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Data and Analytics Analyst
NatWest Group. Consult with stakeholders to understand needs and identify suitable data and analytics solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced analytics, data architecture, and data visualization to deliver impactful business solutions. Proficient in translating complex data insights into actionable strategies for stakeholders while utilizing Agile methodologies.
Highest-signal resume keywords
SQLData VisualizationData ArchitecturePythonAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData VisualizationData ArchitecturePythonData Management PrinciplesAdvanced AnalyticsData ScienceData EngineeringCritical ThinkingProblem-Solving
Soft Skills
CommunicationStakeholder Engagement
Tools & Technologies
SnowflakeAWSQuickSightTableauPower BIGitLabGitHubApache Airflow
Industry Keywords
Data AnalyticsBusiness SolutionsData InsightsAgileData Orchestration
Tech Stack
Tools & technologiesAirflowApacheAWSPythonSQLTableau
About the role
Key responsibilities & impact- Consult with stakeholders to understand needs and identify suitable data and analytics solutions
- Develop business solutions using advanced analytics to increase understanding of customers, processes, channels and products
- Define business questions, problems and opportunities supported by advanced analytics
- Design efficient, simple and automated processes where possible
- Work in an Agile way within multi-disciplinary data and analytics teams
- Coordinate resources across the team and business to achieve project and scrum outcomes
- Deliver data and analytics expertise and solutions that create commercial and customer value
- Communicate analytics opportunities so stakeholders can select the best approach
- Use new tools, technologies and methodologies for advanced analytics
- Share updates linking advanced analytics, data science and data engineering work to business needs
- Create meaningful data visualisations for key stakeholders
Requirements
What you’ll need- Understanding of data architecture, analytics tooling and relevant coding languages
- Experience of SQL, ideally gained using Snowflake and AWS
- Knowledge of data management principles and data architecture
- Experience creating impactful data visualisations and insights using QuickSight, Tableau or Power BI
- Critical thinking and problem-solving skills
- Experience translating complex data and analytics into clear, compelling messages for a range of stakeholders
- Understanding of data engineering, data science and decisioning disciplines
- Experience using GitLab or GitHub
- Knowledge of Python and orchestration tools such as Apache Airflow would be advantageous
Benefits
Comp & perks- Remote First working arrangement