IN_Senior Associate_Informatica, IDMC, SQL, Python, Snowflake _Data and Analytics_Advisory_Pune

17 Minutes ago • 4-7 Years
Data Analysis

Job Description

At PwC, our data and analytics engineering team designs and develops robust data solutions, transforming raw data into actionable insights for informed decision-making and business growth. Those in data and automation streamline data-related processes internally, automating data collection, analysis, and visualization. This role involves developing and maintaining applications, executing data migration, leveraging advanced analytics, and collaborating with cross-functional teams to enhance business strategies and ensure data-driven decision-making.
Good To Have:
  • AWS experience
  • Accepting Feedback
  • Active Listening
  • Agile Methodology
  • Alteryx (Automation Platform)
  • Analytical Thinking
  • Automation
  • Business Analysis
  • Communication
  • Data Analytics
  • Data Architecture
  • Data-Driven Insights
  • Data Ingestion
Must Have:
  • Develop and maintain applications for business enhancements and technical debt.
  • Execute data migration projects, ensuring seamless integration and functionality.
  • Leverage advanced analytics to uncover enterprise insights and drive business results.
  • Integrate organizational technology capabilities such as business intelligence, data management, and data assurance.
  • Collaborate with cross-functional teams to enhance business strategies.
  • Ensure data-driven decision-making processes are effective.
  • Mandatory skills include Informatica, IDMC, SQL, Python, and Snowflake.
  • Required experience is 4 to 7 years.
  • Education qualification: BE, B.Tech, ME, M.Tech, MBA, MCA (60% above).
Perks:
  • Rewards for contributions
  • Wellbeing support
  • Inclusive benefits
  • Flexibility programmes
  • Mentorship

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & 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 about us

.

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.

Job Description & Summary:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

  • Develop and maintain applications to support business enhancements and address technical debt, including defect fixing and extensive code refactoring.
  • Execute data migration projects, ensuring seamless integration and functionality across platforms.
  • Leverage advanced analytics to uncover enterprise insights and drive business results.
  • Integrate organizational technology capabilities such as business intelligence, data management, and data assurance.
  • Collaborate with cross-functional teams to enhance business strategies and maintain competitiveness amidst evolving customer needs and technological advancements.
  • Ensure data-driven decision-making processes are effective and contribute to the organization's growth and innovation.

Mandatory skill sets:

Informatica, IDMC, SQL, Python, Snowflake, AWS (good to have)

Preferred skill sets:

Informatica, IDMC, SQL, Python, Snowflake, AWS (good to have)

Years of experience required:

4 to 7 years (Senior Associate)

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology

Required Skills

Informatica PowerCenter, Python (Programming Language), Snowflake (Platform)

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, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion

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