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As a Data Analyst at PulsePoint in India, you will be responsible for taking full ownership of complex data workflows and driving innovation across analytics products like Signal and Omnichannel. Your role will involve building scalable solutions, automating manual processes, and troubleshooting issues across teams. By transforming raw data into clear, actionable insights, you will support both internal stakeholders and external clients. Working closely with Product Managers, BI, Engineering, and Client Teams, you will deliver high-impact analysis, reporting, and feature enhancements that shape the future of data and analytics platforms at PulsePoint. Key Responsibilities: - Take ownership of key workflows like HCP365 and Omnichannel - Support Omnichannel at an enterprise level across the whole organization - Build and improve Big Query SQL-based pipelines and Airflow DAGs - Conduct R&D and contribute towards roadmap planning for new features in the product - Support client teams with data deep dives, troubleshooting, and ad hoc analysis - Translate complex data into simple, client-facing insights and dashboards - Dig into data to answer and resolve client questions Qualifications Required: - Minimum 3 years of relevant experience in deterministic and probabilistic attribution methodologies - Proficiency in analyzing multi-device campaign performance and user behavior - Excellent problem-solving and data analysis skills with the ability to organize large data sets, extrapolate trends, and tell a story - Writing and debugging complex SQL queries from scratch using real business data - Strong understanding of data workflows, joins, deduplication, attribution, and QA - Working with Airflow workflows, ETL pipelines, or scheduling tools - Proficient in Excel (pivot tables, VLOOKUP, formulas, functions) - Understanding of web analytics platforms (Google Analytics, Adobe Analytics, etc.) - Experience with at least one BI Software (Tableau, Looker, etc.) - Able to work until 3/4pm ET; remote work is acceptable Note: This role is based in India, and there are no plans to transfer hires to the U.S./UK in the future. Basic experience with Python for automation or workflow logic is preferred. Additional experience in designing data pipelines, working on AI agents, automation tools, or workflow scripting, dashboard design, and data storytelling is a plus. Exposure to health-related datasets, workflow optimization, project management tools like JIRA or Confluence, and ELT experience or automation will be advantageous. --- No additional details of the company were present in the job description. As a Data Analyst at PulsePoint in India, you will be responsible for taking full ownership of complex data workflows and driving innovation across analytics products like Signal and Omnichannel. Your role will involve building scalable solutions, automating manual processes, and troubleshooting issues across teams. By transforming raw data into clear, actionable insights, you will support both internal stakeholders and external clients. Working closely with Product Managers, BI, Engineering, and Client Teams, you will deliver high-impact analysis, reporting, and feature enhancements that shape the future of data and analytics platforms at PulsePoint. Key Responsibilities: - Take ownership of key workflows like HCP365 and Omnichannel - Support Omnichannel at an enterprise level across the whole organization - Build and improve Big Query SQL-based pipelines and Airflow DAGs - Conduct R&D and contribute towards roadmap planning for new features in the product - Support client teams with data deep dives, troubleshooting, and ad hoc analysis - Translate complex data into simple, client-facing insights and dashboards - Dig into data to answer and resolve client questions Qualifications Required: - Minimum 3 years of relevant experience in deterministic and probabilistic attribution methodologies - Proficiency in analyzing multi-device campaign performance and user behavior - Excellent problem-solving and data analysis skills with the ability to organize large data sets, extrapolate trends, and tell a story - Writing and debugging complex SQL queries from scratch using real business data - Strong understanding of data workflows, joins, deduplication, attribution, and QA - Working with Airflow workflows, ETL pipelines, or scheduling tools - Proficient in Excel (pivot tables, VLOOKUP, formulas, functions) - Understanding of web analytics platforms (Google Analytics, Adobe Analytics, etc.) - Experience with at least one BI Software (Tableau, Looker, etc.) - Able to work until 3/4pm ET; remote work is acceptable Note: This role is based in India, and there are no plans to transfer hires to the U.S./UK in the future. Basic experience with Python for automation or workflow logic is preferred. Additional experience in designing data pipelines, working on AI agents, automation tools, or workflow scripting, dashboard de
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