Data Analyst

Your Responsibilities

• Building and maintaining dashboards tailored to the target audience to track key KPIs and provide in-depth reporting;
• Digging into data to uncover new use cases and identify potential areas for improvement;
• Supporting experimentation practices where relevant, including analysis and interpretation of results;
• Identifying and assisting with resolving data quality issues for accurate tracking and reporting;
• Collaborating closely with business and technical stakeholders to support data-driven decision-making and processes;
• Developing new KPIs as needed;
• Promoting and educating business and technical stakeholders about effective data usage.

Required key competencies and qualifications

• Strong analytical and critical thinking skills, with the ability to structure complex business questions, identify patterns, challenge assumptions, and uncover root causes in data;
• Strong communication skills, with proven experience presenting data insights clearly and tailoring messages for both technical and non-technical stakeholders;
• Advanced SQL and query optimization knowledge, with hands-on experience in BigQuery;
• Knowledge of data processing technologies such as Google Dataform, BigQuery scheduled queries, or similar orchestration and transformation tools;
• Proven experience with visualizing data in an insightful way for the right audience with Data Studio, Microstrategy, Tableau, Looker or other dashboarding tools;
• Experience with experimentation, testing methodologies, and statistical evaluation of results is a plus;
• Good statistical knowledge, including data distributions, statistical tests, error types, and summary statistics; experience with advanced methods such as regression, time series analysis, or Bayesian statistics is a plus;
• Proficient in Python for conducting ad-hoc and exploratory data analyses, primarily using Jupyter notebooks;
• Solid understanding of version control with Git;
• Experience with cross-functional collaboration throughout the broader organization;
• Ability to quickly understand new business contexts and adapt to different data domains;
• Self-aware, positive, and strongly committed to customer orientation;
• Hands-on experience with Google Cloud Platform analytical technologies is required;
• Very good fluency in English (written and verbal).