Array Logo

Array

Senior Data Analyst

Reposted 3 Days Ago
Remote
80-80
Expert/Leader
Remote
80-80
Expert/Leader
The Senior Data Analyst will lead data analysis efforts, solve engineering challenges, and enhance consumer experiences through data-driven insights in a fintech environment.
The summary above was generated by AI

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 Senior 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 CEO and focus their work with the product data team. 

Selected candidates will have the opportunity to participate in a 90-day evaluation period, typically structured as a 1099 or C2C contract, though full-time employment can be arranged if needed. During this period, you will be expected to work on complex tasks with some ambiguity, utilize AI tools to enhance efficiency, and collaborate with the CEO, product managers, and senior leadership. At the end of the 90 days, we will evaluate whether to transition to full-time employment, extend the contract, or conclude the engagement.

You Will:

  • Provide ongoing technical problem-solving and data analysis to support business needs effectively.
  • Experience analyzing consumer front-end data to identify barriers to conversion and drive improvements.
  • Proven track record of using data to increase key performance metrics, such as conversion rates or monthly active users.
  • Familiarity with optimizing consumer funnels, focusing on onboarding and application flow enhancements.
  • Strong understanding of how B2B and B2C elements intersect in a B2B2C environment, recognizing related constraints and impacts.
  • Ability to analyze metrics like Customer Acquisition Cost (CAC), conversion rate, and Return on Spend (ROS).
  • Analytical skills to develop data-driven insights that help improve user experience and drive higher conversion rates.
  • Maintain a habit of using AI tools to think, build, and ship faster—it’s your default, not an afterthought.

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.
  • Analyze user behavior data to pinpoint areas of improvement in consumer onboarding and conversion flows.
  • Provide insights to inform product decisions that enhance front-end user experience and increase conversion rates.
  • Support the product team by identifying and quantifying opportunities for optimization in the B2B2C funnel.
  • Collaborate with product managers to measure the success of initiatives related to consumer engagement and acquisition.
  • Track and report on conversion metrics, CAC, and ROI, offering recommendations to improve performance.
  • Use data-driven insights to help minimize ad spend while maximizing organic conversions.
  • Required: experience in: SQL, Python, R, and data visualization tools.
  • A belief that AI is reshaping work, you instinctively use it to accelerate everything you do.

Pay Transparency: $80 per hour

Expected interviews: Recruiter conversation - Paid Interview, Conversation with the Data Analyst lead.

Array Offers All Full Time Employees the following Benefits and Perks (benefits start upon conversion to Full Time): 

  • 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
  • Summer Fridays (half-day Fridays) typically from late May to the end of August
  • AnniversArray 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.

Top Skills

Data Visualization Tools
Python
R
SQL

Similar Jobs

Yesterday
Easy Apply
Remote
2 Locations
Easy Apply
130K-190K
Mid level
130K-190K
Mid level
Healthtech • Information Technology • Mobile • Productivity • Software • Analytics • Telehealth
Analyze extensive datasets to identify patterns, lead data projects, and collaborate with product teams to inform strategy and client analytics.
Top Skills: Data Visualization ToolsPythonSparkSQLUnix Command-Line
9 Days Ago
Easy Apply
Remote
United States
Easy Apply
100K-140K
Senior level
100K-140K
Senior level
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
The Senior Data Analyst will lead high-impact projects, analyze data to drive business recommendations, automate reporting, and mentor teams across various stakeholders.
Top Skills: LookerPythonSQLTableau
8 Days Ago
Remote
7 Locations
Senior level
Senior level
Blockchain • Internet of Things • Payments • Cryptocurrency • Web3
As a Senior Data Analyst at Chainlink Labs, you will analyze economic models, design systems, and influence data-driven decisions for blockchain economic projects.
Top Skills: GoPythonRustSoliditySQL

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account