Senior Data Analyst

About the role

The Senior Data Analyst will lead advanced data analysis initiatives, turning raw data into actionable insights that support strategic decisions across the organization. This role involves sourcing, transforming, and interpreting diverse datasets and delivering clear visualizations and reports for managers and functional leads.

Key responsibilities

• Partner with directors and managers to identify analytics opportunities and design predictive and prescriptive models.
• Lead data collection, cleaning, transformation, and validation from multiple sources while ensuring data quality and governance.
• Develop and deploy dashboards, reports, and data stories for executive and non‑technical audiences.
• Guide junior analysts, promote data literacy, and research emerging data technologies.

Required profile

• Bachelor’s degree in Data Science, Computer Science, Information Systems or related field.
• 3‑5 years of professional experience in data analysis, dashboard design, and supporting business decisions.
• Strong communication skills in English, with the ability to present insights to senior leadership.
• Proven ability to manage multiple priorities and deliver high‑quality work independently.

Required skills

• Python (Pandas, NumPy, Scikit‑learn) and R.
• Advanced SQL for complex queries and database management.
• Data visualization tools such as Tableau and Power BI.
• Experience with ETL frameworks, data warehousing, and dimensional modeling.
• Machine learning algorithms, supervised and unsupervised learning.
• Cloud platforms: AWS, Azure, Google Cloud.
• Web analytics tools: Google Analytics, Adobe Analytics.