Manager, Advisory (Multiple Positions), Philadelphia, PA

Utilize data analytics tools to explore data, identify key trends, and develop Key Performance Indicators (KPIs) and other metrics to create diagnostic, predictive, and prescriptive insights. Collaborate with cross-disciplinary teams to transform client ideations and business requirements into effective data analytics visualizations to understand user profiles, competencies, and priorities. Provide User experience inputs to data analytics team on report, screen, and dashboard design. Iterate, prototype, and implement visualizations that meet clients' needs, considering composition, color, texture, and optimizing the depth and information density for the target user. Leverage visualization technology from data discovery and dashboard prototyping to productionize large scale visual analytics platform implementation, and perform tuning and optimization. Perform Statistical Natural Language Processing to mine unstructured data. Perform exploratory data analysis, generate and test working hypotheses, and uncover trends and relationships. Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods.

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, Computer Science, Business Analytics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent in Data Science, Computer Science, Business Analytics, 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: Developing and utilizing data analytics tools to derive insights, KPIs, and metrics for visualizations; Utilizing ETL tools for visualizations, including Power BI, Alteryx, Informatica, SPSS, R, Python, Qlik, and Tableau Prep; Building, architecting, developing, and optimizing Big Data pipelines, architectures, and data sets; Data management and integration; Utilizing SQL, relational databases, and query authoring to perform data tasks; Utilizing cloud data technology, including Redshift, Snowflake, Azure DW, and BigQuery; and Architecting and analyzing data within a cloud environment.

Of the required experience, must have 1 year of experience with the following: Command-line scripting, data structures, and algorithms; Analyzing and modeling structured data and implementing algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research; and Time series models that are used for data sets.

Travel to various locations throughout the US required up to 30%.

Travel to various international locations required up to 5%.

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 123060 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".