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PwC Data & Analytics Technology - Senior Associate, TMT in Chicago, Illinois

Specialty/Competency: Data and Analytics Technologies

Industry/Sector: TMT X-Sector

Time Type: Full time

Travel Requirements: Up to 80%

A career within Data and Analytics Technology 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.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.

  • Delegate to others to provide stretch opportunities, coaching them to deliver results.

  • Demonstrate critical thinking and the ability to bring order to unstructured problems.

  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.

  • Review your work and that of others for quality, accuracy and relevance.

  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.

  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.

  • Use straightforward communication, in a structured way, when influencing and connecting with others.

  • Able to read situations and modify behavior to build quality relationships.

  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required:

Bachelor Degree

Preferred Fields of Study:

Computer and Information Science, Management Information Systems

Minimum Years of Experience:

4 year(s)

Preferred Qualifications :

Preferred Knowledge/Skills:

Demonstrates comprehensive knowledge and expertise on designing and developing business insights, predictive and prescriptive models and traditional and modern data architectures, including one or more of the following experience:

  • Evaluating Data & Analytics enterprise architecture for feasibility, risk and technology modernization and help conceptualize, design, migrate and implement solutions using cloud based and on-prem technologies

  • Creating data strategies, defining methodologies, designing, developing and recommending modern “data-first” architecture solutions

  • Prioritizing, preparing and implementing Data architecture/ Integration, and business insights solutions that support cross-functional KPIs, metrics and

  • Designing and developing data models (conceptual, logical and physical) for complex data platforms (next gen data platforms/ data warehouses etc.); Defining data flows to capture data sourcing and metadata (key business terms, definitions, business rules etc.) to support business needs

  • ML Engineering experience in deploying ML Models and implementing ML Ops & monitoring

  • Applying No Code/Low Code capabilities in constructing modern data engineering and analytics solutions

Demonstrates experience (multiple implementations) across the complete software development life cycle (from business requirements to deployment and support) using industry leading data analysis/data engineering/visualization tools and technologies, including:

  • Emerging enterprise data management, data harmonization and engineering, cloud data analytics modernization, edge data platform and AI, BI-analytics enablement, recommendation and next best action engines, data governance strategy and operationalization, master data management, and data security

  • Ability to architect and design end to end enterprise data solutions and develop applications utilizing leading data engineering, big data and visualizations tools ( data ingestion and distribution patterns, large scale data processing on distributed platforms, data warehousing, cloud based architecture, SQL/No SQL)

  • Design and development of data cleansing and data wrangling routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching that leverages knowledge within data, master data, metadata and technology management.

Demonstrates proven skills and success participating in consulting-related projects within a professional services environment that utilize creative thinking skills and individual initiative, including the following:

  • Collaborating and contributing as a team member: understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback;

  • Identifying and addressing client needs: building solid relationships with clients; developing an awareness of Firm services; approaching client in an organized manner; delivering clear requests for information; demonstrating flexibility in prioritizing and completing tasks; communicating potential conflicts to a supervisor;

  • Prioritizing and handling multiple tasks; researching and analyzing pertinent client, industry, and technical matters; utilizing problem-solving skills; and, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;

  • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.

For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: .

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy:

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.


Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.