Global Data Analyst

The Global Data Analyst is a crucial member of the Global Digital Data Services group, playing a pivotal role in leading the integration of data across all global business systems. Dentons’ data is complex and requires deep understanding of sources and integrations into various repositories. This role involves monitoring integration to detect issues with data, performing analysis of feedback arising from users worldwide, and ensuring data quality is consistently reflected across all global systems and downstream platforms. Close collaboration with integration developers, solution designers, database administrators, and global/regional leadership teams is essential to effectively analyze data issues and maintain quality data. Success in this position can only be achieved by building a culture of collaboration across the team, with colleagues throughout GBT, and fostering positive relationships with local technology teams.

Key Accountabilities

•       Assume the responsibility for analyzing output of integration rules and communicating impact to

•       stakeholders.

•       Identify problems to be solved by integration developers and monitor completion.

•       Perform analysis on regional and global data directories and perform gap analysis.

•       Monitor and troubleshoot processing issues and misaligned data reported by users and work with regional

•       and global stakeholders to ensure they are solved quickly and efficiently.

•       Translate user requirements into technical queries.

•       Help identify and document technical requirements for global software initiatives, ensuring the existing

•       data set is compatible with these requirements.

•       Participate in data related discussions with Dentons partners and provide technical guidance for

•       compliance with Dentons' data requirements.

•       Collaborate with other team members in the development of data structure requirements for new business

•       needs.

•       Establish and maintain well-documented descriptions of the firm’s key metrics.

•       Develop and update documents for data operations.

•       Provide insights into developing technology trends, particularly in data systems, with the integration of AI.

Technical Expertise

•       Deep understanding of global IT infrastructure and data design principles.

•       Strong business analyst skills are required for this role.

•       Solid experience querying REST APIs and converting results into tabular formats for analysis.

•       Solid experience writing complex SQL queries.

•       ETL/BI layer analysis experience is desirable.

•       Knowledge and experience using systems using both relational and non-relational (NoSQL) databases.

•       Experience using C#.NET, Node JS, TypeScript, Vue.js, React, Angular is an asset.

•       Experience with MS Azure, Data Factory, Logic Apps, Power Apps (preferred).

•       Experience with IntApp Integrate, Dell Boomi (preferred).

•       Extended knowledge of technical aspects behind data extraction and integration, including database queries and API use.

•       Understanding of financial data processes in a professional services firm is desirable.

•       Extensive experience analyzing and comparing data coming from disparate data.

•       Attention to detail for managing complex data challenges.

•       Understanding of machine learning and AI concepts.

•       Experience with DevOps is an asset.

Personal Skills / Attributes

•       Excellent English written and verbal communication skills.

•       Highly self-motivated and directed, with keen attention to detail.

•       Passion and natural curiosity to learn about and experiment with new tools and techniques.

•       Ability to work well within a remote, multicultural team environment, collaborating with others to develop

•       and challenge ideas.

•       Excellent customer/client-facing skills.

•       Positive attitude and ability to interact positively at all levels within the firm.

•       Ability to understand business needs and translate them into technical solutions.

•       Demonstrated initiative and proactive anticipation of needs.

•       Understanding the value of data and ability to increase value through initiative and proposition.

•       Strong problem-solving and analytical skills, thinking outside the box.

•       Methodical approach to work with a focus on accuracy, attention to detail, consistency, and quality.

•       Appreciation of documentation and well-defined procedures.

•       Ability to work under pressure to tight project deadlines, adapting to differing demands, prioritizing tasks

•       appropriately, and ensuring complete 'follow-through' on operational issues.

•       Ability to be an ambassador for Dentons and maintain a professional outlook, attitude, and appearance.

Education, Experience and Certifications

•       Bachelor’s degree (or equivalent) in Information Technology, Computer Science, or a related field.

•       Exceptional analytical and problem-solving acumen.

•       Strong interpersonal and communication skills.

Language Capabilities / International Experience

We are a truly global law firm and as such, always welcome individuals with foreign language capabilities.

Additionally, we welcome individuals with a global background including professional experience gained across different geographies

Disclaimer: Please ensure when applying for this role that you are legally eligible to work/live in your preferred location. Visa sponsorship or relocation costs will not be provided

Diversity & Inclusion

Essential to our success as a global law firm is our ability to attract and retain the best talent from a diverse range of backgrounds. We want a work environment where everyone can reach their potential and we have an inclusive culture which respects individual differences.

Equal Opportunities

Dentons is committed to providing equal opportunities for all.

Reward and Recognition

Remuneration and benefits package will reflect the successful candidates experience and country where hired.