Data Analyst

• Ensure customer data quality control processes are scalable
• Identify opportunities to improve aspects of data processing internally
• Provide visibility into customer data processing pipeline including turnaround times, process effectiveness and potential improvements
• Load and troubleshoot issues with data uploads
• Use tools (e.g. Excel, Looker, Python) to review data accuracy and proper formatting
• Chase down data quality issues to find root cause
• Quickly diagnose answers to data related questions
• Track data lineage and confirming audibility
• Strengthen the data literacy and knowledge of our data product
• Provide input to data dictionary and confirming governance is being followed
• Research publicly available reputable sources for the identified top attributes
• Inform and influence internal stakeholders around data governance processes and work with the Customer Success team to ensure customer data expectations are met as it relates to our data
• Contribute to the definition of quality metrics for attributes
• Find and evaluating new data sources for their potential use and benefit
• Derive valuable insights from data sources
• Research and verify company information via databases and Internet research
• Keep strict confidentiality with customer account information.
• Run and test new crowdsourcing projects on APPEN
• Understand the basics of supplier diversity reporting and sustainability reporting
• Understand diversity rules including self-certification criteria
• Audit diversity data reports and consolidated data reports
• Identify bad data and follow control processes to fix it based on audit results
• Deliver internal and external presentations, working closely with product and technical teams to bring enhancements to life
• Work closely with Customer Success Managers to ensure that customer data (vendor master and spend data) is quality checked before it is put back in front of the customer (across all the insights pages in the tool)
• Leverage internal data (Salesforce, ChurnZero) in conjunction with TealBook data to derive trends and insights
• Monitor adoption and usage trends, work closely with CSMs, Product and Designers to address adoption blockers and ensure customer success
• Identify opportunities and work with CSMs to expand product adoption across their customers’ organizations, building champions every step of the way
• Monitor engagement and trigger alerts when adoption is low or declining
• Summarize data requirements, uses and issues clearly and concisely for internal and external communication
• Perform data and platform testing against requirements defined
• Improve data and reporting integrity, as well as identifying potential new insights

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