Career

IT Data Analyst for AML team

WE ARE HIRING

IT Data Analyst for AML team

Job Description

Consultant will be part of the AML Review team, and will be working close with other colleagues in a squad fulfillling its own mission. You’ll also belong to the AML Review Data Analysts department, where we are nurturing learning and co-creating culture as well as acting as sparring partners for each other. Current project is seeking a contractor to speed up the deliveries for developed solutions in various business segments.

Intro about RNDpoint

We are a part of an organization, which delivers world-class digital financial solutions to customers. We have an understanding that the current change is Technology-driven, and we prioritize IT as a key component for success in our journey to drive digital disruption in banks. Our teams work with complex tech challenges and develop global competitive edge on innovative digital solutions. Teams are driven by job content, share ownership of strategic services, own service strategy and lead improvement. 

Responsibilities

  • Data analysis and development of AML Review tools and systems
  • Data discovery, data profiling, data modelling and translating high level business requirements into ETL specifications (MS SQL, IBM DataStage and others)
  • Combine raw information from different sources
  • Generate reports to deliver insights, including ad hoc data extraction
  • Develop processes for data acquisition, data transformation, data migration, data verification and data monitoring
  • Guide integration of data analysis in recurring reporting and data marts
  • Collaborate with other data analysts and developers to establish data governance, validation and development
  • Create an excellent customer experience and ensuredata accuracy
  • Being proactive and a team player believing that collaboration with colleagues is the key driver of success
  • Responsible for handling, manipulating data, building models, producing meaningful analysis, establish trends
  • Creating operational and insightful actions towards our digital banking strategy

Requirements

We expect you:

  • Have an academic background in Computer Sciences, Statistics, or Mathematics
  • Experienced in data modelling and profiling with deep understanding of data consumption oriented structures like Marts, Cubes and Star Schemas
  • Experienced working with systems producing and consuming large amounts of data, ETL tools – MS SQL, SSIS, IBM DataStage or similar
  • Confident in supporting the entire model life cycle, i.e., from development to production and maintenance
  • Experience working with data interfaces from a myriad of different data sources located and designing historical audit track of these data
  • Using dedicated tools to visualize data flows
  • Have good communicational and interpersonal skills, ability to make decisions in a rather complex environment
  • Keep Agile mindset, good analytical and problem solving skills
  • Experienced in working with Agile methodologies
  • Fluent in English

Would be considered as a benefit:

  • Experience working with SAS, Alteryx, Python, Hadoop, or similar
  • Knowledge of BI tools such as Tableau, QlikView, PowerBI, or similar

We offer

  • An inspiring environment in a large IT organization
  • Work in an international team, which concentrates on innovative business facing solutions
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