Data Analyst - MIS

Designation - Data Analyst - MIS

Location - Lower Parel, Mumbai

About Us

The Souled Store is a homegrown youth casual-wear brand founded in 2013. Today, we are one of

Indias 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 cartoonswhile also

staying deeply rooted in evolving youth fashion and lifestyle trends. Alongside our core mens and

womens 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 70 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. Over the years, weve built a team of like-minded individuals who work smart, take

accountability, and grow with the business.

If you resonate with our culture and want to be part of an aggressively scaling, consumer-first

brand, wed love to have you join us.

Role Summary

We are looking for a highly analytical and detail-oriented MIS Analyst to support business

reporting, data management, and decision-making across various functions including Sourcing,

Supply Chain, Operations, Category Management, and Finance.

The ideal candidate should possess advanced expertise in Microsoft Excel and Google Sheets,

have strong experience in MIS reporting and dashboard creation, and be comfortable handling

large datasets to generate meaningful business insights.

This role requires a hands-on professional who can independently manage reporting

requirements, automate processes, and provide actionable insights to stakeholders.

Roles & Responsibilities

MIS Reporting & Data Management

Create, maintain, and automate Daily, Weekly, and Monthly MIS reports for business

stakeholders.

Consolidate and manage large datasets from multiple sources while ensuring data

accuracy and consistency.

Perform regular data validation, reconciliation, and quality checks.

Develop standardized reporting formats and reporting frameworks.

Dashboard Creation & Reporting Automation

Design and maintain dynamic dashboards using Excel and Google Sheets.

Develop automated reporting solutions to reduce manual effort and improve efficiency.

Build KPI trackers, performance scorecards, and management dashboards.

Create executive-level reports for business reviews and decision-making.

Business Analysis & Insights

Analyze operational, sourcing, inventory, supply chain, and business performance data.

Identify trends, gaps, and opportunities through data-driven analysis.

Generate actionable recommendations to improve business and operational performance .

Track key business metrics and ensure timely reporting of performance indicators.

Process Improvement

Identify opportunities to improve reporting processes and data management practices.

Drive automation initiatives using advanced spreadsheet functionalities.

Improve reporting turnaround time and reduce dependency on manual interventions.

Stakeholder Management

Collaborate with cross-functional teams including Sourcing, Operations, Planning,

Category Management, Finance, and Leadership teams.

Translate business requirements into meaningful reports and dashboards.

Present findings and insights in a simple, structured, and actionable manner.

Required Skills

Advanced Excel & Google Sheets Expertise

Strong hands-on experience with:

Pivot Tables

XLOOKUP

VLOOKUP

INDEX-MATCH

SUMIFS / COUNTIFS

IF, Nested IF, IFS

Conditional Formatting

Data Validation

Text Functions

Logical Functions

Power Query

QUERY

IMPORTRANGE

ARRAYFORMULA

FILTER

Dashboard Creation

Reporting Automation

Data Cleaning & Transformation

Handling and analyzing large datasets

Analytical Skills

Strong numerical and analytical aptitude.

Excellent problem-solving and logical reasoning abilities.

High attention to detail and accuracy.

Ability to identify patterns, trends, and business insights from data.