Bangalore Analyst Data & Insights Ii Ka 560076

Job description

Job Overview

We’re hiring a data-driven storyteller and problem-solver. This Data Insights Analyst II will join our growing Digital Center of Excellence. This role is ideal for a high-performing individual contributor who can translate business requirements into analytical solutions, build impactful visualizations, and provide actionable insights that drive business growth. In this role, you will analyze a wide range of marketing and sales data - including campaign performance, website activity, product engagement, and customer revenue - to uncover trends, craft compelling data stories, and influence key business decisions.

You’ll own the end-to-end lifecycle of insight generation - from understanding business problems to crafting dashboards and narratives that drive decisions. Familiarity with emerging ML and AI technologies is key to delivering forward-looking solutions. Additionally, you’ll be responsible for conducting regular and ad hoc analyses that dive deep into data to uncover the actionable insights and recommendations that will help TE take-action responsively and proactively to optimize business efforts.

The successful candidate will utilize modern analytics technologies including Power BI, Databricks, Microsoft Fabric, and SQL to analyze data, define metrics, develop dashboards, and communicate recommendations. Python, machine learning, and AI exposure are valuable differentiators, but the core expectation is strong business analysis, Insights generation, BI delivery, and collaborative problem-solving capability.

Roles & Responsibilty

Problem Solving: Translate complex business and customer challenges into data-driven hypotheses and actionable recommendations.

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.

Data Storytelling

Create compelling narratives and intuitive visualizations that simplify complex data and drive stakeholder action. Present data in a compelling, audience-friendly format, with a strong emphasis on storytelling.

Business Requirements & Solution Clarification

Translate business requirements provided by the Insights Partner into clear analytical, reporting, and BI solution requirements. Participate in working sessions with the Insights Partner and business stakeholders to validate assumptions, clarify requirements, define KPIs, and align on expected business outcomes.

Business Intelligence & Reporting

Design, build, automate and maintain end-to-end BI solutions to track marketing performance, campaign ROI, and customer engagement.

Campaign & Demand Analysis

Evaluate marketing campaigns and demand generation programs to assess their impact on lead generation, customer acquisition, and revenue growth.

Cross-Tactic Data Analysis

Analyze data from CRM, web analytics, social media, email, search, and sales channels etc. to identify optimization opportunities.

Ad Hoc Analysis

Deliver timely, insightful analyses to address specific business questions or challenges.

Cross-functional Collaboration

Work cross-functionally with data engineers, product managers, and marketers to align priorities and timelines.

Advanced Analytics Enablement

Where skills and use cases allow, apply Python, statistical techniques, machine learning, or AI-enabled approaches to improve forecasting, segmentation, anomaly detection, recommendation, and insight generation.

Project Management

Manage multiple projects concurrently with attention to deadlines, scope, and quality.

Desired Candidate Profile

EDUCATION/KNOWLEDGE: University degree or college in Engineering, Statistics, Business or Marketing or any related field.

CRITICAL EXPERIENCE

5+ years in data analysis, account management, or business intelligence, with a strong ability to work across cross-functional teams and senior stakeholders. Expertise in translating complex data into clear, actionable insights, with strong storytelling and presentation skills. Strong hands-on experience with Power BI, Databricks, SQL, Microsoft Fabric, and Microsoft Office (Excel, PowerPoint, and SharePoint) for data analysis, reporting, and business intelligence solutions.

Experience with Python for data analysis, automation, and advanced analytics is desirable. Exposure to machine learning, predictive analytics, and AI-enabled solutions is considered a strong advantage. Experience working with data lakes or cloud platforms like AWS/Azure/GCP is a plus. Strong data storytelling, presentation, and written communication skills, with the ability to tailor insights for both business and technical audiences.

Proven ability to review and clarify business requirements, identify gaps or dependencies, document analytical and technical requirements, and convert them into measurable analytics deliverables. Experience working with data from marketing automation, CRM, and digital analytics platforms (e.g., Adobe Analytics, Google Analytics, Eloqua, Salesforce, and advertising platforms). Understanding of marketing measurement concepts such as attribution, A/B testing, customer lifetime value, retention, and funnel analysis.

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. Analytical mindset, business acumen, attention to detail, and the ability to manage multiple priorities with limited supervision. Experience analyzing campaign performance, lead funnel metrics, customer engagement, pipeline contribution, conversion rates, and revenue impact is highly preferred.

Familiarity with statistical analysis, marketing attribution, and predictive analytics is a plus.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork