Client Engagement: Serve as the primary point of contact for clients, gathering business requirements, managing stakeholder expectations, and ensuring project objectives align with their business needs.
Data Strategy and Solutions Development: Lead the development of data strategies and analytics solutions that drive business value. This includes data governance, data architecture, and analytics frameworks tailored to each customer.
Project Management: Oversee the full lifecycle of data projects, from requirements gathering to implementation and delivery, working with the Spark Delivery Management team to ensure that projects are completed on time and within scope.
Stakeholder Management: Collaborate with senior-level stakeholders, both internal and external, to understand their objectives, provide insights, and influence decision-making through data-driven recommendations.
Data Analytics and Reporting: Deliver actionable insights and performance reports by utilising data analytics tools and techniques. Provide data models, risk assessments, and other key metrics for our customers.
Regulatory Compliance: Design and recommend data solutions that comply with relevant industry regulations and standards, including GDPR, Basel III, and other sector-specific data governance rules.
Mentorship and Leadership: Mentor junior consultants and data analysts, providing guidance and expertise to help develop their skills and knowledge in data analysis.
Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, or related field. A Master's degree is a plus.
Experience:
7+ years of experience in data consulting, analytics, or business intelligence, with a preference for experience in working with finance functions.
Strong background in managing client relationships and working directly with senior stakeholders.
Proven track record of successfully estimating and delivering complex data solutions in a consulting or professional services environment.
Experience in monitoring and troubleshooting data pipelines and workflows to ensure data quality and system reliability
Ability to document data workflows, architectures, and best practices to ensure knowledge sharing and continuous improvement.
Technical Skills:
Extensive experience with cloud platforms like AWS (essential) or Azure (desirable) for data storage and analytics, including the hands on use of tools such as Workato, DBT and Snowflake.
Manage and optimise Redshift clusters, ensuring high availability and performance of data warehousing solutions
Utilise Apache Airflow for orchestrating complex data workflows and ensure smooth and timely execution of data pipelines.
Ability to design, develop, and maintain scalable data pipelines and ETL processes using AWS Glue, Glue Crawlers, and Glue Data Catalog
Strong expertise in data analytics and visualisation tools such as SQL, Python, R, Power BI, Tableau, or similar.
Experience in utilising Oracle Netsuite is not mandatory but preferred
Experience in working closely with and directing technical teams in the achievement of client project objectives.
Soft Skills:
Excellent communication and presentation skills, with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders.
Strong problem-solving skills and the ability to manage multiple priorities in a fast-paced environment.
Demonstrated team leadership and mentorship capabilities.