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.