Business Intelligence Analyst

On-site
Posted Nov 10, 2026
1 position

Opens LinkedIn

Employment type: Full-time
Posting language: English
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Gather, clean, validate, and analyze data from multiple sources to monitor business metrics and identify trends and opportunities. Build and maintain dashboards, data models, and recurring reports, and communicate findings to stakeholders.

Job details

Roles and Responsibilities Gather, analyze, and interpret business data from multiple sources. Understand business requirements and translate them into analytical reports and dashboards. Develop interactive dashboards and visualizations using Power BI or Tableau. Write SQL queries to extract, filter, join, and manipulate data from databases. Clean, transform, and validate datasets to ensure data accuracy and consistency. Monitor and analyze key performance indicators (KPIs) and business metrics. Prepare daily, weekly, and monthly business performance reports. Identify trends, patterns, and opportunities through data analysis. Create data models and establish relationships between different datasets. Use Excel for data analysis, reporting, and business performance tracking. Develop DAX measures and calculated columns for Power BI reports. Perform data validation and troubleshoot discrepancies in reports. Collaborate with business teams, management, and stakeholders to understand reporting requirements. Present analytical findings and business insights through reports and dashboards. Maintain documentation of data sources, business metrics, and reporting processes. Technical Skills Required Business Intelligence and Data Analytics. SQL (Joins, Subqueries, CTEs, Group By, Aggregate Functions). Microsoft Excel (Advanced Excel, Pivot Tables, VLOOKUP, XLOOKUP). Power BI (Dashboard Development, DAX, Power Query, Data Modeling). Tableau (Dashboard Development and Data Visualization). Data Cleaning, Data Transformation, and Data Validation. Data Visualization and Reporting. KPI Monitoring and Business Performance Analysis. Basic Statistics and Data Interpretation. Database Management and Relational Database Concepts. Python (Pandas, NumPy) – Good to Have. ETL Processes and Data Warehousing Concepts – Added Advantage. Required Skills and Competencies Strong analytical and logical thinking. Excellent problem-solving abilities. Good understanding of business processes and data analysis. Strong attention to detail and data accuracy. Ability to interpret complex datasets and communicate insights. Good verbal and written communication skills. Ability to understand business requirements. Strong organizational and time-management skills. Ability to work independently and collaboratively with cross-functional teams. Key Performance Indicators (KPIs) Accuracy and reliability of business reports. Timely delivery of dashboards and analytical reports. Effectiveness of KPI tracking and monitoring. Quality and usability of BI dashboards. Data consistency and validation accuracy. Ability to identify meaningful business insights. Stakeholder satisfaction and reporting efficiency.

What you’ll do

Requirements

The role requires skills in SQL, Excel, Power BI, Tableau, data visualization, and business performance analysis; Python and ETL knowledge are advantageous. Candidates should have strong analytical, problem-solving, communication, organizational, and collaboration skills, with careful attention to data accuracy.