Remote Data Analyst

Summary

The Data Analyst / Junior Data Scientist role involves analyzing data to provide actionable insights for business. Key responsibilities include data collection, processing, analysis, predictive modeling, machine learning, data visualization, reporting, and maintaining data infrastructure. Requirements include strong mathematical skills, intermediate understanding of databases, proficiency in reporting tools, knowledge of website scripts, understanding of ETL frameworks and tools, familiarity with digital marketing analytics tools, excellent analytical skills, strong attention to detail, effective presentation skills, problem-solving skills, strong communication skills, and an understanding of the eCommerce industry.

Requirements

• Strong mathematical and numeracy skills
• Intermediate understanding of databases such as SQL Server, PosGreSQL, NoSQL DB i.e MongoDB
• Proficiency in reporting and data visualization tools like Business Objects, PowerBi, and Tableau
• Knowledge of website scripts such as XML, Javascript, and JSON
• Understanding of ETL frameworks and tools, including Alteryx and Microsoft SSIS
• Familiarity with digital marketing analytics tools like Google 360, Google Analytics
• Excellent analytical skills with the ability to identify trends, patterns, and insights from data
• Strong attention to detail and accuracy in data handling
• Effective presentation skills, with the ability to communicate complex ideas clearly and concisely
• Problem-solving skills to address data-related challenges
• Strong communication and stakeholder management skills, with the ability to resolve conflicts effectively
• Understanding of the eCommerce industry and marketplaces such as Amazon, eBay, and Walmart

Responsibilities

• Identify relevant data sources to meet business needs
• Collect structured and unstructured data from various sources
• Source missing data and organize it into usable formats
• Enhance the data collection process for improved efficiency and accuracy
• Process, cleanse, and verify the integrity of data
• Analyze data for trends and patterns to answer specific business questions
• Assess the quality of data and perform necessary cleaning
• Develop, implement, and maintain databases to support data analysis activities
• Build predictive models and machine learning algorithms to forecast trends and inform business strategies
• Continuously improve and refine models to enhance accuracy and performance
• Generate insights and information from data sets to identify trends and patterns
• Create visualizations to effectively communicate data findings to executive and project teams
• Prepare comprehensive reports to support business decisions
• Set up and maintain data infrastructure to support data collection and analysis