Senior Analyst - Data Analytics

Senior Data Analyst Digital Products (AI & Advanced Analytics)

Location: Bengaluru, India (Local Candidates Preferred)

Role Type: Individual Contributor

Experience: 610 years

BrandSafway is a leading provider of specialty services to North America's energy markets. Its extensive portfolio of specialized industrial service offerings includes scaffolding, coatings, insulation, refractory, forming & shoring, cathodic protection, mechanical services and other related crafts. The company also serves the infrastructure and commercial markets throughout North America and in strategic international regions. Brand operates in five key market segments: Upstream/Midstream, Downstream, Power Generation, Industrial and Infrastructure.

Role Overview

The Senior Data Analyst Digital Products will lead advanced analytics and AI initiatives in close partnership with Sales and Growth stakeholders. This role applies statistical modeling, machine learning, and generative AI to solve complex commercial problems and enable scalable, data-driven digital capabilities.

Key Responsibilities

• Own complex analytics and AI initiatives supporting Sales and Growth objectives
• Design, build, and deploy machine learning models (predictive, classification, optimization)
• Develop and apply Generative AI / LLM solutions for commercial and productivity use cases
• Translate business problems into analytical approaches and models
• Measure model performance, adoption, and business impact
• Collaborate with product managers, engineers, and business leaders
• Provide technical mentorship to junior analysts (no formal people management)
• Communicate insights and recommendations to senior stakeholders

Required Qualifications

• 610 years of experience in data analytics, data science, or applied AI
• Strong foundation in advanced analytics and statistics
• Hands-on experience with machine learning models in production or near-production settings
• Practical experience working with Generative AI / LLMs
• Proficiency in Python (and/or R), SQL, and data science libraries
• Ability to independently drive projects end-to-end

Preferred Qualifications

• Experience supporting Sales, Growth, or commercial teams
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Experience quantifying business impact and ROI of analytics/AI initiatives
• Familiarity with MLOps concepts