Manager, Advisory (Multiple Positions), Philadelphia, PA

KPMG Careers; Philadelphia (Philadelphia County); On-site; USD 80,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Data Analyst, where you will leverage data analytics tools to uncover key trends and develop impactful visualizations. In this role, you will collaborate with diverse teams to transform client ideas into actionable insights, utilizing advanced statistical methods and cloud technologies. Your expertise in data management and visualization will help drive strategic decisions and enhance user experiences. This dynamic environment encourages innovation and offers opportunities for professional growth, making it an exciting place to advance your career in data analytics.

Benefits

Comprehensive compensation & benefits

Flexible work schedule

Professional development opportunities

Health insurance

Retirement plan

Paid time off

Travel opportunities

Work-life balance

Qualifications

• Master's degree in Data Science or related field with relevant experience.
• Experience with data analytics tools and ETL processes.

Responsibilities

• Utilize data analytics tools to derive insights and develop KPIs.
• Collaborate with teams to create effective data visualizations.

Skills

Data Analytics

Statistical Analysis

Machine Learning

Natural Language Processing

Data Visualization

ETL Tools

Big Data Pipelines

SQL

Cloud Data Technology

Education

Master's in Data Science

Bachelor's in Data Science

Tools

Power BI

Alteryx

Informatica

SPSS

R

Python

Qlik

Tableau Prep

Redshift

Snowflake

Azure DW

BigQuery

Job description

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:

1. Developing and utilizing data analytics tools to derive insights, KPIs, and metrics for visualizations;
2. Utilizing ETL tools for visualizations, including Power BI, Alteryx, Informatica, SPSS, R, Python, Qlik, and Tableau Prep;
3. Building, architecting, developing, and optimizing Big Data pipelines, architectures, and data sets;
4. Data management and integration;
5. Utilizing SQL, relational databases, and query authoring to perform data tasks;
6. Utilizing cloud data technology, including Redshift, Snowflake, Azure DW, and BigQuery;
7. Architecting and analyzing data within a cloud environment.

Of the required experience, must have 1 year of experience with the following:

1. Command-line scripting, data structures, and algorithms;
2. 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;
3. 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 KPMG Careers 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 at [e-mail] 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.