Senior Data Analyst (R-17141)

Key Responsibilities:

• Execute a comprehensive data quality monitoring strategy which aligns with the organization's Data Quality Standards and business objectives.
• Develop a strong understanding of Dun & Bradstreet’s inventory data.
• Perform baseline data quality monitoring to proactively identify data quality issues, metrics.
• Employ advanced data analysis and profiling techniques.
• Liaise with business stakeholders to ensure requirements are clear and documented.
• Automate data quality monitoring solutions and internal processes.
• Create or update data models to ensure that data is stored in an organized structure.
• Utilize PowerBI and/or Looker to design, create, connect and administer dashboards which derive insights from data quality monitoring results.
• Implement a robust data validation framework with automated testing processes.
• Communicate with the globally distributed stakeholders using JIRA and Confluence.
• Capture requirements accurately and seek strong understanding of use cases.
• Recommend improvements to data quality team’s internal processes.
• Generate regular reports on data quality metrics.
• Review data to identify patterns or trends that may indicate errors in processing.
• Develop comprehensive documentation of data quality processes, procedures, and findings, and ensure junior members document their work.
• Comply with data governance policies and procedures.
• Remain an expert in industry best practices and technologies related to data quality.
• Provide guidance and mentorship to junior data quality engineers, fostering their growth and development.

Required Traits Include:

• Bachelor's degree in Business Analytics, Computer Science, Information Technology, or a related field.
• 5+ years of experience and demonstrated in-depth knowledge of data analysis, querying languages, data modelling, and the software development life cycle.
• Expertise in SQL (preferably Bigquery).
• Proficient in Python.
• Familiar with Airflow, GCP Composer and Terraform.
• Agile mindset and deep understanding of agile project management (Scrum/Kanban).
• Experience in Database design, modelling, and best practices.
• Experience with cloud computing technologies (preferably GCP).
• Experience with PowerBI, Looker or similar data visualization tool.
• Ability to mentor & provide guidance to less experienced members of the team.
• Analytical, process improvement and problem solving skills.
• Strong communication and the ability to articulate data issues and solutions.
• Commitment to meet deadlines and uphold the release schedule.
• Experience collaborating across time zones as part of a global team.
• Experience with Microsoft Suite, including Excel, Word, Outlook and Teams.