Associate Analytics Manager

Role & Responsibilities:

• Team & Delivery Leadership

• Lead and mentor a cross-functional team of developers, data analysts, and AI engineers.
• Manage the full analytics delivery lifecycle - from requirement definition and data design to solution deployment and insight communication.
• Ensure alignment between business needs, data capabilities, and technical execution.
• Promote collaboration, agile delivery, and continuous improvement within the team.

• Project & Execution Management

• Translate business problems into structured data and analytics solutions.
• Oversee the development of data models, dashboards, APIs, and AI/ML solutions.
• Prioritize workloads, manage dependencies, and track progress to ensure timely, high-quality deliverables.
• Implement scalable processes for data validation, governance, and version control.

• Stakeholder Management

• Collaborate closely with product owners, business stakeholders, and internal teams to understand goals and translate them into actionable analytics initiatives.
• Present insights, solution proposals, and progress updates in a clear, business-friendly manner.
• Influence decision-making through data-driven insights and visual storytelling.

• Innovation & Capability Building

• Encourage adoption of modern data technologies and AI frameworks within the team.
• Identify opportunities to automate manual processes and improve data workflows.
• Keep abreast of emerging analytics tools, MLOps practices, and AI trends to enhance team capabilities.

Required Skills

• Hands-on expertise in SQL, Python, and Power BI (or equivalent BI tools).
• Experience managing cross-functional technical teams and coordinating delivery across analytics, development, and AI tracks.
• Strong communication and stakeholder management skills.
• Working knowledge of cloud environments and API-based solution design.

Preferred Experience

• 5+ years of experience in analytics, data engineering, or application development, with at least 1 - 2 years in a leadership or project management capacity.
• Exposure to AI/ML development lifecycles and integration into analytics platforms.
• Experience working in agile environments with sprint planning, retrospectives, and release management.
• Understanding of data architecture, CI/CD for analytics, and version control systems (Git).

Required Qualifications

• Bachelor's degree in computer science, Data Science, Engineering, or a related discipline.
• Certifications in project management, cloud, or analytics (optional but preferred).