Pradeep N

Pradeep N Email and Phone Number

Data Analyst | Skilled in Business Reporting, Project Management, and Data Analysis @ Amazon
seattle, washington, united states
Pradeep N's Location
Chennai, Tamil Nadu, India, India
About Pradeep N

Results-oriented Data Analyst with 7+ years of experience in e-commerce, seeking to leverage a strong foundation in business analysis, data science, and industry expertise to drive impactful business growth. Proficient in data analysis tools and languages, including Python, SQL, Excel, Tableau.Demonstrated ability to transform raw data into actionable insights that have increased revenue by 25% and enhanced user retention by 35%. Successfully led data-driven initiatives such as competitor benchmarking, CRM optimization, and data-driven marketing campaigns. With strong project management, stakeholder management, and communication skills, I focus on developing strategies to deliver innovative solutions and achieve organizational goals.Seeking a challenging role as a Data Analyst where I can apply my skills and knowledge to drive positive business outcomes. I am confident in my ability to deliver value through my data-driven insights and innovative problem-solving.

Pradeep N's Current Company Details
Amazon

Amazon

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Data Analyst | Skilled in Business Reporting, Project Management, and Data Analysis
seattle, washington, united states
Website:
amazon.com
Employees:
500669
Pradeep N Work Experience Details
  • Amazon
    Subject Matter Expert
    Amazon Oct 2022 - Present
    India
    • Proficient in creating comprehensive documentation tailored to data analysis deliverables, leveraging analytical insights to ensure alignment with business objectives and use cases.• Optimized customer signals monitoring by developing analytical solutions, followed by data cleaning and preprocessing with Python libraries. Identified key patterns and trends, leading to a 25% increase in conversion rates and 30% improvement in refinement coverage for Amazon US… Show more • Proficient in creating comprehensive documentation tailored to data analysis deliverables, leveraging analytical insights to ensure alignment with business objectives and use cases.• Optimized customer signals monitoring by developing analytical solutions, followed by data cleaning and preprocessing with Python libraries. Identified key patterns and trends, leading to a 25% increase in conversion rates and 30% improvement in refinement coverage for Amazon US Hardlines.• Analysed large datasets, developing efficient workflows for data extraction, transformation, and loading (ETL). Utilizing this data, delivered a comprehensive AWS Quicksight dashboard providing clear visualizations of key business metrics, team KPI metrics, and WBR metrics.• Developed and maintained 3 KPIs to track performance. Identified 12 critical gaps and implemented targeted interventions, resulting in a 43% improvement in product variations and 28% reduction in returns.• Streamlined operations to improve efficiency for new products (less than 6 months) in catalogue by analysing product performance metrics, such as inventory, returns, customer reviews. This resulted in 53K catalogue completeness and 120% increase in overall productivity.Highlights: 1. Successfully set up complex bundle-type Product variations for "Deal of the Day" promotions, resolving non-relevant ASIN issues and ensuring accurate customer review flow. Collaborated with Vendor management team to enhance product availability and sales.2. Led the EU HIP backfill program to enhance efficiency from 68.75% to 86.24% and conversion from 65.52% to 84.7% by Q2’22, using tech platforms for attribute extraction and a custom Python app to eliminate product misclassification.3. Onboarded the FMEA process for program scoping new products in US marketplace, identifying and categorizing 8 risks. Revamped SOPs and enhanced automation, resulting in a 18% increase in productivity and conversion metrics rising from 82% to 95%. Show less
  • Amazon
    Senior Catalog Specialist
    Amazon Apr 2020 - Sep 2022
    Chennai Area, India
    • A comprehensive understanding of the industry landscape, trends, and best practices, With strong in-depth expertise of industry-specific terminology, regulations, and emerging technologies.• Conducted time-motion studies to optimize team productivity. Analysed daily work activities to define achievable targets and identify process bottlenecks. This enabled substantiated reporting on deliverables that aligned with program goals.• Prepared high-level business presentations which… Show more • A comprehensive understanding of the industry landscape, trends, and best practices, With strong in-depth expertise of industry-specific terminology, regulations, and emerging technologies.• Conducted time-motion studies to optimize team productivity. Analysed daily work activities to define achievable targets and identify process bottlenecks. This enabled substantiated reporting on deliverables that aligned with program goals.• Prepared high-level business presentations which helped us to take business decisions rapidly to adapt faced-paced environment.• Process On-boarding - designing go to - desired state of process for implementation with specific foci viz. Optimization, Standardization, Automation etc• Managed root cause analysis using CAPA & COE to document errors, and fixed process gaps to reduce manual errors.• Proactively participated in new category launches and seasonal campaigns to enhance the customer experience and drive sales through strategic catalogue initiatives.Highlights: 1. Handled time-sensitive project to resolve a 120K SKU backlog for the UK-Hardlines team, completing with 98.5% quality, improving catalogue accuracy and meeting stakeholder expectations. Spearheaded the effort by identifying and eliminating 24K non-workable SKUs and utilizing a macro-based solution for efficient processing.2. Implemented data-driven automation to enhance team productivity. Developed Python-based automation solutions to eliminate manual tasks, saving 0.92 headcount. Streamlined ETL, normalization, and presentation processes, resulting in significant time and cost savings. Show less
  • Amazon
    Catalog Assistant
    Amazon Feb 2017 - Mar 2020
    India
    • Worked in new product setup, updating existing listings, and conducting regular quality checks to ensure data accuracy and consistency. Utilized catalog management tools and systems to streamline processes and improve workflow efficiency.• Strong attention to detail and proficiency in data entry, which includes specifications, pricing, and images into catalog databases. The duties involved categorize products using taxonomy and classification systems to enhance searchability and… Show more • Worked in new product setup, updating existing listings, and conducting regular quality checks to ensure data accuracy and consistency. Utilized catalog management tools and systems to streamline processes and improve workflow efficiency.• Strong attention to detail and proficiency in data entry, which includes specifications, pricing, and images into catalog databases. The duties involved categorize products using taxonomy and classification systems to enhance searchability and navigation.• Handled multiple tasks and prioritized effectively. I bring a solution-oriented mindset to overcome challenges and adapt to changing catalog requirements.• Proficiency with e-commerce platforms and online marketplace systems allows me to optimize product listings for maximum visibility and customer engagement. Show less

Pradeep N Education Details

Frequently Asked Questions about Pradeep N

What company does Pradeep N work for?

Pradeep N works for Amazon

What is Pradeep N's role at the current company?

Pradeep N's current role is Data Analyst | Skilled in Business Reporting, Project Management, and Data Analysis.

What schools did Pradeep N attend?

Pradeep N attended The University Of Texas At Austin, Great Learning, Srm Ist Chennai, Srv Matriculation Higher Secondary School Samayapuram.

Who are Pradeep N's colleagues?

Pradeep N's colleagues are Rohullah Zadran, Filiz Ekiz, Sumit Yadav, Milaine Santos, Daniela Arriaga, Dodo Kaka, Emmanuel Sellars.

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