Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.
As a remote-first company, we’re focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.
The principal data analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we’re facing. You will work with business and technology leaders to understand the holistic business strategy and then design and execute against technical strategies for delivery. This position will report to the Chief Technology Officer (CTO) or Senior Director of Engineering and work across multiple products at Array.
You Will:
- Provide ongoing technical problem-solving and data analysis to support business needs effectively.
- Collaborate closely with general managers to design and review data roadmaps, including proof-of-concepts, and identify operational gaps for improvement.
- Leverage expertise in data APIs, cloud technologies, and databases to drive data-driven solutions.
- Contribute to coding efforts, spending a significant portion of your time analyzing and manipulating data.
- Establish and maintain relationships across the organization, gaining broad knowledge of business domains and technologies.
You Have:
- An advanced degree in computer science, statistics, mathematics, or a related field.
- A minimum of 10 years of professional experience in data analysis, with a strong track record of delivering impactful solutions.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts effectively.
- Experience collaborating with product and technical teams to develop and deliver data-driven solutions.
- Familiarity with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS), as well as containerization tools like Docker and Kubernetes.
- Preferred, but not required, experience with specific technologies such as SQL, Python, R, and data visualization tools.
Pay Transparency: $198,000+ base salary, depending on experience
Array Offers All Full Time Employees the following Benefits and Perks:
- Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
- Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
- 100% 401k match up to 4% with immediate vesting
- Generous and competitive parental leave for all parents
- $1,000 desk setup subsidy to set-up your unique remote office
- $100/month to subsidize wifi/cell phone expenses
- Arrayaversary Kits for work anniversaries
Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don’t meet every single one, we encourage you to still apply. We’d love to hear from you.
One of our core values at Array is to care and support one another, and that’s why we strive to create an environment where everyone feels empowered to bring their best selves to work. Diversity, equity, and inclusion foster collaboration, comfort, and confidence. We’re at our collective best when we each feel our best.
We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
India only
