Specialty/Competency: IFS - Internal Firm Services - Other
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 20%
A career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change. Our team establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. We develop the data sets and pipelines that will support analysis and model development including improving data quality, integration of disparate data sources, enhancement of data, transformation of data and development of performant infrastructure for access and reporting. As well, we design, build and oversee the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources.
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 an authentic and inclusive leader, at all grades/levels and in all lines of service. 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.
Responsibilities
PwC Professional skills and responsibilities for this management level include but are not limited to
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.
- Use feedback and reflection to develop self awareness, personal strengths and address development areas.
- Delegate to others to provide stretch opportunities and coach to help deliver results.
- Develop new ideas and propose innovative solutions to problems.
- Use a broad range of tools and techniques to extract insights from from current trends in business area.
- Review your work and that of others for quality, accuracy and relevance.
- Share relevant thought leadership.
- Use straightforward communication, in a structured way, when influencing others.
- Able to read situations and modify behavior to build quality, diverse relationships.
- Uphold the firm's code of ethics and business conduct.
Basic Qualifications
Job Requirements and Preferences:
Minimum Degree Required
Bachelor Degree
Additional Educational Requirements
Bachelor's degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.
Minimum Years Of Experience
2 year(s)
Preferred Qualifications
Degree Preferred:
Master Degree
Preferred Fields Of Study
Computer and Information Science, Mathematics, Data Processing/Analytics/Science, Engineering
Preferred Knowledge/Skills
Demonstrates thorough abilities and/or a proven record of success within a professional services environment, in the following areas:
- Designing and building data analytics solutions based on requirements and industry best practices;
- Delivering robust, innovative and performant data integration, including batch processing and real-time streaming scenarios;
- Advising and developing data models, including data warehouse, analytical and semantic layers;
- Designing and creating dashboards and reports to present information in a clear and efficient way through the right visualization format and structure;
- Providing consulting to client facing and technical delivery teams;
- Assisting the implementation and adoption of new data platforms and products from an initial design to proof-of-concept and production phases;
- Performance tuning to enable solutions to run faster and to enhance user experience;
- Working with our local and Global teams to align and integrate our data solutions with other initiatives;
- Providing knowledge transfer to the team members and other groups;
- Keeping the leadership and team aware of key issues, identify and resolve potential problems and conflicts;
- Understanding of data models, data integration architectures and visualization tools;
- Working experience with databases, and their modeling, querying and integration options, including relational (SQL), multi-dimensional (MDX) and tabular (DAX), Alteryx;
- Exhibiting familiarity with analytics and big data related applications and cloud services, their roles, features, configuration and integration options;
- Working experience with analytical and BI tools such as Power BI, Tableau;
- Working experience with Python for data extraction and transformation;
- Showcasing practical experience with data quality and lineage challenges and solutions;
- Communicating in an organized and knowledgeable manner in written and verbal formats with the ability to explain complex data solution design to non-data savvy leaders and teams;
- Working with stakeholders including executive, product, data and design teams to assist with data-related technical issues and support their data infrastructure needs;
- Exhibiting self-motivation to learn new technologies and processes, with an ability to work with minimal supervision;
- Possessing flexibility and adaptability with regard to change and disruptions; and,
- Possessing industry relevant certifications and 2+ years experience in data analytics roles.
At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work.
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: https://pwc.to/H-1B-Lottery-Policy.
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.
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.
For positions in Albany (NY), California, Colorado, Nevada, New York City, Washington State, or Westchester County (NY), please visit the following link for pay range information: https://pwc.to/payrange-v1-productstechseniorassociate
