Data Analyst, Alteryx

Jobtailor; Pune District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Jobtailor is seeking a data engineer to analyze, profile and transform data from multiple source systems to support business and technology requirements. You will develop SQL, PySpark and Alteryx-based data workflows for data extraction, transformation, validation and reconciliation.

You will collaborate with business, data model and technology teams to define mappings, critical data elements and reusable data assets, while performing data quality checks, schema analysis and data preparation to

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong hands-on experience in SQL, Python, PySpark and Alteryx.

Responsibilities

• Analyze, profile and transform data from multiple source systems to support business and technology requirements.
• Develop SQL, PySpark and Alteryx-based data workflows for data extraction, transformation, validation and reconciliation.
• Work with business, data model and technology teams to define data mappings, critical data elements and reusable data assets.
• Perform data quality checks, schema analysis, data preparation and issue investigation to ensure data consistency and reliability.
• Prepare clear documentation including data mapping documents, technical designs, business requirements and process documentation.

Skills

SQL

Python

PySpark

Alteryx

Education

Graduate in Computer Science

Graduate in Data Science

Job description

• Analyze, profile and transform data from multiple source systems to support business and technology requirements.
• Develop SQL, PySpark and Alteryx-based data workflows for data extraction, transformation, validation and reconciliation.
• Work with business, data model and technology teams to define data mappings, critical data elements and reusable data assets.
• Perform data quality checks, schema analysis, data preparation and issue investigation to ensure data consistency and reliability.
• Prepare clear documentation including data mapping documents, technical designs, business requirements and process documentation.

Requirements

• 5 + years
• Strong hands-on experience in SQL, Python, PySpark and Alteryx
• Experience in data engineering or related field
• Understanding of ER diagrams, data modelling concepts, logical-to-physical mapping and data processing flows
• Exposure to Banking, Credit & Lending, Retail Credit or Traded Credit domains will be highly preferred.
• Graduate in Computer Science, Data Science, or related field.

Core Competencies

Demonstrates expertise in SQL, Python, PySpark, and Alteryx for data engineering, with a strong focus on data transformation, quality assurance, and documentation. Possesses a solid understanding of data modeling concepts and experience in the Banking, Credit & Lending, or Retail Credit domains.

Highest-signal resume keywords

• SQL
• Python
• PySpark
• Alteryx
• Data Engineering

ATS Optimization Keywords

Hard Skills

• Data Transformation
• Data Quality Checks
• Schema Analysis
• Data Preparation
• Data Mapping
• Data Validation
• Data Reconciliation
• Data Profiling
• Data Processing Flows
• Logical-to-Physical Mapping

Certifications & Qualifications

• Graduate in Computer Science
• Graduate in Data Science

Industry Keywords

• Banking
• Credit & Lending
• Retail Credit
• Traded Credit