Alteryx Data Analyst

EXL; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL is seeking an experienced Senior Data Analyst with strong hands-on expertise in SQL, Python, PySpark and Alteryx to work on large, complex datasets. The role involves data mapping, data preparation, data quality validation and data analysis across multiple sources.

Banking, Credit & Lending, Retail Credit or Traded Credit exposure is highly preferred. The ideal candidate will have hands-on experience in Spark SQL/HQL, Hadoop, Hive, and building Alteryx workflows to automate data tasks.

Qualifications

• Strong hands-on experience in SQL, Spark SQL/HQL, Python and PySpark for data exploration, transformation, analysis and validation.
• Hands-on experience in Alteryx, including designing and building workflows from scratch for extraction, transformation, loading and automation.
• Experience in setting up Alteryx workflows, connecting to multiple data sources, identifying source systems and automating repetitive data tasks.
• Working knowledge of Big Data frameworks such as Hadoop, Hive and Spark.
• Ability to perform complex data transformations using PySpark and Alteryx across large datasets.
• Strong exposure to data mapping, including defining mappings required to join datasets across multiple sources.

Responsibilities

• Create and maintain documentation for data mappings, subsystem design, technical design, and business requirements.
• Design and implement data asset mappings to support data asset design and build activities.
• Support data dashboarding, visualization or reporting to enable business analysis and insights.
• Identify automation and process-improvement opportunities to enhance efficiency and productivity.
• Collaborate in an Agile environment using Jira and Confluence to manage work.

Skills

SQL

Python

PySpark

Alteryx

Data mapping

Data quality validation

Data analysis

Agile (Jira/Confluence)

Tools

Spark SQL/HQL

Hadoop

Hive

Alteryx workflows

Jira

Confluence

Job description

Role Summary

We are looking for an experienced senior Data Analyst with strong hands-on expertise in SQL, Python, PySpark and Alteryx. The ideal candidate should have experience working with large and complex datasets, performing data mapping, data preparation, data quality validation and data analysis across multiple sources. Exposure to Banking, Credit & Lending, Retail Credit or Traded Credit domains will be highly preferred.

• Strong hands-on experience in SQL, Spark SQL/HQL, Python and PySpark for data exploration, transformation, analysis and validation.
• Hands-on experience in Alteryx, including designing and building workflows from scratch for extraction, transformation, loading and automation.
• Experience in setting up Alteryx workflows, connecting to multiple data sources, identifying source systems and automating repetitive data tasks.
• Working knowledge of Big Data frameworks such as Hadoop, Hive and Spark.
• Ability to perform complex data transformations using PySpark and Alteryx across large datasets.
• Strong exposure to data mapping, including defining mappings required to join datasets across multiple sources.
• Experience in data cleansing, data preparation, schema analysis and data quality validation.
• Understanding of ER diagrams, data modelling concepts, logical-to-physical mapping and data processing flows.
• Experience supporting data asset design and build activities by identifying critical data elements and defining reusable data asset mappings.
• Ability to create and maintain documentation for data mappings, subsystem design, technical design, business requirements, Alteryx workflows, processes and methodologies.
• Experience in dashboarding, visualization or reporting to support business analysis and insight generation.
• Ability to identify automation and process improvement opportunities to improve efficiency and productivity.
• Exposure to Agile delivery frameworks and tools such as Jira and Confluence.
• Banking domain knowledge, preferably in Credit & Lending, Retail Credit or Traded Credit.