Senior Associate, Business Analyst, Data and Analytics, Advisory

2 Months ago • 3-8 Years

Business Analysis

Job Description

At PwC, professionals in data and analytics leverage data to drive insights and inform business decisions using advanced analytics techniques to optimize operations and achieve strategic goals. In business intelligence, you will provide strategic insights and drive informed decision-making by developing and implementing innovative solutions to optimize business performance and enhance competitive advantage. PwC offers a vibrant community, purpose-led work, and an innovative environment that drives tangible impact. They reward contributions, support wellbeing, and provide inclusive benefits, flexibility, and mentorship. PwC is committed to equal employment opportunities and has zero tolerance for discrimination or harassment.

Good To Have:

Cloud Certification (AWS, Azure)
Spark Streaming familiarity

Must Have:

3-8 years of data engineering experience
Proficiency in PySpark or Spark
Data ingestion and transformation experience
Cloud services experience (AWS/Azure)
Spark job performance optimization
Strong problem-solving skills
Pl/Sql Developer

Add these skills to join the top 1% applicants for this job

team-management

cross-functional

data-analytics

game-texts

business-analysis

html

aws

azure

business-intelligence

data-visualization

spark

data-science

sql

Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*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

Responsibilities:

Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS, Azure, Databricks. - Implement data ingestion and transformation processes to facilitate efficient data warehousing. - Utilize cloud services to enhance data processing capabilities: - AWS: Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS. - Azure: Data Factory, Synapse Analytics, Functions, Cosmos DB, Event Grid, Logic Apps, Service Bus. - Optimize Spark job performance to ensure high efficiency and reliability. - Stay proactive in learning and implementing new technologies to improve data processing frameworks. - Collaborate with cross-functional teams to deliver robust data solutions. - Work on Spark Streaming for real-time data processing as necessary. Qualifications: - 3-8 years of experience in data engineering with a strong focus on cloud environments. - Proficiency in PySpark or Spark is mandatory. - Proven experience with data ingestion, transformation, and data warehousing. - In-depth knowledge and hands-on experience with cloud services(AWS/Azure): - Demonstrated ability in performance optimization of Spark jobs. - Strong problem-solving skills and the ability to work independently as well as in a team. - Cloud Certification (AWS, Azure) is a plus. - Familiarity with Spark Streaming is a bonus.

Mandatory skill sets:

· Pl/Sql Developer

Preferred skill sets:

· Pl/Sql Developer

Years of experience required: 7+

Education qualification:

BE/BTech/MBA/MCA

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

Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Business Analyzer

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date