Team Lead - BI & Data Analytics

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility
-our people are energized problem solvers that take pride in how thework we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!

Job Description
This strategic leadership role drives data-driven decision-making, digital transformation, and innovation across Rockwell Automation's business segments. The Team Leads, leads a team of BI and Analytics professionals, ensuring robust solutions that leverage  Quick Base, Power Platform, SQL, SharePoint, Data Lake, and AI/ML technologies . By aligning analytics initiatives with business objectives, this role enhances operational efficiency, scalability, and customer experience.
You will be reporting to Manager Ops and work in a hybrid capacity
We are open to hire - Pune & Noida location.

Your Responsibilities:
Data Strategy & Analytics Excellence
Define and execute BI strategy to support enterprise reporting and advanced analytics.
Develop and maintain dashboards, reports, and data models using Power BI, SQL, SharePoint, and Data Lake.
Ensure data integrity, governance, and compliance across all platforms.
Apply best practices for data visualization and storytelling to enable actionable insights.
Low Code platform
Knowledge of Quick Base is preferred, along with experience in designing and delivering web-based applications using Quick Base configurations, Actions, Webhooks, Automations, Pipelines, and Integrations.
Familiarity with scripting languages (JavaScript, jQuery, Jinja), RESTful API integrations, OAuth, token-based authentication, and testing methodologies (System, Unit, End User, Blackbox & Integration) is highly desirable.
Knowledge of automation using Power Automate and Power Apps to streamline processes and enhance productivity.
Data Lake & Modern Architecture
Implement and manage enterprise Data Lake solutions for centralized scalable data storage.
Optimize data ingestion, transformation, and retrieval processes for analytics and AI workloads.
Ensure secure and efficient integration of Data Lake with BI tools and cloud platforms.
Project & Change Management
Manage multiple analytics projects from requirements gathering to deployment.
Develop project plans, mitigate risks, and ensure timely delivery of measurable outcomes.
Lead change management efforts to drive adoption of BI tools and data-driven culture.
Stakeholder Engagement & Collaboration
Partner with cross-functional teams to identify analytics opportunities and align priorities.
Facilitate workshops to gather requirements and promote data literacy across the organization.
Present insights and strategic recommendations to senior leadership.
Innovation & Continuous Improvement
Champion digital transformation through modern data platforms and cloud technologies.
Foster a culture of innovation by exploring emerging trends in BI, Data Lake, and AI.
Optimize workflows and reporting processes to improve efficiency and scalability.
The Essentials
- You Will Have:

Bachelor's/Master's degree in Computer Science, Data Analytics, or related field
10+ years of experience in BI, Data Analytics, or related leadership roles
Expertise in  Quick Base ,  Power Platform (Power BI, Power App, Power Automate) ,  SQL ,  SharePoint ,  Data Lake
Strong knowledge of  data modeling ,  ETL , and  cloud-based data platforms
Proven track record in managing complex BI projects and driving measurable outcomes
Familiarity with  Agile methodologies  and project management tools (Azure Dev Ops, Jira, MS Project)
Excellent communication and stakeholder engagement skills
Proficiency in visualization and collaboration tools (Power BI, Miro, Visio, MS Office Suite)
Knowledge of  data governance , lifecycle…