Data Analyst – VS Acquisition & Activation

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4 days ago

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Clicksign

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Fintech • Healthcare Insurance • HR Tech

Clicksign is a leading Brazilian platform for electronic signatures, providing businesses with a secure and legally valid way to sign documents online. With innovative features such as integration via API, automated document generation, and a focus on user-friendly experiences, Clicksign streamlines the signing process, promoting efficiency and compliance in various sectors including finance, healthcare, and human resources. The company prides itself on its security certifications and adherence to legal standards in electronic signatures.

201 - 500 employees

Founded 2010

💳 Fintech

⚕️ Healthcare Insurance

👥 HR Tech

💰 $3.2M Venture Round on 2022-12

📋 Description

• Map, measure and optimize the full acquisition funnel (leads → trial → subscription → activation); • Analyze and prioritize conversion bottlenecks and journey friction, proposing hypotheses and practical recommendations; • Design and monitor experiments (A/B tests) on plan pages, checkout and onboarding, measuring impact on conversion and revenue; • Conduct analyses of trial and activation behavior (cohorts, time-to-convert, first-value moment, early churn); • Support evaluation of campaign, channel and ICP performance; • Produce executive reports and performance narratives for strategic committees and the executive team; • Build dashboards and standardized metrics (Leads, Conversion, Average Order Value (AOV), Early Churn, NMRR); • Support the evolution of the initial customer journey, prioritizing tests and insights that increase engagement in the first 90 days; • Ensure metric quality and consistency in partnership with Analytics Engineering and Data Engineering; • Promote data-driven practices across VS, developing stakeholders who are more autonomous and metric-aware.

🎯 Requirements

• Degree in Data Science, Statistics, Economics, Engineering, Marketing, or related fields; • Experience in funnel analysis, experimentation and growth analytics; • Strong knowledge of descriptive and inferential statistics (hypothesis testing, causality, regression, cohort analysis); • Practical experience with SQL and data analysis languages (Python or R); • Experience with BI tools (QuickSight, Looker, Metabase, Tableau, etc.); • Experience in cloud environments (preferably AWS); • Ability to translate technical results into business recommendations for non-technical audiences; • Good communication skills, ability to influence, and an integrated perspective across marketing and product; • Proactivity to propose hypotheses and conduct end-to-end analyses, with a sense of urgency and ownership. • Differentials: • Previous experience in Marketing Analytics, Growth or Product roles; • Experience in SaaS or recurring-revenue businesses; • Experience with tracking and experimentation tools (e.g., PostHog, Segment, Amplitude, GA4); • Knowledge of conversion or activation propensity modeling (logistic regression, random forest, etc.); • Experience with A/B testing and causal methods (Diff-in-Diff, Uplift Modeling, PSM); • Familiarity with CRM and automation tools (HubSpot, RD Station, Salesforce, etc.); • Ability to create data-driven storytelling and influence strategic decisions.

🏖️ Benefits

• 100% remote work. • Trust-based culture focused on results, offering challenge and strong learning opportunities. • Autonomy and ownership in a collaborative and empathetic environment. • Culture of feedback and regular 1:1s with human leadership and no micromanagement. • Comprehensive benefits such as: meal/food allowance, childcare support, home office allowance, health, education and culture benefits, Gympass, birthday day off, discounts on therapy and English courses, among other partnerships.