Analytics Solutions Leader

2 weeks ago


Dubai, Dubai, United Arab Emirates HRsource Full time

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 Requirements

We 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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