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Senior Associate, Federal Data Analyst

KPMG LLP
McLean, USA
Full-time
Senior · 3+ years experience
Onsite
Discovered Yesterday
PythonRAlteryxSQLSAS
Free

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Description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Associate to join our Federal Advisory practice.

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 offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG’s compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Health

KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.

Personal Time Off (PTO)

Up to 25 PTO Days per year (depending on job classification/level/years of service).

Financial

401(k) Capital Accumulation Plan

Dependent Care Flexible Spending Account

Health Care Flexible Spending Account

Mortgage Assistance Program

HomeBenefits@Work Program

MetLife Legal Plan

* Benefits vary by employment status.

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