1 month ago
Analytics Modeler
Ford Motor Company
On Site
Full Time
$120,000
Chennai, Tamil Nadu, India
Job Overview
Job TitleAnalytics Modeler
Job TypeFull Time
Offered Salary$120,000
LocationChennai, Tamil Nadu, India
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Job Description
Analytics Modeler
This role is pivotal in understanding customer behavior and translating business challenges into intelligent analytical solutions. The ideal candidate will combine deep expertise in predictive modeling, AI/ML, and conversational AI with strong business engagement skills to deliver impactful, technology-driven solutions that enhance customer experience and drive business growth.
Responsibilities
- Strategic Business Partnership: Collaborate closely with business stakeholders to deeply understand business challenges, define key performance indicators (KPIs), and translate complex customer-focused questions into clear, actionable analytical requirements. Act as a trusted analytics advisor to business teams, proactively identifying opportunities where data and AI can solve real business problems.
- Customer Insight & Propensity Modeling: Conduct in-depth analysis of customer behavioral data to identify trends, patterns, and opportunities. Design, develop, and deploy propensity models (e.g., purchase propensity, churn prediction, upsell/cross-sell likelihood, lead conversion likelihood) using advanced statistical and machine learning techniques. Translate model outputs into actionable business recommendations.
- Agentic AI Application Development & Optimization: Lead the design, development, and continuous improvement of AI-powered solutions to enhance customer engagement and automate customer interactions. Collaborate with product and technology teams to integrate Agentic AI capabilities, define conversation flows, and measure chatbot effectiveness through relevant KPIs.
- BI & Data Product Development: Build, maintain, and optimize interactive dashboards and reports using BI tools (e.g., Power BI, Qlik Sense) to visualize Customer performance metrics. Develop robust and scalable data pipelines to ensure timely, accurate, and reliable data flow from various customer data sources into analytical platforms.
- Process Efficiency & Innovation: Continuously identify opportunities to enhance data collection, processing, analysis, and insight delivery workflows. Proactively research, evaluate, and implement new tools, technologies, and methodologies — including Generative AI — to increase efficiency, accuracy, and depth of analytical capabilities.
- Cross-functional Collaboration: Work seamlessly with data engineers, IT, marketing, and product teams to ensure data consistency, integrate analytical solutions, and drive data-driven decision-making across the organization. Effectively communicate complex analytical findings and model outputs to both technical and non-technical audiences.
Qualifications
- MBA/Masters in a quantitative discipline like Mathematics/Statistics/Operations Research/Computer Science/Economics/Engineering or B-Tech in any related engineering discipline.
- The ideal candidate should have 3+ years of experience in the Marketing Analytics domain with a strong foundation in analytical thinking and problem-solving.
- They must possess proven technical expertise in AI/ML modeling, including propensity and predictive modeling, along with hands-on experience in Agentic AI applications development and Conversational AI.
- The candidate should be proficient in Python and SQL, experienced in working with GCP and BigQuery, and capable of building dashboards using Power BI or Qlik Sense.
- Strong understanding of Digital Marketing and Customer Analytics, combined with data handling and ETL processes, is essential.
- Above all, the candidate must demonstrate the ability to confidently engage with business stakeholders and deliver technology-driven solutions that create measurable business impact.
Key skills/competency
- Analytics Modeler
- Predictive Modeling
- AI/ML
- Conversational AI
- Customer Behavior Analysis
- Business Partnership
- Data Visualization
- Data Pipelines
- Python
- SQL
How to Get Hired at Ford Motor Company
- Tailor your resume: Highlight marketing analytics, AI/ML, and Python/SQL experience.
- Showcase business acumen: Emphasize stakeholder collaboration and impact-driven solutions.
- Demonstrate technical skills: Detail experience with GCP, BigQuery, Power BI, or Qlik Sense.
- Prepare for behavioral questions: Practice explaining complex analysis to non-technical audiences.
- Network within Ford: Connect with current employees for insights into company culture.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific types of predictive models are expected for the Analytics Modeler role at Ford?
02How important is experience with AI/ML and Conversational AI for this Analytics Modeler job?
03What programming languages and platforms are essential for the Analytics Modeler role at Ford?
04Does the Analytics Modeler role at Ford require direct experience with business stakeholders?
05What are the educational requirements for the Analytics Modeler position at Ford?
06How many years of experience are generally needed for the Analytics Modeler role at Ford?
07What kind of data products will an Analytics Modeler at Ford be responsible for?
08What is the role of Generative AI in the Analytics Modeler position at Ford?
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