Senior Data Analyst

Responsibilities

What You’ll Do:

• Work with Data:

• Responsible for querying, and analyzing large datasets, and creation or fixing of data pipelines and dashboards to meet business needs.

• Collaborate with Business Teams:

• Partner with business teams to understand challenges, contribute to analytics frameworks, and help translate business questions into technical tasks.

• Statistical Analysis:

• Conduct in-depth analysis using methods like A/B testing, regression, penetration, benchmarking, projection, assist in evaluating model performance, and interpret data to provide actionable insights.

• Data Integrity:

• Ensure data integrity and accuracy by implementing best practices in data management and governance.

• Project / Study:

Lead end-to-end in-depth analyses or projects independently, provide actionable next steps to address business challenges.

Requirements

• Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
• More than 4 years of experience in related roles
• Advanced level of SQL, strong knowledge in data granularity and data principles
• Strong interpretation of large and intricate dataset (millions to billions rows).
• Strong analytical and problem-solving skills.
• Strong communication & collaboration skills.
• Strong business acumen in finance, marketing, business development, operations or related.
• Able to work in a fast-paced and dynamic environment independently.
• Able to lead end-to-end projects or in-depth analyses independently.

Bonus Points If You Have:

• Knowledge in R or Python
• Experience in the e-commerce industry