CSBB - Lead Data Science Consultant

In this role, you will:

• Work with product, strategy, and analytical leadership to develop or influence data strategies, analytical solutions, and advanced data visualization for complex business and technical needs.
• Support the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques, complex data from multiple sources, and business insights. Develop data visualization solutions to display analytical results & insights for business consumption.
• Understand the business question & context to create a logical & structured analytical approach & solution and translate it to the business impact/value.
• Help deliver solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical, and coordination of highly complex activities.
• Support multiple complex projects, analyses, and application of techniques within the supporting businesses.
• Develop a strong understanding of the internal data structures to effectively deliver analytical solutions.
• Ensure adherence to compliance and legal regulations and policies on all projects managed.
• Engage with analytic communities, business partners, risk, compliance, controls and other internal functions across the enterprise, and serve as a subject-matter-expert (SME) on data and analytical projects to leadership team.

Required Qualifications:

• 9+ years of experience in Business Analytics, Management Reporting, Statistics, or equivalent demonstrated through one or a combination of the following: work experience, training & education.
• Experience in analytical languages & platforms such as SQL, SAS, Python, Teradata, etc.
• Experience in BI & reporting using SSRS, Tableau, Power BI and/or ThoughtSpot.
• Strong understanding of data structures, data warehousing & ability to wrangle/ manipulate data for analytical needs.
• Experience in working on statistical techniques like segmentation, regression, decision trees, forecasting etc.
• Excellent analytical, problem solving and project management skills.
• Strong communication and writing skills with high proficiency in grammar and articulation of insights & findings.
• Highly analytical, deeply curious about data and how to make it actionable.
• Ability to deep dive on data issues, resolve to the fullest, challenge interpretation, cull insights and make recommendations on facts and logics.
• Post Graduate degree (MBA/M.Tech./M.Sc. or equivalent) in any quantitative subjects like Statistics, Mathematics, Computers or Economics.

Good-to-have qualifications:

• Financial services (e.g., consumer credits, small business banking) experience is good to have.