Cybersecurity, Privacy and Forensics - Analytics - Senior Associate

A career in our Cybersecurity, Privacy and Forensics will provide you the opportunity to solve our clients most critical business and data protection related challenges. You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities. You will have access to not only the top Cybersecurity, Privacy and Forensics professionals at PwC, but at our clients and industry analysts across the globe. Our Analytics team focuses on leveraging advanced analytical and cybersecurity, privacy, and forensic techniques to help identify, mitigate, monitor, and respond to risks that impact our clients' ability to effectively deliver on their business strategy. We focus on assisting organisations analyze vast amounts of electronic data and navigate the legal and business processes demanded by critical events which includes litigation, regulatory requests, cyber incidents, and investigations.
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.
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 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.

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor's Degree
Minimum Year(s) of Experience:
3 year(s)
Preferred Qualifications:
Preferred Fields of Study:
Management Information Systems,Data Processing/Analytics/Science,Computer and Information Science
Preferred Knowledge/Skills:
Demonstrates thorough abilities and/or a proven record of success in the following:
- Having the ability to think critically about the problem at hand and apply analytics strategy to solve problem and/or identify relevant observations for reporting;
- Being comfortable with working in a fluid and fast paced environment where priorities, approaches, and deliverables are rapidly developed and iterated upon;
- Demonstrating history of working with business and other non-technical stakeholders;
- Having the ability to translate technical concepts and results into business terms and impact;
- Having attention to detail; ability to clearly document work performed and observations identified;
- Having the ability to synthesize key themes/concepts, critical issues/risks, etc. into succinct executive level communications (i.e., powerpoint, written reports, etc.);
- Having the availability for both domestic and international travel on short notice and work additional hours as necessary;
- Having experience using ETL (Extract, Transform and Load), and having experience with SQL, Alteryx, Power Query and / or other agile technologies;
- Possessing knowledge of business intelligence & data visualization software (e.g. Tableau, PowerBI, Qlik);
- Having exposure to data from accounting systems application such as SAP, Oracle / PeopleSoft, JD Edwards etc;
- Having exposure to a range of statistical and analytical techniques such as: Natural language processing, machine learning, conceptual modelling, algorithms, statistical analysis, predictive modeling and hypothesis testing;
- Having experience leading analytic teams that have created and applied analytic frameworks to solve complex business problems;
- Having the ability to identify and process critical data (e.g. internal client data, external public data, and new sources of data) to challenge the status quo through innovative thought leadership in the application of quantitative methodologies to improve decision-making; and,
- Having experience identifying and addressing client needs: building, maintaining, and utilizing networks of client relationships.
Learn more about how we work: https://pwc.to/how-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.
The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance