Develop and maintain dashboards, scorecards, and data visualizations using tools such as Tableau, Power BI, or similar platforms.
Use SQL, Alteryx, Python, or other analytics tools to manage, transform, and analyze complex datasets.
Apply AI/ML techniques (e.g., predictive modeling, clustering, NLP, forecasting) to support business decision‑making and uncover new opportunities.
Automate manual processes and build scalable, repeatable data workflows that improve efficiency and data quality.
Collaborate with cross‑functional partners to gather requirements, translate business needs into analytical solutions, and adapt to shifting priorities.
Communicate insights clearly and effectively to technical and non‑technical stakeholders through presentations, reports, and data storytelling.
Contribute to the design and enhancement of data platforms, analytics processes, and governance practices.
Mentor junior analysts and support the development of best practices across the analytics team.

Bachelor’s degree in a related field preferred (e.g., Data Science, Analytics, Statistics, Computer Science, Business) or equivalent experience
8–12 years of experience in analytics, business intelligence, or a related field preferred
Strong proficiency in SQL and at least one analytics or automation tool (e.g., Alteryx, Python, R).
Experience with AI/ML concepts and tools (e.g., scikit‑learn, TensorFlow, Azure ML, or similar).
Demonstrated ability to translate business questions into analytical solutions.
Experience building dashboards and visualizations using Tableau, Looker, Power BI, or similar tools.
Excellent communication, collaboration, and project management skills.
Ability to work independently on complex, high‑impact projects with minimal guidance.

Senior Data Analyst, Data Analytics

Key skills