Job Overview

We’re seeking - a strategic thinker, analytical storyteller, and trusted advisor to our global marketing and commercial teams. This role is ideal for a seasoned analytics professional who combines technical depth with business acumen and has a proven ability to translate complex datasets into strategic insights that influence decisions and drive measurable growth. 

You will lead the end-to-end insights lifecycle - from defining analytical requirements and shaping data strategy, to building analytical frameworks, crafting visualizations, and delivering compelling data narratives that guide business strategy. You will act as a key bridge between data, technology, and business, ensuring insights are not only accurate but also actionable and aligned to organizational priorities. 

In this role, you will work across marketing, sales, digital, and customer experience datasets to uncover performance drivers, identify growth opportunities, and forecast business outcomes. You’ll partner with other COE team members and translate raw data into stories that inspire confident decision-making - leveraging dashboards, deep-dive analyses, and predictive models. 

You will also play a pivotal role in advancing the analytics maturity of the function - partnering with data engineers, data insights partner, and marketers to improve data accessibility, enhance reporting efficiency, and embed a culture of data-driven decision-making. Familiarity with AI and machine learning applications will enable you to deliver predictive and prescriptive insights that accelerate TE’s digital and commercial transformation journey. 

Roles & Responsibility:

• Strategic Insight & Analytics: Partner with business insights partners and marketers to identify analytical opportunities and translate business challenges into measurable, data-driven hypotheses. Provide strategic insights across campaign performance, sales funnel activity, digital engagement, and customer lifetime value. Lead complex analyses that connect the full buyer’s journey - from awareness to conversion and retention 

• Data Storytelling & Visualization: Deliver compelling narratives and executive-level dashboards using tools like Tableau, Power BI, Python and other tools to drive data accessibility and adoption. 

• Advanced Analytics & AI Integration: Apply advanced analytical techniques including predictive modeling, clustering, NLP, and A/B testing to optimize marketing and customer strategies. Partner with data engineers and other teams to scale insight capabilities using data lakes, cloud platforms, and machine learning frameworks. 

• Insight Generation: Proactively uncover insights that go beyond descriptive analytics to inform strategic marketing and sales decisions. Strong ability to map and analyze the full Buyer’s Journey, connecting marketing metrics, lead funnel stages, and sales performance indicators (e.g., pipeline, conversion, revenue) to drive strategic insights and business impact. i.e - Provide strategic insights across campaign performance, sales funnel activity, and web behavior. 

• Performance Measurement & Optimization: Quantify the impact of marketing and commercial initiatives on key KPIs - including pipeline conversion, campaign ROI, customer acquisition, retention, and CLV. Conduct ad hoc and deep-dive analyses to proactively uncover opportunities for optimization across digital, CRM, and sales channels. 

• Collaboration & Project Ownership: Collaborate cross-functionally with marketing, data engineering, product, and commercial teams to deliver insight-driven solutions on time and with measurable business value. Manage multiple concurrent analytics projects with a strong focus on quality, timelines, and stakeholder communication. 

• Project & People Leadership: Manage multiple high-impact projects, though an individual contributor but mentor junior analysts to elevate team capabilities is required. 

• Business Intelligence & Reporting: Design, build, automate and maintain end-to-end BI solutions to track marketing performance, campaign ROI, and customer engagement. 

• Impact Quantification: Use statistical analysis / advanced analytical techniques to measure the impact of marketing initiatives on KPIs such as revenue, retention, customer lifetime value, attribution and A/B testing. 

• Ad Hoc Analysis: Deliver timely, insightful analyses to address specific business questions or challenges. 

• Innovation & AI Adoption: Champion the use of generative and predictive AI models to enhance business reporting and decision-making. 

Desired Candidate Profile:

EDUCATION/KNOWLEDGE 

• University degree or college in Statistics, Business or Marketing. 

CRITICAL EXPERIENCE 

• 5+ years of experience in data analytics, business intelligence, or marketing analytics, with a strong ability to work across cross-functional teams and senior stakeholders. 

• Proven experience designing and delivering endtoend analytics solutions using Databricks, Microsoft Fabric, and Power BI, spanning data ingestion, transformation, semantic modeling, and executivelevel visualization. 

• Strong hands‑on expertise with Databricks (SQL, Python, PySpark, Delta Lake) to perform advanced analytics, predictive modeling, and large‑scale data processing across marketing, sales, and customer datasets. 

• Demonstrated experience working with Microsoft Fabric (OneLake, Data Engineering / Data Science workloads, semantic models) to enable scalable, governed, and highperformance analytics solutions. 

• Advanced proficiency in Power BI, including data modeling, DAX, performance optimization, and the creation of executive dashboards that translate complex data into clear, actionable business insights. 

• Proven ability to partner with data engineering and platform teams to build and optimize modern lakehouse and analytics architectures, improving data accessibility, reporting efficiency, and delivering strategic insights. 

• Expertise in analytical modeling, machine learning, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance. 

• Excellent storytelling and executive presentation skills - able to distill complexity into clear business recommendations. Proven ability to work with cross-functional and senior stakeholders to influence decision-making. 

• Proven success coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations. 

• Experience with CRM, marketing automation, Digital Ads and digital analytics platforms (e.g., Salesforce, Eloqua, Adobe Analytics, Ad Platforms). 

• Ability to lead cross-functional initiatives and mentor junior team members. 

• Exceptional communication and meeting management skills, with fluency in English. 

• Analytical thinker with strong business acumen, able to synthesize data and derive meaningful, strategic conclusions. 

• Collaborative and self-driven, equally effective in team settings or independent roles. 

Competencies