MARYAM NADEEM SIDDIQUI

Brand Manager | FMCG Marketing & Data Analytics Specialist

Based in: LahoreCurrently: Marketing MTO, Hayat KimyaExperience: 2 years

Marketing professional with a track record of driving growth for major brands like Molfix and PepsiCo. Expert in blending brand strategy with deep data analysis (SQL, Python, Power BI) to optimize distribution, penetrate competitor markets, and link macro-economic trends to retail performance.

Experience

Marketing MTO

Hayat KimyaworkJun 2026 – Present

Summary

Managed brand strategy for Molfix, driving campaign development, promotional planning, and category growth. Analysed sales and distribution data to identify performance gaps and shape monthly commercial priorities. Led Brand Ambassador program in hospital settings, to strengthen brand presence for Molfix and Molfix premium. Planned and executed consumer-facing brand activations, coordinating across internal teams to ensure alignment with brand objectives and timelines

Results

Achieved a 30% decrease in stock shortages and distribution issues.
Successfully penetrated competitor market share by 25% through data-driven commercial priorities.

MolfixMolfix premiumSales Data AnalysisDistribution Data AnalysisMicrosoft Excel

Marketing & Sales, Associate

BakedworkJul 2025 – May 2026

Summary

Managed onboarding, catalog setup, and pricing for 6+ subbrands, driving a 20% increase in cross-brand sales. Acted as the main liaison for partner brands, aligning promotions and inventory to cut stock-outs by 15%. Executed cross-brand marketing initiatives, strengthening brand fit and increasing repeat purchases by 18%. Designed brand-specific storytelling for vendor partners across socials and stores, increasing engagement by 20%.

Results

Cut stock-outs by 15%.

Catalog setupPricing strategyInventory managementSocial media storytelling

Sales, Intern

PepsicointernshipJul 2024 – Sep 2024

increase in targeted product sales.: 12%increase in targeted product sales.

Summary

Analyzed sales data from 111 outlets, optimizing stock distribution causing 12% increase in targeted product sales. Recommended product mix adjustments, reducing stock shortages by 18% and boosting impulse purchases. Assessed competitive positioning, proposed strategies that grew market share by 7%. Developed impulse placement tactics, increasing sales conversion by 15% and customer engagement by 10%. Identified retailer challenges and recommended solutions that raised profitability by 20% and strengthened CRM efforts.

Results

Grew market share by 7%

Sales Data AnalysisCRMImpulse placement tacticsCompetitive positioning

Skills

Technical

Microsoft Excel

Google Suite

Power BI

Data Analysis

Consumer Analytics

SQL

Brand Management

Python

Canva

Slack

Modelling

Dashboard Development

Hootsuite

Stata

Projects

Retail Sales & Economic Impact Analysis

academic

Analyzed datasets from multiple retail brands to identify correlations between product sales performance and US economic trends.

SQLPythonnumpy

Education

Bachelors in Science

Lahore School of EconomicsMajor Economics Minor Maths & Data AnalyticsGPA 3.62026

Recognition

Certifications

SQL (Certified)

Not Specified

Power BI (Certified)

Not Specified

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MARYAM's twin is AI, it can make mistakes.

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