Senior Data Management Analyst

LexisNexis Risk Solutions; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in data infrastructure and analytics is seeking a Senior Data Management Analyst to enhance data governance and quality. This role involves collaborating with various teams to manage core reference and master data, ensuring compliance and integrity. Ideal candidates will have strong problem-solving skills and a background in data management, along with excellent communication abilities. Join a dynamic team focused on innovation and customer outcomes in a supportive culture.

Qualifications

• Significant experience with Data Management, Data Governance or Data Quality.
• Capable of providing coaching and support to transfer technical & data knowledge.

Responsibilities

• Work collaboratively to enforce data policies and standards.
• Oversee maintenance of RDM/MDM processes to ensure data integrity.
• Educate users on data management policies and best practices.

Skills

Detail oriented

Problem-solving

Communication

Team player

Inquisitive

Education

Data Management

Data Governance

Data Quality

Tools

MS Office Suite

Excel

Visio

Job description

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About the Business: At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link below. https://www.icis.com/explore

About the Team: Our teams are fueled by curiosity, relentlessly pursuing better customer outcomes. We're on a mission to deliver an unparalleled customer experience, excelling in communication. In a fast-paced environment, we thrive, embracing change with flexibility and composure under pressure. Our high-energy, self-motivated individuals are driven by a genuine desire to make a positive mark on our business. But that's not all we're creative problem solvers with an entrepreneurial spirit.

About the Role: We have an outstanding opportunity available for a data management analyst within our data operations team. This role will collaborate with stakeholders across business units to help analyse, improve and maintain our core reference and master data which helps connect the markets to our customers.

This is an outstanding career opportunity within a dynamic market-leading global business. We have a supportive culture with a keen focus on innovation, technical excellence, career development and mutual support.

Key Responsibilities

• Data Policies and Standards: Work collaboratively with various teams to enforce data policies, standards, and procedures, ensuring proper governance of data usage, access, and handling throughout the organization for reference\master data.
• Data Stewardship: Collaborate with data stewards\owners responsible for making decisions on data including definition, standards, and other items through the data management group>
• Data Management (RDM\MDM): Oversee the maintenance of RDM\MDM processes to ensure data integrity, quality, and compliance with governance policies. Maintain detailed data documentation, including data dictionaries, policies, lineage, and flow diagrams. Product owner of the data management platform and work with the technology to improve\upgrade the core capability when needed.
• Support Key Data Initiatives: Drive and support key initiatives across all areas including AI Lead data governance projects and initiatives, ensuring alignment with key Data Governance principles through guidance and oversight.
• Data Training Delivery and Ownership:Educate and guide users on data management policies and best practices. Recommend and implement changes to core processes to enhance data management and reduce risks.
  
  

Requirements

• A team player who works collaboratively
• Demonstrated success in managing multiple deliverables concurrently and prioritising effectively
• Detail orientated with strong problem-solving skills and innovative thinking
• Experience in partnering with a diverse team in multiple locations
• Capable of providing coaching and support to transfer technical & data knowledge
• Demonstrate significant experience with Data Management, Data Governance or Data Quality
• Intermediate MS Office Suite skills including Excel, Power Point, Visio
• Some knowledge of relational databases, and familiarity with analysis techniques
• Excellent communication skills with ability to influence at all levels within business. Ability to communicate technical matters in non-technical business terms
• Aptitude for technology, inquisitive, self-motivation in learning and exploring applications
• Willingness to challenge internal opinions based on data
• Interest in data analysis, databases and software development
  
  

Learn more about the LexisNexis Risk team and how we work here

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK .

Please read our Candidate Privacy Policy.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics

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