• Design, build, and maintain Power BI dashboards and reporting solutions for key business metrics. • Own the reporting lifecycle from requirements gathering through deployment and ongoing optimization. • Manage report accuracy, performance, data refreshes, and KPI consistency. • Continuously improve existing reporting assets as business needs evolve. • Build and manage scalable data pipelines using Microsoft Fabric technologies including Lakehouses, Warehouses, and Data Pipelines. • Develop semantic models and support self-service analytics initiatives. • Ensure data governance, quality, and consistency across systems. • Collaborate with technical teams to improve data architecture and integrations. • Integrate and analyze data from Microsoft Dynamics 365 CRM and ERP platforms. • Develop dashboards covering sales pipeline performance, customer activity, account performance, inventory, and operational metrics. • Maintain data integrity across multiple systems to provide a unified business view. • Analyze business trends, anomalies, and opportunities. • Deliver regular business insight reports and executive presentations. • Identify risks and opportunities before they materially impact performance. • Build forecasting models, trend analysis, and scenario planning initiatives. • Partner with leaders across sales, operations, and finance teams. • Translate business needs into analytical solutions. • Promote data literacy and support self-service reporting initiatives. • Document KPIs, reporting logic, and analytical standards.

Design and document innovative enterprise solutions, develop advanced analytic tools using SQL, and maintain data warehouse processes to enhance organizational performance and drive data-driven decisions in a collaborative environment.

Role Description Our BI team builds and maintains the data models and semantic layer that power reporting and analytics across PulsePoint's advertising platform. We're looking for a Senior BI Developer who can take ownership of LookML development and help us push the quality and depth of our Looker implementation further. This is a heads-down technical role — you'll be working closely with data and backend engineers rather than fielding requests from business users. The right person is someone who genuinely enjoys the craft of data modeling and isn't intimidated by a complex, large-scale BigQuery environment. Responsibilities - Develop, maintain, and improve LookML models, views, and explores across the Looker semantic layer - Write and manage Liquid (Jinja2, Shopify flavor) templating logic for dynamic and parameterized content within Looker - Write advanced SQL queries in BigQuery to support data modeling, debugging, and performance optimization - Collaborate with data engineers on dbt models, ensuring the semantic layer accurately reflects the underlying data - Identify and resolve data quality and consistency issues across models and explores - Review and refactor existing LookML for performance, maintainability, and accuracy - Document data models and business logic to support long-term maintainability Qualifications - 3+ years of experience in a BI development or data modeling role - Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience - Deep hands-on experience with LookML and Looker, including complex explores and derived tables - Strong working knowledge of Liquid templating (Jinja2, Shopify flavor) within Looker - Advanced SQL skills with production experience in BigQuery - Solid understanding of data modeling concepts and dimensional design - Experience with the Looker Extension Framework for building custom embedded applications (preferred) - Experience with dbt or willingness to pick it up quickly (preferred) - Familiarity with GCP data ecosystem beyond BigQuery (Datastream, Cloud Run, etc.) (preferred) - Experience working in version-controlled BI environments (Git) (preferred) - Comfortable working across IST/EST time zones in a distributed team (preferred) - Experience with dbt or Looker (preferred) - Comfortable working across CET/EST hours in a distributed team (preferred) Requirements - You can work remotely - Hours: You can work from 11am-7pm IST Benefits - Comp structure: fixed (inclusive of PF, Gratuity, and a 25k INR medical premium) + a target annual bonus that is approximately 5% of the gross annual earnings. Note that we don’t offer stock options. - Time Off: 21 PTOs + 9 company-wide holidays + 1 flexible holiday - Health Insurance Policy (Self & Family): Every employee and their immediate family are covered under Health Insurance Policy worth INR. 500,000 - Term Life Insurance & Personal Accidental Insurance: Every employee is covered under Term Life Insurance and Personal Accident Insurance Policy worth INR. 25,00,000/- each Selection Process - WebMD SQL Screening Test via CodeSignal (45 minutes) - PulsePoint SQL Screening Test via CodeSignal (25 minutes) - Screening Call (30 minutes) - Hiring Manager Interview (30 minutes) - Team Interview (2 BI team members, 30 minutes each) RED FLAGS FOR US Candidates won’t succeed here if they haven’t worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients’ success metrics. WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

• Partner with operational leaders across service lines to translate business questions into reporting and analytics solutions • Build and maintain Power BI reports and dashboards, deliver ad hoc analytical extracts under tight timelines, and analyze operational data to identify root causes, reconcile discrepancies, and surface actionable insights • Replace manual reporting processes with scalable, automated workflows using SQL, Python, or R — scheduled distributions, snapshot pipelines, metric calculations • Synthesize findings into clear, evidence-backed recommendations for leadership • Daily use of SQL (Snowflake), Python or R, and Power BI (DAX) for extraction, transformation, analysis, and visualization across multiple data platforms • Actively support teammates, share knowledge, and pursue continuous professional development.