Data Analyst - BI

What you’ll own

• Minimum 6 years of relevant experience in BI development, software engineering, or information systems.
• 5-7 years of experience in BI development using leading visualization tools (Looker, Tableau, and PowerBI).
• Strong working experience with Looker, including developing and optimizing LookML models, looks, and custom dashboards.
• Extensive knowledge and experience of SQL for querying data, creating views, tables, and functions, and writing validation/analytical scripts.
• Hands-on exposure to cloud platforms is required, with preferred working experience on Google Cloud Platform (GCP) and its storage solutions (BigQuery, Cloud SQL, Cloud Storage, and Cloud Datastore).
• Sound understanding of Data Warehousing (DW) concepts, dimensional modeling, and analytical frameworks.
• Hands-on experience with software engineering and collaboration tools like GitHub, Rally, Jira, Confluence, and VSTS.
• Strong analytical and quantitative skills to manage highly complex information, assess problems, and develop effective technical solutions.
• Excellent written and verbal communication skills with the ability to convey complex technical information in a clear and concise manner to both business and tech teams.
• A Technical degree in Software Engineering, Information Systems, or a related field (additional professional experience in lieu of a degree will be considered).
• The following are a huge plus:
  • Advanced scripting skills in Python.
  • Expertise in other enterprise BI tools such as MicroStrategy (MSTR).
  • A good understanding of the Payments or FinTech domain.
  • Basic understanding or exposure to AI/ML concepts.

What you’ll bring

• Design, develop, and maintain LookML models, interactive dashboards, and reports across BI platforms to deliver actionable commercial insights and scalable analytical solutions.
• Collaborate closely with business stakeholders to understand complex product requirements and translate them into effective, intuitive data visualizations.
• Own the quality of your deliverables by executing unit test cases, validating datasets, troubleshooting issues, and reporting defects.
• Support regression testing for business intelligence and analytics applications deployed on Cloud environments.
• Work closely with application development, architecture, and infrastructure teams to automate pipelines and optimize reporting performance.
• Deliver high-quality software by working in a dynamic, collaborative, and team-focused Agile/Scrum environment.
• Introduce and enhance non-functional capabilities such as dashboard security, responsive design, and query performance tuning.

• Manage multiple priorities effectively under aggressive timelines and support regular software releases.