Analyst-Data Science

In this role, you will be responsible for developing innovative data products and implementing automation, advanced AI/ML, and Generative AI capabilities within existing solutions to drive business value.
We are seeking a proactive Analyst to work within a multi-disciplinary team of data scientists, engineers, and modelers. You will contribute to the entire lifecycle of complex analytical forecasting projects, from data exploration to model deployment to validation and testing. This role requires a strong technical foundation, hands-on coding expertise, and the ability to translate data into actionable insights.
 

Responsibilities

Key Responsibilities

• Demand Forecasting & Advanced Modeling:
  Develop and maintain high-accuracy short-term and long-term demand forecasts at Automotive Segmentation and Powertrain levels. Build, validate, and deploy time-series models (e.g. ARIMA) and ML algorithms to identify market trends, seasonal patterns, and macroeconomic influences.

• Process Innovation using AI: Proactively integrate Generative AI / Agentic AI and other modern AI tools into daily workflows to automate repetitive tasks, find and execute efficiencies, and accelerate data insights.
• Business Engagement and Presentation: Act as a strategic partner to Sales, Marketing and Finance teams, translating analytical outputs into clear business recommendations. Lead monthly forecasting reviews, presenting findings to senior stakeholders with clarity and confidence.
• Visualization & Reporting: Design and maintain interactive dashboards that provide executive leadership with real-time visibility into sales performance and forecast accuracy.
• Cross-Functional Collaboration: Partner with business and engineering teams to understand data requirements. You will translate complex technical findings into clear, data-driven recommendations and present insights to stakeholders to support business strategy.

Technical Skills & Qualifications

• Forecasting & Statistics:
  Hands-on project or professional experience in time-series forecasting using Classical (e.g. ARIMA, Prophet, Regression) and ML (e.g. Advanced Regression, Random Forest, Gradient Boosting) techniques, together with understanding of hypothesis testing, stationarity, time-series decomposition, parameter tuning and other related concepts.
• AI/ML Expertise:
  Original: Experience developing machine learning models (Supervised/Unsupervised) to solve predictive analytics problems.
   

• Programming:

  Proficiency in Python (Pandas, NumPy, Matplotlib, Scikit-learn) or R for data preparation, statistical analysis, visualization, and predictive modeling. SQL skills for data extraction and analysis are highly preferred.

• Data Visualization (Optional):

  Hands-on experience with Power BI, Tableau, and MS Excel for data analysis, reporting, and communicating analytical findings through clear visual narratives.

• AI Tool Integration:
  Demonstrated ability to use AI productivity tools (e.g., LLMs, GitHub Copilot) for data analysis, coding assistance, and workflow optimization.

Behavioral Competencies

• Curious & Innovative: A natural tendency to ask “why” and a drive to investigate the root causes of data anomalies.
• Quick Learner: Ability to rapidly pick up new technical tools and adapt to changing automotive market dynamics (e.g., EV transition, software-defined vehicles).
• Team Player: Collaborative mindset with the ability to work effectively across cross-functional global teams.
• Strong Communication and Presentation skills
• Business Acumen: A keen interest in the automotive industry and the ability to link data patterns to real-world business outcomes.

Qualifications

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Economics,
• 2+ years of experience in data analytics, forecasting, or a strategic planning role (Automotive experience is a significant plus).