Data Management Analyst

Equifax, Inc.

St. Louis (MO)

On-site

USD 85,000 - 110,000

Full time

6 days ago
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Job summary

Equifax, Inc. in Saint Louis, MO seeks a Data Management Analyst to support data mapping and process synchronization across Salesforce, CDH, OPH, ETM, C2O Portals, Customer Onboarding, and Mulesoft. You will export, analyze, compare, and correct data across systems and report on project status.

You will collaborate with multiple teams, write SQL queries to identify data gaps, and drive data quality improvements using Agile practices, JIRA, and stakeholder engagement.

Qualifications

  • Bachelor's degree or equivalent experience in Equifax Internal processes/applications.
  • 4+ years of experience in master data management and/or data analytics for B2B subject areas.
  • 4+ years of experience managing large datasets and running SQL or other code language tools.
  • 2+ years of experience in Contract to Order system applications.

Responsibilities

  • Champion data stewardship principles.
  • Analyze and understand key business processes as it pertains to data.
  • Monitoring database performance.
  • Performing regular data integrity and quality audits.
  • Reporting / Summarizing the differences / addressing gaps with key stakeholders
  • Creating SQL queries to extract and compare large sets of data in order to identify inaccuracies across multiple systems of record
  • Manage large cross-functional projects in partnership with Sales, Operations, Finance, Marketing, Digital Strategy, Sales Support, Business Technology and Corporate COE's utilizing Agile methodologies
  • Define the execution strategy to meet the defined data business goals for the Salesforce platform
  • Proactively gather and prioritize user data and Data enhancement requests and coordinate weekly, monthly, and quarterly enhancements.
  • Facilitation of managing data loads and data enhancement tickets with our IT partners via JIRA and existing load process and templates
  • Perform data testing for configuration of objects, fields, record types, page layouts, workflow and validation rules in Salesforce with input from business leaders.
  • Participate in development requirements gathering and grooming sessions to represent data impacts including but not limited to data governance, historical data, future data, etc
  • Refining process and establishing new best practices for this work ongoing / documenting any changes to be shared with others within the business unit
  • Influence and ground stakeholders toward achieving program objectives

Skills

SQL
Data analysis
Data governance
Agile

Education

Bachelor's degree or equivalent experience

Tools

Salesforce
SOQL
JIRA

Job description

The Data Management Analyst will be responsible for supporting data and process synchronization across multiple platforms and teams to support ongoing data projects and data migration efforts. This role will be primarily responsible for ensuring data mapping and process gaps for data across several platforms including but not limited to Salesforce, Customer Data Hub (CDH), Oracle Product Hub (OPH), Entitlement Master (ETM), Contract to Order (C2O) Portals, Customer Onboarding, and Mulesoft. This individual contributor has advanced skills in exporting, analyzing, comparing and correcting data across multiple systems. They are an effective planner and communicator who builds, commits and reports out on project status. This individual will learn quickly, get up-to-speed on existing documentation and processes while working to improve upon existing frameworks.

You will excel in this role if you also possess effective communication skills, are forward thinking, have a customer centric mindset with a passion for disruptive solutions, and cultivate stakeholder relationships.

This position does not offer immigration sponsorship (current or future) including F-1 Stem OPT extension support.

What you'll do
  • Champion data stewardship principles.
  • Analyze and understand key business processes as it pertains to data.
  • Monitoring database performance.
  • Performing regular data integrity and quality audits.
  • Reporting / Summarizing the differences / addressing gaps with key stakeholders
  • Creating SQL queries to extract and compare large sets of data in order to identify inaccuracies across multiple systems of record
  • Manage large cross-functional projects in partnership with Sales, Operations, Finance, Marketing, Digital Strategy, Sales Support, Business Technology and Corporate COE's utilizing Agile methodologies
  • Define the execution strategy to meet the defined data business goals for the Salesforce platform
  • Proactively gather and prioritize user data and Data enhancement requests and coordinate weekly, monthly, and quarterly enhancements.
  • Facilitation of managing data loads and data enhancement tickets with our IT partners via JIRA and existing load process and templates
  • Perform data testing for configuration of objects, fields, record types, page layouts, workflow and validation rules in Salesforce with input from business leaders.
  • Participate in development requirements gathering and grooming sessions to represent data impacts including but not limited to data governance, historical data, future data, etc
  • Refining process and establishing new best practices for this work ongoing / documenting any changes to be shared with others within the business unit
  • Influence and ground stakeholders toward achieving program objectives
What experience you need
  • Bachelor's degree or equivalent experience in Equifax Internal processes/applications
  • 4+ years of experience in master data management and/or data analytics for B2B subject areas
  • 4+ years of experience managing large datasets and running SQL or other code language tools
  • 2+ years of experience in Contract to Order system applications
What could set you apart
  • Professional Certification in Master Data Management
  • Advance proficiency in SOQL applications
  • Certification in SalesForce
  • Proven Stakeholder Relationship Management experienceExperience utilizing AI as a force multiplier for data analysis
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