Barclays
Financial Services
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst at Barclays. Skills: Data Analysis, Data Engineering, Machine Learning. Build and maintenance of data architectures pipelines. Design and implementation of data warehoused and data”
What You'll Achieve.
Improve processes and outcomes
Industry & Context.
Resolve problems; Root cause analysis
What They're Looking For.
Must Have
In-depth technical knowledge and experience, Thorough understanding of underlying principles and concepts, SQL Knowledge, Good Data Analytical Skill
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Build and maintenance of data architectures pipelines
Design and implementation of data warehoused and data
Development of processing and analysis algorithms
Collaboration with data scientist to build and deploy
Perform prescribed activities in a timely manner
Lead and supervise a team
Develop technical expertise in work area
Partner with other functions and business areas
Takes responsibility for end results
Escalate breaches of policies / procedure
Take responsibility for embedding new policies/ procedures
Advise and influence decision making
Take ownership for managing risk
Deliver your work in line with relevant rules
Maintain and continually build an understanding of how
Make evaluative judgements based on the analysis of
Resolve problems by identifying and selecting solutions
Guide and persuade team members
Communicate complex / sensitive information
Act as contact point for stakeholders
Build Strategic Dashboard
Perform Deep Dive Analysis for Stakeholders
Ensure accurate and timely reports
Track performance metrics
Provide insights to improve processes and outcomes
How You'll Work.
Team & Collaboration
Partner with other functions; Work with stakeholders
Communication Scope
Guide and persuade team members; Communicate complex / sensitive information
Full Job Description
# **Job Description** **Purpose of the role** To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. **Accountabilities** * Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. * Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. * Development of processing and analysis algorithms fit for the intended data complexity and volumes. * Collaboration with data scientist to build and deploy machine learning models. **Analyst Expectations** * To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. * Requires in-depth technical knowledge and experience in their assigned area of expertise * Thorough understanding of the underlying principles and concepts within the area of expertise * They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. * Will have an impact on the work of related teams within the area. * Partner with other functions and business areas. * Takes responsibility for end results of a team’s operational processing and activities. * Escalate breaches of policies / procedure appropriately. * Take respon
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