Data Analyst(Onsite Position) – Raleigh,North Carolina Position Available In Wake, North Carolina
Tallo's Job Summary: Data Analyst position available in Raleigh, North Carolina with a pay rate of $37 per hour. The role involves analyzing data from state agencies to support audit activities. Candidates should have a Bachelor's degree in Data Science or related field, 3+ years of experience in data analysis, proficiency in SQL, Python, and data visualization tools like Tableau. State of North Carolina (NCOSA) is the client.
Job Description
Data Analyst(Onsite Position) – Raleigh,North Carolina
Role :
Data Analyst
Client :
State of North Carolina(NCOSA)
Work Type :
Onsite
Location:
Raleigh,North Carolina
Duration :
12 Months(Extendable)
Payrate :
37$ 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 / Desired
Amount(Years)
Experience in data analysis, preferably in government, auditing, or financial sectors.
Required
3
Proficiency in SQL, Python, R, or other programming languages for data analysis
Required
3
Experience with data visualization tools such as Tableau, Power BI, or similar
Required
3
Knowledge of auditing principles, governmental accounting, or financial regulations.
Highly desired
3
Familiarity with machine learning, data mining or predictive analytics.
Highly desired
3
Bachelor s degree in Data Science, Statistics, Computer Science, Finance, Business Analytics, or a related field. A Master s degree is a plus
Required
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Dice Id:
10110650
Position Id:
8646799