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 optimization, and conduct go-to-market strategy analysis.
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.
- Commercially minded with experience working in a high-growth B2B tech environment.
- Solution-oriented with excellent communication skills.
Nice to Have:
- Experience working with sales and project management data in tools like Salesforce.
- Proficient in python's various data transformation, visualization, and statistics libraries.
- Experience working with payments or transactions data.
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