PwC

IN_Manager_Data Analyst_Digital Integration_Advisory_Kolkata

PwC  •  Republic of India (Onsite)  •  17 hours ago
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Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Manager

& Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.

* Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

& Summary:A career within….

Responsibilities

PwC India is seeking a highly skilled and detail-oriented Data Analyst to support large-scale data migration, modernization, and analytics initiatives on the Databricks Lakehouse Platform. The Data Analyst will play a critical role in analyzing data across multiple source systems, designing robust data models, and ensuring the accuracy, completeness, and quality of data ingested and transformed into Databricks. 

  • Analyze data from multiple source systems to understand business requirements, data structures, and integration needs. 

  • Design and document data models to support migration, ingestion, and transformation of data into Databricks. 

  • Perform source-to-target mapping, data profiling, and validation to ensure accuracy, completeness, and quality of migrated data. 

  • Collaborate with business stakeholders, data engineers, and architects to translate functional requirements into scalable data models. 

Mandatory skill sets:

Proven ability to analyze data from multiple source systems to understand business requirements, data structures, and integration needs. 

Hands-on experience designing and documenting data models to support migration,ingestion, and transformation of data into Databricks. 

  • Strong expertise in source-to-target mapping, data profiling, and validation to ensure accuracy, completeness, and quality of migrated data. 

  • Demonstrated ability to collaborate with business stakeholders, data engineers, and architects to translate functional requirements into scalable data models. 

Preferred skill sets

  • Hands-on experience with Databricks Unity Catalog, Delta Live Tables (DLT), and Medallion architecture for scalable data ingestion and transformation. 

  • Familiarity with data profiling and quality tools such as Great Expectations, Informatica DQ, or Collibra for source-to-target validation. 

  • Exposure to data modeling tools (Erwin, ER/Studio,dbt,SqlDBM) and metadata/lineage platforms (Purview, Alation). 

  • Databricks Certified Data Analyst Associate or Microsoft Certified: Azure Data Engineer Associate certification. 

Years of experience required

8-12 Years

Education qualification

B.E./B.Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Analytics

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Coaching and Feedback, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights {+ 39 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

June 23, 2026

PwC

About PwC

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC: Audit and assurance, consulting and tax services

PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
, GB
Year Founded
Unknown
Website
pwc.com
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