Data Analyst

Virtusa

5 - 10 years

3 - 7 Lacs

hyderabad

Posted:4 days ago| Platform:

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Skills Required

data analyst python restful talend power bi machine learning sql database design salesforce data quality r tableau restful apis data science compliance xml feature engineering data governance json aws etl informatica azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Data Analyst Conga & Pros SPOM Integration
Data Modeling & Mapping
Understand Conga's data structures (Cart, Quote, Invoice, Line Items) and Pros SPOM schema.
Design mapping logic to transform Conga data into SPOM-compatible formats for pricing models.
ETL & Data Integration
Build and maintain ETL pipelines for extracting, transforming, and loading data from Conga to SPOM.
Develop custom APIs where ETL is insufficient for real-time or complex transformations. Invoice Data Generation
Create invoice datasets from cart-level transactional data for downstream analytics and ML training.
Validate data integrity and completeness across multiple sources.
Pricing Analytics
Prepare datasets for machine learning models to generate price recommendations.
Collaborate with data science teams to ensure feature engineering aligns with pricing objectives.
Data Quality & Governance
Implement data validation, error handling, and reconciliation processes.
Ensure compliance with security and privacy standards for sensitive pricing and customer data.
Strong knowledge of SQL and relational database design.
Proficiency in Python or R for data manipulation and transformation.
Experience with ETL tools (e.g., Talend, Informatica, Azure Data Factory) and API development.
Understanding of pricing strategies, revenue lifecycle, and transactional data flows.
Expertise in data visualization (Power BI, Tableau) for reporting and insights.
Solid grasp of data governance, security, and compliance practices.
Experience with machine learning pipelines for pricing optimization.
Knowledge of RESTful APIs, JSON/XML transformations, and integration patterns.
Familiarity with Salesforce ecosystem and Conga platform extensions.
Exposure to cloud platforms (Azure, AWS) and data lake architectures.
Strong analytical and problem-solving skills with attention to detail.

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