Demo

Data Analytics & Engineering - Data Analyst III Data Analyst III

Mindlance
San Francisco, CA Full Time
POSTED ON 1/29/2025
AVAILABLE BEFORE 4/21/2025

Job Description : Data Analyst III, Partner Data Solutions

Description

Our Risk & Payments team's purpose is to serve our global community by providing payment support, upholding our payment principles, and protecting individuals and businesses against payment abuse. We seek to lead the payments industry in trust, integrity, and support. To help us achieve this mission, we are adding a Payments Data Analyst in our Partner Data Solutions team. In this role, you'll be responsible for driving data analytics and building out data solutions around payment partner performance across our different payment flows on

  • Instagram, Messenger, Oculus and Workplace. You'll be monitoring, understanding and building a scalable payments ecosystem.

We are looking for someone who can set the direction in payments performance by aligning different engineering, product, and operations teams, and by building on the strengths of those teams. Our ideal candidate is passionate about data and has a track record of bringing course-changing insights to cross-functional teams.

Responsibilities

Provide data insights, determine what is important, clarify next steps and delegate to meet expectations

Design, prototype and test payment partner performance metrics

Create forecasting, monitoring and alerting systems for these metrics

Facilitate data conversations with product, engineering and operations teams to align on shared goals

Create a deep understanding of a complex technical environment through data and reporting of partner performance

Become an expert in

  • s payments and support infrastructure, products, tools, systems, and data
  • Lead efforts in creating quality assessment systems of complex payment flows

    Minimum Qualifications

    4 years of experience designing, running, and presenting data analysis

    3 years of experience querying data (SQL or similar) or performing statistical analysis (R, Python, or similar)

    Proven experience building relationships among multiple teams

    Experience explaining data analyses to cross-functional teams who are not focused on analytical work

    Experience working with complex payment processing data

    Experience working autonomously and collaboratively

    Experience working with online payments data

    Preferred Qualifications

    Bachelor's degree in Science, Engineering, Operations Research, Economics, Business or similar or equivalent professional experience

    Graduate degree or equivalent practical experience in related field

    Experience delivering measurable results in risk, security, payments, or business strategy

    Experience working in the payments industry, focused on how to improve payment processes

    Top hard skills required

  • Coding language (SQL)
  • Presentation skills (general Microsoft / google docs)
  • Data analytic skill sets (regression analysis, cluster, stats)
  • Comments for Suppliers : MAX BR

  • per hour
  • 4 years of experience designing, running, and presenting data analysis

    3 years of experience querying data (SQL or similar) or performing statistical analysis (R, Python, or similar)

    Here is the scope for this CW (which would be a Data Analyst role) :

  • Enhancement of the dashboards includes introducing new metrics (e.g., for payouts) and improving current queries which are inefficient or broken. There is a major degradation risk to our measurement suite without this support.
  • Build a centralized report for contractual partner SLAs - we do not have a way to measure partner contractual obligations and cannot act on non-compliance (presenting a financial risk to Meta). This is also an internal audit requirement that we are currently out of compliance on.
  • Ad hoc data support and analysis to support XFN including Finance, MFT Partnerships, MFT Payment Platform Eng, and more on various impact analysis and sizing new strategic opportunities.
  • EEO :

    Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans."

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