We are looking for an experienced Assistant Manager, Data Analytics to drive data-driven decision-making and enhance business performance through advanced analytics, reporting, and data management practices. This role will play a key part in transforming raw data into valuable business insights, developing scalable reporting frameworks, and supporting the adoption of AI-powered solutions.

The ideal candidate combines strong technical expertise in data engineering, analytics, and visualization with the ability to collaborate effectively across business and technology teams. This position offers the opportunity to contribute to strategic initiatives by delivering high-quality data assets, actionable intelligence, and innovative analytical solutions.

• Manage and optimize data assets by consolidating, cleansing, validating, and transforming data from diverse sources to ensure reliability and consistency.
• Develop and maintain efficient data pipelines, data models, and reporting datasets to support business intelligence and analytical initiatives.
• Lead data enhancement projects by integrating internal and external data sources to improve business visibility, opportunity identification, and predictive capabilities.
• Support the development and adoption of AI and Generative AI applications by preparing high-quality datasets and enabling data-driven automation and decision support.
• Create interactive dashboards, management reports, and performance scorecards that provide meaningful insights and support business planning.
• Design and implement reporting solutions using Power BI, ensuring scalability, usability, and strong data governance practices.
• Collaborate with business users, operational leaders, product teams, and technology partners to translate business challenges into analytical and reporting solutions.
• Identify trends, risks, and business opportunities through data analysis and present recommendations to key stakeholders.
• Communicate findings and project updates through clear presentations and data storytelling techniques for both technical and non-technical audiences.
• Continuously evaluate emerging technologies, analytics methodologies, and automation opportunities to improve operational efficiency and business outcomes.

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or another relevant quantitative discipline.
• At least 5 years of experience in data analytics, business intelligence, data management, or related functions.
• Proven hands-on experience in designing and developing dashboards, reports, and analytics solutions using Power BI.
• Strong knowledge of SQL and PySpark, with practical experience working in Databricks environments.
• Advanced Python programming skills for data processing, analytics, automation, and workflow optimization.
• Experience with data modeling, ETL/ELT processes, and large-scale data transformation.
• Familiarity with AI, machine learning, or Generative AI initiatives is highly desirable.
• Excellent analytical and problem-solving abilities with a strong attention to detail.
• Strong stakeholder management skills with the ability to explain complex analytical concepts in a clear and business-friendly manner.
• Ability to manage multiple priorities in a fast-paced environment while maintaining a high standard of accuracy.
• A proactive mindset with a passion for innovation, continuous improvement, and leveraging data to create business value.

• Experience within financial services, insurance, banking, or other highly regulated industries.
• Knowledge of DAX, Power Query, and advanced Power BI optimization techniques.
• Exposure to cloud-based data platforms and modern analytics ecosystems.
• Demonstrated experience supporting enterprise reporting, self-service analytics, or digital transformation initiatives.