Neon
Neon
Neon ir Brazīlijas finanšu tehnoloģiju uzņēmums, kas izstrādā mobilajām ierīcēm pielāgotus finanšu pakalpojumus privātpersonām, neatkarīgiem profesionāļiem un uzņēmumiem. Tā platformā apvienoti digitālie konti, kredītkartes bez gada maksas, CDB ieguldījumi, privātie aizdevumi, virtuālās kartes, naudas atmaksas iespējas un Pix pārskaitījumi, kā arī risinājumi, kas paredzēti MEI. Kā Brazīlijas Centrālās bankas regulēta autorizēta maksājumu iestāde Neon apvieno ikdienas finanšu pārvaldību ar tehnoloģijās balstītiem finanšu produktiem un atbalsta augošo komandu, piedāvājot karjeras iespējas digitālo finanšu un produktu izstrādes jomā.

Senior Analytics and Planning Analyst, B2B Collections

At Neon, build dashboards and assess the return on B2B collections initiatives. Analyze business credit risk and help plan targets and action plans.

Apraksts

  • Develop and maintain collections dashboards tracking recoveries, doubtful debt provisions, portfolio aging, and performance by strategy and channel.
  • Evaluate the return on mass collections initiatives, such as AI agents, legal notices, letters, and email, and recommend changes.
  • Assess the business customer portfolio to identify companies suited to payroll-deductible lending and high-risk companies for the Credit team to avoid or block.
  • Help plan monthly and quarterly targets and model possible outcomes.
  • Turn analysis into practical team recommendations, delivery roadmaps, and action plans.

Prasības

  • Adapt readily to changing situations and challenges in a dynamic environment.
  • Focus on results and prioritize initiatives with the greatest impact.
  • Work independently and collaboratively in a remote setting.
  • Advanced SQL skills.
  • Advanced Excel skills.
  • Experience with a BI tool such as Looker, Power BI, or Metabase.
  • Practical experience using generative AI tools such as Claude or Gemini to speed up analysis, automate data tasks, and help create dashboards and reports.
  • Knowledge of business credit, delinquency, or collections is preferred.
  • Python skills and basic statistics for risk prioritization models are a plus.

Priekšrocības

  • Remote work, with team meetups every three months in São Paulo.
  • Credit toward a home office kit.
  • Access to a coworking space partnership.
  • iFood Benefícios card covering meals, food, and mobility.
  • Gympass membership with access to gyms and online classes.
  • Daycare or babysitter allowance.
  • Extended parental leave.
  • Medical and dental insurance.
  • Open English lesson packages and exclusive discounts for employees and dependents.
  • Discounts on MBA and specialization programs at USP ESALQ.