About the job

Alma, a fast-growing fintech scale-up, is seeking a Senior Product Data Analyst to join our expanding data team. This role will be instrumental in serving our Product team and driving data-driven decision-making across our organization.

As a Senior Product Data Analyst, you will be a key player in building and developing our recently created Product Analytics team. With the help of another Product Analyst, you will work closely with Product Management and Data leadership to define and implement data strategies that drive product innovation and growth.

About the mission

• Provide data-driven recommendations to influence product roadmap and prioritization
• Develop and maintain a robust product analytics framework to support 8 Product Managers, Product Design, and Product Marketing teams
• Foster a culture of data-driven decision making within the Product team
• Create and own advanced data models and visualizations to uncover product insights and drive strategic decisions
• Collaborate with data engineers to ensure data quality and accessibility for product-related metrics
• Design and implement A/B tests and experiments to optimize product features and user experience

About the you

• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering)
• 3-5 years of experience in Product Analytics, preferably in a fast-paced tech or fintech environment
• Excellent communication skills with the ability to present complex data insights to both technical and non-technical stakeholders
• Strong problem-solving skills and attention to detail

Technical Skills

• Proficiency in SQL
• Knowledge of Python for data manipulation and analysis is a plus Experience with data visualization tools such as Looker, Tableau, or similar Familiarity with Big Query, Airflow, dbt, and GCP
• Solid grasp of statistical analysis and experimentation methodologies
• Understanding of tracking tools and methodologies Segment, Rudderstack…)

About the recuitement process

• Initial screen call with Talent Acquisition (45')
• Technical interview with the Head of Data and a Data Analyst (1h)
• Case study presentation to the data team (1h)
• Final interview with the Chief Product Officer or with the Head of Product Management (45ʼ)