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PwC

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3.4

based on 9k Reviews

Video summary

2760 PwC Jobs

Senior Associate_Tableau Developer_Advisory Corporate

Pricewaterhouse Coopers Private Limited

3.4

based on 9k Reviews

2-5 years

Noida

1 vacancy

Senior Associate_Tableau Developer_Advisory Corporate

PwC

posted 6hr ago

Job Role Insights

Flexible timing

Key skills for the job

Power BI SAP CO Data Analysis Data Analytics Quality Assurance SQL

+ 4 more

Job Description

Not Applicable

Specialism

SAP

Management Level

Senior Associate

& 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 decisionmaking and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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 purposeled and valuesdriven 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 .

& 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.

Develop, maintain and manage advanced reporting, analytics, dashboards in Tableau or PowerBI
Ability to identify right data Visualization based on Business requirement.
Perform and document data analysis, data validation and data mapping design
Ensure data accuracy, completeness, and relevance in visualizations.
Conduct data analysis to identify trends, patterns, and insights.
Review and improve existing reports, dashboards, and analytics systems.
Ensure that project deliverable meet business requirements and ensure to complete the project within assigned timelines
Experience around building complex dashboards
Requirements
Good Knowledge of different databases and Tableau / PowerBI repositories.
Experience in creating consistent visualization, dashboards, charts, and reports across the organization
A minimum of 3 years of handson experience in developing and maintaining Tableau or PowerBI dashboards
Experience in Business Intelligence and Analytics..
Excellent analytical skills to analyse business needs and problemsolving skills to resolve the issues that appear during development.

Mandatory skill sets

Tableau, Power BI, SQL

Preferred skill sets

Tableau, Power BI, SQL

Years of experience required

4 8

Education qualification

B.Tech / M.Tech / MBA / MCA

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

Degrees/Field of Study required Bachelor of Engineering, Master of Engineering, Master of Business Administration

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills

Power BI, Structured Query Language (SQL)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more}

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