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Job description
Analyze data to identify trends, detect variances, explain root causes, and support defect remediation using statistical and regression analysis.
Responsibilities:
· Build and validate regression models to explain data drift and variances.
· Analyze mismatches between expected and actual results.
· Identify root causes of defects and data quality issues.
· Perform statistical testing and trend analysis.
· Create dashboards, heat maps, and visualizations to monitor drift.
· Develop predictive models to detect issues early.
· Partner with business, QA, and development teams to prioritize fixes.
· Present findings and recommendations to stakeholders.
Required Skills:
· Strong knowledge of regression analysis and statistics.
· Experience with Python, SQL, Big Data, Hadoop, and data visualization tools.
· Machine learning experience is a plus.
· Ability to analyze large datasets and identify patterns.
· Experience with root cause analysis and anomaly detection.
· Strong communication and problem-solving skills.
Preferred Experience
· Financial services or payments experience.
· Data reconciliation and validation.
· Drift monitoring and predictive analytics.
· Power BI, Tableau, Spark, Snowflake, or Databric
Success Measures
· Faster defect diagnosis.
· Earlier detection of drift.
· Improved validation accuracy.
· Reduced manual analysis effort.
· Faster remediation and resolution of issues.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.