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Proactive Efforts to Ensure Customer Data Consistency - Automated data cleanup processes to prevent customer issues from happening, plus activities to ensure critical data is accurate and available (
Resolution of High Priority Issues - Risk Management
Root Source Foundational Analysis - Identification of core improvement areas needed to effectively scale our customer data model
Key Business Initiative Support
In this role, you will:
Identify optimal approaches for resolving data quality or consistency issues to achieve set goals
Help diagnose sources of data quality issues by performing root cause analysis
Monitor and measure ongoing data fidelity (quality and consistency) as well as progress of key data quality initiatives and report progress regularly to data governance business functions
Perform tactical high priority clean up activities when they arise (i.e. priority 3rd party data matching, account merging, customer data checks)
Support an inbound queue of Data Quality requests that span across multiple tools and systems such as Salesforce, Netsuite and internal applications
Partner with internal IT and business teams to resolve data quality issues when they arise and take actions such as:
Identify system gaps and articulate business requirements where necessary
Perform UAT functions
Ongoing analysis and maintenance of key system processes (i.e. Lead to Account matching, Platform <-> SFDC mapping, etc.)
The skills you’ll bring include:
2-3 years experience performing analysis on large datasets - identifying consistency issues, trends, and assessing overall accuracy and quality to help drive appropriate business action
Technical knowledge of core business systems such as Excel, Salesforce, Netsuite
Ability to work effectively with 3rd party data tools and services such as D&B, LinkedIn Sales Insights, and optimize their integration with core systems
Ability to understand integration tools such as Workato, Syncari and partner closely with internal teams on optimizing data flows between systems
Collaborative team player who has the ability to partner cross functionally to resolve data quality issues and create customer outcomes
Strong problem solving skills with an analytical approach
Customer centric approach, puts the customer needs at the forefront of all decision making
Nice to haves:
Experience with reporting tools such as Salesforce reporting and Tableau
Knowledge or ability to use data cleansing tools such as Cloudingo or Syncari to execute ‘mass-actions’ on data (i.e. auto merging, data enrichment, archiving processes)
Ability to use SQL or other programming languages to create and deploy solutions to automate recurring data quality tasks and functions
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