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Wal-Mart

Financial Data Analyst

Wal-Mart, San Francisco, California, United States, 94199


FocusKPI is looking for a

Financial Data Analyst

to join the Finance Data & Analytics team at one of our clients, a high-tech, SaaS company.

Client's team is looking for someone who is passionate about data, a self-starter, highly organized, analytical, and has a good eye for detail. You will have access to an analytics platform (built on Amazon Web Services) to build new data assets, automate analyses and reporting, and create insightful visualizations.

Work Location:

Remote - anywhere in the US Duration:

6 months contract Pay Range:

$70/hr to $81/hr

Responsibilities: You love working in a job that can change at a moment's notice. You are not fazed by the complexity and volume of data nor the dynamic sources and platforms where these datasets may reside, and understand the value this data provides when making critical business decisions. You thrive in an environment where you are charting your own course and working on problems for which there is no clear solution; where creativity is as crucial as your ability to write code. You enjoy being part of a high-performing team and working in a dynamic environment with plenty of opportunities to learn and develop. With strong partner engagement skills, you can juggle competing priorities and deliver on deadlines. Qualifications:

8-10 years

of relevant experience using data to drive insights at industry-leading companies. Preferred to have a degree in Business, Statistics, Finance, or a related analytical field; Technology or Software/SaaS industry experience. Having

finance

knowledge and

analytical

skills. Strong

SQL skills . Experience with

Tableau or other visualization tools . Understanding of the fundamentals of

data models

and performing

ETL . An excellent communicator who is passionate about collaborating with global, multi-functional teams. A willingness to accept failure, learn, and try again. Ability to understand stakeholders’ needs and break down complexity.

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