Data Analyst

Data Analyst

We are looking for new team members as we continue to grow. What can you expect when you join? You can look forward to a culture of learning and empowerment, where you come first, where you are free to express your ideas, and where there is equality and inclusion. Everything we do is with authenticity and passion and our culture and values define what we do. If your aspirations are the same we look forward to welcoming you to the Rayn family.

Our Mission

Building for billions, one idea at a time.

Our People

We believe in our people & are invested in giving them an employee experience at par with global best practices. They come first & are our true assets. Our goal is to create a fair, open culture where everyone can bring their best selves to work in a safe space. All our policies are built on the guiding principles of trust & are an essential part of our culture at Rayn.

 What you will bring to Rayn as a Data Analyst
  • Engage with stakeholders to fulfill their business reporting needs.

  • Extract data using automated tools from multiple data sources.

  • Build dimensional data models in a data warehouse.

  • Develop dashboards and visualizations for key business metrics.

  • Generate business insights by analyzing data trends and conducting root-cause analysis.

  • Translate business problems into data models and conduct analysis.

  • Document optimized routine queries for relevant warehousing platforms.

  • Work with engineers and management to identify process improvements.

 Your qualifications
  • Bachelor’s and/or Master’s degree in Computer Science, Management Science, Business Analytics, Computer Engineering, or related discipline.

  • Experience in writing optimized queries to fetch data from data sources.

  • Experience in translating business requirements into reports and dashboards.

  • You are a hands-on professional with experience in Analytics and Business Intelligence.

  • Minimum 3 years of relevant experience.

  • Experience of Relational, NoSQL and SQL databases including MongoDb and Postgres.

  • Experience in Datawarehousing & Data modeling.

  • Experience with visualization tools such as Data Studios, Tableau, Power BI or Quicksight.

  • Experience in a programming language such as Python, R, C++ is a plus.

  • Knowledge of Big Data, data quality, and data imputation techniques.

  • Have worked in agile software development teams.

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