Senior Data Analyst in a hybrid role at GFT, focusing on strategic insights and data-driven decisions. Collaborate with IT, product, and marketing teams using tools like Power BI and SQL.
Responsibilities
Collect, clean, and analyze data from multiple sources to generate strategic business insights;
Build interactive dashboards and reports using tools such as Power BI, Tableau, or similar;
Design and maintain data pipelines (ETL/ELT) in both structured and unstructured environments;
Collaborate with multidisciplinary teams (IT, product, marketing, finance) to understand analytical needs;
Conduct statistical and predictive analyses to support data-driven decision making.
Requirements
Strong knowledge of SQL for manipulating and querying large volumes of data;
Experience with data visualization tools (Power BI, Tableau, Looker, etc.);
Practical experience with languages such as Python or R for data analysis;
Knowledge of data modeling (relational and dimensional);
Ability to interpret data and communicate results clearly to technical and non-technical audiences;
Preferred: Experience with cloud platforms (Azure, AWS, GCP);
Familiarity with code versioning tools (e.g., Git);
Familiarity with machine learning concepts or advanced statistics;
Knowledge of NoSQL databases (MongoDB, Cassandra, etc.);
Experience working in agile environments (Scrum/Kanban) and with tools such as Jira or Confluence.
Benefits
Multi-benefits card — choose how and where to use it.
Scholarships/tuition assistance for undergraduate, postgraduate, MBA, and language courses.
Certification incentive programs.
Flexible working hours.
Competitive salaries.
Annual performance review with a structured career plan.
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