Data Manager

Job not on LinkedIn

🕒 July 31

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SportsMan

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏭 Manufacturing

🛒 Retail

👗 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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development opportunities