Business Intelligence Analyst

On-site
Posted Nov 1, 2026
1 position

Applications are currently unavailable for this posting.

Employment type: Full-time
Experience level: Entry, Junior · 0+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Entry level
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Collect, clean, analyze, and validate data from multiple sources, then create and maintain dashboards and recurring or ad hoc reports. Monitor business performance and KPIs, communicate findings to stakeholders, and provide data-driven recommendations while maintaining accurate reporting documentation.

Job details

Roles and Responsibilities Collect, analyze, and interpret business data from multiple sources. Develop and maintain interactive dashboards and reports using Power BI or Tableau. Write SQL queries to extract, retrieve, and manipulate data from databases. Perform data cleaning, validation, transformation, and quality checks. Analyze business trends, patterns, and Key Performance Indicators (KPIs). Prepare daily, weekly, and monthly business performance reports. Collaborate with business stakeholders to understand reporting requirements. Identify business opportunities and provide data-driven recommendations. Create visual reports and dashboards to communicate analytical findings. Monitor business metrics and track performance against organizational goals. Perform ad-hoc data analysis and generate meaningful insights. Maintain documentation of reports, dashboards, and data sources. Ensure data accuracy, consistency, and integrity across reporting systems. Technical Skills Required SQL and Database Management Basic to intermediate SQL knowledge. SELECT, WHERE, GROUP BY, ORDER BY, JOIN, and subqueries. Aggregate functions and filtering techniques. Basic understanding of relational databases. Knowledge of MySQL, SQL Server, or PostgreSQL. Data Visualization Tools Microsoft Power BI. Tableau. Dashboard development and report creation. Data visualization and storytelling. Basic knowledge of DAX and Power Query. Microsoft Excel VLOOKUP / XLOOKUP. Pivot Tables and Pivot Charts. IF, SUMIF, COUNTIF, and other formulas. Data cleaning and formatting. Conditional formatting. Data Analysis Data cleaning and transformation. Exploratory Data Analysis (EDA). Trend and pattern identification. KPI monitoring and performance analysis. Basic statistical concepts. Additional Skills Basic Python knowledge (Pandas and NumPy) is an advantage. Understanding of ETL processes. Basic knowledge of data warehousing. Understanding of business reporting and analytics. Tools and Technologies Microsoft Power BI Tableau Microsoft Excel SQL Server MySQL PostgreSQL Python Power Query DAX Google Sheets Required Soft Skills Strong analytical and problem-solving skills. Good communication and presentation skills. Attention to detail and accuracy. Ability to interpret and explain data insights. Good time management and organizational skills. Ability to work independently and collaboratively. Willingness to learn new tools and technologies. Key Performance Indicators (KPIs) Accuracy and reliability of reports and dashboards. Timely delivery of business reports. Data quality and consistency. Dashboard performance and usability. Accuracy of business insights and recommendations. Meeting stakeholder reporting requirements.

What you’ll do

Requirements

Requires basic to intermediate SQL skills, familiarity with relational databases, and experience or knowledge of Power BI or Tableau, Excel, and data visualization. The role also calls for analytical ability, attention to detail, communication skills, and an understanding of business reporting; basic Python, ETL, and data warehousing knowledge are advantageous.