Data Analyst

Barclays•Jefferson, CO

1d•$90,000 - $120,000•Onsite

About The Position

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. 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 responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Embark on a transformative journey as a Data Analyst. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. This role enables data-driven decision-making across USCB by translating complex data into clear, actionable insights, while advancing cloud migration, data product development, and AI adoption. It also bridges business and data functions through stakeholder management, communication, and governance to ensure alignment, transparency, and effective execution.

Requirements

Exposure in marketing domain, including campaigns, customer segmentation, and loyalty economics.
Advanced analytics using SQL, Python, and Power BI to drive targeted, insight-led decisions.
Experience with GenAI and prompt engineering to accelerate insight generation, develop interactive dashboards, and enable AI-driven analytics workflows across cloud platforms such as AWS and Databricks.
Proven ability to design and deliver business intelligence and visualization solutions using tools such as Power BI and Tableau.
Leveraging platforms like Confluence, SharePoint, and Copilot for collaboration and knowledge management.
Ample communication skills and the ability to translate complex analytics into clear, executive-ready summaries that support informed decision-making.
Proven storytelling capability, with the ability to craft insight-driven narratives that effectively connect analytical outputs to measurable business outcomes.
Risk and controls knowledge.
Change and transformation understanding.
Business acumen.
Strategic thinking.
Digital and technology skills.
Job-specific technical skills.

Nice To Haves

Exposure to AI/ML-driven marketing and customer analytics, including campaign optimization, customer lifetime value, churn, and segmentation.
Technical skills in SQL, Python or PySpark, and Tableau.
Familiarity with data governance and catalog tools.

Responsibilities

Investigate and analyze data issues related to quality, lineage, controls, and authoritative source identification.
Document data sources, methodologies, and quality findings with recommendations for improvement.
Design and build 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.
Translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Design and create interactive dashboards and visual reports using applicable tools.
Automate reporting processes for regular and ad-hoc stakeholder needs.
Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources (if applicable).
Develop technical expertise in work area, acting as an advisor where appropriate (for individual contributors).
Partner with other functions and business areas.
Take responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members and communicate complex / sensitive information.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.