Analytics Manager

Role Overview: As an Analytics Manager in Client Solutions & Data Engineering at Analyttica, you will collaborate closely with clients and internal teams to spearhead high-impact analytics projects. Your role will involve leading and guiding a team of Analysts and Senior Analysts, ensuring exceptional delivery quality, proactive client interaction, and continuous enhancement of offshore team efficiency. This position necessitates a blend of analytical rigor, business insight, and effective stakeholder management. Key Responsibilities: - Lead end-to-end delivery of analytical projects, providing mentorship and guidance to a high-performing team of Analysts and Senior Analysts through coaching, skill development, and contextual support. - Engage with clients across various regions, overseeing offshore delivery while maintaining alignment with client requirements. - Translate business challenges into analytical solutions by leveraging logical and data-driven approaches. - Take ownership of Data Engineering & Infrastructure tasks, including hands-on involvement in ETL/ELT processes, data modeling, and query optimization. - Ensure timely and accurate delivery while upholding meticulous attention to detail and analytical precision. - Establish and implement processes to boost productivity and quality standards within the offshore team. - Exhibit strategic and process leadership by fostering strong client relationships through proactive communication and stakeholder management. Articulate the business and PNL impact of each analytical solution. - Proactively monitor stakeholder sentiment to anticipate risks and promptly address any issues. - Demonstrate willingness to travel to client locations as necessary. Qualifications Required: - Experience in the Fintech domain, particularly in the US market, is advantageous. - Possess 6-10 years of overall experience in the analytics field, with a minimum of 3 years in people management, including leading high-performing teams. - Proficiency in SQL, Tableau, and Excel, with a minimum expertise level of 8/10 in SQL and Tableau. Excel proficiency for storytelling, analysis, and dashboard creation. Additional skills in Data Engineering and Data Modeling are beneficial. - Advanced SQL skills encompassing data manipulation, query optimization, and troubleshooting. - Hands-on exposure to hypothesis testing, attribution modeling, marketing mix modeling (MMM), and predictive modeling, with a strong application of statistical concepts. - Ability to work independently with minimal supervision and take complete ownership of deliverables. - Demonstrated track record of project delivery within deadlines without compromising quality. - Preferred experience in the banking and financial services domain, along with prior exposure to client-facing roles requiring robust communication and consulting capabilities. - Strong soft skills, strategic thinking, high integrity, ownership, and accountability are essential. (Note: Omitted additional details of the company as it was not explicitly mentioned in the job description),