We are looking for a seasoned Analytics Manager to lead and manage our analytics team, driving data-driven insights and strategies across the organization. The ideal candidate will possess strong expertise in Power BI, AI & Data Science, SQL, and experience within the Insurance domain. This role requires a blend of technical proficiency, analytical thinking, and leadership to deliver actionable insights that support business decision-making and strategy. Key Responsibilities: • Lead a team of data analysts, data scientists, and BI specialists to deliver actionable insights and analytics solutions. • Design, develop, and implement Power BI dashboards and reports to track key performance indicators (KPIs) and provide visibility into business operations. • Utilize AI & Data Science techniques to develop predictive models, machine learning algorithms, and advanced analytics to support business strategies. • Manage and optimize the entire data pipeline, including data extraction, transformation, and loading (ETL), and ensure data quality and accuracy. • Develop and implement SQL queries for data extraction, manipulation, and reporting. • Collaborate with cross-functional teams (business, product, IT, and senior leadership) to define analytics requirements and translate business needs into data solutions. • Provide strategic recommendations based on data-driven insights to improve business processes, drive growth, and mitigate risks. • Monitor and evaluate the performance of analytical models and algorithms, and recommend improvements where necessary. • Ensure adherence to best practices in data security, privacy, and compliance standards, especially within the insurance domain. • Mentor and coach junior team members, fostering a collaborative and innovative analytics culture within the team. • Stay up-to-date with the latest trends and advancements in AI, Data Science, and Business Intelligence technologies. Required Skills & Qualifications: • 10+ years of experience in analytics, data science, or business intelligence. • Strong expertise in Power BI for creating interactive dashboards, reports, and visualizations. • Advanced knowledge of AI & Data Science techniques, including machine learning, predictive modeling, and data mining. • Proficiency in SQL for querying and managing large datasets from multiple sources. • Experience working in the Insurance domain is highly preferred, with a deep understanding of insurance business processes, products, and regulatory requirements. • Strong experience with data warehousing, ETL processes, and data governance. • Ability to analyze complex data, identify trends, and translate data into actionable insights for business improvement. • Proven track record of leading analytics teams and driving business value through data driven decision-making. • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Excellent communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders. Preferred Qualifications: • Experience with other Business Intelligence tools (e.g., Tableau, Qlik) and advanced analytics platforms. • Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark). • Experience in Data Governance, Data Security, and Compliance within regulated industries like insurance. • Strong knowledge of actuarial data and statistical analysis within the insurance industry. Education: • Bachelor’s or Master’s degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or a related field.