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Daniels Health

Business Intelligence Manager

Daniels Health, Chicago, Illinois, United States, 60290

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3 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. This range is provided by Daniels Health. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $125,000.00/yr - $150,000.00/yr Role Overview We are seeking an experienced Business Intelligence Manager to lead the development and execution of our business intelligence strategy, overseeing the design, implementation, and optimization of BI solutions within our Databricks Data Lakehouse environment. This role will manage a team of data engineers, data analysts, and data scientist, collaborate with cross-functional stakeholders, and deliver scalable dashboards, reports, and insights to drive business performance. The ideal candidate is an experienced leader with expertise in BI tools, Databricks, and data analytics, capable of translating complex data into actionable business strategies. Role Overview We are seeking an experienced Business Intelligence Manager to lead the development and execution of our business intelligence strategy, overseeing the design, implementation, and optimization of BI solutions within our Databricks Data Lakehouse environment. This role will manage a team of data engineers, data analysts, and data scientist, collaborate with cross-functional stakeholders, and deliver scalable dashboards, reports, and insights to drive business performance. The ideal candidate is an experienced leader with expertise in BI tools, Databricks, and data analytics, capable of translating complex data into actionable business strategies. Candidate Profile

Skills & Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field3+ years of experience in data science, with a focus on AI and machine learningHands-on experience with Databricks, including notebooks, MLflow, and Spark MLProven track record of building and deploying machine learning models in a production environmentProficiency in Python and/or R for data science workflowsStrong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Experience with SQL for querying data in Databricks SQL AnalyticsFamiliarity with Delta Lake and Apache Spark for large-scale data processing.Understanding of cloud platforms (AWS, Azure, or GCP) hosting Databricks.Experience integrating AI models with BI tools like Tableau, Power BI, or Databricks’ visualization toolsDatabricks Certified Data Scientist or Data Engineer certification is a plusExcellent communication skills to translate technical insights for non-technical stakeholdersStrong problem-solving and analytical skillsAbility to work collaboratively in a cross-functional team Work Environment Occasional travel necessary to accommodate for global and regional meetings, workshops or trainingAbility to occasionally join calls before / after traditional office hours

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. Seniority level

Seniority levelNot Applicable Employment type

Employment typeFull-time Job function

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