Position Overview We are seeking a highly analytical and business-savvy Business Analyst to support our US retailer-focused analytics initiatives. The ideal candidate will have hands-on experience with point-of-sale (POS) data, retailer performance metrics, and assortment analysis, as well as expertise in tools like SQL and Power BI (PBI). This role requires someone who can interpret complex data sets, identify trends, and provide actionable recommendations to drive sales growth, optimize assortments, and uncover opportunities within the US retail market. Key Responsibilities - Analyze US retailer POS data, sales trends, and inventory metrics to identify opportunities for growth and efficiency. - Develop and maintain interactive dashboards and reports using Power BI, SQL, and other BI tools. - Provide insights on assortment planning, product performance, and category expansion opportunities. - Collaborate with cross-functional teams to understand US retailer processes and requirements. - Support retail account teams with data-driven recommendations for product placements, promotional strategies, and performance optimization. - Conduct root cause analysis for underperforming products and suggest actionable improvements. - Build, automate, and maintain data pipelines for consistent and reliable reporting. - Monitor retailer KPIs and deliver periodic business performance reviews to stakeholders. - Translate complex data insights into clear, concise business recommendations for senior management. Qualifications & Skills - Bachelor's degree in Business, Data Analytics, Economics, or a related field (Master's preferred). - 3+ years of experience in business analytics, preferably with US retailer data (Walmart, Target, Amazon, etc.). - Strong SQL skills for data extraction and manipulation. - Proficiency in Power BI and other visualization/reporting tools (e.g., Tableau, Excel advanced functions). - Familiarity with US retail processes, metrics, and POS systems. - Experience with data warehousing, ETL pipelines, or other data tools is a plus. - Excellent analytical, problem-solving, and storytelling skills with data. - Ability to manage multiple projects and work independently with minimal supervision. - Strong communication skills for cross-cultural and cross-functional collaboration. Preferred Attributes - Prior experience working with or supporting US-based retailer accounts. - Understanding of assortment planning, pricing, and promotional strategies in retail. - Knowledge of cloud-based data tools (Azure, Snowflake, etc.) is a plus
Position Overview We are seeking a Business Analyst with a strong foundation in business acumen, finance, and data analytics to support our US operations. This role is ideal for someone who combines technical expertise in SQL, Power BI, and data tools with the ability to interpret business trends and deliver actionable insights. The successful candidate will possess excellent project management and communication skills to bridge the gap between analytics and business strategy. Key Responsibilities - Partner with US-based teams to analyze operational data, financial metrics, and performance KPIs. - Develop and maintain dashboards, scorecards, and automated reports using Power BI and other data visualization tools. - Provide strategic insights and recommendations to improve operational efficiency and business performance. - Lead and support data-driven projects from requirements gathering to final delivery. - Perform ad-hoc analyses to address operational and strategic business questions. - Ensure data integrity and accuracy while building and maintaining datasets and analytical models. - Collaborate with business and technology teams to define metrics and reporting standards. - Translate complex analytical findings into clear, actionable presentations for leadership teams. - Manage timelines and deliverables for multiple cross-functional projects, ensuring alignment with business objectives. Qualifications & Skills - Graduate degree in business or finance (MBA or Master's in Finance preferred). - 2-4 years of experience in business analysis, data analytics, or operations analytics. - Strong SQL skills for querying and data manipulation. - Advanced proficiency in Power BI and other data visualization/reporting tools (e.g., Tableau, Excel). - Strong understanding of business strategy and financial principles. - Experience with project management methodologies and tools. - Excellent problem-solving, analytical thinking, and critical reasoning abilities. - Exceptional written and verbal communication skills, with the ability to present to leadership. - Familiarity with US operational processes or exposure to global teams is a plus. Preferred Attributes - Demonstrated ability to connect data insights to business strategy and ROI. - Knowledge of cloud-based data platforms (e.g., Azure, Snowflake) is an advantage. - A proactive mindset with a "consultative" approach to solving business challenges. - Strong time management and ability to work across multiple time zones.
Production Analyst 📍 Location: Mumbai We’re looking for a Production Analyst to turn data into action! If you enjoy digging into numbers, spotting trends, and making processes faster, smarter, and more cost-efficient, this role is for you. What you’ll do: Track order status, manage T&A calendars, and resolve issues proactively. Review production artworks and manage UPC ticket approvals. Collaborate with product, supply chain, and quality teams to ensure smooth execution. Coordinate with forwarders to secure timely shipment bookings. Maintain accurate shipping documents for warehousing & accounting. Identify bottlenecks, analyze root causes, and recommend improvements. What we’re looking for: Prior experience in retail/manufacturing merchandising is a must. 5 years’ experience in production or operations analysis. Strong Excel & data analysis skills (SQL/BI tools a plus). Excellent communication, negotiation & problem-solving ability. Highly detail-oriented, adaptable, and comfortable in a fast-paced environment. Flexibility to work across multiple time zones.