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 team's 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 ideal candidate has already worked in a similar role and is comfortable participating in complex product organizations in the SaaS market.
Key responsibilities include:
Create and maintain dashboards, analyses, 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.
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.
Ensure visibility of customer interactions by defining specs for software instrumentation and provide access to tracking events to your stakeholders.
Analyze funnels and Conversion rates, and validate hypotheses by taking the lead on experiments and A/B Tests.
Who are you?
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.
You are familiar with complex Product organizations in the SaaS market.
What skills and experiences do we want you to 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.
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, Amplitude or similar (essential)
Familiar with Python and its ecosystem of Data Science libraries
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, and 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.
Which skills are ‘bonus points’?
Git and version control, we use GitHub.
Experience with building data pipelines with Airflow and defining data models with DBT
Having worked with scikit-learn, pytorch and other AI/ML Python frameworks
Let’s talk money
A salary adequate to your experience and skills.
Share options plan after 6 months of working with us.
True flexibility and work-life balance
Remote or hybrid work model with or hub in Warsaw.
Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly).
20/26 days of paid time off (depending on your contract).
Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).
Health comes first
Private healthcare plan with Signal Iduna for you and subsidized for your family.
Multisport card co-financing for you to have access to sports facilities across Poland.
Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
Keep growing with us
Free English classes.
We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other.
“We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO
