Part-Time Business Intelligence Specialist

6 days ago


alappuzha, India beBeeData Full time

Business Intelligence Analyst - Part-Time OpportunityWe are seeking a skilled and independent Business Intelligence Analyst to work on a part-time basis. The ideal candidate will have excellent analytical skills and be proficient in data analysis tools such as Power BI, SQL, and Google Sheets.The successful candidate will support multiple client projects by building dashboards, automating data flows, cleaning and modeling real-world datasets, and ensuring that reporting is accurate, reliable, and scalable.Key Responsibilities1. Power BI DevelopmentDevelop dashboards from scratch (data ingestion → cleaning → modeling → DAX → visuals)Use Power Query for data transformation and shapingBuild well-structured, analytics-ready data models (star schema)Write advanced DAX for KPIs, time-intelligence, and business logicConfigure RLS, scheduled refresh, incremental refresh, parameters, etc.Optimize dashboards for performance and accuracy2. SQL (Intermediate to Advanced)Write clean, optimized queries combining multiple datasetsBuild logic for de-duplication, grouping, time-based metrics, trend analysisPerform date/time conversions, timestamp harmonization, and business-rule logicHelp clean and prepare backend datasets for Power BI3. Google Sheets + AutomationWork with operational data stored in Google SheetsUse advanced formulas (QUERY, FILTER, ARRAYFORMULA, REGEX, etc.)Structure Sheets for ingestion into Power BIAutomate repetitive steps using Apps Script (or willingness to learn quickly)Build helper/staging sheets for data cleaning and QA4. Data Engineering FoundationsIntegrate external systems through REST APIs (JSON, tokens, pagination)Use Make.com / Pipedream / Apps Script to automate data ingestionNormalize unstructured SaaS data into clean analytics tablesTroubleshoot data flow breaks and ensure continuity of pipelines5. Data Cleaning, Structuring & DocumentationClean messy, real-world datasets (duplicates, mismatches, missing fields)Design clear transformation logic from raw data → final modelDocument data definitions, modelling rules, and key assumptionsProvide quality checks to ensure stable reporting



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