Business Analytics Analyst Lead
Business Analytics Analyst Lead
Posted on :
14-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
14-06-2025
Job Description
Job Summary
The Business Analytics Analyst Lead involves leading the design development and optimization of complex data pipelines and multi-dimensional data models within a lakehouse environment utilizing Apache Spark or PySpark for scalable data processing and advanced transformations. The individual ensures seamless integration into enterprise-level architectures enhances system performance and scalability and drives process improvements by delivering strategic recommendations to senior management. They guide data teams in developing optimized cost-effective BI solutions participate in data governance and promote innovative data practices while maintaining high performance and accuracy standards across the organization.
Essential Duties And Responsibilities
Leads the design development and optimization of complex data pipelines and workflows within the lakehouse environment using Apache Spark or PySpark for scalable data processing ETL / ELT tasks and advanced data transformations. Ensures smooth integration within enterprise-level data lakehouse architectures and drives efforts to enhance system performance and scalability across the organization. Designs develops tests and implements advanced multi-dimensional data models customizations and integrations within the lakehouse environment. Utilizes high-performance computing resources to ensure optimal performance scalability and data accuracy. Identifies and leads process improvement initiatives delivering detailed assessments business cases and strategic recommendations to senior management. Guides data teams in developing data models BI solutions and best practices for implementing scalable cost-effective and optimized data solutions within the lakehouse platform. Participates in data governance efforts and ensures performance standards are met across the organization. Promotes the adoption of innovative data solutions and ensures best practices are followed throughout all analytical processes. Performs other duties as assigned.
Minimum Qualifications
Bachelors degree or higher in Computer Science Data Science or a related discipline. Ten or more years of experience in data-related fields. Proven expertise in developing data architectures models and pipelines. Proficiency in Databricks and at least two (2) of the following tools: Python SQL Apache Spark SAS R or similar. Experience in building scalable data systems and analytical solutions in large-scale environments. Professional expertise in managing analytical warehouses ensuring the accuracy integrity and scalability of all data-driven solutions.
Preferred Qualifications
Masters degree or higher in Computer Science Data Science or a related field. Fifteen ore more years of experience in programming within large-scale enterprise data environments. Expertise in SQL Python Apache Spark or PySpark with a deep understanding of data lakehouse platforms scalable data processing and ETL / ELT pipelines. Experience with advanced analytics machine learning models and predictive modeling familiarity with Natural Language Processing ( NLP ) and unstructured data analytics is a plus. Extensive experience across all layers of analytics from data warehouse operations to data modeling and through to BI and AI layers. Extensive experience with BI tools (e.g. Databricks Tableau SAS OAC Qlik Strategy) to deliver actionable insights to leadership and stakeholders. Expertise in version control systems like Git for collaborative development.
Work Schedule
Monday Friday; 8:00am 5:00pm
The Business Analytics Analyst Lead involves leading the design development and optimization of complex data pipelines and multi-dimensional data models within a lakehouse environment utilizing Apache Spark or PySpark for scalable data processing and advanced transformations. The individual ensures seamless integration into enterprise-level architectures enhances system performance and scalability and drives process improvements by delivering strategic recommendations to senior management. They guide data teams in developing optimized cost-effective BI solutions participate in data governance and promote innovative data practices while maintaining high performance and accuracy standards across the organization.
Essential Duties And Responsibilities
Leads the design development and optimization of complex data pipelines and workflows within the lakehouse environment using Apache Spark or PySpark for scalable data processing ETL / ELT tasks and advanced data transformations. Ensures smooth integration within enterprise-level data lakehouse architectures and drives efforts to enhance system performance and scalability across the organization. Designs develops tests and implements advanced multi-dimensional data models customizations and integrations within the lakehouse environment. Utilizes high-performance computing resources to ensure optimal performance scalability and data accuracy. Identifies and leads process improvement initiatives delivering detailed assessments business cases and strategic recommendations to senior management. Guides data teams in developing data models BI solutions and best practices for implementing scalable cost-effective and optimized data solutions within the lakehouse platform. Participates in data governance efforts and ensures performance standards are met across the organization. Promotes the adoption of innovative data solutions and ensures best practices are followed throughout all analytical processes. Performs other duties as assigned.
Minimum Qualifications
Bachelors degree or higher in Computer Science Data Science or a related discipline. Ten or more years of experience in data-related fields. Proven expertise in developing data architectures models and pipelines. Proficiency in Databricks and at least two (2) of the following tools: Python SQL Apache Spark SAS R or similar. Experience in building scalable data systems and analytical solutions in large-scale environments. Professional expertise in managing analytical warehouses ensuring the accuracy integrity and scalability of all data-driven solutions.
Preferred Qualifications
Masters degree or higher in Computer Science Data Science or a related field. Fifteen ore more years of experience in programming within large-scale enterprise data environments. Expertise in SQL Python Apache Spark or PySpark with a deep understanding of data lakehouse platforms scalable data processing and ETL / ELT pipelines. Experience with advanced analytics machine learning models and predictive modeling familiarity with Natural Language Processing ( NLP ) and unstructured data analytics is a plus. Extensive experience across all layers of analytics from data warehouse operations to data modeling and through to BI and AI layers. Extensive experience with BI tools (e.g. Databricks Tableau SAS OAC Qlik Strategy) to deliver actionable insights to leadership and stakeholders. Expertise in version control systems like Git for collaborative development.
Work Schedule
Monday Friday; 8:00am 5:00pm
Required Experience:
IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
