Business Intelligence Analyst Position

Job Overview

The 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 Responsibilities

Data Analysis & Reporting

• Collect, 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.
  
  

• Work 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.
  
  

• Use 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.
  
  

• Develop 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.
  
  

• Communicate 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.
  
  

• Stay 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.
  
  

• Bachelor’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.
  
  

• Advanced 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.
  
  

• 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).