Nived Manoj

Operations Associate

Bengaluru, Karnataka, India9 mos experience

Key Highlights

Proficient in Python and Power BI for data analysis.
Successfully increased category visibility and CTR by 15%.
Designed data models to analyze key business metrics.

Stackforce AI infers this person is a Business Analyst with expertise in E-commerce and Manufacturing analytics.

Contact

Skills

Core Skills

Data AnalyticsVendor ManagementBusiness IntelligenceData Analysis

Other Skills

Adobe PhotoshopAnalytical SkillsAnalytical TechniquesAttention to DetailBusiness InsightsBusiness ProcessBusiness Process ImprovementBusiness RequirementsCommunicationCritical ThinkingDashboard BuildingData GovernanceData ManipulationData ModelingData Presentation

About

Aspiring Business Analyst with a Master's degree in Business Analytics and Operations. Proficient in Python, PostgreSQL, Tableau, and Power BI, with a strong foundation in data interpretation and BI reporting. Completed multiple academic projects involving data-driven decision-making and dashboard creation. Eager to leverage analytical skills to support business intelligence and operational efficiency.

Experience

9 mos

Total Experience

9 mos

Average Tenure

9 mos

Current Experience

Instamart

Category executive

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India

Supertails

Category operation

Dec 2024 – Jun 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

Utilized the Unbxd platform to strategically pin non-food products and categories, boosting visibility for monetized brands,
resulting in a 25% increase in category page views and a 15% uplift in CTR for priority SKUs.”
Created and analyzed weekly/monthly sales reports for non-food SKUs using Excel tools (LOOKUP, Pivot Tables).
Verified product listings and category placements on the website to ensure consistency and accuracy.
Coordinated with vendors to gather New Product Information (NPI) details and updated project workflows in ClickUp for catalogue team.
Updated product images and verified collection structure on Shopify for non-food items (accessories, toys, grooming, etc.).
Built and maintained DRR (Daily Run Rate) and DOI (Days of Inventory) trackers to proactively monitor sell-through of monetized SKUs and maintain <10 DOI for hero SKUs
Optimized procurement cycles for bread & butter categories, resulting in a 25% reduction in excess stock and improved instock rates across key assortments.
Processed GRNs and generated gate passes for dropship orders through Uniware, ensuring smooth inbound logistics.
Managed end-to-end vendor coordination, including onboarding, purchase order tracking, issue resolution, and performance follow-ups to ensure timely product availability and compliance with SLAs
Built an automated sales reporting system using Python, integrated with Google Sheets API and Google Cloud API for realtime insights.

ExcelGoogle Sheets APIGoogle Cloud APIPythonVendor CoordinationSales Reporting+3

Malabar metals

Business Analyst Trainee

Apr 2024 – Sep 2024 · 5 mos · Palakkad, Kerala, India

Analyze data related to production, quality, and efficiency of battery manufacturing processes.
Designed a Power BI data model to analyse sales by battery type, region, and time.
Defined and calculated key KPIs such as production yield, scrap rate, and on-time delivery.
Helped the team understand insights by building a clean and structured data model.
Used Power Query in Power BI to clean, transform, and prepare data for reporting.
Designed data model using fact and dimension tables following star schema best practices.

Power BIData AnalysisData ModelingPower QueryKPI DefinitionBusiness Intelligence