Freelance Data Analyst (digital product)

We seek an experienced Data Analyst with a strong background in data analytics, agile product development, and modern data tools as well as passion for digital products. You will work within our client digital product area, playing a key role in data modeling, analytics, and supporting our client's digital processes. This position is ideal for someone who combines technical expertise with a passion for using data to drive business impact.

Responsibilities;

• Develop, run, and maintain high-quality code, using appropriate tools to meet user expectations.
• Create and uphold robust data models and architecture that adhere to good practices and meet compliance standards.
• Collaborate in agile, DevOps-enabled teams to ensure timely delivery and operational functionality.
• Advocate for and apply best practices in data analytics within an agile framework to support business needs effectively.
• Drive changes across diverse environments to secure functionality and optimize product delivery.
• Provide support and technical guidance to team members and stakeholders, promoting effective data use.

Requirements:

• Experience: Minimum 5 years in data analytics, with familiarity in agile and domain-driven product development.
• Technical Skills: Proficiency in GCP (especially BigQuery), DBT, SQL, GitHub, and advanced data exploration/analysis techniques.
• Tools & Techniques: Skilled in data visualization, machine learning, and data pre-processing; experienced in scripting languages like Python and in using notebook environments for sharing insights.
• Analytical Knowledge: Strong foundation in probability, statistics, and modern data mining techniques.
• Collaboration & Communication: Ability to explain technical concepts to varied audiences and work collaboratively in virtual and cross-functional teams.
• Adaptability: Ability to shift approaches based on new ideas, strategies, and business needs.

Join our team to help advance our digital capabilities, retail processes, and data analytics for impactful decision-making.