Associate Analytics Manager
21 hours ago
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).
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