Senior Data Analyst - TES Data and Analytics
$88,000–$158,000 year
HybridBrooklyn Park, Minnesota, United States
Job Summary
Conduct deep-dive analyses to uncover process inefficiencies and propose data-driven solutions by applying AI-enabled analysis techniques to transform unstructured data sources. Build prototype statistical models and algorithms to enhance forecasting accuracy while developing user-friendly dashboards that serve actionable insights to service center and enterprise partner teams. Create KPIs and metrics that accurately measure performance, partnering with enterprise analytics teams to ensure cohesiveness across the reporting portfolio. Translate complex analytics into clear, actionable business insights through compelling presentations and storytelling, while mentoring team members and fostering strong cross-functional relationships. This role operates as a Hybrid/Flex for Your Day arrangement, requiring core duties to be performed both onsite at Target HQ MN and virtually based on daily team needs.
Required Qualifications
- Bachelor's degree in Data Science, Business Analytics, Statistics, or related field
- 5+ years of experience in data analytics, with a track record of solving complex business problems
- Advanced skills in tools and programming languages such as SQL, Python, R, and data visualization tools (e.g., Looker, Power BI)
- Practical experience leveraging large language models and AI prompt engineering to help analyze and categorize data
- Proven experience in developing metrics, KPIs, and reporting frameworks
- Ability to translate data into actionable insights and effectively communicate findings to stakeholders
- Strong analytical mindset with the ability to identify root causes and recommend solutions
- Ability to work across both modern and immature data
- Excellent collaboration skills and experience working with cross-functional teams
- Continually updates knowledge of new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance
- Familiarity with service center analytics
- Experience building statistical models or algorithms to improve forecasting
- Knowledge of systems like GCP, Looker, Power BI, and Git
Desired Qualifications
- Demonstrated ability to mentor and support junior team members in analytics
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