ChargeAfter
  • 5 active jobs (view)

  • Published: November 21, 2021
Category
Job Type
Level of education
Undergraduate
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
3 years

Description

About us:

ChargeAfter is a market-leading payments platform shaping the future of multi-lender “Buy Now Pay Later” financing solutions for the modern enterprise. We are creating the next wave of credit at the point of sale: Omnichannel, global, personalized, optimized credit from multiple tiered lender sources in real-time.

ChargeAfter was founded in 2017 to help every consumer access fair and attainable financing options tailored to their unique needs. Our global financing network facilitates and connects B2C and B2B lenders with merchants, creating a global financing network that enables enterprise brands and merchants to offer real-time, low-cost, flexible financing options to their customers regardless of credit profile.

As a growth-stage Fintech leader operating the most innovative and advanced Buy Now Pay Later (point-of-sale financing) platform, ChargeAfter has achieved exponential growth in 2020. Here at ChargeAfter, we are building the next unicorn in the Fintech industry and are looking for an insightful and passionate Senior Data Analyst to help make it happen!

ChargeAfter is venture-backed by the leading names in the financial industry to include Visa, Mitsubishi Bank (The 4th largest bank globally), BBVA (The 10th largest bank globally), Synchrony Financial (The leading consumer financing and private label credit card provider), PICO Venture Partners, Propel Venture Partners and the Plug and Play VC.

ChargeAfter has also won several awards such as the BBVA open talent award, the "Promising Fintech Startup in Lending & Financing" award by Citibank and Visa and the Red Herring “Top 100” North American award.

About the role:

As a Senior Data Analyst at ChargeAfter you will use your data skills and business mindset to make a difference in our fast-growing US & global business across our lenders, merchants and partners. The Data Analyst will be involved in strategic projects and work closely with product owners and business stakeholders, using data to identify and translate business needs and opportunities into actionable initiatives.

You will:

- Analyze and develop reports and models we can use for performance tracking and optimization, drawing recommendations from your analysis
- Build, enhance and streamline reports that help team members and internal stakeholders understand the performance of their business and identify action points
- Perform ad-hoc analysis on business trends and results, translate and communicate results to leadership and key stakeholders
- Provide input on ongoing projects and initiatives to reach business targets; run and assess your proposed actions in collaboration with the relevant teams
- Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future

Requirements

You have:

- Minimum 3 years experience working in a business analysis, data analysis, reporting or business strategy role
- Bachelor’s Degree or higher in computer sciences, engineering, mathematics, statistics, data science or a related degree program.
- Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar
- Working proficiency in XML, data modelling, data architecture & components
- Analytical mindset, with proven track record in using data to measure performance and make decisions
- Excellent problem-solving skills including the ability to analyze and resolve complex problems using data
- Ability to work under pressure in a fast-paced and rapidly changing environment
- Excellent communication skills (both verbal and written), with proven ability to convey complex messages clearly and with conviction
- Team player with strong interpersonal, relationship-building, and stakeholder management skills

Preferred Qualifications:

- MBA or Masters in a quantitative subject (computer science, data science, analytics, mathematics, engineering, science, economics and finance etc.)
- B2C experience
- Fintech / Payment / Financing experience

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