Job offer Business Data Analyst with Actimize- Canary Wharf Docklands London

s Area

Job offer Business Data Analyst with Actimize- Canary Wharf Docklands London

Salary Not Specified

s Area, Poplar, Greater London

  • Full time
  • Temporary
  • Remote working

Posted 3 weeks ago, 28 Aug | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 57511ad0a68f467fbc9672f941fd01a4

Full Job Description

We are currently seeking an experienced contracting Data Analyst to join our dynamic and growing Professional Analysis team based in central London.

You will primarily gather, understand and document detailed business requirements using appropriate tools and techniques and manipulate, analyze and interpret complex data sets relating to the employer's business.

Data analysis, management and Integration experience

Perform business analysis to support the deployment of Actimize AML products to meet clients' business requirements

Identify, evaluate and implement external services and tools to support data validation and cleansing

Liaise with internal and external clients to fully understand data content

Create data dashboards, graphs and visualizations

Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool

Develop and document data processes including data cleansing and matching

ETL design, Salary, remote work... Define all the criteria that are important to you.

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    You must have at least 1 to 2 years experience of working with Actimize software.

    Candidates must have a Bachelor's degree in a related subject

    Candidates must have proven and significant experience as a Data Analyst

    Strong PL/SQL skills

    Database development (SQL Server, Oracle)

    Data migration knowledge & experience

    Development and test of ETL Extract/Transform/Load (ETL) with large data sets.

    Using Enterprise level tools including MS SSIS, Informatica etc

    Procedural language such as C# or Python

    Master data management routines using Oracle SQL & PL/SQL