PwC Data Architect Senior Associate in Tampa, Florida
Line of Service: Internal Firm Services
Specialty/Competency: IFS - Finance
Industry/Sector: Not Applicable
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: No
Travel Requirements: Up to 20%
A career in Finance, within Internal Firm Services, will provide you with the opportunity to help PwC in all aspects of our Finance internal function including financial planning and reporting, data analysis, and assisting leadership with overall strategy. You’ll focus on recording and analysing financial transactions, paying and receiving invoices, maintaining financial statement ledger accounts, and preparing analysis and reconciliations of bills to detect fraud. Our Financial Analysis and Reporting team is responsible for managing PwC’s financial risk through financial planning and reporting, data analysis, and tactical consulting. As part of the team, you’ll help with budget management, cost benefit analysis, forecasting, shared services and financing.
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 :
High School Diploma
Minimum Years of Experience :
Preferred Qualifications :
Degree Preferred :
Preferred Knowledge/Skills :
Demonstrates thorough abilities and/or a proven record of success as a team leader:
Developing and executing of data architecture requirements for consolidation of data, separation of data warehouses, data integration, and/or data migration projects;
Designing and implementation of conceptual, logical and physical data models (level 0-2);
Delivering data architecture advice and solutions to achieve business outcomes within complex organisations;
Using a combination of leading data management, BI and/or data warehousing technologies and tools with a problem-solving attitude;
Analyzing structural requirements for new software and applications;
Building, optimizing and maintaining conceptual, logical and physical database models;
Managing and analyzing system requirements and implementing migration methods for existing data;
Developing database solutions to establish company information is stored effectively and securely;
Improving system performance by conducting tests, troubleshooting and integrating new elements;
Understanding and defining security and backup procedures;
Coordinating with other teams to identify future needs and requirements;
Exhibiting in-depth understanding of database structure principles;
Identifying, gathering and analyzing system requirements;
Optimizing knowledge of data mining and segmentation techniques;
Showcasing specialization in analytical skills, SQL, Oracle and MS Excel; and,
Understanding and familiarity with data visualization tools (e.g. Tableau, Power BI).
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.