Lead Data Analyst With Exp In Data Modelling,big Data, Dw And Operational Risk Domain

London, United Kingdom

Job Description

Company Description
Infoplus Technologies UK Limited is a global IT services company focusing on Enterprise solutions and integration services consulting (SAP/Oracle), software development, product solutions for education segment and IT consulting services offering outsourcing solutions to enterprises worldwide. Since inception, ITL has focused on a principle to maximize output for its clients and partners through cost-savings, enhancing productivity and quality. We challenge industry norms by holding ourselves accountable through our fixed-price commitments and a unique performance-pricing model. Head quartered at Borehamwood, United Kingdom, ITL was established in United Kingdom we help enterprises globally to plan their investments in technology, design and implement solutions that drive competitive advantage and deliver or manage critical applications to improve business performance. Based in UK, we have years of experience in servicing the clients across Europe and USA.

We have an job opening for Lead Data Analyst with our client and the details are as below: Job Type: Contract (Inside IR35) Duration: 6 Months Extendable Work Location: London, UK Client will not sponsor work permit. Applicants must be eligible to work in UK.
Job Purpose and primary objectives:
Data Analyst’s primary accountabilities are to Lead the Data Analytics/ Modelling for Climate Risk Technology; Work with the Head of Enterprise Risk Technology, Lead Architect, Delivery Managers, Transformation leads within Risk businesses to ensure Climate Risk IT is aligned with Risk IT and broader Group strategies, leveraging and promoting best practices across the wider group. Key responsibilities :

  • The role holder manages all aspects of the Data Analytics/ Modelling for Climate Risk, including:
  • Delivery of all aspects of the design and decision making on data architecture within Climate Risk
  • Act as a trusted advisor to the Lead Architect/ Data Architect
  • Be a champion for pragmatic and sustainable cloud adoption and re-platforming onto Google Cloud
  • Work with the Risk CDO to ensure that the Global Risk technology strategy support the organisations data management practices
  • Translate data into valuable insights that inform decisions. Identify and use the most appropriate analytical techniques with a good understanding of analytical tools.
  • Use data to recognise and exploit business opportunities.
  • Develop and maintain data standards for the service line. Communicate the business benefit of data standards, champion and govern those standards across the organisation.
  • Designing and maintaining metadata repositories to enable the organisation to understand data assets.
  • Create and manage data policies, roadmaps and vision statements.
  • Create data models and understand concepts and principles of data modelling and reverse engineer data models from a live system.
  • Maintain Data Dictionaries and Data Catalogue.
  • Data lifecycle management including data retention, archive and purge planning.
  • Provide expert advice on data products and processes.
  • Oversee migration of data from legacy applications to new systems.
  • Quality Assurance of Data Pipelines and ETL scripts to ensure security and standards are consistently applied.
  • Applies data governance processes across data lifecycle - data sourcing, transformation and consumption
Key Skills/Knowledge: The role holder is a technology leader, developing and maintaining strong relationships with a diverse range of technology and business teams in Climate Risk and beyond. To be effective, the role holder displays subject matter expertise, technical awareness, and excellent IT and business stakeholder management. Specifically,
  • Proven track record as a Data analyst/ architect with specific data focus on Data Warehousing on premise and on Cloud
  • Experience in data warehouse, Big data solutions (Hadoop ecosystem, Spark, Hive), Cloud, ETL as a designer or Architect
  • Deep understanding of Visualization & SQL Database technologies (DB2, PostgreSQL, MS SQL, Oracle) and cloud-based analytics products (BigQuery, Dataflow, DataProc, RedShift, Athena)
  • Expert in Data modelling and Database Schema definition with hands on experience in large projects. Expert in defining JSON Schema.
  • In-depth understanding of data strategies/approaches, data models, data security, data masking /encryption, data virtualisation, metadata management, ETL design & ETL Tools
  • Experience of developing large scale IT Data Architectures and in entity relationship, dimensional modelling and semantic models in a complex environment in Financial services domain
  • Experience working in Operational Risk domain and Risk reporting
  • Experience of modern architecture applying APIs, micro services, data foundation, advanced analytics and leading Cloud Providers PaaS and IaaS capabilities
  • Experience of designing and governing Data APIs in a complex environment
  • Experience of data exploitation tools such as Log Analytics or Reporting
  • Experience of delivering within an agile based Scrum team
  • A track record of translating business needs into strategy, architecture and executable roadmaps and leading architecture in support of a significant portfolio of change.
  • Experience of making complex design decisions with authority, even in times of ambiguity, balancing advancing strategy, immediate business needs and potential long term risks and implications
  • Strong analytical skills and ability to solve complex problems at scale
  • Built effective networks internally and created opportunities for others to work collaboratively
  • Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences including senior executives, business, architecture governance bodies and IT delivery
  • Ability to work globally and across cultures

Additional Information
If comfortable with requirement, please reply with your updated cv and below requested details at your earliest convenience. Current Daily Rate (in GBP): Expected Daily Rate (in GBP): Notice Period: Nationality: Work Authorization in UK: Current Location: Preferred Email ID: Best number to reach you: Total years of experience: Relevant years of Experience in Data Modelling/BigData: other job opportunities - details and Interview stages:

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Job Detail

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    Full Time
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  • Job Location
    London, United Kingdom
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