Stefanini Brasil
Stefanini Brasil
„Stefanini Brasil“ yra Brazilijoje veikiantis „Stefanini Group“ padalinys. „Stefanini Group“ – pasaulinė technologijų konsultavimo ir paslaugų įmonė, daugiausia dėmesio skirianti dirbtiniu intelektu grindžiamai transformacijai. Įmonės veikla apima dirbtinio intelekto platformas ir taikomąsias programas, individualių programinės įrangos sprendimų kūrimą, hibridinį debesijos modelį ir infrastruktūrą, migravimą į debesiją bei jos valdymą, skaitmeninės darbo vietos paslaugas, verslo platformas, tokias kaip „Topaz“, skirtas visapusiškai bankininkystei, duomenis ir analitiką, kibernetinį saugumą bei konkrečioms pramonės šakoms pritaikytus technologinius sprendimus. Įmonė padeda verslo klientams modernizuoti skaitmeninę veiklą, automatizuoti procesus, valdyti technologijų operacijas ir teikia valdomas paslaugas finansinių paslaugų, gamybos, mažmeninės prekybos ir telekomunikacijų sektoriuose.

Mid-Level Data Analyst, Insurance Analytics

Develop data solutions for Stefanini’s insurance business, from Lakehouse modeling and data transformations to Power BI dashboards.

Aprašymas

  • Work with business and technical teams to understand needs, rules, context, and expected value.
  • Turn business needs into technical solutions and data models.
  • Create data transformations with Databricks, PySpark, and SQL.
  • Build and refine Lakehouse data across the Bronze, Silver, and Gold layers of the medallion architecture.
  • Prepare curated, integrated, reliable data for varied uses.
  • Set and apply transformation rules, relationships, granularity, keys, and model structures.
  • Create and maintain reusable datasets and analytical models.
  • Evaluate data quality, consistency, and reliability.
  • Conduct business analysis and help generate insights.
  • Create and improve Power BI dashboards and visualizations.
  • Collaborate with technical and business teams.
  • Track work, progress, decisions, and blockers in Jira.
  • Take part in Scrum ceremonies and practices.
  • Document relevant context, decisions, and agreements through asynchronous communication.

Reikalavimai

  • Experience with Databricks.
  • Experience with PySpark.
  • Experience with SQL.
  • Experience in data modeling.
  • Experience in data transformation and preparation.
  • Knowledge of Data Lake or Lakehouse environments and medallion architecture.
  • Knowledge of data quality and reliability.
  • Experience with Power BI and data visualization.
  • Experience in exploratory and business analysis.
  • Knowledge of Scrum and agile practices.
  • Preferably located in Porto Alegre, Rio Grande do Sul, or nearby.
  • Available to work in a hybrid arrangement, including on-site attendance at the CAS once a week.
  • Able to work independently, stay organized, and communicate effectively.
  • Preferred: prior insurance industry experience; familiarity with insurance products, processes, or KPIs; experience across Analytics Engineering, Data Engineering, analytics, and data visualization; and the ability to connect business needs with analysis, modeling, and technical implementation.

Privalumai

  • Meal or food allowance.
  • Discounts on courses, universities, and language schools.
  • Stefanini Academy access, with free, current online courses and certificates.
  • Mentoring.
  • Discount club for medical appointments and exams.
  • Health insurance.
  • Dental insurance.
  • Benefits and discounts at leading establishments.
  • Travel club.
  • Pet insurance partnership.