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Moderate competition from mid-senior analytics talent with broad BI/ML skills in an attractive corporate employer.
Medium — technical skills transferable but forecasting and BI domain experience increases domain specificity.
High — explicit 8–10 years plus mandatory BI, ML operationalization, Python/SQL, and observability experience.
Own development and operationalization of production-ready forecasting systems and analytical tools that enhance business decision-making at scale.
Drive technical innovation by integrating ML models with BI tools and building custom data applications for insight delivery.
Ensure reliability and maintainability of analytical solutions through monitoring, automation, and documentation.
8-10 years experience in BI tooling and machine learning model operationalization or strong data/analytics experience.
Proficient in Python and SQL with experience working on complex data structures.
Experience with data quality checks, monitoring, alerting, and building internal-facing tools or applications using low code/no code platforms.
Work Experience Required: 8-10 years in relevant technical roles.
Experienced in end-to-end product engineering of analytical and forecasting systems in a business intelligence context.
Operates with a balance of hands-on development and technical guidance, delivering quickly while enabling scalability.
Comfortable working in cross-functional teams including BI, data science, and IT to align technical solutions with business priorities.