Data Analyst
Job Description
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.
Qualifications
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).
