Lead the technical development of data offerings in India. Responsible for building and managing a high-performing team of Analytics Engineers. Establish best practices, mentor direct reports, and design an organizational setup for efficient scaling.
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- Shape strategy and drive execution of advanced analytics across various domains.
- Architect scalable analytics solutions, including data pipelines and KPI frameworks.
- Guide decision-making with insights using SQL, Looker, and statistical modeling.
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- Design, develop, and maintain data pipelines to integrate data from multiple sources.
- Build and lead a high-performing data engineering team across multiple geographies.
- Partner with Product Managers and Technical Leads to ensure alignment between data initiatives and business outcomes.
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- Define analytical strategy and govern key metrics.
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- Lead the development of the data innovation strategy and drive companywide data initiatives.
- Oversee the evolution of how the organization measures, reports, and shares meaningful insights.
- Engage directly with customers to deliver ad hoc analyses and provide unique program insights.
ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.
Lead efforts to improve and scale our promotion architecture, optimize data infrastructure, enhance analytical models, and enable data-driven decision-making across the organization. Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts. Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.
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- Manage and grow a team of Data Analysts/Business Intelligence professionals.
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- Create and maintain data sources, reports and dashboards with high visual appeal, high data accuracy and high performance.
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- Lead the design and execution of business intelligence and reporting for client operations.
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- Lead analytics for the documentation function.
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- Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
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- Present and translate complex information in relevant business terms
- Regularly create, edit, and improve complex SQL queries for data extraction and automation
- Develop robust and insightful reports on regular cadences to communicate the performance of regional sales teams, marketing events, business development, and customer lifecycles
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- Transform raw data into meaningful insights through analysis, dashboards, and reporting.
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- Build and maintain clean, scalable data models and pipelines to support marketing analytics and reporting using tools like Snowflake, DBT, and Databricks
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- Lead the creation and maintenance of the company's data infrastructure.
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- Develop test infrastructure to maintain data integrity.
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- Develop data-oriented solutions that drive immediate business value.
- Troubleshoot complex data issues and guide internal teams toward best practices.
- Prioritize projects across multiple departments while maintaining high quality and responsiveness.
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- Define and execute a modern analytics strategy aligned to company objectives.
- Partner with senior leaders to inform analytics priorities and influence executive decisions.
- Develop and lead a high-performing analytics organization focused on excellence and collaboration.
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- Collaborate with Finance, Sales, Marketing, and Product partners to frame data-centric business questions and deliver clear, actionable insights.
- Analyze complex, cross-functional datasets to identify trends, risks, and opportunities that inform strategic and operational decisions.
- Build, maintain, and enhance dashboards and reports that make financial and business performance easy to understand for non-technical stakeholders.
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- Transform complex healthcare and operational data into actionable insights.
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- Empower data-driven decision-making across Cribl by scaling our business intelligence system.
- Lead analyses empowering GTM performance and effectiveness, including rep productivity and sales motion optimization.
- Build and/or update advanced analytical models to inform prioritization, forecasting, and strategic decision-making.
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- Design, build, and maintain data models in our cloud data warehouse using dbt.
- Own the transformation layer from raw and staged data to curated marts.
- Promote and exemplify development standards and data quality for analytics engineering work.
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