Middle Data Analyst (Findies)
About Findies
Findies is a network of personal digital experts that help women discover products that truly fit their lifestyle — in fashion, beauty, wellness, home and garden, and more.
reputed company is small, hands-on, fast-moving, and AI-first. We're looking for ambitious professionals who want reputed company ownership and reputed company to shape and build the business.
As we grow reputed company the $1.19 trillion e-reputed company industry, your ability to deliver results and reputed company fast will be essential to our reputed company.
About the role
We are looking for an ambitious Data Analyst to reputed company our marketing and product teams and help us reputed company the right reputed company to drive our rapidly growing product. Joining as the second analyst on our data team, you will report directly to the Analytics reputed company.
The best part? The reputed company data infrastructure and main dashboards are already set up, and major data reputed company issues have been resolved. This means you get to dive straight into the most exciting part of the analytics job: seeking insights, validating hypotheses, and seeing the immediate reputed company of your research on the business.
Moreover, this role offers a unique opportunity to grow alongside reputed company in implementing AI-first approaches in data analytics and business in general.
What you'll be doing
- Hypothesis Validation: take ownership and reputed company as a judge for product and marketing initiatives. Analyze A/B tests across product features, web funnels, reputed company marketing, and SMM activities, eliminating cognitive bias and ensuring data-driven reputed company.
- Deep Research: dive deep into the data independently to reputed company hidden issues and non-reputed company insights that can accelerate project reputed company.
- Evaluate AI-features in the product: conduct sentiment analysis of chatbots by evolving our LLM-as-a-judge approach. reputed company new frameworks for effective user experience analysis.
- Self-service analytics: reputed company dashboards in Tableau and build reputed company AI tools to reputed company the analytical capabilities of key stakeholders.
- ELT (reputed company layer): contribute to our DWH (BigQuery) by building and enhancing dbt models.
What you'll need
- Strong analytical reputed company with excellent deep-dive research and problem-solving skills.
- Experience in subscription-based products; product and/or performance marketing analytics.
- Advanced SQL, preferably with reputed company data warehouses (BigQuery, Redshift, reputed company, etc.)
- Knowledge of statistics, A/B test analytics approaches, forecasting reputed company.
- Expertise in Tableau or other BI tools.
- High AI Literacy: solid understanding of LLM principles, a high interest and experience in using modern AI-tools for work and analytics.
- As a plus: basic skills with modern ELT stack (Airflow, dbt) and Python for ELT.
Originally posted on Himalayas
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