PURPOSE:

The analyst will play a key technical role in analysing large data sets to mine business critical insights, build reports & dashboards, and working with team members & business stakeholders to deliver outstanding business outcomes for problems across VS&Co;:

- You would be building reports and dashboards on any of the below areas:

1. Customer analytics,
2. Marketing analytics,
3. Product analytics,
4. Loyalty analytics,
5. Enterprise analytics.

- You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision-making, and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile workplace with varied responsibilities.

- You will work directly on analytics problems that have the most impact on VS&Co;'s customer file growth and insights driving customer growth.

RESPONSIBILITIES:

An Analyst will work very closely with business stakeholders and lead analysts; he/she would be responsible for building reports and dashboards for our business problems across e-commerce, stores, customer, marketing, and media. He/she would play a critical role in answering business critical questions that are time-sensitive and deliver insights that drive strategy and planning decisions.

EDUCATION:

Bachelors/ Masters degree in Computer Science, Mathematics, Statistics, Any Engineering Degree

SKILLS/EXPERIENCE:

- Experience: 1-3yrs of relevant experience in Analytics, preferably in Retail




- Critical Thinking - Ability to frame problems and break them down into components.
- Data Interpretation - Drawing actionable insights from data; Understanding trends, anomalies, and business implications.
- Business Acumen - Domain knowledge (e.g., marketing, customer, finance); Translating business questions into data queries.
- Storytelling with Data - Presenting data in a compelling, non-technical manner; Making data-driven recommendations.
- Collaboration - Work closely with the Engineering team to take analytics reports/dashboards to production.
- Communication - Communicate progress/findings to relevant stakeholders.
- Learning - Keep updated with emerging technologies in analytics space.
- Collaboration - Working with cross-functional teams (marketing, IT, product, etc.).
- Time Management - Prioritizing tasks in fast-paced, deadline-driven environments

MANDATORY SKILLS:

- Data Analysis & Manipulation: Microsoft Excel (VLOOKUP, pivot tables, Power Query); SQL (joins, subqueries, window functions)
- Programming Languages: Python, SQL
- Data Visualization: Tableau / Any other tools applicable
- Database Management: SQL databases, NoSQL basics (MongoDB, if relevant)
- Statistical Knowledge: Descriptive & inferential statistics, Hypothesis testing, Correlation and regression analysis
- Data Cleaning & Preparation: Handling missing values, outliers, duplicates, Data normalization and transformation
- ETL (Extract, Transform, Load) Processes: Understanding of ETL pipelines

ADDITIONAL QUALIFICATIONS:

- Big Data Tools (optional, but useful): Hadoop, Spark (if working with large-scale data)
- Cloud Platforms (optional but growing in demand): AWS (Athena, Redshift), Google BigQuery, Azure Data Services

📌 Analyst (Bengaluru)
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