Consultant- Looker & Looker Studio

Accountabilities: Develop, maintain, and optimize dashboards and reports in Looker and Looker Studio to address business and stakeholder requirements. Design and implement LookML models, Explores, and views to support scalable, self-service analytics. Collaborate with data engineering teams to align data pipelines and semantic layers with reporting and visualization needs. Translate stakeholder requirements into effective dashboards and visualizations, using clear data storytelling to communicate insights. Apply data governance standards and BI best practices to maintain the accuracy, consistency, and usability of reporting assets. Use Google Workspace tools, including Google Sheets, Slides, Docs, and Drive, for analysis, reporting, documentation, and collaboration. Leverage Google Cloud Platform services, particularly BigQuery and Cloud Storage, to connect and integrate data sources with Looker and Looker Studio. Support ad hoc analysis requests and help stakeholders understand and use BI solutions through training and documentation. Identify opportunities to improve dashboard performance, data quality, and reporting processes. Requirements: Approximately 3 years of professional experience in Business Intelligence, reporting, or data visualization. Hands-on experience with Looker, including LookML, Explores, and dashboard development, as well as Looker Studio (formerly Google Data Studio). Strong SQL skills and practical experience working with relational databases. Understanding of data modeling concepts, including joins, star and snowflake schemas, dimensions, and measures. Working knowledge of Google Workspace tools, particularly Sheets for analysis, Slides for reporting, and Drive for collaboration. Exposure to Google Cloud Platform services, especially BigQuery, including querying data and connecting datasets to dashboards. Strong analytical skills and the ability to translate business requirements into meaningful, data-driven insights. Excellent communication and collaboration skills, with the ability to work effectively with technical teams and business stakeholders. Detail-oriented approach, with a strong focus on accuracy, consistency, and data quality. Adaptability, curiosity, and willingness to learn new tools and technologies as project needs evolve. Nice to have: Familiarity with additional GCP services such as Cloud Composer, Pub/Sub, Cloud Functions, and Dataflow; basic scripting skills in Python or SQL-based ETL; experience with Git, GitHub, or GitLab for LookML version control; and knowledge of dashboard UX and BI visualization best practices. Benefits: Work arrangement: Remote-first/hybrid working environment in India, with a flexible schedule. Professional development: Access to industry experts and ongoing learning opportunities, including weekly knowledge-sharing sessions and LinkedIn Learning. Technical growth: Hands-on exposure to Looker, Looker Studio, BigQuery, and the wider Google Cloud analytics ecosystem. Project variety: Opportunity to work across diverse research and analytics projects and gain exposure to different industries and research methodologies. Business impact: Contribute to analytics initiatives that inform strategic decisions and help organizations better understand markets and customers. Collaborative culture: Work alongside knowledgeable colleagues in an environment that values learning, teamwork, and individual contributions. Ethical workplace: Join an organization committed to conducting research responsibly and ethically.