Data & Analytics - Lead Consultant
6 months ago
Can be remote based
Rate: £450pd - £550pd Outside IR35 - 3 Months +
Great opportunity working for an innovative B2B SaaS company who are growing. We’re looking for an experienced Data & Analytics Leader who can be pivotal in developing strategies to ensure the successful implementation, integration and support of their data services to their customers.
Key Responsibilities:
- Team Leadership - Build, lead, and mentor a high performing Professional Services team with multiple different data disciplines. This will involve direct employees and contractors where appropriate. Set goals, develop KPI’s and ensure the teams objectives align with the company’s growth strategy
- Project Management - Oversee the execution of multiple customer projects across different data disciplines, ensuring that they are delivered on time, within scope and budget. Where the professional services are linked to a SaaS deployment, ensure there is a smooth handoff process
- Customer Relationship Management - Build strong, long-term relationships with key customer and act as a trusted advisor
- Communication and Reporting - Ensure clear communication with customers, both in terms of support and project updates. Provide regular updates and reports to the Exco on professional service metrics and KPI’s
Key skills & Experience required:
- Experience in some or all of the following technologies: Azure Data Factory, Azure Data Lake Storage, Databricks, Amazon Redshift, AWS Glue, AWS Data Pipeline, Snowflake, SQL & NoSQL Databases, FiveTran, Azure Machine Learning, AWS SageMaker, Jupyter, Python, SQL, R, IAM (Identity & Access Management): Both in Azure and AWS, Key Management Service (KMS): For encryption key management, SSL/TLS, HTTPS: For secure data transmission.
- Proven experience in managing a department/team in consultancy, project management or professional services in a data driven environment
- Deep understanding of the data and analytics industry, including knowledge of data tools, technologies and methodologies
- Proficiency in data analytics, data science, data modelling and visualisation
- Exceptional strategic thinking, problem solving and the ability to develop data driven solutions to address complex customer challenges
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