Data Analyst(Onsite Position) - Raleigh,North Carolina

Overview

On Site
$27 - $37
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

data analysis
preferably in government
auditing
financial sectors.
SQL
Python
R
Tableau
Power BI
data visualization tools
auditing principles
governmental accounting
financial regulations.
machine learning
data mining
predictive analytics.

Job Details

Role : Data Analyst

Client : State of North Carolina(NCOSA)

Work Type : Onsite

Location: Raleigh,North Carolina

Duration : 12 Months(Extendable)

Payrate : 37$ Per Hour

eSystems Inc. is a fast-growing Systems Integrator based in Princeton, New Jersey. We provide strategic IT solutions and services with primary practice areas in Java and Microsoft centric e-Business solutions, ERP solutions, Enterprise Application Integration, Data Warehousing and Business Intelligence solutions.

Our clients include Fortune 500 corporations, government agencies, small and mid-sized local businesses, and non-profit organizations.

As an equal opportunity employer, eSystems complies with all applicable laws, rules and regulations preventing discrimination against job applicants based on: race, ethnicity, religious beliefs, gender, gender identity, age, veteran status, marital status, physical challenges, or any other relevant factor

THE JD and the required skillset are below. Please make sure that the suitable candidate has atleast 90% of the skillset mentioned

The Data Analyst will play a key role in supporting audit activities by collecting, processing, and analyzing data from various state agencies. The ideal candidate will possess strong analytical skills, attention to detail, and experience with analytics tools and common coding languages.This role involves working closely with auditors, investigators, and state agencies to provide actionable insights that drive decision-making.


Key Responsibilities

  • Collect, clean, and analyze large datasets from various state government agencies.
  • Identify trends, anomalies, and patterns in financial and operational data.
  • Develop data models, dashboards, and visualizations to support audit findings and reports.
  • Collaborate with audit teams to provide data-driven insights
  • Assist in the automation of data analysis and reporting processes.
  • Ensure data integrity, security, and compliance with state and federal regulations.
  • Present findings and recommendations to internal and external stakeholders.
  • Contribute to the development of predictive models and risk assessments to detect fraud, waste, and inefficiencies in government programs


Qualifications

  • Bachelor s degree in Data Science, Statistics, Computer Science, Finance, Business Analytics, or a related field. A Master s degree is a plus.
  • 3+ years of experience in data analysis, preferably in government, auditing, or financial sectors.
  • Proficiency in SQL, Python, R, or other programming languages for data analysis.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong problem-solving skills and the ability to communicate complex data insights clearly.
  • Knowledge of auditing principles, governmental accounting, or financial regulations is preferred.
  • Familiarity with machine learning, data mining or predictive analytics is a plus.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • Excellent attention to detail, organizational skills, and the ability to meet deadlines.

Skill

Required / DesiredAmount(Years)

Experience in data analysis, preferably in government, auditing, or financial sectors.

Required3

Proficiency in SQL, Python, R, or other programming languages for data analysis

Required3

Experience with data visualization tools such as Tableau, Power BI, or similar

Required3

Knowledge of auditing principles, governmental accounting, or financial regulations.

Highly desired3

Familiarity with machine learning, data mining or predictive analytics.

Highly desired3

Bachelor s degree in Data Science, Statistics, Computer Science, Finance, Business Analytics, or a related field. A Master s degree is a plus

Required

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