Data Quality and Governance Analyst 2

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Job Title – Data Quality and Governance Analyst 2 (P2)

Location – Bangalore, Karnataka

Department – Data Quality and Assurance, JLLT CoE

Reports To - Data Governance Manager  

What this job involves:

About the role

#JLLTechAmbitions

The Data Quality Analyst will be responsible for ensuring the quality, accuracy, and integrity of data within our real estate databases. This role includes performing data validation, deduplication, and remediation activities. The ideal candidate will possess a solid understanding of critical data elements and will conduct comprehensive research and validation using authoritative sources like the company website and D&B Hoovers. They will also be responsible for analysing and updating the relationships between primary and subsidiary companies, ensuring accurate and actionable data for business stakeholders. The ideal candidate will possess an advanced understanding of critical data elements, engage in complex data analysis, support strategic projects aimed at data governance improvements and mentoring junior analysts.

Responsibilities

Advanced Data Validation

• Lead validation efforts for critical company information including names, addresses, websites, and other key attributes.
•  Guide junior analysts in using authoritative sources such as company websites and D&B Hoovers to ensure data accuracy.
• Establish standards for data validation and ensure these standards are met consistently across projects.
• Lead initiatives to enrich missing data attributes with verified information, aiming for continuous data improvement.

Data Deduplication and Quality Control

• Supervise deduplication efforts, implementing advanced data analysis and fuzzy matching techniques to detect potential duplicate companies.
• Develop and refine automated and manual deduplication processes for optimal data integrity.
• Monitor data quality metrics, conduct root cause analyses of data discrepancies, and provide corrective actions.

Data Remediation and Issue Resolution

• Oversee the remediation of data discrepancies by collaborating with internal stakeholders and resolving issues effectively.
• Mentor junior team members in updating and correcting erroneous data points, including addresses, company names, and business identifiers.
• Ensure the consistent and accurate maintenance of records, aligning with business standards and governance policies.

Relationship Management and Hierarchy Establishment

• Lead efforts to analyse and establish primary-subsidiary relationships within the company database.
• Develop and maintain a clear hierarchy of parent-child companies, ensuring comprehensive reporting and analysis capabilities.
• Collaborate across teams to ensure accurate linking and maintenance of subsidiary data.

Strategic Reporting & Documentation

• Document validation and deduplication outcomes, providing comprehensive reports on changes and rationales.
• Prepare in-depth data quality reports on metrics, trends, and corrective actions, offering insights for continuous improvement.
• Track and report on key performance indicators (KPIs) for data quality, driving transparency in data governance.

Cross-functional Collaboration & Communication

• Partner with data stewards, analysts, and stakeholders to capture data requirements and align quality initiatives with business goals.
• Lead discussions with stakeholders regarding data quality issues, proposing robust remediation strategies.
• Collaborate with IT teams to implement tools and enhancements that support data quality improvements across the organization.

Data Validation

Perform validation of company information including names, addresses, websites, and other key attributes. Utilize company websites, D&B Hoovers, and other reliable sources to verify the accuracy of data. Ensure critical data elements meet quality standards before they are used by stakeholders. Validate and enrich missing data attributes with verified information.

Data Deduplication

Conduct data analysis to identify and eliminate duplicate company records in the database. Use fuzzy matching techniques to detect potential duplicate companies and assess their validity. Implement automated and manual deduplication processes to maintain a clean and reliable database.

Data Remediation

• Investigate data discrepancies and work with internal stakeholders to resolve issues.
• Update and correct erroneous data points, including incorrect addresses, company names, and business      identifiers.
• Ensure records are accurately maintained and are consistently monitored for compliance with business standards.

Relationship Management

• Analyse and establish primary-subsidiary relationships between companies.
• Maintain a clear hierarchy of parent-child companies to enable accurate reporting and data analysis.
• Liaise with other teams to ensure that subsidiary data is linked correctly and maintained regularly.

Reporting & Documentation

• Design, develop, and maintain reporting systems and dashboards.
• Create and update documentation for processes, procedures, and systems.
• Collect, analyse, and interpret data from multiple sources.
• Prepare regular and ad-hoc reports for various stakeholders.
• Ensure accuracy and consistency of all reports and documentation.
• Collaborate with different departments to understand their reporting needs.
• Develop and implement documentation standards and best practices.
• Train staff on proper documentation techniques and reporting procedures.
• Maintain a centralized repository for all reports and documentation.
• Continuously improve reporting processes and documentation quality
• Ensure compliance with relevant regulations and internal policies.
• Assist in audit preparations by providing necessary reports and documentation.

Collaboration & Communication

• Collaborate with data stewards, analysts, and stakeholders to gather data requirements and align quality initiatives with business needs.
• Participate in meetings with stakeholders to discuss data quality issues and propose remediation strategies.
• Work with IT teams to implement tools and processes that facilitate data quality improvements.

Leadership Skills

• Communication: Clear and effective verbal and written communication.
• Vision: Ability to create and articulate a compelling vision for the future.
• Decision-making: Making timely and informed decisions.
• Integrity: Demonstrating strong ethical principles and honesty.
• Emotional intelligence: Understanding and managing one's own emotions and those of others.
• Adaptability: Flexibility in the face of change and uncertainty.
• Strategic thinking: Long-term planning and foresight.
• Delegation: Assigning tasks effectively and empowering team members.
• Motivation: Inspiring and encouraging team members to perform at their best.
• Problem-solving: Identifying issues and developing effective solutions.
• Conflict resolution: Addressing and resolving disputes constructively.
• Team building: Creating cohesive and high-performing teams.
• Coaching and mentoring: Developing the skills and abilities of others.
• Accountability: Taking responsibility for actions and outcomes.
• Time management: Efficiently organizing and prioritizing tasks.
• Creativity: Fostering innovation and new ideas.
• Resilience: Bouncing back from setbacks and maintaining a positive attitude.
• Cultural awareness: Understanding and respecting diversity in the workplace.
• Negotiation: Finding mutually beneficial solutions in various situations.
• Continuous learning: Commitment to personal and professional growth.

Stakeholder Management

• Identify and map key stakeholders for various projects and initiatives.
• Develop and implement stakeholder engagement strategies.
• Facilitate communication between stakeholders and project teams.
• Manage stakeholder expectations and resolve conflicts.
• Monitor and report on stakeholder sentiment and engagement levels.
• Organize and conduct stakeholder meetings and workshops.
• Collaborate with cross-functional teams to ensure stakeholder needs are addressed.
• Develop and maintain stakeholder databases and communication channels.
• Prepare and present stakeholder analysis reports to senior management.
• Continuously improve stakeholder management processes and best practices

Sounds like you? To apply you need to be:

Qualifications:

Bachelor’s/Master’s degree in information systems, Business, Data Science, or related field.

Experience:

Seeking a Senior Analyst with 9+ years of experience in data stewardship, with expertise in handling company duplicates, missing and invalid data, company hierarchy maintenance (parent-subsidiary relationships), and validation of company, contact, and property data using sources such as company websites, Google, and third-party vendors like D&B Hoovers. The ideal candidate should be able to quickly understand complex data, adapt to the real estate industry if not already experienced, and effectively interpret and document stakeholder requirements into Standard Operating Procedures (SOPs) and business requirement documents (BRD). Additionally, they should have strong stakeholder management skills, ensuring clear communication of data processes through well-defined Key Performance Indicators (KPIs). The candidate should also possess experience in risk management, ensuring compliance with data policies while handling escalations and resolving issues related to data accuracy, governance, and process integrity.

Technical Skills

• Proficiency in data analysis tools such as Advanced Microsoft Excel, VBA, Power Query, SQL, Python, Data bricks or similar.
• Knowledge on data visualization tools (e.g., Tableau, Power BI)
• Familiarity with data validation tools and techniques, especially for business entities (e.g., D&B Hoovers).
• Experience with CRM and/or data governance tools is a plus.

Knowledge

• Strong understanding of critical data elements and data quality principles.
• Experience in validating company information from external sources.
• Knowledge of primary-subsidiary company relationships and organizational hierarchies.

Soft Skills

• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal, for interacting with stakeholders.
• Ability to work independently and prioritize tasks in a fast-paced environment.

Preferred Skills:

• Experience in the real estate industry or a similar domain.
• Familiarity with data governance frameworks and processes.
• Experience working in a data stewardship role.

Why Join Us:

• Be part of an innovative and fast-growing real estate company.
• Opportunity to work with a dynamic data governance team and drive impactful changes in data quality.
• Competitive salary and benefits package.
• A supportive and inclusive work culture that fosters professional growth and development.

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains.  We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World’s Most Ethical Companies for the 12th consecutive year.

Apply today!

Location:

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may contact us at Accommodation Requests. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.