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À propos
MUST haves: Stakeholder Management, Program Management, Risk Management, Reporting and Communication, Querying AWS data bases or other DBs to get the information for reporting accurately
Key Responsibilities:
Design, develop, and maintain scalable ETL/data pipelines using SQL, Python, AWS, and big data technologies.
Analyze large-scale datasets to identify trends, business insights, and root causes.
Build automated dashboards and reports using tools like Amazon QuickSight, Tableau, or Power BI.
Develop data models, KPIs, and reporting frameworks for leadership and cross-functional teams.
Ensure data quality, validation, and governance across multiple systems and platforms.
Collaborate with Product, Operations, Sales, and Engineering teams to deliver data-driven solutions.
Optimize reporting processes and automate manual workflows for operational efficiency.
Required Skills:
Strong experience in SQL, Python, and data warehousing technologies.
Hands-on experience with AWS services such as Redshift, S3, Athena, Glue, and QuickSight.
Knowledge of ETL pipelines, data modeling, and large-scale data processing.
Experience with BI visualization tools and executive reporting.
Strong analytical, problem-solving, and stakeholder management skills.
Preferred Qualifications:
Experience working with large datasets (billions of records).
Understanding of statistical analysis, A/B testing, and predictive modeling.
Bachelor’s degree in Business, Analytics, Computer Science, or related field.
Compétences linguistiques
- English
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