Senior Data Analyst

4 weeks ago

Princeton, United States Oxygen Service Company Full time

About Oxygen:

Oxygen is a modern financial platform designed for the 21st-century economy, tailored to meet the unique needs of today's consumers and small businesses (freelancers, solopreneurs and modern SMBs). We believe beauty lies in simplicity, from design to utility, and build our ever-growing product suite with this in mind. And we’re just getting started. At Oxygen, we’re focused on lifting up those who dare to push boundaries and redefine what's possible by delivering on our promise to be a more fair financial partner. The next generation building the future is writing their own rules and shattering expectations. So are we. For those who reject the status quo, welcome to Banking for the Extraordinary. Let's create the future

We are seeking a highly skilled Sr. Data Analyst with experience working in FinTech or startups. You will support our core financial product team and with your deep technical and analytical skills, coupled with your strategic mindset, you will help our product team extract valuable business insights that will help shape our products and roadmaps.

What you'll do:

Partner with our core financial products team (Onboarding, Accounts and Cards) to understand their analytics needs, create dashboards and reports that allow them to execute more effectively; Analyze data to find actionable insights that lead to business insights and opportunities; Own deep-dives resulting from business reviews and present findings to stakeholders; Work with business planners and decision makers to translate business questions into verifiable hypotheses using complex, multi-source data; Collaborate with stakeholders and report business and operational insights to leadership;

About you:

Relevant work experience in business intelligence, data science, business analytics, or related roles in big data environments on Senior roles; Experience with business intelligence analytics, reporting, visualization tools and methods (ie.Quicksight, Power BI, Looker, Tableau, etc); Experience with a scripting language (preferably Python) for analysis; Practical experience in compiling complex analytical reports; Previous experience working in a startup environment or in FinTech preferred but not required.

Major Pluses

Experience working with a high growth FinTech Additional coding languages (Java, R, JS, etc) Data Engineering and Data Science experience Experience within a Fraud and Risk Analytics team

Compensation and Benefits:

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training.

Oxygen also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a retirement plan, flex time off, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Oxygen reserves the right to amend or modify employee perks and benefits at any time.

Not sure you qualify?

Don’t meet every single requirement? At Oxygen we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Oxygen provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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