Responsibilities

• Maintain and enhance our attribution model logic. Use dbt to maintain data pipelines, refine attribution rules, and implement new logic as our channel mix and marketing effectiveness understanding evolves.
• Ensure the accuracy of marketing data integrity in our attribution model.
• Work with the Data Science, Acquisition and marketing teams to evolve our model.
• Build dashboards that allow marketing stakeholders to self-serve daily performance metrics.
• Translate complex datasets and modelling results into clear, non-technical narratives for marketing stakeholders.
• Execute detailed, in-depth analyses to identify improvement opportunity areas in our current measurement capabilities and propose solutions.
• You will help us improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps.
• You will contribute defining impactful OKRs to work throughout the half of the year.

Requirements

• Bachelor’s degree in Statistics, Economics, or other relevant fields.
• 2+ years of experience in a marketing analytics or data analytics role.
• Advanced SQL skills, Python/R and dbt are advantageous.
• You are able to demonstrate that you can tell a story with data and proactively give guidance on strategy based on insights.
• Experience working with attribution models/MMP data is advantageous.
• Experience with data visualisation tools (example, Looker, Power BI, LightDash).
• Understanding of performance marketing is advantageous.
• Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.

Preferred

• Advanced SQL skills, Python/R and dbt are advantageous
• Experience working with attribution models/MMP data is advantageous
• Experience with data visualisation tools (example, Looker, Power BI, LightDash)
• Understanding of performance marketing is advantageous
• Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.

Benefits

• Base salary of £60,000 - £85,000
• RSU's in a growing and public company
• Work from (almost) anywhere in the world for up to 90 days a year
• Flexible working - you’re trusted to do the right thing and be responsible
• Private Medical Insurance + Life Insurance
• ️ Discounted gym memberships and cycle to work scheme
• ️ A paid 6-week sabbatical leave after four years
• 26 weeks maternity leave at full pay
• An annual self-development budget
• Annual Mission Days festival