As an Associate Data Analyst at The Souled Store, you will assist in the collection, processing, and analysis of data to help drive business insights. You will be responsible for data collection and preparation, data analysis, reporting and communication, supply chain and operations improvement, and tool proficiency.
The Souled Store is a homegrown youth casual-wear brand founded in 2013, and today it is one of India's largest online merchandising platforms with licensing partnerships including Disney, Warner Bros., WWE, IPL and Viacom18 among others. The company creates products inspired by pop culture superheroes, movies, TV shows, and cartoons, while also staying deeply rooted in evolving youth fashion and lifestyle trends.
Why required: Excel is required for data analysis, reporting, and visualization. As a Data Analyst, you will need to create dashboards, reports, and charts to present actionable insights to business stakeholders.
How recruiters evaluate: The recruiter will evaluate your proficiency in Excel, including your ability to create pivot tables, charts, and formulas.
Why required: Power BI is required for data visualization and reporting. As a Data Analyst, you will need to create interactive dashboards and reports to present insights to business stakeholders.
How recruiters evaluate: The recruiter will evaluate your proficiency in Power BI, including your ability to create reports, dashboards, and visualizations.
Why required: SQL is required for data analysis and querying. As a Data Analyst, you will need to write SQL queries to extract data from databases and perform analysis.
How recruiters evaluate: The recruiter will evaluate your proficiency in SQL, including your ability to write queries, create tables, and perform data modeling.
Why required: Python is required for data analysis and machine learning. As a Data Analyst, you will need to use Python libraries such as Pandas, NumPy, and scikit-learn to perform data analysis and build machine learning models.
How recruiters evaluate: The recruiter will evaluate your proficiency in Python, including your ability to write code, create data visualizations, and build machine learning models.
Why required: Machine learning is required for building predictive models and analyzing complex data. As a Data Analyst, you will need to use machine learning algorithms to identify trends and patterns in data.
How recruiters evaluate: The recruiter will evaluate your proficiency in machine learning, including your ability to build models, evaluate performance, and deploy models.
Why required: AI is required for building intelligent systems and analyzing complex data. As a Data Analyst, you will need to use AI algorithms to identify trends and patterns in data.
How recruiters evaluate: The recruiter will evaluate your proficiency in AI, including your ability to build models, evaluate performance, and deploy models.
Freshers with a degree in Computer Science, Statistics, Mathematics, Data Science, or related field can apply for this role.
Experienced professionals with 0-2 years of experience in data analysis or related fields can apply for this role.
Graduates with a degree in Computer Science, Statistics, Mathematics, Data Science, or related field can apply for this role.
B.Tech graduates with a degree in Computer Science, Information Technology, or related field can apply for this role.
MCA graduates with a degree in Computer Science, Information Technology, or related field can apply for this role.
Diploma holders with a degree in Computer Science, Information Technology, or related field can apply for this role.
The average salary for a Data Analyst in the e-commerce industry in India is ₹6-8 lakhs per annum.
Freshers can expect a salary range of ₹4-6 lakhs per annum.
Experienced professionals can expect a salary range of ₹8-12 lakhs per annum.
The salary for this role can grow up to ₹15 lakhs per annum with experience and performance.
With experience and performance, you can move to a senior data analyst role and lead data analysis projects.
With experience and skills in machine learning and AI, you can move to a data scientist role and build predictive models.
With experience and skills in business acumen, you can move to a business analyst role and drive business decisions.
This course will help you build your skills in data analysis with Python.
This course will help you build your skills in machine learning with Python.
This certification will help you build your skills in SQL and demonstrate your expertise.
To succeed in this role, focus on building your technical skills in data analysis, SQL, and Python. Also, develop your problem-solving skills and communication skills to effectively present insights to business stakeholders.
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About the job
Designation - Associate - Data Analyst
Location - Mumbai, Lower Parel
Work Overview :
The Associate Data Analyst will assist in the collection, processing, and analysis of data to help drive business insights. This role requires an analytical mindset, proficiency in data analysis tools, and the ability to present actionable insights to business stakeholders.
Key Responsibilities:
Data Collection & Preparation - Gather, clean, and preprocess large datasets from multiple sources, Ensure data accuracy and consistency and Collaborate with functional teams, tech teams to improve data pipelines.
Data Analysis - Identify trends and patterns through exploratory data analysis, Apply statistical methods to derive insights, Build and maintain dashboards and reports.
Reporting & Communication - Present actionable insights to support business decisions, Work with teams across sourcing, category and operations, Simplify complex data findings for non-technical stakeholders.
Supply chain and operations improvement - Conduct data-driven research and analysis to, improve process efficiency of sourcing activities, Conduct partner evaluations across performance KPIs and suggest corrective action.
Tool Proficiency - Very strong in Excel, Power BI and experience in SQL, Python etc., Automate tasks and build visual reports.
Continuous Improvement - Stay updated with data trends and tools, Improve processes in data handling and reporting.
Qualifications:
Educational Background: Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
Experience: 0-2 years of experience in data analysis or related fields (internships or academic projects can be considered).
Ability to clearly communicate complex data insights to stakeholders.
Strong problem-solving abilities with attention to detail.
Knowledge of machine learning or AI concepts can be advantageous.
About Us:
The Souled Store is a homegrown youth casual-wear brand founded in 2013. Today, we are one of India’s largest online merchandising platforms, with licensing partnerships including Disney, Warner Bros., WWE, IPL and Viacom18 among others. We create products inspired by pop culture superheroes, movies, TV shows, and cartoons—while also staying deeply rooted in evolving youth fashion and lifestyle trends.
Alongside our core men’s and women’s apparel categories, we are actively expanding into new product lines such as activewear, Supima products, personal care (perfumes), footwear and backpacks. While we began as a digital-first brand, we have steadily expanded into offline retail and currently operate 80+ stores across India, with further pan-India expansion underway.
The Souled Store was built on a simple belief: people do their best work when they love what they do. We believe work should be driven by ownership, curiosity, and leadership at every level—not just by titles. If you resonate with our culture and want to be part of an aggressively scaling, consumer-first brand, we’d love to have you join us.
