Business Intelligence Analyst / BI Analyst / Reporting Specialist

Role DescriptionWe are seeking an analytical, detail-oriented, and tech-savvy Business Intelligence Analyst / BI Analyst / Reporting Specialist to transform raw business data into actionable insights, executive dashboards, and strategic recommendations. In this entry-to-mid level role, you will work closely with Data Engineers, Product Managers, Finance Leads, and Operations Executives to understand data requirements and deliver reliable business performance reporting. You will be responsible for designing, building, and maintaining interactive dashboards, writing automated SQL data queries, and ensuring data integrity across internal reporting systems. Responsibilities include translating complex business queries into clear technical logic, identifying trend anomalies, maintaining data dictionary documentation, and training internal stakeholders on self-service analytics tools. Success in this position requires a strong foundation in SQL, mastery of business intelligence visualization platforms, advanced spreadsheet modeling capabilities, and the ability to communicate quantitative insights to non-technical business partners clearly.QualificationsEducation: Bachelor's degree or Diploma in Business Intelligence, Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, or a related quantitative field.SQL & Data Querying: Practical proficiency in writing clean, efficient SQL queries (SELECT statements, JOINs, CTEs, subqueries, aggregation functions) to extract and transform datasets from relational databases.BI & Data Visualization Platforms: Hands-on experience building interactive reports and executive dashboards using modern BI tools (e.g., Power BI, Tableau, Looker, or Qlik).Data Modeling & Analytics Foundations: Basic understanding of relational database structures, star/snowflake schemas, entity-relationship modeling, and key data warehousing concepts (e.g., Snowflake, BigQuery, or Redshift).Advanced Spreadsheet Modeling: Advanced proficiency in Microsoft Excel / Google Sheets (INDEX/MATCH, XLOOKUP, Pivot Tables, Power Query, basic VBA/Apps Script) for rapid data validation and ad-hoc analysis.Business Metrics & KPI Frameworks: Familiarity with defining, tracking, and visualizing core business performance metrics (e.g., CAC, LTV, churn rate, monthly recurring revenue, operational yield, unit economics).Data Quality & Governance: High attention to detail in verifying data accuracy, identifying pipeline discrepancies, running audit checks, and maintaining standard data dictionaries.Scripting Language Exposure: Basic exposure to Python or R (using packages like Pandas, NumPy, or Matplotlib) for data cleaning, statistical analysis, or process automation is an advantage.Stakeholder Communication: Strong verbal and written communication skills to present data findings to non-technical business leaders and refine ambiguous project requirements into precise metrics.Professional Attributes: Curiosity to solve complex analytical problems, high numerical accuracy, structured logical reasoning, and effective project prioritization skills.