Perform a support function by solving data related issues submitted via ticketing system.
Leverage data visualization tools such as Tableau and Periscope to create dashboards and data analysis for financial purposes.
Collaborate with stakeholders, executives, and decision-makers to prioritize, design, and fulfill data needs.
Investigate and solve complex data issues such as data bugs that impact financial reporting.
Prepare documentation such as data flows, case studies, and detailed query logic for code changes.
Uphold security and internal controls standards for data reporting through administrative responsibilities.
Promote and drive a self-service data culture by building easy to use tools and dashboards and teaching business users how to use them.
Deploy data quality checks and ensure high quality of dashboards and other data requests.
Work closely with the Product, Data Engineering, and Sales teams to stay current on latest product rollouts and their data and financial impacts.
Regularly communicate progress, risks, and completion of projects with stakeholders.
4+ years hands-on experience in BI, Data Science, or Data engineering.
Bachelor’s Degree
Strong SQL experience and dashboard building
Python, Google Scripts preferred
Exposure to Visualization Tools: Periscope and Tableau
Familiarity with: Github, JIRA, Snowflake
Strong level of knowledge and experience with multiple systems in a high transactional business
Proven accomplishments using needed skills and with a track record of success in a fast pace environment
Highly effective written and verbal communication skills
Deep understanding of financial concepts, common accounting practices, and system solutioning
Proven ability to prioritize and deliver on groomed list deliverables on time
Ability to communicate and coordinate with cross functional teams, troubleshoot a problem, gather information, and recommend solutions
Positive attitude and enthusiasm for Instacart

Data Analytics飞跃实战
要找到高薪的职位,数据相关的软硬技能是必备的。以Amazon的Business Analyst岗位为例,一定要能够熟练操作Excel,SQL,Tableau或PowerBI以及入门级别的R。
如果能够熟练使用R或者Python会是一个加分项。懂得如何使用Google Analytics并且能够从上面扒数据,就更好了,这样可以在做Digital相关的Business Intelligence的工作时有很大的帮助。
针对求职目标岗位为:
Business Analyst
Marketing Analyst
Data Analyst
eCommerce Business Intelligence Senior Specialist
Business Intelligence Specialist
Product Analyst
Marketing Performance Analyst
Growth Marketing Analyst
Pricing Analyst






