Analytics Solutions Leader
2 weeks ago
About HRsource
We are a leading global consulting firm committed to empowering businesses through data-driven strategies. Our expert team collaborates with clients to design and implement cutting-edge solutions that drive business growth and success.
Job RequirementsWe are seeking an accomplished Data Analytics Manager to lead our data analytics efforts and drive business growth through data-driven insights. As a Data Analytics Manager, you will be responsible for overseeing data projects, developing actionable insights, and enabling informed decision-making across the organization.
Key Responsibilities:
- Oversee technology workstreams within projects, ensuring timely delivery and meeting client expectations.
- Guide teams in strategic planning and execution, facilitating project success and maintaining high standards.
- Analyze structured and unstructured data across business streams, identifying opportunities for improvement.
- Work closely with other members of the Data Team to ensure efficient data ingestion and correct modeling to deliver insights to the business and Technology.
- Ensure data assets are properly defined and maintained within a central data catalogue.
- Take ownership of data issues through to resolution, working with IT and other internal stakeholders.
- Develop and maintain procedures, workflows, and other documentation relating to data management.
- Keep up to date with key industry and technology developments as they relate to data management best practice in the financial services industry.
- Work with the Data Team to translate business requirements into business intelligence visualizations/dashboards that can be easily understood and used.
- Identify and define new data-related process improvement opportunities.
Required Skills:
- Bachelor's or Master's degree in Business Analytics or a related field.
- More than 5 years of experience in data analytics, including data modeling, cleansing, and enrichment.
- Familiarity with ETL/ELT tools and experience navigating data pipelines.
- Experience using scripting languages (e.g., Python, PowerShell) to extract insights from file-based storage.
- Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory).
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