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Senior Data Analyst
Blossom
Contract type
Ongoing
Work mode
100% remote
Experience
Senior · 5+ years
Job description
Key details
- Define and execute the organization's data strategy, leading a multidisciplinary team of Data Engineers, Data Analysts, BI Developers, and a Data Scientist/ML Engineer
- Supervise and manage the data team, including performance reviews, feedback, and career development plans
- Lead recruitment, onboarding, and mentoring of new team members
- Allocate resources and assign tasks for efficient workload distribution
- Foster a collaborative environment and continuous learning culture
- Ensure compliance with data governance and quality standards
- Design and lead the AWS data architecture, including ETL/ELT pipelines, data warehouses in PostgreSQL/MySQL, and S3 storage
- Translate business needs into analytics and reporting solutions
- Establish data quality, governance, and security standards
- Define and prioritize the data roadmap aligned with company strategy
- Oversee development of dashboards, reports, and predictive models using Python, BI tools, and ML
- Optimize performance of relational databases and AWS data clusters
- Evaluate new technologies to continuously improve the data stack
- Company mission
- Information not specified
Primary stack
Core technologies
AWSPython (Programming Language)TableauPower BI
Benefits
- 100% Remote Work – Work from anywhere during the contract period
- Multicultural Environment – Collaborate with global teams
- Learning & Exposure – Gain hands-on experience in a fintech/digital banking environment
- Impactful Work – Contribute to data solutions that drive strategic decisions
Requirements & details
- Bachelor's degree in Engineering, Computer Science, Mathematics, or related field
- 5+ years in data roles, including at least 2 years leading teams
- Proven experience designing data architectures on AWS (Redshift, S3, Glue, Lambda, ECS/EKS)
- Python proficiency for pipeline development and analysis
- Advanced experience with relational databases (PostgreSQL, MySQL)
- Familiarity with BI tools (Tableau, Power BI, or equivalent)
- Understanding of ML frameworks and model deployment
- Data modeling, warehousing, and query optimization skills
- Experience designing data APIs and microservices
- Advanced technical English; solid grasp of CI/CD and agile methodologies
- AWS, Python, PostgreSQL, MySQL, S3, Redshift, Glue, Lambda, ECS, EKS, Tableau, Power BI
- Python (Programming Language)
- AWS
- Tableau
- Power BI
