Data Analyst 1

About The Role

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 experienced data analysts who would be able to deep-dive into data to generate insights, run root cause analysis autonomously and manage business stakeholders largely independently (seeking for help in complex scenarios) based on their experience by prioritizing business impact and efficiently adapting to business needs.

About The Team

The successful candidate will be a key member of the Payments Accounting Data Analytics Team. They will be responsible for generating data-driven analysis, reporting, root cause analysis, and data reconciliations to support stakeholders, and help maintain the complex data ecosystem.

B.Responsible

• Works independently on data collection and preparation.
• Uses their past experience and seeks for help in complex scenarios to translate business problems into data driven insights.
• Leverages available cloud big data platforms to run root cause analysis, data reconciliations and shares the insights with the business team.
• 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 business and/or 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 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.
  
  
  

B.Skilled

• 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, ideally with experience in Snowflake
• Good knowledge with Python/Py-Spark
• Experience of working with ETL and Data Modelling tools like Airflow, Dagster and DBT
• Knowledge and experience using data analysis and visualization tools (e.g: tableau, data studio, powerbi, mixpanel, etc)
• Familiarity with Cloud data platforms like AWS and GIT version control is a plus
• Familiarity with financial metrics is a big plus
• Strong communication and stakeholder management skills
• Able to understand details while keeping an eye on the bigger picture
  
  
  

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.