☝ Fresh Prints, a rapidly growing custom apparel startup, is seeking a dedicated and proactive Data Analyst to join our dynamic team. As a Data Analyst, you will play a pivotal role in transforming data into actionable insights, driving strategic decisions across various business functions. This position offers a unique opportunity to contribute to a company that values innovation, collaboration, and continuous growth.
About Fresh Prints
Founded in 2009, Fresh Prints has established itself as a leader in the custom apparel industry, specializing in creating trendy merchandise for college students and organizations across the United States. Our mission is to empower young entrepreneurs by providing them with the resources and support needed to run successful custom apparel businesses on their campuses. With a team of over 400 members spanning multiple countries, we pride ourselves on our inclusive culture and commitment to excellence.
Role Overview
As a Data Analyst at Fresh Prints, you will collaborate closely with cross-functional teams to uncover insights that drive business performance. Your analytical expertise will be instrumental in shaping strategies that enhance operational efficiency, develop new revenue channels, and elevate account value. This role is ideal for individuals who are passionate about data, possess strong problem-solving skills, and are eager to make a significant impact in a fast-paced environment.
Key Responsibilities
Data Analysis & Reporting: Collect, clean, and analyze data from various sources to ensure accuracy and consistency. Develop and maintain dashboards and reports to support business intelligence needs.
Cross-Functional Collaboration: Work closely with teams across the organization, including Finance, Tech, Marketing, and Operations, to understand business objectives and provide data-driven recommendations.
Statistical Analysis: Conduct statistical analyses to identify trends, correlations, and anomalies in data, providing actionable insights to stakeholders.
Process Optimization: Identify opportunities to streamline data collection and analysis processes, enhancing efficiency and scalability.
Data Governance: Ensure data governance and compliance with company policies and industry standards.
Required Skills & Qualifications
Educational Background: Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
Technical Proficiency: Strong proficiency in SQL for data extraction and manipulation. Hands-on experience with data visualization tools such as ThoughtSpot, Tableau, or other BI tools. Proficiency in Python or R for statistical analysis and automation.
Analytical Skills: Solid understanding of data modeling, data warehousing, and database management. Ability to connect the dots between data and business value.
Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex data insights into actionable business strategies.
Personal Attributes
Proactive Mindset: You take initiative and believe it's on you to ensure success in any task you undertake.
Challenge-Oriented: You thrive in solving problems and seek roles that push you out of your comfort zone.
Goal-Oriented: You are ambitious, with a clear vision of your personal and professional growth.
Adaptable: You are open to change and inspired by the endless ways in which processes can be improved.
Calm Under Pressure: You maintain composure and productivity, even when facing challenges.
Compensation & Benefits
Competitive Salary: Commensurate with experience and market standards.
Health Insurance: Comprehensive coverage to ensure your well-being.
Professional Development: Opportunities for continuous learning and growth within the company.
Inclusive Culture: Be part of a diverse team that values collaboration and innovation.
Working Hours
- Schedule: Monday to Friday, 2:00 PM IST to 11:00 PM IST.
Location
- Remote Work: This position is based in India and offers the flexibility of working from home. For candidates in Hyderabad, an office space is available, though attendance is optional.