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The Data Analyst plays a critical role in the EWS Sales Intelligence & Customer Insights team, identifying Finance and Sales user requirements and delivering technology solutions that effectively address those needs. Fulfilling this mission enables our team to generate meaningful business insights, understand customer behavior, and accelerate business growth. You will be responsible for synthesizing complex data across multiple, disparate systems—such as CRM databases (Salesforce), revenue data warehouses, and transactional operational applications—to derive actionable insights regarding sales pipelines, strategic pricing models, and customer behavior. Operating in an Agile environment, you will architect data pipelines, optimize dashboards, and expand our analytical coverage across multiple Lines of Business (LOBs).
What you'll do:
- Dashboard Solutions & Delivery: Build, design, and enhance 80+ active dashboards serving over 60,000 annual report views. Identify user requirements and build functional mock-ups to conceptualize dashboard designs aligned with technical feasibility.
- Data Pipeline Architecture: Architect ETL pipelines using SQL, Python, and JSON to engineer robust data sources that drive high-performance dashboards, visualizations, and self-service analytics.
- Strategic Insights & Modeling: Perform rigorous analyses on large, complex datasets to provide strategic insights, hypotheses, and margin analysis models to support strategic pricing and product launches.
- Agile Execution & Scrum: Champion Agile methodologies and Scrum frameworks to facilitate the iterative development and rapid deployment of high-impact solutions, utilizing Jira to ensure cross-team collaboration.
- System Expertise & Training: Serve as the team "power user" for all data warehouse and financial systems data. Partner with finance and sales analysts to automate manual workflows and train them on tools to foster self-sufficiency.
What experience you need:
- Education: Bachelor's degree in Information Systems, Computer Science, Finance, or a related STEM major, or equivalent experience.
- General Experience: 5–7 years of experience in business, with at least 2–5 years in a Data Analyst or Business Intelligence role.
- Technical Expertise: 5+ years of expertise in collecting, analyzing, and delivering large, multidimensional datasets using advanced tools (e.g., SQL, Python).
- Data Visualization: 4+ years of proficiency in self-service data visualization tools (e.g., Tableau, Power BI, Looker).
- Agile & Product Management: 4+ years of experience with Agile practices, product development, and work management platforms such as Jira.
- Cloud Data Platforms: 4+ years of experience working with BigQuery or other cloud-based big data platforms.
- Language Skills: B2 English proficiency.
What could set you apart:
- Experience building data pipelines using Composer, Dataproc, or Cloud Dataflow for real-time processing
- Experience in Financial Planning & Analysis (FP&A) or strategic pricing
- Certification in Tableau or Looker
- Experience developing AI/ML solutions or advanced statistical models
Primary Location:
CRI-SabanaFunction:
Function - Data and AnalyticsSchedule:
Full timeSkills Required
- Bachelor's degree in Information Systems, Computer Science, Finance, a related STEM major, or equivalent experience
- 5-7 years of general business experience
- 2-5 years of experience in a Data Analyst or Business Intelligence role
- 5+ years of experience collecting, analyzing, and delivering large, multidimensional datasets
- Advanced SQL and Python expertise
- 4+ years of experience with self-service data visualization tools such as Tableau, Power BI, or Looker
- 4+ years of experience with Agile practices, product development, and Jira or similar work management platforms
- 4+ years of experience with BigQuery or other cloud-based big data platforms
- B2 English proficiency
- Experience building real-time data pipelines using Composer, Dataproc, or Cloud Dataflow
- Experience in FP&A or strategic pricing
- Tableau or Looker certification
- Experience developing AI/ML solutions or advanced statistical models
Equifax Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Equifax Inc. and has not been reviewed or approved by Equifax Inc..
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Retirement Support — Savings programs include a 401(k) with company matching and, in some contexts, profit-sharing or pension components. These are described as solid parts of the total package.
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Parental & Family Support — Programs include paid parental leave for birth and non-birthing parents and adoption assistance. Company materials highlight these benefits as part of a family-supportive offering.
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Flexible Benefits — Multiple medical plan choices, dental and vision options, FSAs/HSAs, and voluntary supplemental coverages enable customization. The company publishes plan summaries and SPDs to help compare cost and coverage by location and tier.
Equifax Inc. Insights
What We Do
At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.
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