Data Analyst

Key Responsibilities : Conduct data analysis, create data mappings, develop dashboards, and ensure data quality. Use Spark SQL within Databricks to query and analyze large datasets. Collaborate with data engineers to design and deliver high-quality data products. Develop detailed data mappings for integration and transformation of diverse data sources. Design and build dashboards using Power BI or Databricks visualization tools. Build Gold-layer data products for dashboards, APIs, and UI tools. Document data pipelines, mappings, models, and dashboard functionality. Perform statistical analysis, data mining, and machine learning to identify insights. Develop predictive models, algorithms, and advanced analytical tools. Skills & Experience : 3+ years of hands-on experience with Azure Databricks architecture in enterprise environments. 3+ years of experience with data science concepts, statistical learning, and machine learning algorithms. 3+ years of proficiency in SQL and Python for queries, data transformations, and dashboards. 3+ years of experience with dimensional modeling, ER modeling, normalization / denormalization, or Data Vault. 5+ years of excellent communication and collaboration skills. Preferred : Databricks Data Analyst Associate Certification. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship / immigration status, veteran status, or any other status protected under federal, state, or local law.