Data Scientist Lead - Data Analytics

As a Data Scientist lead within the Data and Analytics team at our company, you will play a crucial role in driving the analytics book of work. Your main responsibility will be to transform our cross-channel, cross-line of business acquisition strategy into a hyper-personalized, data-driven, customer-centric model. You will collaborate strategically across the firm with marketers, channel owners, digital experts, and the broader analytics community to help achieve our business goals through a deep understanding of marketing analytics and optimization. **Key Responsibilities:** - Develop the analytics framework and data infrastructure to support the platform team in evaluating value addition. - Define and assess the OKRs and goals related to the platform's performance. - Provide top-tier business intelligence through dashboards and executive reporting to the Acquisitions Center of Excellence and Line of Business leadership. - Construct business cases that drive prioritization and investment in Acquisition & Enablement Platforms. - Communicate effectively with product, technology, data, and design teams to identify and advance a data-driven analytical roadmap. - Serve as the Acquisition Center of Excellence Analytics local site lead, overseeing local operations and contributing to the expansion of the team's presence in India. **Qualifications Required:** - 5+ years of experience leveraging data visualization tools for data exploration and marketing performance evaluation. - Proven ability to lead and manage teams effectively, showcasing strong leadership skills. - Experience in querying big data platforms and SAS/SQL. - Comfort building and managing relationships with both analytics and business stakeholders. - Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders. - Experience with best-in-class web analytic tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.). - Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners. - Bachelor's degree is required, with a background in data science, mathematics, statistics, econometrics, engineering, MIS, finance, or related fields. In addition to the qualifications required, the following skills are preferred: - Financial services experience. - Tableau experience. - Familiarity with Teradata, AWS, & Snowflake.,