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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

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