Posted Apr 22, 2026
Key Responsibilities:
Create product strategy documents/PRDs outlining business cases, high-level use cases, technical requirements, and ROI. - Develop, update, and implement standard operating procedures for deliverables, including Reports, Analysis, Presentations, and Technical Deliverables. - Collaborate with stakeholders to identify business requirements and develop analytics strategies. - Lead Marketing Analytics by designing and implementing data solutions to meet business objectives. - Conduct or lead data analysis, data mining, and statistical modeling to support business decisions. - Provide expertise in data governance, data quality, and data security. - Mentor junior team members, sharing expertise and best practices. - Manage project timelines, resources, and deliverables. Design and implement data visualizations and reports to communicate insights to stakeholders. Qualifications Required:
Undergraduate Degree in any quantitative discipline, such as engineering or science, from a Top-Tier institution. MBA is a plus. - Minimum 4 years of experience in Analytics or Data Functions. - Very good understanding of data products. - Prior experience in any Digital commerce function (Customer Analytics, Web Analytics, Marketing Automation, etc.) is a plus. - Prior experience in Big Data solutions, Data Engineering, and Data Visualization. - Ability to translate business problems into analytical or quantitative problems. - Ability to handle ambiguity and a fast-paced environment. Prior experience in managing Director+ level stakeholders is a plus. - Very good hands-on experience with SQL is a must. - Understanding of Big Data tech stack (Spark, Hadoop) and Cloud Platforms (GCP and AWS). - Understanding of Data Engineering concepts. - Ability to formulate project strategy and roadmap through Metrics and a data-driven approach. - Ability to structure a business problem in analytical or quantitative problem. - Strong written and verbal communication skills. Proven track record in leadership and talent development for new hires (including new graduates). (Note: Omitted additional details of the company as they were not present in the provided job description) Role Overview: You will be responsible for driving the definition, design, and delivery of new data products within the customer's Data Platform and related applications as a Senior/Lead Data Consultant at Eucloid. Your role will involve advising clients on various business problems and helping them achieve desirable business outcomes through projects. You are expected to provide strategic and operational leadership for a high-performing, diverse team of Data Analysts, Data Scientists, and Data Engineers. Key Responsibilities:
Create product strategy documents/PRDs outlining business cases, high-level use cases, technical requirements, and ROI. - Develop, update, and implement standard operating procedures for deliverables, including Reports, Analysis, Presentations, and Technical Deliverables. - Collaborate with stakeholders to identify business requirements and develop analytics strategies. - Lead Marketing Analytics by designing and implementing data solutions to meet business objectives. - Conduct or lead data analysis, data mining, and statistical modeling to support business decisions. - Provide expertise in data governance, data quality, and data security. - Mentor junior team members, sharing expertise and best practices. - Manage project timelines, resources, and deliverables. Design and implement data visualizations and reports to communicate insights to stakeholders. Qualifications Required:
Undergraduate Degree in any quantitative discipline, such as engineering or science, from a Top-Tier institution. MBA is a plus. - Minimum 4 years of experience in Analytics or Data Functions. - Very good understanding of data products. - Prior experience in any Digital commerce function (Customer Analytics, Web Analytics, Marketing Automation, etc.) is a plus. - Prior experience in Big Data solutions, Data Engineering, and Data Visualization. - Ability to translate business problems into analytical or quantitative problems. - Ability to handle ambiguity and a fast-paced environment. Prior experience in managing Director+ level stakeholders is a plus. - Very good hands-on experience with SQL is a must. - Understanding of Big Data tech stack (Spark, Hadoop) and Cloud Platforms (GCP and AWS). - Understanding of Data Engineering concepts. - Abili
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