07 Aug
|
TE Connectivity
|
Bengaluru
07 Aug
TE Connectivity
Bengaluru
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
Manages Business Intelligence procedures and day-to-day tactical operations for the Business Intelligence team.
Job Requirements
- Providing technical expertise, implementing business intelligence best practices, developing and enforcing standards, and ensuring the overall quality of the deliverables.
- Managing the translation of complex business requirements into technical requirements.
- Managing and implementing functional business intelligence framework, analyzing and reporting critical business trends, and driving the marketing intelligence needs.
- Managing the team in application and mastery of Business Intelligence to perform data requirements gathering, analysis, profiling, modeling, development and testing.
Roles Responsibilities
- Build, lead, and scale the central Analytics Organization for ICT within the Business Excellence Hub. Define the analytics operating model, governance structure, service catalogue, roles, responsibilities, and ways of working.
- Establish the team as the central analytics organization for ICT, serving leadership, functions, regions, and employees.
- Reduce fragmented reporting, eliminate duplicate efforts, and release workload from ICT employees.
- Develop the team structure, capability model, hiring plan, onboarding approach, and talent development roadmap.
- Define and lead the Business Analytics strategy for ICT. Partner with the ICT Leadership Team as well as all functions to identify business priorities, performance gaps, analytics needs, and decision-support requirements.
- Translate business priorities into a focused analytics roadmap covering KPI reporting, executive dashboards, productivity, cost-to-serve, service performance, transformation tracking, and risk indicators.
- Drive the evolution from reactive reporting to proactive insights and predictive analytics.
- Establish clear prioritization, governance, service levels, and delivery standards for analytics work.
- Lead the design and management of major ICT KPI reporting, dashboards, scorecards, and leadership reporting packs.
- Establish consistent KPI definitions, ownership, reporting cadence, data sources,
and performance targets.
- Provide central dashboards as a one-stop shop for ICT performance data and insights.
- Support business reviews, operating reviews, transformation reviews, and leadership decision-making with accurate and timely insights.
- Monitor performance across financial, operational, commercial, delivery, transformation, workforce, customer, risk, productivity, and cost-to-serve dimensions.
- Develop analytics solutions that provide actionable insights across ICT and the broader Business Unit.
- Identify trends, risks, opportunities, root causes, and performance improvement levers through structured analysis.
- Convert complex data into clear insights, business narratives, and leadership-ready recommendations.
- Enable scenario analysis, proactive alerts, predictive insights, benchmarking, and performance modeling where relevant.
- Support Business Excellence and cost-to-serve optimization by ensuring one source of truth, central dashboards, and clear business requirements for high-impact analytics solutions.
- Collaborate closely with the IT team of ICT to support scalable analytics, complex automation, and AI-enhanced solutions.
- Translate business needs, KPI definitions, data insights, and process knowledge into clear technical requirements.
- Partner with DDT who is accountable for execution of complex automation solutions.
- Identify automation opportunities in reporting and analytics processes and support business case development and prioritization.
- Ensure analytics tools and solutions align with enterprise architecture, data security, compliance, and governance standards.
- Build scalable self-service analytics capabilities for leadership teams, functional users, and regional stakeholders.
- Reduce dependency on manual ad hoc reporting while preserving flexibility for business needs.
- Improve dashboard usability, adoption, and accessibility through continuous user feedback.
- Promote data literacy, analytical curiosity, and self-service decision support across ICT.
Desired Canddiate
- 10+ years of experience in Business Analytics, Business Intelligence, Performance Management, Data Analytics, Transformation Analytics, Consulting, Digital Operations, or related business functions.
- 5+ years of experience in analytics solution design, KPI development, reporting governance, dashboarding, optimization, automation, or advanced analytics.
- Minimum of 5 years of leadership experience managing teams or leading cross-functional analytics initiatives.
- Experience setting up or scaling an analytics organization, center of excellence, shared analytics capability, or business intelligence function preferred.
- Experience partnering with senior stakeholders across functions and geographies.
- Experience working closely with IT, data engineering, BI, automation, or digital teams to define requirements and support delivery.
- Exposure to ICT, technology services, business operations, commercial performance, finance, project delivery, supply chain, or transformation environments preferred.
- Strong analytical, strategic, and tactical thinking capabilities.
- Excellent communication skills, with the ability to translate data into executive-ready insights and recommendations.
- Solid knowledge of KPI frameworks, dashboarding, reporting governance, business intelligence, and one-source-of-truth principles.
- Strong stakeholder management and influencing skills in a cross-functional and global environment.
- Strong organizational, program management, and project management skills.
- Demonstrated leadership, coaching, and team-building skills.
- Experience with analytics and visualization tools such as Power BI, Tableau, Qlik, Looker, Excel, SQL, or similar platforms.
- Knowledge of data governance, data quality, reporting automation, and self-service analytics principles.
- Familiarity with AI, machine learning, GenAI, LLMs, automation, and digital transformation concepts preferred.
- Business acumen across Operations, Finance, Commercial, IT, HR, Transformation, Supply Chain, and Program/Project Management.
Competencies
SET : Strategy, Execution, Talent (for managers)
📌 Senior Manager Business Analytics (Bengaluru)
🏢 TE Connectivity
📍 Bengaluru