Data Analyst

Data Analyst Job Description Template

Our company is looking for a Data Analyst to join our team.

Responsibilities:

• Develop custom data models and algorithms to apply to data sets;
• Coordinate with different functional teams to implement models and monitor outcomes;
• Build and improve data infrastructure to route customer data into warehouse;
• Design and develop data warehouse for capturing and storing data;
• New data collection from internet;
• Leverage clustering techniques to identify and create relevant target segments for multiple marketing campaigns;
• Troubleshooting the reporting database environment and reports;
• Filter and clean data, review reports and performance indicators to locate and correct code problems;
• Work with stakeholders across engineering, operations and finance team to propose cost reduction initiatives;
• Model data in order to create reporting infrastructure/dashboards for business process management and data mining;
• Generating reports from single or multiple systems;
• Work closely with management to prioritize business and information needs;
• Execute deep & complex quantitative analyses that translates data into actionable insights;
• Provide quality assurance of imported data, working with quality assurance analyst if necessary;
• Acquire data from primary or secondary data sources and maintain databases/data systems.

Requirements:

• Bachelor’s degree in electrical/electronics, mechanical, industrial or computer science/engineering;
• A drive to learn and master new technologies and techniques;
• Working knowledge of one compiled programming language, such as Java or C++ is desired;
• Experience in building and/or leveraging visualization, prediction and recommendation systems;
• Experience with SaaS platforms like AWS and services is a must;
• Master’s degree in any engineering field is considered a plus;
• Prior work experience or internships in industries such as engineering, power, construction, manufacturing or oil and gas will be considered favorably;
• Proven working experience as a data analyst;
• MBA;
• Prior knowledge about e-commerce and consumer behavior would enable faster and more effective understanding and growth;
• Python;
• Proven experience working in a particular domain (Healthcare, Finance, CRM, etc);
• Technical expertise regarding data models, database design development, data mining and segmentation techniques;
• The person should be extremely fluid with Microsoft excel;
• R Programming.