Business Intelligence Analyst Position

Job OverviewThe Business Intelligence (BI) Analyst is responsible for analyzing complex business data, developing insights, and generating reports that support decision-making across the organization. The role focuses on leveraging BI tools and techniques to help the company make data-driven decisions, identify business trends, and drive performance improvements. The ideal candidate will have strong analytical skills, a deep understanding of BI software, and the ability to communicate findings clearly to non-technical stakeholders.Key ResponsibilitiesData Analysis & ReportingCollect, analyze, and interpret large datasets from various business functions (sales, marketing, finance, operations, etc.) to generate actionable insights.Develop and maintain BI reports, dashboards, and data visualizations that provide decision-makers with key performance indicators (KPIs) and business trends.Regularly update and refine reports to ensure data accuracy and relevancy for internal stakeholders.Provide in-depth analysis of data to identify patterns, correlations, and trends that influence business decisions.Business Insights & StrategyWork closely with cross-functional teams (marketing, finance, operations, HR) to understand business objectives and data needs.Translate business questions and challenges into analytical projects, providing recommendations based on data analysis.Collaborate with leadership to define key metrics and KPIs that align with the company’s strategic goals.Provide actionable recommendations for improving business processes, operations, and overall performance.BI Tools & Data ManagementUse Business Intelligence tools (e.g., Tableau, Power BI, Looker, Qlik) to design and implement interactive dashboards and visualizations.Ensure the integrity, accuracy, and consistency of business data across various sources and systems (CRM, ERP, databases, etc.).Optimize data workflows and processes to streamline reporting and analysis.Work with data engineers and IT teams to ensure that data is properly collected, stored, and processed for BI analysis.Advanced Analytics & Data ModelingDevelop and maintain predictive models, forecasts, and simulations that support decision-making and strategic planning.Conduct trend analysis, gap analysis, and scenario planning to identify opportunities for growth or risk mitigation.Use statistical techniques and machine learning algorithms to provide deeper insights and more accurate forecasts.Collaboration & CommunicationCommunicate findings and recommendations to both technical and non-technical stakeholders through presentations and written reports.Provide guidance and support to business units in understanding and using BI tools effectively.Act as a liaison between business units and the IT team to ensure that reporting requirements are met and that the necessary data infrastructure is in place.Continuous Improvement & Industry ResearchStay up-to-date with industry trends, BI software developments, and emerging analytics techniques.Suggest improvements to current data collection, analysis, and reporting processes to enhance efficiency and effectiveness.Identify and recommend new BI tools, technologies, and best practices that could improve the company’s data analytics capabilities.QualificationsBachelor’s degree in Business, Data Science, Computer Science, Economics, or a related field.3+ years of experience in business intelligence, data analysis, or a related analytical role.Strong proficiency with BI tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.Experience with SQL and data querying languages; familiarity with data warehousing and ETL processes is a plus.Strong analytical and problem-solving skills, with the ability to translate data into actionable business insights.Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences.Experience with statistical analysis, predictive modeling, or machine learning is a plus.Preferred SkillsAdvanced degree in Data Science, Business Analytics, or a related field.Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and data storage solutions.Experience with programming languages (e.g., Python, R) for advanced data analysis or automation.Knowledge of financial metrics, operations KPIs, or sales performance analytics.Key Performance Indicators (KPIs)Timeliness and accuracy of BI reports and dashboards.Increased use of data-driven insights to improve business decision-making.Efficiency improvements in reporting processes.Impact of recommendations on business outcomes (e.g., revenue growth, cost reduction, operational efficiency).