Big Data Analyst

  • Location

    Malvern, Worcestershire

  • Sector:

    IT

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Oliver Hurved

  • Contact email:

    Oliver.Hurved@experis.co.uk

  • Job ref:

    BBBH117060_1578928256

  • Published:

    9 months ago

  • Expiry date:

    2020-01-21

  • Start date:

    01/03/2020

  • Client:

    #

Big Data Analyst

Malvern

Up to £55,000

What's in it for the Big Data Analysist?

  • An Excellent Salary and Career Development opportunities
  • Work with leading edge technologies and industry leading teams and people
  • Excellent benefits package including contributory pension, Life Cover, income protection and much more
  • Working in a company who invest in their team (including certifications & subscriptions)

Responsibilities for the Big Data Analysist:

  • Technical Leadership of bids and projects
  • Leading tasks on a variety of projects involving extraction, cleansing, association, modelling, inference and visualisation of both structured and unstructured data.
  • Looking for opportunities to further improve our software tools.
  • Designing new tools and software components/services.
  • Support formulation of strategy for Data Analytics
  • Supporting the Business Development team to discuss solutions with customers
  • Governance, review of customer deliverables

Essential Skills for the Big Data Analysist:

  • Hold or be eligible for SC clearance
  • Proven track record of delivery of data-intensive projects
  • Skilled in at least one of the following:
    • Python, Java, Matlab, SQL, C++, Javascript, Bash
  • Experience (commercial or personal) of one or more of the following Big Data tools:
    • ElasticSearch, Hadoop, Spark, Solr, Salt/Puppet/Ansible, Zookeeper, Accumulo, Kafka, MongoDB, Neo4J..
  • Operating systems include: Linux (various flavours) and Windows

Desirable Skills for the Big Data Analysist

  • Experience of data association and inference techniques
  • Use of virtualisation and Cloud technologies
  • Supervision of less experienced technical staff.
  • Experience across the full product development lifecycle from requirements to user testing.
  • More general engineering design and implementation processes.
  • Some experience of working in an agile setting