The posting
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.



