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Data Analyst

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Equifax

17d ago

  • Job
    Full-time
    Senior Level
  • Data
  • Alpharetta

AI generated summary

  • You need a BS in STEM, 5-7 years as a data analyst/engineer, SQL expertise, Python skills, data modeling, big data experience (GCP, AWS), BI, visualization, CI/CD, and credit risk background.
  • You will build data pipelines, optimize SQL and Python code, analyze complex datasets, implement quality checks, and present insights to enhance solutions and processes.

Requirements

  • BS degree in a STEM major or equivalent discipline
  • 5-7 years of experience in a related role as data analyst or data engineer
  • Extensive experience in SQL is a must, as well as strong working knowledge of Python
  • Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance
  • Master’s degree in a related field is a strong plus
  • Background in credit risk, financial data analytics or risk modeling
  • Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
  • Experience in Business Intelligence, data visualization, and customer insights generation
  • Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
  • Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
  • Demonstrates advanced Git usage and CI/CD integration skills

Responsibilities

  • Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.
  • Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.
  • Create SQL and Python code that is optimized, efficient, repeatable and scalable.
  • Analyze, understand and prepare complex and new data sources and incorporate them into project design.
  • Perform design, creation, and interpretation of large and highly complex datasets.
  • Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
  • Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions.
  • Develop and implement data quality checks and troubleshoot data anomalies.
  • Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions.
  • Package, summarize, visualize and perform storytelling on analytical findings and results to technical and non-technical people alike.
  • Ability to advocate for the implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the “so what” out of the analysis being performed.

FAQs

What is the work schedule for this position?

The position requires being in the office 3 days a week, specifically on Tuesdays, Wednesdays, and Thursdays.

Is immigration sponsorship available for this position?

No, this position does not offer immigration sponsorship, including F-1 STEM OPT extension support.

What educational qualifications are required for this role?

A BS degree in a STEM major or equivalent discipline is required.

How many years of experience are needed for this data analyst role?

A minimum of 5-7 years of experience in a related role as a data analyst or data engineer is required.

What programming languages should candidates be proficient in?

Extensive experience in SQL is a must, as well as a strong working knowledge of Python.

Are there any preferred qualifications for this role?

Yes, a Master’s degree in a related field, a background in credit risk or financial data analytics, and experience with large datasets on big data platforms are highly preferred.

What types of environments does this position involve?

This position involves working with a rich big data ecosystem and technologies like Google Cloud, AWS, Snowflake, and Hadoop.

How important are communication skills for this role?

Strong communication skills are required, as the role involves collaborating with internal stakeholders and presenting analytical findings to both technical and non-technical audiences.

Will the candidate have opportunities for professional growth and learning?

Yes, the position provides the opportunity to work with best-in-class technology and stay up-to-date with the latest trends and advancements in GCP and related technologies.

What is the primary responsibility of the data analyst in this role?

The primary responsibility includes preparing data for analytical use by building data pipelines, integrating and cleansing data, and creating effective analytical solutions and visual reports.

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Equifax

Finance
Industry
10,001+
Employees

Mission & Purpose

Equifax is a global data analytics company that specialises in providing consumer credit reporting and risk assessment services. They collect and analyse vast amounts of consumer and business data to generate credit scores, produce credit reports, and offer solutions for identity verification, fraud detection, and risk assessment. Equifax's ultimate mission is to help businesses and consumers make informed decisions by leveraging data and insights. Their purpose is to provide trusted and accurate information to support lending decisions, enable responsible financial behaviour, and mitigate risks for businesses. Equifax aims to empower businesses and individuals with the tools and knowledge necessary to navigate the credit landscape, protect against fraud, and make sound financial decisions. They strive to uphold data security and privacy standards while delivering innovative solutions that contribute to a more transparent and efficient financial ecosystem.