Job Description The Senior BI Analytics Engineer will design and deliver enterprise-grade BI, analytics, and predictive modeling solutions using Power BI, Snowflake, and modern machine learning frameworks. This individual will be responsible for building optimized data models that power visualizations, developing predictive analytics, and enabling scalable self‑service reporting across the organization. They will frequently work directly with business partners and developers to gather requirements, ask clarifying questions, and translate needs into actionable insights. Key Responsibilities: • Design, develop, and maintain enterprise BI and analytics solutions using Power BI and Snowflake • Build optimized Power BI semantic models, datasets, DAX measures, and data transformations • Develop Snowflake data models to support analytics and reporting workflows • Write complex, high‑performance SQL queries and tune Snowflake workloads • Design and implement predictive models (regression, classification, forecasting, clustering) • Develop, train, evaluate, and deploy machine learning models into production • Translate business questions into reporting requirements, KPIs, and analytics solutions • Perform feature engineering, model validation, and ongoing ML performance monitoring • Collaborate closely with data engineers, data scientists, and business stakeholders • Ensure data accuracy, governance, and security across BI and analytics platforms • Automate analytics workflows and reporting pipelines • Mentor junior BI and analytics team members (optional—remove if not needed) Compensation for this role is $50-$57 per hour, and may vary based on experience, skills, and qualifications. Benefit packages begin on Day 1 and include medical, dental, and vision insurance, HSA/FSA/DCFSA options, and 401(k) retirement account access with employer matching. Employees are also entitled to paid sick leave and other paid time off as required by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • 7+ years in BI, analytics engineering, or data analytics roles • Deep hands‑on expertise in Power BI, including: – DAX, Power Query (M) – Data modeling & performance optimization – Designing semantic models behind enterprise dashboards • Extensive Snowflake experience including analytics modeling, query tuning, and cost management • Advanced SQL skills • Proficiency in Python or R for analytics and ML development • Experience with ML frameworks such as scikit‑learn, TensorFlow, or PyTorch • Strong understanding of statistical analysis and predictive modeling techniques • Experience with ETL/ELT concepts and analytics engineering workflows • Familiarity with Git and CI/CD processes for analytics or ML solutions • Excellent communication skills and ability to work directly with business stakeholders • Hands‑on experience deploying ML models in production (remove if client doesn’t truly need this level) • Experience in healthcare or regulated environments • Experience with data governance or metric‑layer ownership • Background in ML Ops or feature store tooling (optional — niche skill)