Database Analyst – Onsite Position Available In Wake, North Carolina

Database Analyst

• Onsite

Title:

Database Analyst

• Onsite

Description:

The Data Analyst will play a key role in supporting audit activities by collecting, processing, and analyzing data from various client . 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 client to provide actionable insights that drive decision-making.

Key Responsibilities:

Collect, clean, and analyze large datasets from various client.
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 the client 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.

Typical Experience:

36-60 months
Skill

• Required / Desired
• Amount of Experience
  Experience in data analysis, preferably in government, auditing, or financial sectors.
• Required
• 3 Years
  Proficiency in SQL, Python, R, or other programming languages for data analysis
• Required
• 3 Years
  Experience with data visualization tools such as Tableau, Power BI, or similar
• Required
• 3 Years
  Knowledge of auditing principles, governmental accounting, or financial regulations.
• Highly desired
• 3 Years
  Familiarity with machine learning, data mining or predictive analytics.
• Highly desired
• 3 Years
  Bachelor s degree in Data Science, Statistics, Computer Science, Finance, Business Analytics, or a related field. A Master s degree is a plus
• Required
  Mandatory skills:
  data analysis,
  government, auditing, financial sectors,
  SQL, Python, R,
  Tableau, Power BI,
  auditing principles, governmental accounting, financial regulations,
  machine learning, data mining, predictive analytics,
  collecting, processing, analyzing data, analytics tools,
  datasets, financial data, operational data, data models, data dashboards, data visualizations, data-driven insights, data integrity, data security, data compliance

VIVA USA

is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of

VIVA USA

shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.

Contact Details :

VIVA USA INC.

3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008
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Dice Id:

vivausa

Position Id:

BTNCD21