Hello, I'm

Chandra
Subramanian

Market Intelligence & Commercial Analytics

I help commercial teams sell smarter. With an MBA in International Management and hands-on experience across European B2B and FMCG markets, I turn fragmented data into clear competitive intelligence that shortens sales cycles, sharpens pricing strategy and opens new revenue opportunities.

View My Work ↓ LinkedIn ↗
Chandra Subramanian
Open to opportunities
About Me

Your team needs someone who can walk into a new market, build the intelligence infrastructure from scratch and hand your sales force a playbook they can act on within weeks. That is exactly what I do.

At Vaisala, the European sales team was relying on expensive third-party databases that were outdated and incomplete. I replaced the entire system with an AI-powered intelligence pipeline that covered 13 markets and gave every sales manager a single, reliable source of truth for prospecting. The result: a validated database of nearly 1,900 active projects that the team could prioritise by region, segment and deal size — intelligence that previously took weeks to compile was now available in real time.

At Hyundai Mobis, I spent three years managing product performance analytics across four global regions, building the dashboards and reporting workflows that helped programme managers make faster, evidence-based decisions on quality, cost and delivery.

Whether the challenge is sales enablement, competitive benchmarking, product strategy or pricing analytics — I bring an engineer's rigour, an MBA's commercial lens and the hands-on ability to build the tools myself rather than waiting for IT. If your team needs someone who can bridge the gap between raw data and a revenue conversation, let's talk.

📈
Market Intelligence
Competitive analysis, market mapping, pricing intelligence and sales enablement across European B2B and FMCG sectors.
🛠
Product & Strategy
End-to-end product lifecycle management from customer discovery and requirements analysis through to developer-ready specifications.
📊
Analytics & BI
SQL, Power BI and Python-based analytics pipelines that transform raw data into executive-ready insights and automated reporting.
Experience

Professional Background

2026 – Present
Product & Strategy Consultant (Part-time)
Weio Digital · Chennai, India (Remote)
  • Driving product strategy for a three-product SaaS portfolio spanning manufacturing ERP, school management and B2C CRM platforms
  • Leading the full business analysis cycle: customer requirements gathering, competitive benchmarking, feature definition and developer-ready specifications
  • Authored a 40,000+ line technical specification for the flagship ERP product covering 30+ functional modules
  • Conducted six structured product audit phases, identifying and resolving 78+ issues before pilot launch
March – August 2026
Market Intelligence Analyst
Vaisala France SAS · Saclay, Paris, France
  • Built an AI-powered market intelligence database covering 13 European markets for the WindCube LiDAR commercial team, replacing unreliable third-party data sources
  • Designed automated data collection and validation pipelines using Claude AI, delivering a single source of truth with nearly 1,900 verified projects
  • Ran competitive benchmarking studies and supported commercial strategy development for the European wind energy market
  • Implemented CRM-based email marketing automation in Salesforce, becoming the first team member to introduce automated outreach campaigns
  • Used Apollo.io for B2B prospecting and contact enrichment alongside Salesforce CRM for pipeline management
July 2021 – August 2024
Product Analyst
Hyundai Mobis · Chennai, India
  • Managed product performance analytics across 12 programmes and 4 global regions for one of the world's largest automotive parts manufacturers
  • Built KPI dashboards and competitive benchmarking reports in Power BI and Excel, supporting programme-level decisions on quality, cost and delivery
  • Conducted A/B testing and user acceptance testing to compare product features across versions and competitor benchmarks
  • Coordinated cross-functional data workflows using SAP, PLM, Jira and QMS systems
Portfolio

Selected Projects

Analytical and strategic projects that demonstrate how I approach real business problems. Click any project to explore the full case study.

Competitive Intelligence

European Home Care Market Intelligence

Private-label competitive intelligence study across three European markets, applying pricing sensitivity analysis and brand vulnerability mapping to identify strategic opportunities for category growth.

ExcelRGMFMCGPricing
View Case Study →
Business Intelligence

Retail Sales Analytics Platform

End-to-end analytics system from data modelling through SQL analysis and Power BI dashboards to an automated executive report — demonstrating full analytics lifecycle ownership.

SQLPythonPower BIDAX
View Case Study →
Product Strategy

SaaS Product Portfolio — Weio Digital

Full product lifecycle management for a multi-product SaaS startup, from customer discovery and market research through to a 40,000-line developer specification and structured quality audits.

Product ManagementERPSaaSLinear
View Case Study →
Skills

Tools & Expertise

Analytics & Business Intelligence
Power BI Tableau Excel (Advanced) Power Query DAX KPI Dashboards A/B Testing
Data & Programming
SQL (Advanced) Python Pandas Matplotlib Star Schema / Data Modelling HTML / CSS
CRM & Business Systems
Salesforce CRM Apollo.io SAP PLM Jira QMS Linear Figma
Strategy & Domain Expertise
Market Intelligence Competitive Analysis Pricing Analytics Product Management B2B Sales Enablement Revenue Growth Management FMCG / Consumer Goods SaaS Renewable Energy Automotive AI-Assisted Research Executive Reporting PowerPoint
Education

Academic Background

🎓
2024 – 2026
MBA International Management
IGR-IAE Rennes, Université de Rennes
Rennes, France
Master 2 programme with a focus on international business strategy, cross-cultural management and commercial analytics. Included a six-month market intelligence internship at Vaisala France SAS in the Paris region.
🎓
2016 – 2020
B.E. Electrical & Electronics Engineering
R.M.K Engineering College, Anna University
Chennai, India
Engineering degree that built a strong foundation in analytical thinking, quantitative methods and systematic problem-solving — skills that underpin every data and product role since.
Get in Touch

Let's Connect

I'm actively seeking roles in market intelligence, commercial analytics and product management across Europe. If you're looking for someone who can build your team's intelligence capability from the ground up, I'd welcome the conversation.

chandrasubramanian.m@gmail.com
LinkedIn ↗ GitHub ↗
© 2026 Chandra Subramanian Muruganantham Back to top ↑
Competitive Intelligence · FMCG

European Home Care Market Intelligence

How do you help a commercial team understand where the real pricing opportunities sit across three different European retail markets? This project answers that question. I built a structured competitive intelligence framework for the home care category, analysing private-label and branded products side by side to surface the gaps, overlaps and vulnerabilities that category managers and pricing teams need to act on.

278
Products analysed
3
European retail markets
4
Product categories
31
Brands mapped to parent companies

The Challenge

Private-label products are gaining share across European home care categories, but the competitive dynamics differ significantly between markets. Retailers like Jumbo (Netherlands), Colruyt (Belgium) and Carrefour (France) each operate with different pricing philosophies, assortment strategies and competitive pressures. A one-size-fits-all pricing approach leaves money on the table.

My Approach

I designed a five-dimensional analytical framework covering four product categories: laundry detergent (liquid, capsules and powder) and dishwasher tablets.

  • Price architecture mapping — Structured the entire product range by price tier (economy, mid-range, premium) to reveal where private-label brands sit relative to national brands in each market
  • Pricing sensitivity modelling — Calculated price-per-unit and price-per-wash metrics to identify which products offer genuine value and which rely on pack-size illusion
  • Brand vulnerability analysis — Mapped 31 brands to their parent companies (Henkel, P&G, Unilever and others) to assess which branded positions are most exposed to private-label substitution
  • Cross-market comparison — Benchmarked assortment depth, pricing spread and private-label share across all three retailers to surface market-specific opportunities
  • Revenue growth management lens — Framed all findings through an RGM perspective, connecting pricing gaps to actionable commercial recommendations

What This Demonstrates

This project shows how I approach competitive intelligence in a structured, repeatable way. Rather than simply collecting prices, I built a framework that a category team or pricing analyst could maintain and extend quarter after quarter. The analysis is designed to support real commercial decisions: where to invest in promotion, where private-label is under-priced relative to national brands and where there is headroom for premium positioning.

Relevant For

Category management, pricing analytics, revenue growth management, commercial strategy, market intelligence and competitive analysis roles — particularly within FMCG, retail and consumer goods.

ExcelCompetitive IntelligenceRevenue Growth ManagementPricing AnalyticsFMCGPrivate LabelCategory Analysis
View on GitHub ↗
Business Intelligence · Analytics

Retail Sales Analytics Platform

Most analysts can run a query or build a dashboard. What separates a strong analyst from the rest is the ability to own the entire chain: from how the data is structured, through the analysis logic, all the way to a recommendation a decision-maker can act on. This project demonstrates that full-cycle capability.

$2.47M
Revenue in dataset
43,900
Transactions analysed
32.5%
Gross margin
4
Regions benchmarked

What I Built

  • Star schema data model — Designed a five-table warehouse (one fact table, four dimensions: product, store, customer and date) that mirrors how enterprise analytics teams structure their data
  • Advanced SQL analysis — Wrote six analytical queries using window functions (LAG, RANK, PARTITION BY) to surface month-on-month growth trends, regional performance rankings and customer segment behaviour
  • Interactive Power BI dashboard — Built a KPI dashboard with DAX measures tracking revenue, average order value, gross margin and regional performance
  • Automated executive report — Created a Python pipeline using pandas, matplotlib and reportlab to generate a Deloitte-style PDF analytics report with charts and strategic recommendations

Why It Matters

This project is not about the dataset — it is about demonstrating that I can go from raw data all the way to a business recommendation a hiring manager would read. The star schema shows I understand data architecture. The SQL queries show I can work with real analytical complexity. The Power BI dashboard shows I can communicate KPIs visually. And the automated PDF report shows I can deliver stakeholder-ready outputs without manual formatting every time.

Relevant For

Data analyst, BI analyst, commercial analyst, business analyst and category analyst roles where demonstrating hands-on SQL, dashboard and reporting capability is essential.

SQLPower BIPythonStar SchemaData ModellingDAXExecutive Reportingpandasmatplotlib
View on GitHub ↗
Product Strategy · SaaS

SaaS Product Portfolio — Weio Digital

What does it take to bring a SaaS product from zero to pilot? This ongoing engagement with Weio Digital has given me end-to-end ownership of the product strategy and business analysis cycle for an early-stage software company building three products simultaneously.

3
SaaS products managed
40,000+
Lines of technical specification
30+
Functional modules defined
78+
Issues resolved in audit

The Products

  • FlowTrack — A manufacturing ERP covering the full production lifecycle: inventory, purchase orders, sales, invoicing, production planning, quality control and HR. The most advanced of the three, with 30+ modules, two pilot customers and an April 2027 launch target
  • School ERP — Attendance, timetable, fee management and parent communication for K-12 institutions
  • Throughline — A B2C CRM and marketing automation platform for small and mid-sized businesses

My Role

I own the full business analysis cycle across all three products:

  • Customer discovery — Conducting user interviews, mapping pain points and translating business requirements into product features
  • Market research and competitive benchmarking — Evaluating competing SaaS platforms to inform feature prioritisation and pricing
  • Specification authoring — Writing detailed, developer-ready specifications that bridge the gap between business requirements and engineering implementation
  • Quality auditing — Running structured audit phases to identify functional gaps, UI inconsistencies and workflow issues before pilot launch
  • Roadmap coordination — Prioritising features, managing the backlog in Linear and coordinating across development, design and business stakeholders

What This Demonstrates

This engagement shows that I can operate as the sole product and strategy resource in an early-stage company, managing ambiguity, wearing multiple hats and delivering production-grade outputs. The 40,000-line specification alone demonstrates the rigour I bring to translating business needs into buildable requirements.

Relevant For

Product management, business analysis, product strategy and ERP consulting roles — particularly at SaaS companies, startups and organisations undergoing digital transformation.

Product ManagementBusiness AnalysisSaaSERPCRMLinearFigmaAgileSpecification Writing