Product Analyst / Data Analyst (IRC266939)

Job Description

You are an experienced Product / Data Analyst. You enjoy working at the intersection of data and business, gathering and refining requirements from stakeholders, and collaborating with engineering teams to ensure successful project delivery. You have a proven ability to translate business needs into actionable data solutions and to ensure these solutions have real business impact. You thrive in dynamic environments, are curious, and enjoy working in cross-functional teams.

• 5+ years of experience in data analysis, business analysis, or a related role.
• A bachelor’s or master’s degree in a relevant field such as Computer Science, Data Science, Engineering, or Business Analytics.
• Strong SQL skills (must have).
• Proficiency in Python for data analysis (must have) to explore, prepare, and analyze data.
• Understanding of AI/ML concepts and ability to collaborate with ML teams on data requirements.
• Understanding of data quality, data integrity, and data governance principles.
• Excellent verbal and written English communication skills.
• Experience with project management methodologies and tools.
• Ability to interpret business requirements and translate them into clear data needs and actionable insights.
• Strong problem-solving skills and the ability to work through data-related challenges.
• Collaboration and communication skills to work effectively with data scientists, ML engineers, and other stakeholders.
• Ability to create clear documentation and deliver engaging presentations for both technical and non-technical audiences.

Job Responsibilities

• Work closely with business stakeholders to understand their needs, pain points, and goals, and translate these into clear data requirements.
• Collaborate with data engineers and ML teams to identify and secure the required data for analysis and model development.
• Conduct data exploration, profiling, and preparation to ensure data quality and relevance.
• Document data flows, requirements, and data-related business processes.
• Translate business requirements into clear technical specifications and ensure alignment with project goals.
• Help identify potential challenges and limitations in the proposed data solutions and collaborate to resolve them.
• Act as a bridge between business and technical teams by clearly explaining how data can be used to support business decisions.
• Provide insights and recommendations based on data analysis to improve business outcomes.
• Create user guides or documentation to help non-technical stakeholders understand data usage and AI/ML outputs.
• Present findings and insights in a clear and accessible manner.

Department/Project Description

The client is an American multinational association that is involved in the design, development, manufacturing, worldwide marketing, and sales of apparel, footwear, accessories, equipment, and services. The company is a proven leader in its industry and is constantly working to create innovative products and services.

The project is about using a full price sales performance to predict value marketplace behaviour. There is a team of Data and Machine Learning engineers who develop the product using different ML models and data from different sources for trainings.