Data Analyst, Mid-Level

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Conduct data analyses to support data quality initiatives and improvement efforts • Generate insights to support decision-making and the continuous evolution of processes • Identify data quality issues and support corrective actions with Operations, Technology, and Business teams • Develop and maintain documentation covering data quality definitions, criteria, and processes • Conduct low- to medium-complexity data analyses using various sources and tools • Collaborate with internal teams to understand needs, requirements, and challenges related to data quality • Participate in data quality status review meetings and contribute improvement suggestions

🎯 Requirements

• Degree in Computer Science, Engineering, Statistics, Information Systems, or a related field • Hands-on experience with database manipulation and management • Strong SQL knowledge, with the ability to write intermediate-level queries • Experience in data analysis • Experience with Python for data analysis or automation is a plus • Familiarity with Amazon S3, Jupyter Notebook, EMR, Athena, or related data environment tools is a plus

🏖️ Benefits

• Remote work opportunities • An inclusive, purpose-driven environment • Career opportunities and professional development experiences • An environment that seeks to balance careers with personal commitments and interests • Focus on well-being • Certifications and recognition, including Great Place to Work™ and Top Employers