Senior Associate, Federal Data Analyst

KPMG

$95K — $115K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of 3 years of experience in data engineering or analytics
  • Bachelor's degree from an accredited institution
  • Proficient in data analysis and wrangling with Python, SQL, R, Alteryx, or SAS
  • Basic understanding of data science and machine learning principles
  • Willingness to travel as necessary for client support
  • Mandatory U.S. Government Secret clearance

Responsibilities

  • Lead client solution delivery using analytics and data processing techniques
  • Extract insights from data with various analytical tools
  • Prepare data for analysis through cleansing, integration, and transformation
  • Collect and clarify analytic requirements from clients
  • Create documentation and guides for analytics tools and practices
  • Conduct technical writing and review documentation for leadership
  • Oversee development and ensure quality control of analytics solutions

Benefits

  • Comprehensive medical and dental plans
  • Vision insurance coverage
  • Disability and life insurance offerings
  • 401(k) retirement plans
  • Personal well-being benefits supporting mental health
  • Generous Personal Time Off and designated holiday breaks
Full Job Description
Responsibilities:
  • Lead delivery of client solutions using analytics, exploratory data analysis, data wrangling, and ETL
  • Derive insights from data using analytics and data wrangling tools (e.g., Python, R, Alteryx, SQL, SAS)
  • Perform operations to prepare data for analysis (e.g., data cleansing, data integration, data transformation)
  • Gather analytic requirements from client and brief technical and non-technical audiences on analytic results
  • Develop documentation and guides for analytics usage and maintenance
  • Technical writing and document review for GDA Leadership (e.g., Bullet Background Papers (BBPs), memos, research reports, analysis findings, etc.)
  • Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions

Qualifications:
  • A minimum of three years of data engineering / analytics experience
  • Bachelor's degree from an accredited college / university
  • Experience in analyzing and wrangling data using Python, SQL, R, Alteryx, SAS, or other commonly used software
  • Basic knowledge of data science and machine learning concepts and techniques
  • Ability to travel as required to support firm engagements
  • Applicant must possess a U.S. Government Secret clearance


KPMG LLP and its affiliates and subsidiaries ("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, KPMG 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 KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two 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 .

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_4_26

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