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Data Analyst

Durham, NC or Remote, US

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Spreedly

Spreedly is the world's leading Payments Orchestration Platform that lets you connect to payment services in over 100 countries with a single API connection.

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Spreedly is the world's leading Payments Orchestration solution. Our vision is that the world is better with a diversified, inclusive payment ecosystem. Our mission is to accelerate commerce with an open, secure, and flexible payment platform that welcomes all payment participants. Backed by Spectrum Equity, with a $75M investment, Spreedly is experiencing rapid growth.

We now serve 600 customers globally.  Many of these direct customers are platforms and marketplaces that have thousands of their merchants leveraging our payments platform.  Our customers include industry leaders in digital goods, order ahead and delivery, online marketplaces, donation/giving platforms, event ticketing, and financial services.

Our employees help us execute against our vision through building a culture focused on autonomy, transparency, and collaboration in a dynamic, high-growth organization.

We are seeking a Data Analyst to join our growing Business Analytics team. As a Data Analyst at Spreedly, you will work alongside a group of self-starters interested in solving real-world problems and in streamlining our internal capacity to simplify a complex environment with billions of data points and improve an industry by analyzing the new operating system for payments.

The ideal candidate is a data-obsessed, versatile professional who is passionate about telling data stories to non-technical audiences. They are able to call on their deep technical expertise and business knowledge to advance our capabilities to synthesize large volumes of complex big data and refine that raw data into actionable visual insights that are meaningful and important to the business. They will also work with business leaders and managers to use data to drive executive-level decision making, collaborating to build a data-driven culture within Spreedly.

Responsibilities

  • Exercise all phases of business analysis, including data quality, data analysis, data visualization, and presentation of results and deliverables
  • Build a positive relationship with business partners to provide operational/useful insights to improve business critical metrics with a focus on the growth of the business
  • Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data analysis
  • Participate in the creation and support of analytics standards and best practices
  • Utilize code (Python/R/SQL) for data analysis
  • Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data analysis
  • Partner with product and engineering teams to design tests (A/B, multivariate, etc.), track and measure the results, and analyze the results to quantify the impact on the business
  • Conduct revenue optimization & product early-life usage analysis to guide the growth & marketing team initiatives
  • Provide ad hoc reports as requested to support internal business units

Requirements

  • 5+ years working in data or analytics, with experience in a SaaS environment within the payments industry required
  • Experience with Looker, GitHub, and DBT (or a similar tool) 
  • Hands-on experience coding with R or Python and working with API calls and JSON to generate business insights and drive better organizational decision-making
  • Knowledge of key SaaS metrics and product benchmarks (DAU/MAU, user retention, etc.)
  • Experience with both pre- and post-sales analytics and go-to-market metrics such as conversion, churn, NRR, LTV, etc.
  • Have solid project management skills, including planning work, managing details, keeping multiple tasks/projects on track, working with cross-functional stakeholders, and navigating ambiguity to deliver results
  • Enthusiasm for conducting reproducible analysis, code reviews, version control, and solid documentation
  • Bachelor's degree in a quantitative or technical field

What We Offer

  • Competitive salary + Equity
  • Outstanding Medical and Dental Insurance: Premiums are 100% company paid for employees and families
  • Note: We offer two PPO health insurance plans: A traditional copay and a high deductible with HSA. Spreedly contributes $1,200/$2,400 per year to the HSA for those choosing the high deductible plan
  • Life and long-term disability insurance
  • Optional Vision insurance and various Flexible Spending Accounts (FSA)
  • Open Paid Time Off policy + 12 weeks paid leave for new parents
  • Matching 401k plan (5% up to $5,000 yearly)
  • Monthly digital lifestyle stipend ($150), new MacBook, and $200 accessory reimbursement
  • $3,000 annual Professional Development stipend and free LinkedIn Learning subscription
  • Flexible, remote friendly work environment
  • Quarterly visits to HQ in Durham, NC for remote employees
Spreedly is an equal opportunity employer. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training.

Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates must complete a successful background and reference check.

Some of our positions are open to remote applicants. If this is the case it will be sited in the job posting just below the position name. Unless otherwise stated, remote positions are open to candidates in the contiguous US only. We are not set up to support remote employees from CA, NY, or outside the contiguous US. All applicants must have a US work visa.

We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Big Data Business Analytics Data analysis Data quality Data visualization Engineering GitHub JSON Looker Python R SQL

Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Gear Health care Home office stipend Insurance Medical leave Startup environment Transparency

Regions: Remote/Anywhere North America
Country: United States
Job stats:  45  9  0
Category: Analyst Jobs

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