Job Description
Our client, a global leader in the professional services sector, offers innovative and technology-driven solutions across borders, bringing together diverse expertise and industry best practices. Known for its commitment to collaboration and digital integration, our client’s IT and data infrastructure empowers global teams to deliver seamless client service while respecting unique regional needs.
As a Global Data Analyst, you’ll play a pivotal role in integrating and analyzing data across a complex global ecosystem. This position is central to the Global Digital Data Services team, directly impacting data quality and integration in all business systems worldwide. You will be the cornerstone of data analysis, ensuring data integrity and consistency across global platforms, working collaboratively with integration developers, solution designers, and regional leadership. Your contributions will support our client’s vision of a connected global organization, enabling data-driven insights that power their strategic objectives.
Responsibilities:
- Monitor and evaluate integration outputs, communicating impacts effectively with stakeholders.
- Identify, document, and oversee resolutions to data discrepancies alongside integration teams.
- Conduct thorough gap analyses on regional and global data directories to ensure alignment.
- Rapidly address data processing issues with global and regional stakeholders.
- Develop clear, insightful reports that communicate technical findings to a broad audience.
- Translate business requirements into technical specifications for seamless data integration.
- Contribute to the design of data structures that support new and emerging business requirements.
- Maintain up-to-date documentation on key metrics and data structures.
- Provide insights into technology trends, particularly with AI and data systems.
Requirements:
- Strong expertise in global IT infrastructure and data design principles.
- Proficiency in querying REST APIs and converting data for analytical use.
- Advanced SQL knowledge for data querying and management.
- Skilled in Python or R for data manipulation and automation.
- Familiarity with data visualization tools (Tableau, Power BI).
- Experience with relational and non-relational databases (SQL, NoSQL).
- Exposure to C#.NET, Node.js, TypeScript, Vue.js, React, Angular is beneficial.
- Knowledge of cloud solutions like MS Azure, Data Factory, Logic Apps, and Power Apps.
- Exposure to integration tools (IntApp Integrate, Dell Boomi) is preferred.
- Familiarity with financial data processes within professional services is advantageous.
- Knowledge of machine learning and AI concepts.
- Strong analytical and problem-solving skills, with attention to detail.
- Bachelor’s degree in Information Technology, Computer Science, or related field.