PwC Data and Analytics Technology; Senior Associate - Technologist in San Francisco, California
Specialty/Competency: Data and Analytics Technologies
Industry/Sector: Banking and Capital Markets
Time Type: Full time
Travel Requirements: Up to 20%
A career in our Advanced Analytics practice, within Risk Assurance Compliance and Analytics services, will provide you with the opportunity to assist clients in developing analytics and technology solutions that help them detect, monitor, and predict risk. Using advanced technology, we’re able to focus on establishing the right controls, processes and structures for our clients to ensure that decisions are based on accurate information and assure that information provided to third parties is accurate, complete, and can be trusted.
Our team helps organisations use their data to make better decisions and get faster results through the use of analytics, strategy, and data governance. In joining, you’ll focus on data strategies and analytical modelling, systems assessment, dashboard development, and developing tools for continuous data monitoring.
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 :
Required Fields of Study :
Mathematics, Computer and Information Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Engineering
Minimum Years of Experience :
Preferred Qualifications :
Degree Preferred :
Master of Business Administration
Preferred Knowledge/Skills :
Demonstrates thorough knowledge within the financial services sector and/or a proven record of success in the following areas:
Operating in a professional services firm or large enterprise as a consultant, data analyst, auditor or business process specialist;
Performing on project teams and providing deliverables involving multiphase data analysis related to the evaluation of compliance, finance, and risk issues;
Evaluating business processes, compliance and risk issues, including the use of data and technology to provide greater coverage, targeted precision and insight;
Understanding of database concepts, including building relationships between tables, grouping data, and producing cohesive analyses;
Leveraging data manipulation and analysis technologies inclusive of Alteryx, Hadoop, MongoDB, Cloud Services, Microsoft SQL Server, or Oracle;
Knowing IT architecture and solution development through the use of Python, R,Java, C# or other programming languages;
Leveraging data visualization tools such as Tableau, Qlikview, Microsoft PowerBI; and,
Possessing knowledge of process automation and insight generation through Robotics Process Automation, machine learning, optical character recognition, process mining.
Demonstrates thorough knowledge and/or a proven record of success in the following areas:
Working seamlessly in a virtual environment to complete projects with team members based in various locations, domestically, and globally;
Identifying and addressing client needs, including developing and sustaining meaningful client relationships and understanding the client’s business;
Supervising staff, which includes creating a positive environment by monitoring workloads of the team, respecting the work-life quality of team members, providing feedback in a timely manner, performing a critical review of other’s work, informally coaching staff, and keeping leadership informed of progress and issues;
Leading teams to generate a vision, establish direction and motivate members, create an atmosphere of trust, leverage diverse views, coach staff, and encourage improvement and innovation;
Possessing project management skills in relation to data management projects, including developing project plans, budgets, and deliverables schedules;
Possessing creative thinking, individual initiative, and flexibility in prioritizing and completing tasks;
Researching and analyzing pertinent client, industry, and technical matters;
Having the desire to obtain deep industry sector(s) specialization over time; and,
Having the ability to approach clients and team members in an organized and knowledgeable manner and to deliver clear requests for information.
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 Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate.