Senior

Open 23d

We are recruiting for a Senior Data Analyst in the Quality and Risk Management team,

KEY RESPONSIBILITIES

Collaborate with cross-functional teams and leadership across the US and India to understand business requirements, define analytical objectives, and deliver data-driven solutions and actionable insights
Extract, cleanse, transform, validate, and integrate data from multiple structured and unstructured data sources to ensure accuracy, consistency, and reliability
Design, develop, and optimize scalable data models, datasets, and automated data pipelines using tools such as Python, SQL, Databricks, and Alteryx
Perform advanced data analysis using statistical methods, data mining techniques, and exploratory analysis to identify trends, anomalies, patterns, correlations, and business opportunities
Translate complex data findings into meaningful insights, recommendations, and risk indicators to support strategic and operational decision-making
Develop and maintain interactive dashboards and executive presentations using Power BI, Excel, Power Point, Word
Leverage Generative AI and advanced analytics tools to improve productivity, accelerate insight generation, and support innovative analytical solutions while applying sound judgment and critical thinking
Create, maintain, and enhance standard operating procedures (SOPs), technical documentation, process flows, and technical specifications to support governance, operational continuity, knowledge transfer, and scalable support models

Mandatory technical & functional skills

5–7 years of experience in data analytics, statistics or related data-driven roles, with a strong track record of delivering business insights and analytical solutions
Advanced experience designing, developing, and optimizing automated data pipelines and ETL/ELT workflows using Python, SQL, and platforms/tools such as Databricks and Alteryx
Advanced proficiency in designing and developing dashboards using Power BI and DAX
Experience applying statistical methods to analyze data, detect patterns and anomalies, identify correlations, and generate actionable insights and recommendations
Demonstrated strong critical thinking, analytical problem-solving, challenge assumptions, identify root causes, apply sound judgement
Experience leveraging Generative AI tools in analytics workflows, with sound judgment in evaluating output quality and relevance

Preferred technical & functional skills

Experience with Databricks and Alteryx
Experience leveraging and embedding AI models in Python
Experience with GitHub, Version Control & CI/CD Automation