Senior Marketing Analyst- Performance and Insights

Job Description

Why this role exists We need a handson analytics leader to design, automate and evangelise holistic marketingmeasurement frameworks that: Quantify the true incremental impact of every media dollar (Meta, Google, YouTube, CTV, affiliates, influencers, retention promos). Turn raw tradingplatform data and martech signals into crisp, actionable insights for the Csuite, Trading Ops, Product and Investor Relations. Enable smarter budget allocation, faster testandlearn cycles and bulletproof business cases for new channels or tactics. Key Responsibilities Measurement Strategy Architect and codify Hola Primes omnichannel performancemeasurement playbook (MMM, attribution, lift tests, testvscontrol, brand & search lift, funnel analytics). Define the canonical KPI hierarchy impressions clicks fundedaccount conversions profitshare payouts and the guardrails for each stage. Solution Development Prototype and productionize analytics solutions (SQL/Python/R) that stitch adplatform signals with firstparty trading data. Build interactive dashboards in Tableau, Power BI, Looker/Looker Studio that surface ROI, LTV/CAC, retention cohorts, payout velocity and incremental revenue. Leverage marketing APIs (Google Ads API, Meta Marketing API, YouTube Data & Analytics APIs, Google Analytics Data API, etc.) to automate data extraction, campaign optimisation and realtime performance feedback loops. Insight & Storytelling Translate complex stats into boardready narratives and campaign postmortems. Partner with Performance Marketing, Product, Retention and Finance to recommend spend shifts, creative optimizations and new growth loops. CrossFunctional Leadership Work daytoday with Product, Data Engineering and MarTech to activate clean data feeds. Upskill marketers on experimentation bestpractices, new BI tools and advanced measurement methods. Process & Automation Identify manual painpoints and drive tooling/BI & APIintegration enhancements to cut reporting lag. Champion agile ritualsuser stories, sprint reviews, OKRsto keep analytics roadmaps on track. Tech Stack Youll Use Databases / Warehouses: Snowflake, BigQuery, Postgres Languages: SQL, Python, R Visualisation & BI: Tableau, Power BI, Looker / Looker Studio (Data Studio) Marketing & External APIs: Google Ads API, Meta Marketing API, YouTube Data API, Google Analytics Data API, TikTok Marketing API, LinkedIn Ads API Experimentation & Marketing Tools: Google CM360, Meta Experiments, Firebase/GA4, Optimizely Collaboration & Agile: JIRA, Asana, Git, Slack Preferred candidate profile 46 years in digitalmarketing analytics, mediameasurement consulting or retail/fintech BI. Proven mastery of incrementality & lift studies, MMM/econometrics, attribution modelling, A/B & multivariate testing. Handson SQL + Python (or R) for data wrangling, statistical modelling and rapid POC builds. Demonstrated expertise building and maintaining dashboards in Tableau and/or Power BI (Looker a plus). Experience integrating and automating marketing data via Google Ads, Meta, YouTube and other advertising APIs. Comfortable joining adplatform, web, app and backend trading data; experience with Snowflake/BigQuery preferred. Track record influencing nonanalytics stakeholdersable to sell the story, not just the stats. Experience in fintech, trading, brokerage or highly regulated performancemarketing environments is preferred. Thrive in highvelocity, agile teams; you plan with OKRs and ship in sprints. Whats in it for you Direct line of sight to Clevel decisions and multimilliondollar media budgets. An open canvas to build the analytics stack you’ve always wanted—no red tape. Global exposure: shape growth levers across 175+ markets and multiple asset classes. Competitive compensation, performance bonus, and the chance to work alongside a passionate, data-obsessed marketing squad.