In this role as a Product Analyst at Docplanner your main focus will be on generating insights used for product decision-making, and helping product teams achieve their goals by leveraging data.
You will take ownership of the teams metrics and work closely together with various stakeholders to generate and test hypotheses. You will be part of a team consisting of amazing, passionate product analysts and also work together with researchers, product management, developers and design to identify opportunities for collaboration and product improvement. The seniority level for this role is Mid or Senior depending on your experience and skills.
responsibilities :
Create and maintain dashboards, analysis and forecasts related to our team’s main metrics.
Work 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.
Work closely with Data Engineerting to maintain and improve data-sources used in some of our main dashboards.
Strategy: bring ideas for new growth opportunities based on your expertise, estimate the potential impact of such ideas.
Analyze funnels and Conversion rates, validate hypotheses by taking the lead on experiments and A/B Tests.
requirements-expected :
3+ years of relevant experience in analytics, working with business KPIs and metrics.
You are familiar with the tools that we use: Fluency in SQL (essential), Data visualization tools such as Tableau, PowerBI or similar (essential), Familiar with event-tracking tools such as Google Analytics, Mixpanel or similar, Experience working with data warehouses (Redshift, Bigquery etc.)
Great communication skills and stakeholder management. You are able to communicate your data insights in a clear and concise manner.
Fluent in manipulating, transforming and reshaping data, preferably from multiple data-sources.
Doing root-cause analysis, applying statistical concepts like regressions, proving correlations and causation.
Contributing to data warehouses, creating aggregated data-sets, general understanding of data pipelines and flows.
Experience running A/B Tests and interpreting the results.
You are curious by nature, and you love to ask and answer questions and dig into data.
You like to describe the world with numbers systems.
You have an excellent understanding of statistics.
You enjoy constant learning and high autonomy.
You enjoy being part of a diverse analytics team.
offered :
Working within a product company (one of the fastest-growing European startups btw) where HR is not an isolated department but a part of the Tech team,
Possibility to develop as a Talent Acquisition Partner in the future.
Competitive salary adequate to your experience and skills
Private health plan.
26 free paid days.
Additional paid holiday on your birthday/work-anniversary to celebrate with your loved ones or to have a self-care day!
Share options plan after 6 months working with us.
Free English classes.
Internal workshops organized by our team - brainstorming and inspiring each other,
Flexible working hours (plot twist: this is true).
benefits :
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
