Barclays
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst at Barclays. Skills: Data Analysis, SQL, Data Pipelines, Machine Learning. Investigate data issues. Analyze data issues”
What You'll Achieve.
Enable data-driven decision making; Deliver on work impacting business function; Achieve required outcomes; Support resolution of escalated issues; Strengthen controls; Achieve objectives of organisation sub-function; Keep up to speed with business activity; Keep up to speed with business strategy; Support successful delivery of projects
Industry & Context.
Extract actionable insights; Perform statistical analytics; Perform advanced analytics; Identify opportunities; Critical thinking; pattern recognition; Solve problems effectively
What They're Looking For.
Must Have
Advanced SQL skills, querying large datasets, optimizing large datasets, Snowflake, BFSI domain, data warehouse experience
Nice to Have
Domain knowledge on Regulatory deliveries, Cloud Technologies, AWS, Databricks, Big data tools, Hue, Hadoop, Critical thinking, pattern recognition
What You'll Do.
Investigate data issues
Document data sources
Design data pipelines
Automate data movement
Automate data processing
Apply advanced analytical techniques
Leverage machine learning
Create visual reports
Automate reporting processes
How You'll Work.
Team & Collaboration
Collaborate closely with other functions; Collaborate with business divisions; Lead collaborative assignments; Guide team members; Consult on complex providing advice; Collaborate with other areas; Engage in complex analysis
Communication Scope
Communicate complex information; Influence or convince stakeholders
Full Job Description
# **Job Description** **Purpose of the role** To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. **Accountabilities** * Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. * Designing and building data pipelines to automate data movement and processing. * Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. * Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements. * Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs. **Assistant Vice President Expectations** * To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. * Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes * 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 consisten
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