Job Description

Role TITLE - for Data Trust, Data Analytics

 

 

ROLE SUMMARY:

The hybrid Business Analyst / Data Analyst sits within the client Data and Analytics Data Trust team & will play a pivotal role in bridging the gap between business needs and technical solutions, with a strong emphasis on data governance and data management. This role is responsible for ensuring the client's data assets are effectively governed, secure, and aligned with business objectives with a specific focus on supporting the capture of data lineage across the technology estate.

 

WHAT YOU'LL BE DOING:

The successful candidate will be expected to be responsible and accountable for:

  • Collaborating with business and technical stakeholders to gather, document, and analyse requirements for data-related projects and initiatives
  • Designing, implementing, and maintaining data governance frameworks, policies, and procedures to ensure compliance with data policy
  • Performing data analysis to identify trends, patterns, and insights that support the generation of the Data Trust data assets
  • Developing and maintaining data dictionaries, metadata repositories, and documentation to support data governance initiatives
  • Facilitating the creation of data models and ensuring alignment with business needs and technical capabilities
  • Monitoring and enforcing compliance with data governance standards.
  • Acting as a liaison between business units and IT teams to ensure seamless integration of data solutions and governance practices
  • Supporting the development and implementation of data management tools, processes, and workflows to enhance data accessibility and usability
  • Providing training and guidance to stakeholders on data governance best practices and data management protocols
  • Contributing to the continuous improvement of data governance and management strategies through regular audits and process reviews

 

WHAT YOU'LL BRING:

Essential Skills & Experience

  • Proven experience (3+ years) in a Business Analyst and/or Data Analyst role with a focus on data governance, data management, or data quality
  • Strong technical understanding of data systems, including databases (e.g., SQL), data modelling, and data integration tools
  • Proficiency in data analysis tools and techniques (e.g., Python, R, Excel, or similar)
  • Experience in developing and implementing data governance frameworks, policies, or standards
  • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into business-friendly language
  • Strong understanding of regulatory compliance requirements related to data (e.g., GDPR, DORA, or industry-specific regulations)
  • Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment
  • Analytical mindset with a proactive approach to problem-solving and process improvement

 

Preferred Skills

  • Experience with data governance tools (e.g., Collibra, Informatica, Solidatus)
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, Google Cloud) & modern data platforms (e.g. Snowflake, Databricks, Azure Data Lake)
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) to present insights effectively
  • Familiarity with Agile methodologies and tools (e.g., Jira, Confluence) and experience working in Agile environments
  • Experience working in financial services or other regulated industries
  • Understanding of machine learning or advanced analytics concepts

 

Qualifications

  • Bachelor’s degree in a relevant field such as Computer Science, Information Systems, Data Science, Business Administration, or equivalent
  • Professional certifications in business analysis (e.g., CBAP, CCBA), data analysis, or data governance (e.g., DAMA CDMP, CISA) are highly desirable
  • Advanced degrees (e.g., Master’s in Data Science, Business Analytics, or related fields) are a plus

 

WHAT YOU’LL GET IN RETURN:

  • An opportunity to be part of a ground-up transformation trajectory that will change the way client customers and the industry will think about what makes a great data provider: and tell this story as we do it!

 

We recognize that to attract the best talent, we need to be flexible and we are open to discussing work arrangements with you. We take hybrid approach to workplace, this role is blended (3 days in office, 2 days WFH).

 

 

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