BBVA
BBVA
BBVA yra pasaulinė bankininkystės ir finansinių paslaugų grupė, siekianti modernizuoti tai, kaip žmonės ir įmonės tvarko savo pinigus. Jos veikla apima įmonių ir investicinę bankininkystę, finansines technologijas bei skaitmeninę bankininkystę, o technologijomis pagrįsti finansiniai sprendimai teikiami 71,5 mln. klientų. BBVA, kurioje dirba daugiau nei 121 000 darbuotojų, suburia bankininkystės, konsultavimo ir rinkodaros kompetencijas bendradarbiavimu grįstoje aplinkoje, orientuotoje į inovacijas, skaitmeninę transformaciją ir profesinę kompetenciją.

Data Specialist, Advanced Analytics

Develop advanced analytics, impact models and pilot programs for BBVA’s microfinance foundation. Turn customer data into solutions that support Latin American entrepreneurs’ businesses and resilience.

Aprašymas

  • Design quantitative studies to understand the economic, social and business conditions of entrepreneurs served by the Group.
  • Track customer outcomes and identify patterns in growth, resilience, vulnerability, formalization, digital adoption and well-being.
  • Analyze surveys, interviews, sales interactions, digital channels and transaction behavior.
  • Frame research questions and hypotheses that inform business decisions, products, services and service models.
  • Build time-series, segmentation, estimation and recommendation models, including next-best product, service, content or action models.
  • Create indicators to track value generated for customers and the organization.
  • Use geomarketing and spatial analysis techniques.
  • Assess new data sources and ensure models are robust, interpretable and practical to use.
  • Partner with Data and Technology teams to maintain data integrity, consistency and traceability.
  • Build and maintain analytical datasets and establish quality controls.
  • Document data, variables, methods and assumptions.
  • Create dashboards and monitoring tools.
  • Prepare reports and ad hoc analyses to support strategic decisions.
  • Present findings to technical teams, business areas and leadership bodies.
  • Explain model implications, limitations and potential uses in clear terms.
  • Coordinate projects with data, commercial, technology, finance and risk teams.

Reikalavimai

  • Authorization to work in Spain.
  • Two years of experience in data science, advanced analytics, customer analytics, commercial intelligence, econometrics or a related field.
  • Experience delivering advanced analytics projects from problem definition through implementation or business use.
  • Experience working with complex databases and large volumes of data.
  • Experience building models for customers, products, marketing, commercial strategy or impact evaluation.
  • Experience designing and analyzing pilots, experiments or use cases.
  • Ability to lead workstreams and coordinate projects across different teams, countries and business units.
  • Interest in and commitment to social impact.
  • University degree in economics, mathematics, statistics, engineering, data science, physics or a related discipline.
  • Advanced Python and SQL (or similar language) skills, with experience in R.
  • Experience developing clustering, classification, regression, recommendation and time-series models.
  • Knowledge of machine learning techniques and model validation.
  • Experience with feature engineering, data preparation and analytical dataset construction.
  • Knowledge of statistical inference, econometrics and hypothesis testing.
  • Experience working in cloud environments and with corporate data platforms.
  • Knowledge of Oracle, SQL Server or MySQL databases.
  • Advanced Excel skills and the ability to prepare executive presentations.

Privalumai

  • The posting does not specify benefits, perks or additional compensation.

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