About the role

Senior Data Analyst improving product performance at Foodics through deep analytical investigations and data insights. Collaborating with various teams to enhance customer experience and business outcomes.

Responsibilities

Own end-to-end analytical projects: define the problem, explore data, run analysis, and communicate results.
Design, execute, and analyze experiments and A/B tests to measure the impact of product and business changes.
Write advanced SQL to extract, transform, and analyze large datasets efficiently and accurately.
Perform deep dives to identify patterns, trends, and root causes behind business performance.
Build and maintain dashboards in Metabase and Looker Studio to monitor key metrics and experiments.
Partner closely with Product, Operations, and Business teams to define success metrics and track outcomes.
Translate analytical findings into clear presentations and written insights for stakeholders.
Measure the impact of initiatives and ensure learnings are documented and reusable.
Support data-driven decision-making across the Optimization Team.
Collaborate with Data Engineering to improve data quality, define requirements for modeled tables, and request new data points or pipelines when needed.
Work closely with Product teams to evaluate product improvement ideas, build data-backed business cases, and prioritize initiatives based on impact.
Partner with Customer Support, Sales, and Operations teams to streamline processes, remove inefficiencies, and optimize workflows using data.
Navigate incomplete, inconsistent, or noisy data and still deliver reliable, decision-ready insights.

5+ years of experience in data analysis, analytics, or business intelligence roles.
Advanced proficiency in SQL, including complex joins, window functions, and performance optimization.
Strong experience in experimentation, A/B testing, and statistical analysis.
Proven ability to perform deep analytical investigations and uncover actionable insights.
Hands-on experience with BI tools such as Metabase and Looker Studio (or similar).
Strong communication skills with the ability to simplify complex analysis for non-technical audiences.
Experience packaging insights into presentations and clear written documentation.
Comfortable working with messy, imperfect, or partially missing data.
Highly analytical, curious, and detail-oriented mindset.
Ability to work independently and manage multiple projects in a fast-paced environment.
Experience in SaaS, FinTech, or data-driven product companies is a strong plus.
Familiarity with Python and experience in data analysis using Python.
Experience with datasets in the F&B or retail sectors.

We have an inclusive and diverse culture that encourages innovation and flexibility in-offices.
We offer highly competitive compensation packages, including bonuses and the potential for shares.
We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.
We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.