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 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 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 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, we’ve 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, we’d 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.