Insights Factory-Data Analytics Engineer-Senior Associate

Not Interested
Bookmark
Report This Job

profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 18 days ago
Vacancies: 1 Vacancy

Job Summary

Industry/Sector

Not Applicable

Specialism

Advisory - Other

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 science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models conducting statistical analysis and creating data visualisations to solve complex business problems.

You will play a crucial role in organizing & maintaining proprietary datasets and transforming data into insights & visualizations that drive strategic decisions for our clients and the firm. Youll work closely with the industry leader & a number of cross-functional retail & consumer advisory tax and assurance professional teams to develop high-impact commercially relevant insights to infuse into thought leadership external media engagement demand generation client pursuits & delivery enablement.

Knowledge and Skills Preferred

Demonstrates in- depth level abilities and/or a proven record of success managing efforts with identifying and addressing client needs:

  • As a critical member of a team of the data science team you will maintain and analyze large complex datasets to uncover insights that inform topics across the Financial Services sector.

  • Support in the identification of new cutting-edge datasets that add to the firms differentiation amongst competitors and clients;

  • Support in building predictive models and data-led tools;

  • Design and conduct experiments (A/B testing market basket analysis etc.) to measure the effectiveness of new approaches and drive continuous improvement;

  • Partner with US team to translate analytical findings into actionable recommendations and compelling stories;

  • Develop dashboards and reports using tools like Tableau Power BI or Looker to support self-service analytics and decision-making;

  • Stay up to date and ahead of industry trends customer behavior patterns and emerging technologies in the aligned sector.

  • Experience managing high performing data science and commercial analytics teams;

  • Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling;

  • Experience applying machine learning or statistical techniques to real-world business problems;

  • Solid understanding of key Industry specific metrics

  • Proven ability to explain complex data concepts to non-technical stakeholders;

  • Experience with Industry specific datasets and vendors

  • Knowledge of geospatial or time-series analysis and

  • Prior work with commercial analytics and insights

The Opportunity

When you join PwC Acceleration Centers (ACs) you step into a pivotal role focused on actively supporting various Acceleration Center services from Advisory to Assurance Tax and Business our innovative hubs youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Insights & Enablement team you will act as the Data Product Owner transforming data into actionable insights that drive strategic decisions. As a Senior Associate you will take ownership of analytics outcomes communicate effectively with stakeholders and đảm bảo that your work leads to impactful results in the financial services sector.

Responsibilities

- Act as the Data Product Owner for analytics outcomes

- Transform data into actionable insights for strategic decisions

- Communicate effectively with stakeholders to align on objectives

- Confirm deliverables lead to impactful results in financial services

- Develop dashboards and data assets to support decision-making

- Analyze data trends to inform business strategies

- Collaborate with cross-functional teams to enhance data usability

- Maintain leading standards in data quality and analysis

What You Must Have

- Bachelors Degree

- 3 years of experience in analytics engineering data consulting BI/analytics delivery

- Oral and written proficiency in English required

What Sets You Apart

- 3 to 8 years of experience in analytics engineering

- Proven ability to communicate with senior stakeholders

- Spotting blockers early and proposing mitigation

- Taking ownership of the final deliverables

- Caring about impact and pushing for valuable work

- Experience with Databricks and/or Azure preferred

- Familiarity with modern ELT tools and practices preferred

- Financial Services domain experience preferred

- Power BI skills preferred

Travel Requirements

Not Specified

Job Posting End Date


Required Experience:

Senior IC

Industry/SectorNot ApplicableSpecialismAdvisory - OtherManagement LevelSenior AssociateJob Description & SummaryAt 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 ro...
View more view more

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

Company Logo

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more

View Profile View Profile