
11 - 50 employees
🏠Manufacturing
đź›’ Retail
đź‘— Fashion
Manufacturing • Retail • Fashion
SportsMan is a sportswear manufacturing company located in Dhaka, Bangladesh. They specialize in creating customizable apparel such as jerseys, trousers, and shorts. SportsMan offers a premium design tool for customers to easily design their own t-shirts with no minimum order requirement, featuring a vast library of clipart and templates. They provide free worldwide shipping and emphasize high-quality standards in their products.
🔥 8 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
đźź Senior
đź”´ Lead
📊 Data Scientist
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11 - 50 employees
🏠Manufacturing
đź›’ Retail
đź‘— Fashion
Manufacturing • Retail • Fashion
SportsMan is a sportswear manufacturing company located in Dhaka, Bangladesh. They specialize in creating customizable apparel such as jerseys, trousers, and shorts. SportsMan offers a premium design tool for customers to easily design their own t-shirts with no minimum order requirement, featuring a vast library of clipart and templates. They provide free worldwide shipping and emphasize high-quality standards in their products.
• Lead the Business Intelligence Team • Lead, mentor, and develop the Business Intelligence and Data Analytics team. • Establish team priorities, objectives, and performance expectations. • Foster a culture of collaboration, accountability, continuous improvement, and innovation. • Manage project priorities, resource allocation, and team workloads across multiple initiatives. • Coach team members while promoting professional development and technical excellence. • Own the development, maintenance, and continuous improvement of enterprise dashboards, scorecards, and reports. • Deliver accurate, timely, and actionable reporting across all business functions. • Standardize business metrics, reporting methodologies, and KPI definitions across the organization. • Design executive dashboards that provide visibility into operational and financial performance. • Partner with business leaders to understand reporting requirements and identify meaningful business insights. • Develop and implement enterprise-wide data governance policies, standards, and best practices. • Ensure data quality, consistency, accuracy, and integrity across all business systems. • Establish processes for data validation, cleansing, monitoring, and issue resolution. • Define data ownership and stewardship responsibilities across departments. • Promote data governance standards that support regulatory compliance and business objectives. • Analyze business performance to identify trends, risks, and growth opportunities. • Develop actionable recommendations that improve operational efficiency and business performance. • Support executive decision-making through forecasting, budgeting, sales analytics, inventory planning, customer insights, and operational reporting. • Build KPI frameworks that align with strategic business goals. • Perform ad hoc analysis to support business initiatives, product launches, and executive requests. • Collaborate with Engineering, Product Management, DevOps, Operations, and IT teams to support enterprise data architecture initiatives. • Oversee data integration across ERP, CRM, eCommerce, Customer Support, Marketing Automation, and Product platforms. • Support enterprise data warehouse and cloud analytics environments. • Identify opportunities to automate data collection, reporting, and business intelligence processes. • Enable AI & Advanced Analytics. • Support Artificial Intelligence and Machine Learning initiatives through strong data governance and data preparation practices. • Partner with Product and Engineering teams to provide clean, reliable datasets for AI-powered products and business initiatives. • Help establish best practices for data management that support predictive analytics and emerging technologies.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or a related field. • 7+ years of experience in Business Intelligence, Data Analytics, Data Management, or a related discipline. • 2+ years of leadership experience managing Business Intelligence, Data Analytics, or Data Management teams. • Advanced SQL and database management skills. • Experience with Business Intelligence platforms such as Power BI, Tableau, Looker, or similar visualization tools. • Strong understanding of: • Data warehousing • ETL processes • Data modeling • Reporting frameworks • KPI development • Experience developing executive dashboards and enterprise reporting solutions. • Excellent analytical, organizational, and problem-solving skills. • Strong communication and stakeholder management abilities with the ability to translate technical concepts into business insights. • Ability to manage multiple priorities in a fast-paced, collaborative environment.
• Competitive salary • Flexible working hours • Professional development opportunities
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