Description

You will own the engineering and delivery of data solutions to meet business requirements.

Responsibilities

• Understand domain expert requirements and translate them into data tooling specifications.
• Create rapid analytics prototypes, including notebooks and dashboards, to address user needs.
• Develop dashboards and reports using structured and semi-structured datasets for stakeholders.
• Identify data gaps and implement data quality checks in collaboration with domain experts and data engineers.
• Identify opportunities to improve timelines, reliability, and costs across product lines, following software engineering best practices.

Required Skills

• 8-12 years of experience in analytics engineering, focused on dashboards, visualizations, and reporting.
• Proficiency in SQL and Python for data analysis.
• Hands-on experience with structured and semi-structured datasets.
• Expertise in data modeling and visualization techniques.
• Experience implementing data quality checks.
• Strong background in data analysis using Pandas and NumPy.
• Ability to collaborate with cross-functional teams.

Key Skills

Education

Any Graduate