Business Intelligence Data Analyst

TE Connectivity Ltd.; Birmingham; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading technology firm in Birmingham is seeking a strategic Business Analyst to lead AI and analytics initiatives within the Energy Business Unit. This role focuses on driving data quality, embedding AI across operations, and delivering measurable business outcomes. The ideal candidate has over 10 years of experience in data leadership and a strong knowledge of data systems and AI technologies. Join us to transform business intelligence and drive innovation in the energy sector.

Qualifications

• 10+ years in data and analytics leadership or applied AI roles.
• Experience delivering measurable business outcomes through AI.
• Hands-on with LLMs, Python scripting, or workflow automation.

Responsibilities

• Lead data, analytics, and AI initiatives in Energy Business Unit.
• Partner with business functions to embed AI across operations.
• Drive adoption of scalable data products and One Data Platform.

Skills

Leadership

Analytical skills

AI expertise

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, or Data Science

Advanced degree (MBA, MS)

Tools

Databricks

Snowflake

Azure Synapse

Salesforce

Job description

Overview

Specializes in data architecture for reporting services, and designing expertise in data warehouses, data marts, and business intelligence (BI) enterprise reporting. Identifies ways to increase the use of BI within TE, designing end-to-end BI solutions that provide insights and information for key decision-makers. Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements. May provide consultation to users and lead cross‑functional teams to address business issues.

We are seeking a strategic and hands‑on Business Analyst to lead data, analytics, and AI initiatives within the Energy Business Unit. This role will drive data quality, advanced analytics, and AI adoption to enable business transformation, accelerate enterprise standards, and modernize legacy systems. You will act as a bridge between business opportunity, digital capability, and advanced analytics, ensuring every initiative delivers tangible value. You will partner with business functions to embed AI and automation across operations, sales, marketing, and digital teams.

AI Strategy & Product Delivery

• End‑to‑end design and delivery of AI‑powered tools and automation solutions across business functions.
• Identify and prioritize high‑value AI, advanced analytics, and data science use cases aligned with strategic priorities.
• Build ROI‑based business cases and own success metrics from prototype through scale.
• Assess the suitability and potential impact of emerging technologies, including agentic AI, large language models (LLMs), and cognitive automation.

Business Engagement & Demand Shaping

• Partner with business leaders to identify analytics, data science, and AI opportunities.
• Shape and prioritize data‑driven use cases aligned with business goals and enterprise solutions.
• Establish a demand management framework to connect business needs with data capabilities.

Data Platform Adoption & Modernization

• Drive adoption of scalable data products and the One Data Platform.
• Advise on data integration, self‑service analytics, and advanced AI/ML capabilities.
• Lead retirement of legacy platforms and migration to modern solutions.

Data & AI Literacy, Enablement, and Culture Building

• Execute training programs and "AI Quick Start" initiatives to enable self‑service analytics and AI adoption.
• Foster a data‑driven culture through awareness, best practices, and success stories.
• Build and sustain an AI community of practice to share tools and lessons learned.

Data Readiness & Governance

• Partner with Data & Analytics teams to ensure priority AI use cases have the required data access and quality.
• Identify and resolve critical data gaps, recommend improvements, and ensure alignment with governance and security standards.
• Leverage enterprise data platforms (Salesforce, SAP, Databricks, etc.) for active AI projects.

Responsible AI & Measurement

• Establish and communicate clear principles for responsible AI use, ensuring ethical, transparent, and compliant application.
• Develop KPIs and dashboards to track AI adoption, impact, and ROI.
• Measure business value delivered through AI (revenue growth, cost avoidance, efficiency gains).
• Stay current on emerging AI tools and technologies.
• Evaluate partnerships with vendors, startups, and enterprise teams to accelerate deployment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MBA, MS, or equivalent) preferred.
• ~10+ years in data and analytics leadership, digital product management, or applied AI roles within complex organizations.
• Proven track record delivering measurable business outcomes through AI, automation, or digital transformation.
• Hands‑on experience with LLMs, prompt engineering, Python scripting, or workflow automation.
• Strong understanding of data systems (Databricks, Snowflake, Azure Synapse, SAP, Salesforce) and governance principles.
• Exceptional ability to translate complex technical concepts into business‑relevant narratives and use cases.
• Demonstrated success in driving organizational change and data literacy.
• Experience in manufacturing, supply chain, sales & ops planning, or shop floor data.
• Knowledge of modern cloud architectures (Databricks, Snowflake, Azure, AWS, GCP).
• Strong understanding of AI ethics, data privacy, and regulatory frameworks.
• Effective collaboration across technical and business teams.
• Integrity, Accountability, Inclusion, Innovation, Teamwork.

Impact & Measurement

• Business impact: Value created via AI‑enabled use cases (revenue growth, cost savings, efficiency).
• Percentage of teams using AI tools and automation.
• Enablement: Number of employees completing AI literacy programs.
• Reuse rate of AI models and tools across functions.
• Demonstrated AI‑first mindset and proactive experimentation.

Join our team and play a pivotal role in transforming how the Energy Business Unit leverages data, analytics, and AI to drive growth, efficiency, and innovation. If you’re passionate about building innovative solutions and shaping the future of work, we’d love to hear from you. #Integrity, Accountability, Inclusion, Innovation, Teamwork