Senior Data Analyst

We are seeking a Senior Data Analyst to drive data-driven insights and support product analytics for large-scale mobile applications and cloud-based services. This role will work cross-functionally to analyze user behavior, improve product performance, and help shape strategic decisions through advanced analytics and visualization. Key Responsibilities Design and develop data dashboards, reports, and data pipelines to support business insights and product analytics Analyze large datasets to understand user behavior, product performance, and trends Collaborate with cross-functional teams to identify opportunities to enhance customer experience and product innovation Translate complex data into actionable insights for stakeholders Work on complex analytical problems requiring in-depth evaluation of multiple variables Apply appropriate analytical techniques and methodologies to deliver high-quality results Leverage ML/AI tools to generate insights and improve reporting capabilities Required Qualifications Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science, or related) 5+ years of experience in data analysis, business intelligence, or related field (preferably within a product-focused environment) Advanced proficiency in SQL and working knowledge of Python Strong experience with data visualization tools (e.g., Tableau or similar) Solid understanding of data warehousing concepts and data modeling Experience building and managing ETL processes and data pipelines (e.g., Airflow, Apache Spark, or similar) Hands-on experience with cloud platforms such as AWS or GCP Strong communication skills with the ability to work effectively across teams Nice to Have Experience working with mobile or health-related data Certifications in AWS, GCP, or data analytics Exposure to or experience with machine learning or AI technologies

The role involves designing data dashboards, pipelines, and reports to drive product insights and analyze user behavior. You will collaborate cross-functionally to translate complex datasets into actionable strategic decisions using advanced analytical techniques.

Candidates must have a bachelor's or master's degree in a quantitative field and over 5 years of experience in data analysis. Proficiency in SQL, Python, data visualization tools, and cloud platforms like AWS or GCP is required.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Python
• Data Visualization
• Tableau
• Data Warehousing
• Data Modeling
• ETL
• Airflow
• Apache Spark
• AWS
• GCP
• Product Analytics
• Machine Learning
• AI
• Data Pipelines
• Statistical Analysis

• Data & Analytics
• Technology
• Software

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

20 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte