Summary
ITA International is a tech-enabled professional services company that provides data- and technology-enabled solutions across multiple technical domains. The Data Analyst II will collect, analyze, and interpret data to generate actionable insights, develop reports and visualizations, standardize datasets, and support data-driven decision-making.
Responsibilities
- Identify and collect key performance data from various data sources
- Conduct analyses to identify trends and assess program effectiveness
- Develop reports and visualizations to effectively communicate findings to stakeholders
- Standardize data sets and structures for ease of access and manipulation
- Provide recommendations to enhance data collection processes and analysis methodologies
- Collaborate closely with team members to support data-driven decision-making
Skills
- • 3+ years of experience in data analysis or a similar role
- • Proficiency in data analysis tools and techniques (e.g., SQL, Python, or R)
- • Experience with data manipulation and transformation processes
- • Experience with data visualization software (e.g., Tableau, Power BI)
- • Strong understanding of statistical methods and analysis
- • Knowledge of machine learning and predictive analytics concepts
- • Bachelor's degree in a relevant field such as Statistics, Mathematics, Computer Science, or Economics
- • Excellent analytical and critical thinking skills
- • Ability to translate complex data sets into actionable insights
- • Ability to obtain and maintain an active Secret Clearance
- • Background in working with large datasets
- • Familiarity with Cloud Computing
- • Familiarity with AGILE development
- • Understanding of industry-specific metrics and performance indicators
Qualifications
Must Haves
- • 3+ years of experience in data analysis or a similar role
- • Proficiency in data analysis tools and techniques (e.g., SQL, Python, or R)
- • Experience with data manipulation and transformation processes
- • Experience with data visualization software (e.g., Tableau, Power BI)
- • Strong understanding of statistical methods and analysis
- • Knowledge of machine learning and predictive analytics concepts
- • Bachelor's degree in a relevant field such as Statistics, Mathematics, Computer Science, or Economics
- • Excellent analytical and critical thinking skills
- • Ability to translate complex data sets into actionable insights
- • Ability to obtain and maintain an active Secret Clearance
Nice to Haves
- • Background in working with large datasets
- • Familiarity with Cloud Computing
- • Familiarity with AGILE development
- • Understanding of industry-specific metrics and performance indicators
Benefits
- Medical, dental and vision plans
- Life Insurance
- Short Term Disability insurance (where applicable)
- Voluntary ancillary benefit options
- 401k retirement benefits with employer matching contributions