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Data Analysts are the drivers of how data is leveraged in solving business problems within their area. They are able to use their experience to consult with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience. We are looking for data analysts who will implement and maintain PySpark tables following established data models and best practices. The role involves translating business requirements into technical specifications, particularly focusing on payment cost analysis. You'll support data quality initiatives through table refinement and validation while collaborating with senior analysts to implement robust data solutions. A key aspect of the role includes assisting in documenting data lineage and technical processes to ensure knowledge sharing across the team. Your analytical mindset will help drive improvements in our data infrastructure while maintaining high standards of data quality and reliability.
Job Responsibility:
Works independently on data collection,preparation and writing production-ready code
Uses their past experience and seeks for help in complex scenarios to translate business problems into data driven insights
Leverages available big data platforms to run root cause analysis and data reconciliations
Maintains and drives key reports, metrics and workflows running within their scope
Is able to communicate results and outcomes clearly to stakeholders based on their knowledge and experience
Actively participates in analytics team activities and suggests ways of achieving objectives (standup, planning meeting, retrospectives)
Networks and proactively connects with craft peers beyond the team scope
Has a strong understanding of the big data ecosystems
Collaborates and is open to giving and receiving feedback with peers and direct stakeholders
Is flexible in adopting and proposing new approaches and expanding their technical competencies when a more efficient way presents itself
Expected to get significant deep knowledge about the operational, tactical and strategic workings of the department. Has a main focus on business and technical opportunities
Requirements:
Educational background in Quantitative field - Preferably a Master's degree
3-5 years of experience in data analytics, Insight generation and data visualization
Should have executed big data analytics projects in Industry setting
Advanced knowledge of SQL and PySpark
Experience working with large datasets, data transformation and big data pipelines
Good knowledge of Python programing principles
Strong communication and stakeholder management skills
Able to understand details while keeping an eye on the bigger picture
Nice to have:
Familiarity with Big data platforms and version control