This is an intermediate level Enterprise Data Analyst role in Equifax's Global Data Office. This individual will be part of a team focused on delivering innovation and solutions that make it easier for teams to use Equifax data globally. You will work with Global Data Office leaders, and collaborate with business unit, data science, and functional teams, to analyze data and metadata that drives Equifax’s business – with a goal of maximizing its value. Data Analysts on this team will leverage our cloud native data fabric and a variety of other platforms and tools.
To adhere to our corporate location policies, this resource will be required to be local to the surrounding Atlanta areas (or willing to relocate for this position) and adhere to our Return To Office (RTO) / weekly onsite requirements. This is an Atlanta based (Alpharetta or Midtown) based position.
What you’ll do
• Collaborate with stakeholders to understand their data analysis challenges, and work iteratively to prototype analyses and visualizations for review and feedback.
• Analyze large and complex datasets to identify trends, patterns, and insights. Apply statistical methods and data mining techniques to extract meaningful information from data.
• Design and develop interactive and visually appealing data visualizations, dashboards, and reports using data visualization tools ( e.g. , Tableau, Looker, etc). Create intuitive tools to facilitate data exploration and analysis.
• Communicate analyses to promote understanding by different levels of stakeholders.
• Ability to manage multiple projects simultaneously
• Ensure and communicate the accuracy, completeness, reliability, and assumptions and limitations of analyses.
• Adhere to data governance policies, standards, and best practices in the development and deployment of data visualizations. Maintain data security, privacy, and confidentiality in accordance with regulatory requirements and organizational policies.
What experience you need
• BS degree in a STEM major or equivalent discipline
• 2-5 years of data analyst experience
• Experience working with large datasets in a variety of different relational ( e.g. , Oracle) and non-relational structures ( e.g. , JSON, Avro) and data formats
• Experience working with sensitive data, including encryption / tokenization and other methods to anonymize data
• Technical capabilities including Python, BigQuery, SQL, R, MS Excel / Google Sheets, Tableau, Looker
• Experience collaborating with others across diverse technology and business teams throughout a global enterprise
What could set you apart
• Google Cloud certification preferred
• Experience with a management consulting firm
• Experience working with metadata (Informatica, Collibra, Alation, etc.) and work management (Aha!, Jira,etc.) tools
• Cloud (preferably Google) certification and strong experience with cloud and on prem technologies, structured and unstructured data, streaming and reposed data
• Familiarity with data privacy, consumer data protection, credit reporting, and other laws and regulations
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Location: Atlanta, GA (+1 other)
Posted: Aug. 8, 2024, 11:58 p.m.
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