Chennai City Corporation, India | Posted on 24/09/2026
Job Summary - Job Description (Internal) Job Summary - Job Advert (External)
The Manager, Data Analytics leads data analytics delivery and operational performance across analytics products, business intelligence, reporting, visualization, and decision-support capabilities. This people-leader role translates business and product priorities into plans, establishes quality and governance expectations, manages risks and dependencies, and develops a high-performing team that delivers measurable outcomes. DU Tech is looking for a Manager, Data Analytics to lead data analytics capabilities across analytics products, business intelligence, reporting, visualization, and decision-support capabilities. This role combines people leadership, delivery accountability, stakeholder partnership, and disciplined execution to deliver reliable, scalable, secure, and customer-focused outcomes.
Job Responsibilities
Delivery & Execution
- Lead planning, delivery, and operational performance for data analytics.
- Guide a team responsible for analytics products, business intelligence, reporting, visualization, and decision-support capabilities.
- Translate priorities into roadmaps, plans, backlogs, and measurable outcomes.
- Reinforce quality, architecture, security, privacy, compliance, and operational standards.
- Manage capacity, delivery risks, dependencies, budgets, and vendors as applicable.
- Use metrics to improve quality, speed, reliability, cost, and stakeholder value.
Support & Enablement
- Lead, coach, and develop team members; support hiring, performance, and talent processes.
- Build strong partnerships across business, product, architecture, security, data, and technology teams.
- Communicate priorities, progress, risks, and decisions clearly.
- Create an inclusive, accountable, and high-performing team environment.
Requirements
Education & Experience Type of Experience*
- Bachelor's degree in Computer Science, Information Technology, Engineering, Design, Analytics, Business, or a related discipline
- 4 to 9 years of relevant experience in data analytics or a closely related discipline
- Experience with analytics products, business intelligence, reporting, visualization, and decision-support capabilities
- Experience leading teams, workstreams, programs, or technology delivery in a complex organization
- Knowledge of SQL, data visualization, BI tools, analytical methods, metrics design, and data storytelling
- Experience collaborating across business and technology teams
- Strong analytical, problem-solving, written, and verbal communication skills
Key Primary Skills
- Design, implement, and maintain CI/CD pipelines for build, test, and deployment automation
- Manage cloud infrastructure (Azure/AWS/GCP) using Infrastructure as Code (Terraform, ARM, CloudFormation)
- Automate environment provisioning, monitoring, and scaling
- Partner with development, QA, security, and release teams to improve deployment reliability
- Implement monitoring, alerting, and logging solutions (App Insights, Splunk, Datadog, Prometheus)
- Enforce security best practices, vulnerability remediation, and compliance controls
- Troubleshoot production issues and support incident response and root cause analysis
Secondary Skills
- Lead, coach, develop, and motivate team members through clear goals, regular feedback, performance management, and development planning.
- Build and maintain effective relationships with business, technology, vendor, and leadership stakeholders across a matrix environment.
- Develop and maintain clear documentation for the data analytics work delivered by the team.
- Communicate delivery status, risks, trends, issues, and improvement recommendations to stakeholders and leadership.
- Promote data governance, security, privacy, access management, and compliance considerations in engineering processes.
- Foster a diverse, inclusive, collaborative, and service-oriented team culture.
Preferred Qualifications & Interests (PQIs)
- Master's degree in a related technical or business field is preferred
- Advanced knowledge of SQL, data visualization, BI tools, analytical methods, metrics design, and data storytelling
- Experience with enterprise-scale cloud, data, digital, retail, pharmacy, healthcare, or customer technology environments
- Experience working with global teams, managed service partners, or distributed delivery models
- Relevant industry, cloud, agile, product, architecture, data, security, design, or technology certifications are preferred