Senior Learning Data Analyst
SECU · Raleigh-Durham-Chapel Hill Area · 1 mo ago
Information TechnologyFull-time
Responsibilities
- Analyzing data from various sources such as employee feedback surveys, training records, and performance metrics to identify trends that inform our departmental strategies.
- Developing visually engaging dashboards and presentations to effectively communicate organizational performance, project progress, and internal brand effectiveness.
- Leveraging predictive analytics and advanced techniques to automate reporting processes, validate data accuracy, and provide real-time insights to enhance decision-making within the L&D department.
- Collaborating cross-functionally to design and administer surveys and evaluations that capture diverse perspectives and experiences. Analyzing survey results to derive actionable insights that drive program improvements.
- Continually seeking to improve business acumen with continuous learning and following industry trends and participating in spreading that knowledge with colleges throughout the organization.
- Continuously refining and optimizing data analytics processes and models to align with evolving priorities, leveraging industry best practices and emerging trends to position our organization as a leader in L&D.
Requirements
- 5 years of relevant experience.
- Bachelor's degree in acceptable fields of study, Data Analytics, Statistics, Instructional Design, Computer Science. Additional 5 years of relevant experience can be considered in lieu of degree.
- Data Analytics to create reports and build dashboards to provide ROI and impact metrics to executive teams.
- Familiarity with creating reports and dashboards in data analytics tools such as Tableau, webFOCUS, PowerBI or similar.
- Proficiency with Excel for data comparisons, functions, data management.
- Ability to handle and prioritize multiple tasks and projects concurrently, set and meet deadlines.
- Self-starter and solution oriented.
- Ability to track through long-term projects to completion, self-regulating to meet goals and deadlines.
Preferred Experience
- 5 years of relevant experience.
- Bachelor's degree in acceptable fields of study, Data Analytics, Statistics, Instructional Design, Computer Science. Additional 5 years of relevant experience can be considered in lieu of degree.
- Instructional design to work with team to define evaluation methods for program impact and success.
- Knowledge of evaluation and survey design and delivery.
- Critical thinking to identify business needs and create solutions.
- Communication to work with IT teams, vendors and learning developers.