Mindlance
Overview
We are seeking a highly skilled Senior Data Analyst to lead the migration of on-premises data sources to a modern Lakehouse architecture leveraging Databricks. This role requires advanced technical expertise in SQL, Python, SSRS, and Tableau, along with a meticulous approach to data quality assurance. The ideal candidate will also be responsible for creating and monitoring business-owned datasets to support analytics and reporting needs. Responsibilities
Convert on-premises data sources into Lakehouse-compatible structures using Databricks. Develop and optimize ETL pipelines for efficient data ingestion and transformation. Write robust Python scripts for data processing, validation, and automation tasks. Implement reusable code modules for scalability and maintainability. Design and develop SSRS reports and Tableau dashboards to deliver actionable insights. Ensure reports and dashboards are accurate, timely, and aligned with business requirements. Perform intensive data quality checks to ensure accuracy, completeness, and consistency. Document and enforce data validation rules and standards. Develop, maintain, and monitor curated datasets for business consumption. Collaborate with business teams to understand requirements and ensure data availability. Technical Expertise
5+ Years - Strong proficiency in SQL for complex queries, optimization, and data modeling. 3+ Years - Advanced Python skills for data manipulation, automation, and integration. Hands-on experience with Databricks and Lakehouse architecture. 5+ Years - Expertise in SSRS for report development and deployment. 2+ Years - Proficiency in Tableau for interactive dashboards and data visualization. Data Quality
Experience in implementing data validation frameworks and performing root cause analysis for data issues. Soft Skills
Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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We are seeking a highly skilled Senior Data Analyst to lead the migration of on-premises data sources to a modern Lakehouse architecture leveraging Databricks. This role requires advanced technical expertise in SQL, Python, SSRS, and Tableau, along with a meticulous approach to data quality assurance. The ideal candidate will also be responsible for creating and monitoring business-owned datasets to support analytics and reporting needs. Responsibilities
Convert on-premises data sources into Lakehouse-compatible structures using Databricks. Develop and optimize ETL pipelines for efficient data ingestion and transformation. Write robust Python scripts for data processing, validation, and automation tasks. Implement reusable code modules for scalability and maintainability. Design and develop SSRS reports and Tableau dashboards to deliver actionable insights. Ensure reports and dashboards are accurate, timely, and aligned with business requirements. Perform intensive data quality checks to ensure accuracy, completeness, and consistency. Document and enforce data validation rules and standards. Develop, maintain, and monitor curated datasets for business consumption. Collaborate with business teams to understand requirements and ensure data availability. Technical Expertise
5+ Years - Strong proficiency in SQL for complex queries, optimization, and data modeling. 3+ Years - Advanced Python skills for data manipulation, automation, and integration. Hands-on experience with Databricks and Lakehouse architecture. 5+ Years - Expertise in SSRS for report development and deployment. 2+ Years - Proficiency in Tableau for interactive dashboards and data visualization. Data Quality
Experience in implementing data validation frameworks and performing root cause analysis for data issues. Soft Skills
Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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