Lead Specialist - Analytics, Advisory (Multiple Positions), Atlanta, GA

Uncover business insights by collecting, processing, and analyzing raw data for clients in a variety of industries, with a focus on Healthcare and Life Sciences. Support the development of big data analytics and cloud-based applications using data-oriented programming languages. Design, build, test, launch, optimize, and extend full-stack data and business intelligence solutions spanning extraction, storage, complex transformation, and visualization layers. Support build of big data environments that enable analytics solutions on a variety of big data platforms. Assess, capture, and translate complex business issues and solution requirements into structured technical tasks for the data engineering team. Provide technical guidance to more junior team members. Assess the usefulness of new technologies and advocate for their adoption. Serve as the primary point of contact for questions and escalations related to data architecture, handling, processing, storage, and solutions, including solutions that comply with HIPPA and the HITECH Act. Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test exploratory analyses that reveal data-based insights, identify business opportunities, and facilitate M&A deals for clients in Healthcare and Life Sciences.

WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m. - 5:00 p.m.)

JOB REQUIREMENTS:

Must have a Master's degree or foreign equivalent in Data Science, Statistics, Computer Science, Biotechnology, Life Sciences, Mathematics, Economics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent in Data Science, Statistics, Computer Science, Biotechnology, Life Sciences, Mathematics, Economics, or a related field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 2 years of experience with the following: Working in the healthcare claims domain; Analyzing CMS-LDS datasets to build solutions targeted towards lowering claim processing time, maximizing revenue collection, exploring new markets, and performing ad-hoc analysis to answer questions to facilitate M&A deals; Handling, securely processing, and storing Healthcare and Life Sciences data, including PHI and PII information; Creating data solutions that comply with HIPAA and the HITECH Act; Creating and maintaining ETL and ELT pipelines; Performing operational programming tasks, including version control and CI/CD; Testing and quality assurance within cloud platforms, including AWS, Azure, or GCP; Apache data projects, including Hadoop, Spark, Hive, or Airflow; Utilizing Databricks, Azure Data Lake Storage, and Azure Data Factory; SDLC methodologies, including Agile and Azure DevOps; and Using Python, Scala, R, Java, Golang, Kotlin, C, or C++.

Travel to various locations throughout the US required up to 20%.

Telecommuting may be permitted within commutable distance from the office location, depending on business need.

Employer will accept any suitable combination of education, training, or experience.

QUALIFIED APPLICANTS:

Apply online at https://www.kpmguscareers.com/job-search and type requisition number 124129 in the keyword search box for Experienced Professionals. Should you have any difficulty in applying for this position through our website, please contact us-hrscatsadmin@kpmg.com for assistance in the application process.

Must have legal right to work in U.S. if offered employment.

Comprehensive compensation & benefits offered.

KPMG is an EOE/disability/veteran and maintains a drug-free workplace.

No phone calls or agencies.

KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work".