Senior Data Analyst

About the role

We are looking for a Senior Data Analyst to design and maintain enterprise dashboards and reporting solutions using Tableau, while performing advanced analysis on complex datasets including compensation and HR data. You will use Python and SQL to clean, transform, and analyze large datasets in Snowflake, translating business questions into clear, actionable insights for both technical and non-technical stakeholders. The role requires strong independent judgment and the ability to navigate evolving, ambiguous business requirements.

What you will do

• Design, build, and maintain enterprise-level dashboards and reporting solutions using Tableau;
• Work with complex and highly sensitive datasets, including compensation and HR-related data;
• Ensure reporting accuracy, consistency, and usability for business stakeholders;
• Use Python and SQL to perform advanced data analysis and generate actionable insights;
• Translate business questions into analytical approaches and meaningful recommendations;
• Identify trends, patterns, and opportunities through exploratory analysis;
• Present findings clearly to both technical and non-technical stakeholders;
• Clean, transform, and validate large datasets using Python and SQL;
• Ensure data quality, integrity, and consistency across reporting and analytics workflows;
• Collaborate with Data Engineers and cross-functional teams to understand data flows and source systems;
• Apply foundational statistical concepts to support business analysis and reporting needs;
• Use basic statistical methods to validate findings and support decision-making.

Must haves

• 4+ years of experience in Data Analytics or related analytical roles;
• Strong hands-on experience with Python for data analysis and data cleaning;
• Advanced SQL skills for querying and analyzing large datasets;
• Experience building enterprise dashboards and reports in Tableau;
• Experience working with Snowflake or BigQuery;
• Strong analytical and problem-solving skills with a results-driven mindset;
• Ability to work with evolving requirements and ambiguous business problems;
• Excellent communication and stakeholder management skills;
• Upper-intermediate English level.

Nice to haves

• Exposure to AWS or similar cloud environments;
• Experience working with HR data or other highly sensitive/confidential datasets;
• Familiarity with data pipelines and API-based data flows;
• Understanding of how Data Engineering processes support analytics workflows;
• Basic statistical knowledge and practical application experience.