About the role
Business Intelligence Analyst Permanent Position!
Job Summary:
Tasks and Activities: As a Business Intelligence Analyst, the beneficiary’s job duties will include:
● Responsible for initiating, planning, executing, and closing data engineering and business intelligence projects. Drive and ship all aspects of large, cross-functional data pipelines, analytics platforms, and dashboarding feature areas.
● Develop and execute data analytics plans, document requirements, define scope, risks, data governance deliverables, resource allocation, and timeline budgets.
● Plan, direct, and complete deep-dive analysis of data systems to support strategic business requirements and act as a crucial liaison between business stakeholders and IT/Data Engineering teams.
● Gather functional and technical data requirements for data warehouse enhancements, reporting tools, and new analytics projects.
● Drive metrics and KPI definitions sign-off and facilitate change orders for evolving data logic.
● Create "as is" and "to be" data models, architectural diagrams of data functionality, and reporting processes.
● Perform data gap analysis and create a structured roadmap to transition from the current siloed state to a mature, unified data ecosystem.
● Work closely with Solution Leads and Data Architects to turn raw business requirements into scalable analytics and reporting solutions.
● Collaborate with other regional analytics members on large, cross-functional, cross-regional data science and intelligence initiatives.
● Facilitate user testing and validation of all new dashboards, reports, and data models with Engineering Leads and Business Stakeholders.
● Appropriately escalate data quality risks, system anomalies, and project issues to management.
● Manage Sprint Planning for the BI team and coordinate with Data Engineering management to optimize ETL/ELT throughput and analyst resource utilization.
● Proactively and tactfully address data discrepancies and reporting concerns with cross-functional teams when data quality problems persist.
● Conduct User Acceptance Testing (UAT) sessions for reporting tools and design comprehensive Data Validation and Testing Strategies.
● Other related duties and responsibilities as may be assigned.
### Minimum Requirements:
• Bachelor’s degree in Computer Science, Information Systems, Information Technology, Business Analytics, Data Science, Engineering, Mathematics, Statistics, or a closely related field.
• Related experience in business intelligence, data analysis, reporting, dashboard development, and business data management.
• Strong experience working with SQL, data modeling, data warehousing concepts, and relational database management systems.
• Experience developing and maintaining dashboards, reports, and visualizations using business intelligence tools such as Power BI, Tableau, QlikView, or similar platforms.
• Strong knowledge of data analysis, data validation, data transformation, and data quality management techniques.
• Experience gathering business requirements, translating them into technical specifications, and delivering actionable insights to stakeholders.
• Knowledge of ETL processes, data integration, and data migration methodologies using tools such as SSIS, Informatica, Talend, or similar technologies is preferred.
• Experience working with large datasets and performing data extraction, cleansing, aggregation, and reporting activities.
• Understanding of data warehousing concepts, dimensional modeling, star schema, snowflake schema, and data governance principles.
• Experience with cloud-based analytics and reporting platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) is preferred.
• Knowledge of software development lifecycle (SDLC), Agile/Scrum methodologies, and version control practices is preferred.
• Experience using Microsoft Excel, Power BI, Tableau, SQL Server Management Studio (SSMS), and other reporting and analytics tools.
• Understanding of key performance indicators (KPIs), business metrics, forecasting, trend analysis, and decision-support systems.
• Ability to communicate technical findings to both technical and non-technical stakeholders through reports, dashboards, presentations, and data visualizations.
• Strong analytical, troubleshooting, problem-solving, organizational, communication, and teamwork skills.
Application Process:
To apply, please submit your resume via email to: hr@sar-tech.net
Full time direct hire
Job Summary:
Tasks and Activities: As a Business Intelligence Analyst, the beneficiary’s job duties will include:
● Responsible for initiating, planning, executing, and closing data engineering and business intelligence projects. Drive and ship all aspects of large, cross-functional data pipelines, analytics platforms, and dashboarding feature areas.
● Develop and execute data analytics plans, document requirements, define scope, risks, data governance deliverables, resource allocation, and timeline budgets.
● Plan, direct, and complete deep-dive analysis of data systems to support strategic business requirements and act as a crucial liaison between business stakeholders and IT/Data Engineering teams.
● Gather functional and technical data requirements for data warehouse enhancements, reporting tools, and new analytics projects.
● Drive metrics and KPI definitions sign-off and facilitate change orders for evolving data logic.
● Create "as is" and "to be" data models, architectural diagrams of data functionality, and reporting processes.
● Perform data gap analysis and create a structured roadmap to transition from the current siloed state to a mature, unified data ecosystem.
● Work closely with Solution Leads and Data Architects to turn raw business requirements into scalable analytics and reporting solutions.
● Collaborate with other regional analytics members on large, cross-functional, cross-regional data science and intelligence initiatives.
● Facilitate user testing and validation of all new dashboards, reports, and data models with Engineering Leads and Business Stakeholders.
● Appropriately escalate data quality risks, system anomalies, and project issues to management.
● Manage Sprint Planning for the BI team and coordinate with Data Engineering management to optimize ETL/ELT throughput and analyst resource utilization.
● Proactively and tactfully address data discrepancies and reporting concerns with cross-functional teams when data quality problems persist.
● Conduct User Acceptance Testing (UAT) sessions for reporting tools and design comprehensive Data Validation and Testing Strategies.
● Other related duties and responsibilities as may be assigned.
### Minimum Requirements:
• Bachelor’s degree in Computer Science, Information Systems, Information Technology, Business Analytics, Data Science, Engineering, Mathematics, Statistics, or a closely related field.
• Related experience in business intelligence, data analysis, reporting, dashboard development, and business data management.
• Strong experience working with SQL, data modeling, data warehousing concepts, and relational database management systems.
• Experience developing and maintaining dashboards, reports, and visualizations using business intelligence tools such as Power BI, Tableau, QlikView, or similar platforms.
• Strong knowledge of data analysis, data validation, data transformation, and data quality management techniques.
• Experience gathering business requirements, translating them into technical specifications, and delivering actionable insights to stakeholders.
• Knowledge of ETL processes, data integration, and data migration methodologies using tools such as SSIS, Informatica, Talend, or similar technologies is preferred.
• Experience working with large datasets and performing data extraction, cleansing, aggregation, and reporting activities.
• Understanding of data warehousing concepts, dimensional modeling, star schema, snowflake schema, and data governance principles.
• Experience with cloud-based analytics and reporting platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) is preferred.
• Knowledge of software development lifecycle (SDLC), Agile/Scrum methodologies, and version control practices is preferred.
• Experience using Microsoft Excel, Power BI, Tableau, SQL Server Management Studio (SSMS), and other reporting and analytics tools.
• Understanding of key performance indicators (KPIs), business metrics, forecasting, trend analysis, and decision-support systems.
• Ability to communicate technical findings to both technical and non-technical stakeholders through reports, dashboards, presentations, and data visualizations.
• Strong analytical, troubleshooting, problem-solving, organizational, communication, and teamwork skills.
Application Process:
To apply, please submit your resume via email to: hr@sar-tech.net
Full time direct hire
Requirements
REQUIREMENTS
Business Intelligence Analyst
Ability to work in a project driven environment
Business Intelligence Analyst
Ability to work in a project driven environment
SAR Tech LLC is an equal opportunity employer. Applicants must be legally authorised to work in the United States.