working to direction and a set playbook, and knowing when to flag issues
Meticulous, organised and focused on data accuracy
Ability to explain data to non-technical people
Nice to have: exposure to pricing, contracts or billing data
Nice to have: experience in background screening, HR tech, RegTech or another regulated industry
Nice to have: familiarity with ATS/HRIS platforms such as Workday, SuccessFactors, Greenhouse or Bullhorn
Nice to have: working knowledge of GDPR, data residency and audit requirements
Nice to have: Python for data cleansing and automation or experience using AI tools
Nice to have: previous exposure to an acquisition or post-merger integration

Benefits

Comp & perks

Remote-first/all-remote organisation
Opportunity to work on a real M&A integration with broad exposure
Work with a global team of ~200+ people
Professional exposure to HR tech, background screening, workforce trust technology and regulated-industry data
Use of AI tools to speed up analysis, data cleansing and classification