Data Analyst Senior
Data Analyst Senior
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Job Description
The Data Analyst will help support ongoing projects focused on data accuracy consumer advocacy and related analytics. You will handle complex analytic requests and collaborating with partners to identify opportunities for improving data quality data delivery.
Main Responsibilities
- Analyze complex data trends across consumer commercial housing and alternative credit data to create insights that inform strategic decisions.
- Deploy analytical workflows scalable data pipelines data science solutions and machine learning models to enhance data quality and operational efficiency.
- Translate high-level requirements into clear technical specifications data models and process flow diagrams that support solution development.
- Communicate analytical findings through compelling storytelling data visualizations and executive-level presentations to guide partner decision-making.
- Collaborate with internal clients to assess and resolve data quality issues offering expert guidance as part of established data remediation programs.
- Partner with teams including Data Ops Product Development Compliance and Audit to gather insights and feedback that shape data-driven programs and product strategies.
You will report: Data Analytics Manager Senior.
Qualifications :
- Bachelors degree in Data Science Computer Science Engineering Statistics Applied Mathematics or a related quantitative field; or equivalent practical experience.
- 5 years of experience in analytics SQL and proficient in relational and distributed data systems such as Aurora MySQL Hive Athena.
- Experience analyzing large datasets using tools like Alteryx Python SAS R AWS Glue.
- Experience building and delivering insights through data visualization and BI tools such as Tableau Power BI Qlik and Microsoft excel (can write advanced macros) (can maintain complex spreadsheets)/PowerPoint.
- A deep Interest in data modeling machine learning or GenAI and proficiency in tools such as Python (NumPy pandas scikit-learn TensorFlow PyTorch) and Spark.
- Familiarity with cloud platforms like AWS Azure or Google Cloud Platform (GCP). Prior experience in the consumer credit lending or financial services industry. Knowledge of data domains such as CRRG/Metro2 standards public records credit inquiries and commercial credit data.
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
