Analytic Insights - Data Engineer - Senior Associate

Pwc Birmingham , AL 35202

Posted 2 months ago

A career in National Special Functions, within Internal Firm Services, will provide you with the opportunity to support service, sector, and market leaders deliver the unique PwC client experience to our clients. You'll play an important part in continuously innovating and improving Firm operations so that we can continue to provide the highest quality of services to our current and prospective clients. Our Analytics Insights team is responsible for serving as a strategic business partner for an assigned customer to identify and pursue new opportunities, conduct market analysis, and prepare revenue projections. You'll also develop new service offerings and solutions, enhance existing delivery capabilities, and support the delivery of solutions on engagements.

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.

This team creates and tests data flowing and processing on existing big platforms as well as work with internal technology and data teams to efficiently use data resources. They also work closely with data scientists and analysts to build and meet requirements for projects.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Minimum Years of Experience:
2 year(s)

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates thorough knowledge and/or a proven record of success in the following areas:

  • Working with information technology and business intelligence platforms;

  • Possessing experience with big data coding methodologies including spark, pyspark, sql;

  • Demonstrating experience with ETL tools, including PDI, SSIS, Informatica, SnapLogic, Sqoop and others;

  • Understanding scientific approaches to extract insights from data to developing predictive models;

  • Leveraging modeling, analytics, statistical capabilities, and statistical software (R, Python);

  • Creating and automating analytic modeling and monitoring of key business drivers;

  • Managing activities around client support, risk mitigation on a product, deliverable and project basis, and the quality of delivered products by adhering to the unit's quality review protocol;

  • Taking an active part in building a personal knowledge base through proactive data analysis activities and efforts in order to build product deliverables either individually or with client service teams;

  • Delivering relevant and value added insights from data in a team environment;

  • Leveraging multiple software packages to efficiently support analytic techniques and execute in both standard point-and-click and customized code-based settings;

  • Supporting both traditional statistical techniques as well as machine learning and artificial intelligence approaches, with thorough ability to understand when and how to apply all approaches to deliver optimal solutions;

  • Implementing quality control mechanisms on data process and establish accurate interpretation and transformation;

  • Consulting on industry leading practices for utilizing existing infrastructure and identify existing gaps and potential pitfalls for future endeavours;

  • Developing data subject matter specialization to most efficiently assist in projects;

  • Utilizing automation (RPA) and design processes to build upon prior successes;

  • Leveraging analytics methodologies and tools;

  • Establishing personal networks relevant to the industry;

  • Exhibiting team commitment and the willingness to support the team in the attainment organizational goals; and,

  • Guiding and developing others in the group and across the Analytic Insights organization and the Firm who are new to the industry or subject matter.

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.


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Analytic Insights - Data Engineer - Senior Associate

Pwc