Test Data Analyst at Softeta handling data validation and analysis to support banking solutions. Collaborating with teams to maintain data integrity and deliver quality testing strategies.
About the role
- Sr Product Analytics Manager generating data-driven insights for Cloudflare's products. Building dashboards, modeling revenue, and analyzing user journeys for effective marketing campaigns.
Responsibilities
- Build the Self-Serve Funnel: Map and analyze the end-to-end user journey for self-serve customers. Quantify conversion rates at all stages of the funnel.
- Revenue Modeling: Build financial models to estimate growth for key self-serve plans and products from our marketing acquisition and expansion campaigns. Help us understand which features are the strongest leading indicators of retention.
- Experimentation & A/B Testing: Partner with cross-functional partners to document and measure experiments that impact our key metrics.
- Churn & Retention Analysis: Dig deep into churn data to identify "at-risk" behaviors. Answer questions like: "Does a user who enables 2FA and DNSSEC have a higher Lifetime Value (LTV) than one who only uses CDN?"
- Aha moment and Habit moment: Understand and define key moments in the customer journey to help us craft marketing campaigns that help more customers get to experience these moments sooner.
- Dashboarding & Reporting: Build and maintain "source of truth" dashboards in Tableau and Looker that track campaign performance KPIs across all our marketing channels.
- Attribution: Help refining our multi-touch attribution models to understand how each marketing channel is contributing to growing the self-serve revenue.
- Understand key company and product team objectives. Use this understanding to prioritize the many programs being run by the teams we support.
- In some cases you will be responsible for the execution of key programs. You will need to build strong relationships with our product and engineering leaders and drive those programs to completion.
Requirements
- Minimum of 5+ years of data analytics, marketing analytics, or business intelligence, preferably at a SaaS or PLG company.
- SQL: Expert-level proficiency. You can write complex queries (window functions, CTEs, joins) to extract data from large datasets (Google BigQuery experience is a plus).
- Visualization: Strong experience building dashboards in Tableau, Looker, or similar BI tools. You know how to visualize data so it tells a story, not just shows a number.
- Python/R: Familiarity with using Python or R for data cleaning or statistical modeling is highly preferred.
- Adobe Analytics: Strong experience with web analytics and experience using Adobe Analytics
- Willingness to roll up your sleeves, write queries, and work with large quantities of data.
- Experience with Root Cause Analysis and Time Series Analysis: identify the factors most likely contributing to a business outcome, analyze trends and forecast future values
- Business Acumen: You understand SaaS metrics like CAC, LTV, Net Dollar Retention (NDR), and Churn. You know that data is useless unless it drives a business decision.
- PLG experience: you understand the basics of PLG and know how to dive into data to understand key customer journey moments like the Aha moment.
- Experience driving long term cross-functional projects and thriving as the “glue person”. This means you are exceptional at understanding complex problems and designing solutions.
- Just as importantly, you are able to mobilize a cross-functional team to execute the solution.
- You are highly motivated to make Cloudflare and your team successful.
- Demonstrative executive presence and ability to influence at all levels of the organization.
- You can communicate complex data findings to non-technical stakeholders (e.g., explaining statistical significance to a copywriter).
- Customer facing experience is a plus!
Benefits
- Health insurance
- Professional development opportunities
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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