Pyspark Data Analyst

Overview

A developing Business Analytics professional role that handles most problems independently, gathers and analyses operational data to surface insights for business decisions, and works closely with internal and external business partners.

What you'll do

• Gather operational data from various cross-functional stakeholders to examine past business performance.
• Identify data patterns and trends, and provide insights to enhance business decision making in business planning, process improvement and solution assessment.
• Recommend actions for future developments and strategic business opportunities, and enhancements to operational policies.
• Be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools and capabilities.
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies.
• Appropriately assess risk when business decisions are made, driving compliance with applicable laws, rules and regulations, adhering to Policy, and escalating, managing and reporting control issues with transparency.

What you'll need

• Bachelor's Degree with 5-8 years of experience in data analytics, or Master's Degree with 4-8 years of experience in data analytics, or PhD.
• Advanced process management skills, organized and detail oriented.
• Curious about learning and developing new skillsets.
• Experience across different analytical methods such as hypothesis testing, segmentation, time series forecasting, and test vs. control comparison.
• Predictive modeling using Machine Learning.
• Experience with unstructured data analysis, e.g. call transcripts, using Natural Language Processing (NLP)/Text Mining.
• Strong logical reasoning and problem-solving ability.
• Proficient in converting business problems into analytical tasks, and analytical findings into business insights.
• Proficient in formulating analytical methodology and identifying trends and patterns with data.
• Ability to work hands-on to retrieve and manipulate data from big data environments.
• Proficient in Python and SQL.
• Experience in Hive.
• Experience with PySpark.
• Experience with Tableau.
• Proficient in MS Excel and PowerPoint.
• Ability to identify, clearly articulate and solve complex business problems and present them to management in a structured and simpler form.
• Excellent communication and inter-personal skills.
• Strong process/project management skills.
• Ability to coach and mentor juniors.

Nice to have

• Experience in financial services.
• Experience working with data from different sources and of different complexity.

Details

• Location: Pune, Maharashtra, India.
• Time type: Full time.
• Contribute to organizational initiatives including competency development, training and organizational building activities.