Data Analyst Senior

Experian

5 - 10 years

12 - 17 Lacs

hyderabad

Posted:2 months ago| Platform:

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Skills Required

sql data modeling python machine learning aws hive scikit-learn numpy tensorflow data science spark gcp pytorch mysql consumer data analysis sas lending power bi microsoft azure cloud platforms alteryx pandas aws glue tableau r athena statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Analyze and interpret complex data trends across consumer, commercial, housing, and alternative credit data to create insights that inform strategic decisions.

Design, develop and 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'll report to a Senior Manager

Experience and Skills

Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics, or a related quantitative field; or equivalent practical experience.
You need to have 5+ years of experience in analytics, SQL, and proficient in relational and distributed data systems such as Aurora, MySQL, Hive, Athena, etc. Experience analyzing large datasets using tools like Alteryx, Python, SAS, R, AWS Glue, etc. -
Experience building and delivering insights through data visualization and BI tools such as Tableau, Power BI, Qlik, and Microsoft Excel/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 is preferred.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP) is preferred. -
Prior experience in the consumer credit, lending, or financial services industry is a plus.
Knowledge of data domains such as CRRG/Metro2 standards, public records, credit inquiries, and commercial credit data.

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