IN Senior Associate Visualization Engineer Data & Analytics Advisory Bangalore

Bengaluru Millenia

Full Time Mid-level / Intermediate USD 43K - 81K *

PwC

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Posted 1 week ago

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Why PWCAt 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. "

Responsibilities: -

Strong SQL knowledge and experience in analyzing and
interpreting data using Redshift or databases like Oracle.
- Experience with data visualization tools like Tableau, Quicksight
or Power BI.
- Highly proficient in SQL and experience in extracting transform
and cleaning large data sets.
- Good to have - Experience in Python.
- Work with massive-scale data and provide analytic support to
client stakeholders using the data.
- Build dashboards for business reporting,
- Deep dive bridges to understand the behavior of the metrics and
identify root causes of defects and develop business
tools/solutions to help business improve efficiency, productivity
and save costs.
- Utilize deep expertise in business analysis, metrics, reporting, and
analytic tooling/languages like SQL, Excel, and others, to translate
the data into meaningful insights.
- Act as key point of contact working with program managers
working end-to-end from scoping the project, development,
testing and deployment.
- Communicating complex analytical results in a clear and easy-to-
understand way and will drive towards simple, scalable solutions
to difficult problems while considering edge cases and different
tradeoffs.
Basic qualifications
1. 4+ years of experience working on SQL and ETL to pull data and
build reports/dashboards.
2. Experience with data visualization using QuickSight, Tableau or
PowerBI.
3. Good to Have - Experience with AWS solutions such as EC2,
DynamoDB, S3, and Redshift
4. Good to Have - Experience in scripting for automation (e.g.
Python) and advanced Excel skills.
5. Good to Have - Experience in data mining, ETL, etc. and using
databases in a business environment with large-scale, complex
datasets.
6. Good understanding of data and ability to analyze/deep dive data
to identify patterns/root cause.