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Standard Life plc

Data Governance and Quality Analyst

London
£35k – £45k/yr
Posted about 20 hours ago
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Job Type: 6 month FTC

Closing Date: 1st October

Salary: £35,000 - £45,000 (subject to experience) + bonus, excellent pension scheme, private medical insurance, electric vehicle scheme, 38 days holiday incl. Bank Holidays, plus 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more!

Location: London, Edinburgh or Birmingham

Flexible working: All of our roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here. https://www.standardlifeplc.com/careers/flexible-working


We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.

Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards. We make room for what matters - so you can bring your best, every day.

We have an incredible opportunity to join us as a Data Governance & Quality Associate to join the Data Governance team in our Business Control & Governance function.

The Role To support the team to firmly establish data governance as a BAU capability within our Asset Management function. The goal of the Data Governance team is to ensure strong governance of our asset data, to help achieve the required level of data consistency & quality and contribute to meeting the overall Asset Management data and business strategy.

The role will focus on the implementation and operation of the asset data governance framework including the tooling, policies & standards and governance practices across the Asset Management function. The role will also contribute to building out our data quality environment, working closely with data owners, data stewards, technology teams and other stakeholders.

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This is an exciting opportunity for an individual with a keen interest in data and to be part of a growing capability in the highly specialised area of Asset Management within the Standard Life

Key Responsibilities

  • Assist with driving the maturity of the Data Governance framework by contributing and helping the business teams adopt data governance policies, standards and principles
  • Partner closely with data stewards and owners to create minimum standards for data dictionary and data quality validation rules
  • Participate in the implementation and maintenance of core business metadata and business data glossaries
  • Partner with data owners and stewards on data governance activities and help mitigate and resolve data issues
  • Manage and report metrics on Data Governance adoption and data quality issues
  • Help identify data quality gaps in asset data, and partner with data stewards, owners, and technology teams to mitigate operational risk
  • Work with data stewards and operational teams to identify and fill gaps of appropriate data controls
  • Assist with the management of the Data Governance forum and ensure all inputs and outputs are delivered in a timely manner
  • Serve as the expert on data governance business requirements and work with delivery teams to ensure requirements are clearly defined, communicated and considered as part of overall prioritisation and planning process

What we're looking for

This role would suit someone with entry-level knowledge and experience in data, with a proactive approach to learning and developing their skill set in data governance.

Minimum Criteria Experience (Essential)

  • Working in a data-related function within financial services, ideally in an Asset Management firm
  • Proficient use of Excel (Intermediate level), Word, PowerPoint
  • Basic knowledge of SQL queries
  • Strong data and analytical skills
  • Good presentation and facilitation skills
  • Understanding of data concepts, best practises, quality tools, and data management systems

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Desirable

  • Experience with maintaining a data governance framework, standards and principles is desirable
  • Engaging data stewards or data owners to adopt and adhere to data governance processes and principles is desirable
  • Experience in engaging with change programmes in a data governance capacity is desirable
  • Experience in running data quality validation processes for asset data is desirable
  • Experience in using data governance tools like Collibra or Alation is desirable

Personal Attributes

  • Excellent attention to detail and proactive can-do attitude
  • Enthusiastic and positive approach, taking pride in output
  • Ability to learn new concepts in a timely manner
  • Ability to work independently and to deadlines
  • Eager to learn and to develop in a data role
  • Team player who is creative and solution driven.

Skills

  • Excellent written and oral communication skills
  • Strong problem-solving skills

We want to hire the whole version of you.

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you.

If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.

Find out more about working at Standard Life

  • Guide for Candidates: standardlifeplc.pagetiger.com/guideforcandidates https://standardlifeplc.pagetiger.com/guideforcandidates/guideforcandidates
  • Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us http://www.standardlifeplc.com/careers/talk-to-us

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Location

London, UK

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