Data Miner

• 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.