Product Insights Specialist
hace 4 semanas
About Docplanner Tech
At Docplanner Tech, we're on a mission to make the healthcare experience more human. With over 90 million patients trusting us every month and 300k+ specialists believing in our product, we're a leader in 13 countries.
We're looking for a talented Product Insights Specialist to join our team. As a key member of our analytics team, you'll play a crucial role in generating insights that drive business growth and inform product decisions.
Your Main Responsibilities
- Create and maintain dashboards, analyses, and forecasts related to our team's main metrics.
- Work closely with higher management, business stakeholders, and researchers to create and validate hypotheses from both a qualitative and quantitative perspective.
- Manipulate and transform large data sets to bring new insights and perform root-cause analysis.
- Effectively communicate and present findings, insights, and recommendations to various stakeholders and a wider audience.
- Strategy: bring ideas for new growth opportunities based on your expertise, and estimate the potential impact of such ideas.
- Work closely with Data Engineering to maintain and improve data sources used in some of our main dashboards.
- Analyze funnels and Conversion rates, and validate hypotheses by taking the lead on experiments and A/B Tests.
What We Offer
A competitive salary of approximately $80,000 per year, depending on experience, plus flexible remuneration and benefits through Flexoh, which includes:
- A restaurant card
- A transportation card
- Kindergarten benefits
- Training tax savings
We also offer a share options plan after 6 months of working with us, true flexibility and work-life balance, private healthcare plan with Adeslas for you and subsidized for your family, access to hundreds of gyms for a symbolic fee in partnership with Andjoy, and access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
Requirements
To be successful in this role, you should have:
- 5+ years of relevant experience in analytics, working with business KPIs and metrics, of which 2+ working closely with product managers and user research teams.
- Familiarity with SQL (essential), data visualization tools like Tableau or PowerBI, event-tracking tools like Google Analytics or Amplitude, and Python and its ecosystem of Data Science libraries.
- Great communication skills and stakeholder management.
- Fluency in manipulating, transforming, and reshaping data, preferably from multiple data sources.
- Experience running A/B Tests and interpreting results.
Bonus Points
Having experience with Git and version control, building data pipelines with Airflow, defining data models with DBT, and working with scikit-learn, pytorch, and other AI/ML Python frameworks is a plus.
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