Job Introduction
Main Responsibilities
The Data Analyst is a key role in our journey to becoming a data driven organisation. This is a key operational role, which supports the CIO and Head of Data (Framework Owner) responsibilities for development, implementation and day-to-day operation of Data Management Frameworks. Specifically, this involves activities related to metadata management, data harmonisation, data quality score carding, data quality issue analysis, data profiling and data lineage; thereby establishing data governance and ongoing maturity of the Bank's prioritised business outputs.
This role provides fundamental support and guidance for Information Area Owners and data stewards, as well as project teams to translate their data requirements (aligned to data policy and frameworks) into data outcomes using technical (profiling, mining, score carding) and business analysis skills. Ongoing impact is being made through the data analyst skillset where the ability to study, analyse and interpret large volumes of transactional data, question authenticity as well as construct solutions, work arounds and technical thinking, showcases the way forward for a more mature and holistic data service.
The role reports directly to the Data Technical Lead and is part of a team of data analysts responsible for embedding best practice data governance and quality practices across the Bank whilst also helping support the wider change initiatives across the organisation.
- Analytical problem solving with regards to analysing complex data sets and extracting meaningful insights for data quality management.
- Quantitative proficiency in order to work across multiple data sets and information areas.
- Problem solving skills related to data profiling analysis, score carding and error detection.
- Detailed scrutiny of data transformations and Data lineage in order to operationalise the Ab Initio system.
- Undertake activities to support the enterprise-wide data catalogue, to document business glossary definitions, taxonomies, ontologies and alignment to Handelsbanken Group conceptual data models and standards.
- Contribute to the development and maintenance of the metadata management system and data dictionaries, working collaboratively with data owners and their teams.
- Document source to target technical data lineage and data quality controls along the data flow for reports and business outputs.
- Analyse data quality root causes and understand business problems, partnering with business and technology teams to remediate data quality issues.
- Build data outcomes using technical data profiling, mining, utilising data analysis skills.
- Undertake quantitative analysis using Power BI, Excel and SQL experience to source, analyse, normalise and process data across multiple data sets.
- Conduct data analysis to study, analyse and interpret large volumes of transactional data, question authenticity as well as construct solutions.
- Interpret data flows and models to understand lineage gaps and resolve missing data quality controls.
- Apply best practice data quality and metadata management principles to resolve data quality issues and address underlying causes.
- Support the development of trusted sources for critical data, working with other stakeholders including data consumers, data producers, data owners and stewards to define requirements.
Ideal Candidate
Research (by Harvard University) shows that women are particularly likely to second guess themselves and not apply - so if you are worried you don't meet all the criteria, get in touch anyhow and let us do the worrying…
- Be passionate about data quality and continuously strive to promote data quality through the development of system and process controls.
- Apply technical thinking with regards to analysing complex data sets and extracting meaningful insights for data quality management
- Demonstrate detailed scrutiny of technical and business data flows and transformations in order to operationalise data lineage management.
- Demonstrate experience leading data management activities to implement data frameworks and establish data controls and monitor their effectiveness.
- Experience of leading data quality initiatives that have provided tangible efficiencies and/or business value.
- Experience of data quality management, master data management and reference data management
- Working knowledge of statutory frameworks such as CCPA, GDPR, BCBS and Data Protection Act
- Demonstrate experience of problem-solving skills related to data profiling analysis, score carding and error detection.
- Experience using data visualisation tools to present complex analysis is essential e.g. Power BI, Tableau, QlikView
- Strong presentation skills both written and oral, experienced in presenting complex data concepts to a business audience i.e. running workshops and formal data governance meetings.
- Knowledge and understanding of master data elements and processes, understanding of static versus transactional data challenges.
- Experience and/or knowledge of data quality and lineage tools: Ad Initio, Collibra, Informatica, IBM MDM etc.
- Experience of data modelling is ideal but not essential.
Company Information
Handelsbanken is a relationship bank with a decentralised way of working, a strong local presence thanks to a nationwide network of branches, and a long-term approach to customer relations. Each Handelsbanken branch operates as a local business enabling it to make decisions at a local level and provide a bespoke service. The focus is always on the need of the individual customer and not on the sale of specific products.
We are embarking on an exciting Business Transformation journey. This transformation will significantly enhance our technology system systems, processes and services, bringing evolution to our ways of working. Join us in this transformative journey, where your dedication, adaptability and commitment will play a crucial role in shaping the future of banking for our valued customers.
The Bank is deeply committed to embedding good equality and diversity practice into all of our activities. This is so that we are an inclusive, welcoming and inspiring place to work that encourages everyone to apply, regardless of socio-economic background, age, disability, pregnancy and/or parental status, race (including colour, nationality, and ethnic or national origin), veteran status, marital and civil partnership status, religion or belief, sex, gender reassignment or sexual orientation.
Check our Handelsbanken website for further information
At Handelsbanken, we deeply value our unique culture and values including trust in and respect for each individual. We take pride in nurturing a work environment where people flourish, and where they are empowered to take decisions in their areas of expertise. We take a long term perspective in everything we do and want each employee who joins us to build a long terms successful career with the Bank.
What is in it for you?
- We have a wide range of learning and development available, empowering and enabling our colleagues to take ownership of their own development.
- Competitive Salary and an extensive range of benefits is provided, including private medical insurance, income protection and life assurance
- A market-leading pension contribution of 15% paid by the bank, which can be invested in a wide range of funds (including ESG and Shariah funds)
Application next steps
Your journey with us begins once you have submitted your application. One of our Handelsbanken recruiters will be reviewing your details and will later organise a phone conversation if you match the role requirements. If there is a mutual fit, we will extend an invitation for you to participate in an interview.
There will be a combination of technical and competency based interviews.
How can we support you to be your best self? Our Talent Acquisition team will be happy to provide support e.g. if you need additional time to prepare for an interview or you have any requirements for any part of the interview/hiring process – just let us know by email uk_talent@careers.handelsbanken.co.uk.
This advert will be live for a minimum of two weeks. However, please note that after the two weeks, the closing date could change at any time depending on the number of responses received.
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