Description
We are seeking a Lead Data Analyst to support our Sales & Total Service teams, working on Wise Business, our international business account. The successful candidate will enable the teams by building scalable self-serve dashboards, forecasting calculators, and cohort health reports. They will also track and optimize portfolio performance, pipeline, and funnel conversions.
Responsibilities:
- Enablement & Tooling: Build scalable self-serve dashboards, forecasting calculators, and cohort health reports for AE and TS-AS teams, while delivering monthly performance and ROI reporting to leadership.
- Portfolio Performance: Track performance of TS-AS and AE portfolios and drive optimization strategies for forecast attainment, product activation, and churn prevention.
- Pipeline & Funnel Optimization: Track and optimize Sales and TS-AS conversion funnels,refining assignment criteria, assessing channel performance, evaluating lead flow, and diagnosing key blockers to revenue attainment.
- Go-To-Market (GTM) Strategy: Conduct TAM/SAM analysis to inform regional expansion, build capacity/ramp-up forecasts, and shape the data-driven framework for transitioning from inbound sales to outbound outreach.
- Team Performance & SLA Analytics: Define KPIs to evaluate rep and agent health, tracking support SLAs, sales deal velocity, target attainment, and overall operational capacity.
- Cross-Functional Data Foundations: Partner with Marketing to optimize lead management and nurture journeys, and collaborate with Analytics Engineering to establish single-source-of-truth data pipelines.
Qualifications:
- Proficiency with SQL and data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Looker.
- Commercial mindset with ability to translate analysis into impact and comfortable with opportunity sizing, forecasting, and scenario modelling.
- Experience working in a high-growth B2B tech environment and have worked closely with commercial teams before.
- Solution-oriented and able to own projects from start to finish.
Nice to Have:
- Experience working with sales and project management data in tools like Salesforce or similar.
- Proficient in python's various data transformation, visualisation, and statistics libraries i.e., pandas, numpy, scipy, and plotly.
- Experience working with payments or transactions data.
Additional Information: The process consists of 5 stages: 1) Screening call with recruiter - 30 mins 2) Take-home Case Study - 7 days to submit 3) Technical Interview - 1.5 hours 4) Stakeholder Interview - 1 hour 5) Final Interview - 1 hour