Senior Data Analyst, Scommerce

Artificial Intelligence First: Working with AI tools to improve efficiency, drive AI automation to improve speed of business decision making. 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: Assist in 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: Engage in end-to-end in-depth analyses or projects, and provide actionable next steps to address business challenges. Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields. More than 3 years of experience in relevant fields. Advanced proficiency in 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. Bonus Points If You Have: Knowledge in R or Python Experience in the e-commerce industry Experience in applying AI solutions to accelerate data queries and analysis