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.