Remote Data Analyst

Summary

Join a fast-growing eCommerce startup as a Data Expert to coordinate data analytics initiatives across the company.

Requirements

• Technical mindset and (at least) a Bachelor's degree in Technical Science: Applied Mathematics, Computer Science or other related field
• 3+ years of experience as analyst/data science preferably in b2b/b2c marketplaces
• Extensive hands-on experience with warehousing and order processing data analysis and modeling
• Proficient in ETL tools and processes (e.g., SSIS, Informatica, Talend)
• Extensive hands-on experience with SQL and Python for processing and analysis (must)
• Strong knowledge of database management systems, data modeling and data warehousing concepts
• Solid experience in data exchange automation between systems (e.g., ERP, CRM, WMS) via API integrations
• Proven experience in developing dashboards to solve real business problems
• Experience working on data analytics projects that involve multiple stakeholders and complex data sets
• Product and business sense. Understanding the principles of e-commerce business and user behavior analysis
• Proficiency in English
• Critical thinking ability to grasp complex, ambiguous, abstract requirements and break them down into smaller components, schemes, types and characteristics
• Demonstrated ability to work independently and be a self-starter. Ability to work effectively in a team, both in a leadership and support role

Responsibilities

• Integrate data from multiple sources, including ERP systems, CRM systems, e-commerce platforms (e.g., Shopify), and marketing tools
• Design, develop, and maintain ETL (Extract, Transform, Load) workflows to consolidate data from various sources
• Effectively use API integrations to automate data exchange between systems (e.g., ERP, CRM, WMS)
• Ensure the accuracy, completeness, and consistency of data being loaded into data warehouses or data marts
• Optimize ETL processes for performance and scalability
• Analyze data related to warehousing, and order processing to identify trends, patterns, and opportunities for improvement
• Design and implement data models to support business intelligence and analytics requirements
• Develop and maintain data dictionaries and documentation for data models
• Being the central stakeholder in implementation of Data Analytics tool across the organization
• Develop and deploy dashboards, reports, and data visualizations
• Train and support end-users in using Data Analytics tool effectively
• Implement data quality and data governance processes to ensure data integrity and compliance
• Monitor data quality and address any issues promptly

Benefits

• Fully remote team, flexible times (according to clients or team needs)
• Interesting, challenging, fast-growing projects
• Strong and open-minded, transparent team
• An environment that will push you to grow and evolve
• Freedom to make decisions (and fails!)
• Non-corporate, ever-evolving environment
• Results and solutions-oriented environment