Job Description

A career in our Analytics Technology practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. Youll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, youll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

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:
Bachelor Degree

Required Fields of Study:
Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics

Additional Educational Requirements:

Other quantitative fields of study may be considered

Minimum Years of Experience:
3 year(s)

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates thorough knowledge of, and proven success with a role, executing various aspects of the business or information technology-related client engagements and/or projects within a professional services environment, including knowledge of an industry or functional domain and specialization in many of the following areas:

* S3, Amazon RDS for PostgreSQL, Redshift;
* AWS SFTP, Database Migration Service, DataSync, Schema Conversion Tool;
* Lambda, Step Functions, Serverless FW, DynamoDB;
* VPC, EC2, IAM, KMS and Cloud Formation;
* Simple Notification Service, CloudWatch, CloudTrail, KMS;
* Proficient in SQL;
* Responsible for developing workflows to ingest data from various types of source systems into S3, RDS & DynamoDB. Should be able to write automated processes to ingest data from source system APIs, batch data feeds, on-premise databases, etc.;
* Should have in-depth product knowledge of VPC, EC2, IAM, KMS and Cloud Formation;
* Demonstrate ability to design serverless, event driven architectures to ingest data, wherever applicable;
* Demonstrate experience with Lambda, Step Functions, Serverless/SAM framework, DynamoDB;
* Demonstrate experience with Devops processes and building CI/CD pipelines;
* Demonstrate knowledge of Python/R and SQL;
* Statistical Analysis and Techniques;
* Customer, Product and Pricing Analysis; and,
* Business and Operations Analysis within marketing, operations, or risk analysis using quantitative techniques.

Demonstrates significant experience working with analytical models or techniques and the ability to apply such methods to an applicable challenge within the larger field of specialization. This background should include:

* Visualization techniques and tools;
* Advanced analytics techniques (regression, simulation, etc.);
* Applicable sources of external, internal or new data sources to support analytic methods and visualization techniques; and,
* Healthcare, Insurance, Financial Services, Customer an industrial Products and Services, Manufacturing or Telecom Industries.

Demonstrates thorough skills and/or proven success in a role participating in consulting-related projects within a professional services environment that utilize creative thinking skills and individual initiative, including the following:

* Analyzing large and complex data sets, including a demonstrated thorough aptitude for conducting quantitative and qualitative analyses;
* Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback;
* Identifying and addressing client needs, building relationships with clients, developing requests for information, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor;
* Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;
* Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance;
* Understanding how the application of analytical techniques correlated to business value; and,
* Being able to select the appropriate analytical techniques for the problem at hand.