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A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. To support the bank's decision-making processes by providing timely, accurate, and insightful information through designing, developing, and maintaining management reports and dashboards that effectively communicate key performance indicators (KPIs) and trends across various business units.
Job Responsibility:
Shape and execute a clear vision and roadmap for data products, synchronising with the CDAO’s overarching data strategy
Engage stakeholders to understand their data needs, pain points, and value opportunities, translating these into actionable product requirements
Champion data governance, quality, and compliance to uphold trusted data practices across the product lifecycle
Lead cross-functional teams, facilitating collaboration between business, engineering, analytics, and IT to deliver impactful solutions
Monitor product performance, using data insights to drive ongoing enhancements and achieve measurable business outcomes
Stay current with emerging data and analytics technologies, integrating relevant innovations into the product ecosystem
Design and development of comprehensive reports and dashboards using various data visualization tools and techniques
Design, development and implementation of automated report generation processes for improved efficiency and timeliness
Identification and analysis of business requirements to define report content and format
Maintenance and updating of existing reports and dashboards to reflect changing business needs, including co-ordination of reporting template releases and related administrative tasks
Development of robust processes & controls for collating input data & seeking signoffs as required
Engagement with stakeholders as needed to ensure up to date data is incorporated into reporting
Requirements:
Extensive experience in product management within data, analytics, or digital transformation environments
Strong grasp of modern data architectures, data governance frameworks, and regulatory considerations
Experience with AWS services such as S3, Glue, Lambda, Step Functions, EMR, DynamoDB, Redshift, CloudWatch, and IAM
Strong hands-on familiarity with Databricks, including Delta Lake, Unity Catalog, MLflow, data engineering workflows, and SQL/PySpark based analytics
Proven capability in requirements gathering, analysis, story writing, backlog management, and acceptance criteria definition
Expertise influencing and leading delivery squads, steering agile ceremonies, and resolving prioritisation or design challenges
Analytical mindset with expertise in interpreting data to inform product development and strategic decision-making
Excellent communication and stakeholder management abilities, adept at conveying complex data concepts for diverse audiences
What we offer:
Hybrid working
Structured approach to hybrid working with fixed 'anchor' days
Wellness Suite including a well-equipped gym and exercise studios