The Mid-Level Data Analyst is responsible for supporting technical design, conducting design reviews, and ensuring application requirements and standards are met. This role involves managing data sets, ensuring data quality, and creating detailed reports and visualizations. The Mid-Level Data Analyst collaborates closely with the OCM team and stakeholders to understand their objectives and to drive data-informed decision-making processes within the organization. This individual will provide data interpretation and analytics support to translate insights into actionable changes.
Requirements
- Strong understanding of data analysis methods, statistical modeling, and data visualization.
- Proficiency in data analytics tools and software (e.g., Excel, SQL, Python, R, Tableau).
- Advanced data analysis, reporting, and visualization skills.
- Leverage a variety of data visualization and BI tools (e.g., Tableau, Power BI, Excel) along with scripting languages such as Python, R, or SQL to transform data into meaningful insights for stakeholders based on Government requirements
- Monitor the quality and accuracy of data, interpret and troubleshoot any issues, and resolve discrepancies to ensure data integrity and meaningful information
- Proficiency in configuration, customization, APIs, ACLs, and advanced scripting
- Understanding basics of data quality, including integrity and reliability
Responsibilities
- Normalize, interpret, and translate large volumes of data
- Apply various data analysis techniques (e.g., comparison to historic data, external research, within similar datasets; trend or visualize data; create pivot table views) to derive usable information about the dataset
- Conduct research or identify sources to contextualize data for interpretation
- Create visual aids, charts, and presentations to layman’s terms and explanations as requested by customers and for a diverse range of audiences (including executive briefings, Town Halls, Industry Sync meetings, etc )
- Develop data call templates to ensure high quality
- Connect data points across multiple sources to infer information about stakeholder sentiment, behavior, attitudes, needs, and implications for the team
- Translate data observations, trends, and insights into presentations (e.g., create charts, visualizations, pivoting, etc.)
Other
- Excellent written and verbal communication skills, with the ability to craft and deliver high-quality communication products
- Excellent verbal, written, and interpersonal communication skills, with the ability to present complex data clearly.
- Strong ability to interact with employees, management, and vendors at all levels
- Demonstrated skill in taking initiative, showing sound judgment, and making the decision
- Bachelor’s degree in Data Science , Statistics, Computer Science, or a related field.
