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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in performance marketing analytics, focusing on ROI and ROAS optimization through data-driven insights. Proficient in SQL, Python or R for analytical product development, with a strong understanding of data modeling, campaign performance, and collaboration with cross-functional teams.
Highest-signal resume keywords
SQLPythonRPerformance Marketing AnalyticsData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Analytical Product ImplementationDeep-Dive AnalysisData IntegrationMeasurement FrameworksAttribution AnalysisCampaign OptimizationETL/ELTData Quality AssuranceMarketing Mix ModellingAutomation
Soft Skills
CommunicationCollaborationStakeholder ManagementCritical ThinkingProblem Solving
Tools & Technologies
Power BIJiraConfluence
Industry Keywords
Paid MediaROIROASConversion FunnelsCustomer ValuePrivacy StandardsData Access Constraints
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Define analytical products enabling paid media ROI and ROAS optimisation
- Translate business questions into use cases, metric definitions, data requirements, analytical approaches and acceptance criteria
- Work with performance marketing stakeholders, internal CRM teams and the media agency to align campaign and audience definitions and connect paid media and CRM activity with customer outcomes
- Own delivery of analytical products from discovery and prototyping through technical implementation, validation, documentation, stakeholder enablement and ongoing improvement
- Build reusable datasets, analytical models, dashboards and automated outputs using SQL, Power BI and Python or R
- Deliver deep-dive analysis of channel, campaign, audience and customer performance
- Investigate conversion, acquisition efficiency, retention and customer value
- Translate findings into recommendations for paid media ROI and ROAS optimisation, including spend allocation and campaign and audience optimisation
- Partner with data engineering, data product and technology teams and the media agency on campaign taxonomies, tracking specifications, data integration and quality checks
- Act as a key analytical partner to the Marketing Mix Modelling team by preparing and validating inputs, investigating findings and translating results into investment decisions
- Critically assess attribution outputs and reconcile platform, agency and internal reporting
- Distinguish attributed outcomes from incremental impact and support test design and evaluation
- Communicate findings, assumptions and limitations to technical and non-technical stakeholders
- Track adoption of agreed business actions
- Apply analytical standards, privacy and responsible data-use requirements
- Contribute peer review, documentation and knowledge sharing, seeking Principal Analyst guidance and escalating dependencies to the Business Partner
Requirements
What you’ll need- Proven experience in hands-on performance marketing or marketing analytics, delivering analysis that informs channel, campaign and audience decisions
- Strong hands-on skills in SQL, Python or R for deep-dive analysis, automation and analytical product implementation
- Experience translating business needs into analytical product specifications and delivering reusable datasets, measurement frameworks or dashboards from concept through implementation and adoption
- Sound understanding of paid media measurement, ROI, ROAS, conversion funnels, acquisition efficiency, customer value and attribution limitations
- Understanding of the distinction between attributed performance and incremental impact and how these inform investment optimisation
- Strong understanding of data modelling, ETL/ELT, campaign taxonomies, tracking requirements and data quality
- Experience working with data engineering or technology teams to implement reliable analytical solutions
- Experience collaborating with internal CRM teams and media agencies, combining campaign, audience and customer data while recognising privacy, consent and data-access constraints
- Working knowledge of Marketing Mix Modelling and experimentation
- Ability to prepare model inputs, interpret findings and collaborate with specialist modellers
- Ability to manage agreed analytical deliverables and dependencies within a squad
- Ability to communicate technical findings clearly and work to Business Partner priorities
- Familiarity with agile ways of working and tools such as Jira and Confluence
Benefits
Comp & perks- Company Bonus Scheme
- Matched pension contributions up to 8.5%
- 26 days annual leave + 2 Life Days (and bank holidays)
- Single Private Health Cover
- Complimentary Private Medical
- Income Protection
- Flexible Benefits – EV Scheme, Money Coach, Will Writing, Mortgage Advice, Dental and Eye Care Schemes.
- Enhanced Family Leave (Maternity, Paternity, Adoption)
- Wellness Allowance £500
- Employee Assistance Programme
- Discounted Health Assessments
- Volunteering Days
- Matched Funding
- Interview offered to disabled applicants who meet the essential requirements
- Assistance or adjustments available during the application process