Data Miner

Job Description: Analytics – Medical Data & BI Domain- The role involves working closely with clients in the healthcare analytics domain to deliver data-driven insights through advanced BI tools and data modeling. - The candidate will act as a bridge between business and technology — gathering requirements, developing dashboards, and providing strategic recommendations using SQL, Looker, and BigQuery.Roles & Responsibilities- Conduct daily client calls to understand requirements, gather feedback, and provide progress updates. - Collaborate with stakeholders to translate business problems into analytical solutions. - Design, develop, and maintain Looker dashboards and LookML data models for dynamic visualization and reporting - Write and optimize SQL queries in BigQuery for data extraction, transformation, and validation. - Build and manage relationship models and ETL processes to ensure data consistency and accuracy. - Perform data validation and quality assurance, ensuring completeness, accuracy, and reliability of all reports. - Analyze complex medical and healthcare datasets, identifying key insights, trends, and performance metrics. - Present analytical findings through PowerPoint presentations with clear storytelling and actionable recommendations. - Collaborate with cross-functional teams to streamline data workflows and enhance BI performance. - Support ad-hoc analysis requests, automating repetitive tasks using Python where necessary. - Maintain documentation for dashboards, KPIs, and data logic to ensure transparency and reusability. - Adhere to data governance, compliance, and privacy protocols within the medical analytics domain.Essential Skills (Must-Have)- SQL – Strong command over data extraction, joins, aggregations, and optimization (preferably in BigQuery). - Looker / LookML – Proven experience in dashboard development, data modeling, and performance optimization. - PowerPoint – Ability to convert analytical insights into compelling client presentations. - BI & ETL Knowledge – Understanding of relationship models, data pipelines, and end-to-end BI flow. - Analytical Thinking – Ability to interpret data patterns, trends, and derive meaningful insights. - Client Communication – Excellent verbal and written communication for daily client interaction and requirement gathering.Good-to-Have Skills- Excel – For ad-hoc data checks, pivot analysis, and performance tracking. - SAAS Product Exposure – Familiarity with cloud BI environments and SaaS data systems. - Healthcare / Medical Analytics Domain Experience – Understanding of healthcare metrics, patient data, and compliance standards. - BigQuery Optimization Techniques – Familiarity with cost-efficient query handling and partitioning.

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