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The Senior Data Analyst, Analytics & ML is typically responsible for:
Defining and developing logical data assets
Data analysis in the primary sources for completeness, accuracy
Data analysis of cross-systems linkages, consistency and timing alignments
Data analysis of the transformation logic where required
Data analysis of the data required for the model build by GRA
Developing transformation logic for application models, strategies, affordability and other calculations required in the lending journey
Provide support on all areas covering trouble shooting and root cause assessment on data issues
Consult with stakeholders to determine business problems, data requirements and to support decision making
Develop and apply machine learning / NLP and other advanced analytics to portfolio data to support business processes, insights and decision making specifically in the areas of data remediation and improve data quality, completeness and consistency.
Generation of data assets and analytics to support business activities, financial projects, product planning, sales activities, performance measurement, regulatory requests and decision making
Work closely with the CDO communities across Wholesale, Risk, Finance and FCR to ensure the unified data model is fit for purpose for the WCL data demands
Customers / Stakeholders
Primary customers are:
Business lines – GBM & CMB
Functional Teams – e.g. Risk, Group Finance
Operational support teams
Group & Regional teams
Other Risk sub-functions – global and regional
The role holder will work with senior management and programme sponsors to recommend approaches to based on data insights and translate complex data insights into actionable intelligence.
Other stakeholders on projects will include (as demanded by specific project need):
CDAO
Other IT delivery functions
Other Transformation functions
Regulatory authorities
Other service delivery functions
Data service providers
Software, data and service vendors
The role holder will interact equally with senior stakeholder groups and line staff as necessary. Governance should be in accordance with Group standards policy and procedures.
Leadership & Teamwork
Promotes a collaborative environment amongst the team with focus on development
Driving and encouraging constructive cross-country and cross-business teamwork through collaboration and matrix management
Trusted by colleagues and costumers to make balanced, fair decisions
Proven ability to motivate people to go above & beyond
Contribute to an environment of continuous performance improvement.
Building an inclusive culture where diversity of thought and different perspectives are equally valued
Major Challenges
To be flexible and adaptable in an environment of constantly changing priorities, challenging bureaucracy and staying true to the values and strategy of the Group. Drive embedding of new ways of working
Working across multiple markets and business/functions with multiple delivery and business partner teams
Defining the approach and dealing with complex requirements and unique projects – often one off initiatives
Management and control of projects to meet exacting timescales
Achieve sustainable saves and measurable improvements across the programme as set out in the business case
The systems and processes involved are often highly technical in nature or require specialist knowledge to fully understand and effectively support the change programme
Knowledge & Experience / Qualifications(For the role – not the role holder)
Knowledge & Experience
Some understanding of some of C&L operations and key systems
Relationships with some C&L, Risk, GB/CMB stakeholders or can demonstrates experience from other organisation is beneficial.
Leadership experience and experience in developing and coaching others
Has experienced working on change programmes and leading projects / programmes
Capabilities
Advances analytical insight
Drives and embeds the use of integrated risk and control analytic content and capabilities within business process applications
Prioritises the information presented to stakeholders to ensure maximum clarity and impact
Analytics creation
Create meaningful insights from data even when sources are highly complex, disparate and incomplete
Develops advanced analytics for portfolio data to support business processes, insights and decision making
Qualifications and Accreditations
Agile experience
Evidence of self-development across a number of disciplines
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