Excel VBA Hours Variance Automation -- 2

@surekash7096

Having worked with Excel, including VBA, for several years, I can confidently say that I can provide you with a streamlined and automated solution that will not only connect to Power BI but also refresh the dataset effortlessly. My ability to write well-commented code ensures that even if there are any changes in the Power BI workspace, you would be able to easily adjust connection strings without any hassle. In terms of Excel tasks, variance analysis within large datasets is one of my key areas of expertise. I've developed multi-dimensional reports for major enterprises using similar datasets, where the results had to be quick to scan and analyze. With your workload increasing with more than 5000 clients with 25 weekly hours forecast for each, working on flag changes over time can get quite complex. However, my skills allow me to efficiently tackle such complexities and devise a comprehensive summary on a dedicated sheet. Overall, I am confident in delivering you an error-free .xlsm file within the size limits mentioned in the description that meets all your requirements while maintaining high standards of quality and performance. Let’s discuss further to ensure your project is completed with utmost satisfaction. Ready to start work immediately !

@satyamk288

As an experienced data entry professional and Excel enthusiast, I believe I am uniquely qualified for your project. Having successfully mastered the complex intricacies of MS Excel and developed exceptional problem-solving abilities, I am confident in my ability to create an Excel-VBA solution tailored to your specific needs. Regarding data ingestion, I have immense familiarity with connecting various data sources to VBA through OData, REST or pivot connections. This will enable me to design a rock-solid data retrieval system that flawlessly interfaces with Power BI to retrieve and update your dataset accurately and efficiently. Similarly, in variance analysis, my strong command over Excel functions and VBA macros ensures that the comparison between two datasets is automated correctly with client names, absolute hour changes, and percentage variances color-coded for quick scanning. In addition to this, one of my strengths is delivering high-quality work on time - something which can be invaluable in high-stress projects like yours. My process involves double-checking my work to ensure minimal error occurrence and maximum satisfaction for my clients. Moreover, ensuring 32/64-bit code compatibility and limiting the size under 20MB will be taken care of meticulously. Communication is key in any project; I would keep you constantly updated on my progress before ultimately providing you with a well-commented .xlsm file alongside a brief read-me.

@sanketsj9

Hi, Can you please confirm which Power BI connection method is currently available (OData feed, REST API token, or existing Excel pivot connection)? Also, is the dataset already published in a shared workspace with access? This will help me confirm feasibility and timeline. Thanks.

@ashutoshs2405

I can build a single, production-ready macro-enabled Excel workbook that automates this entire Power BI comparison flow exactly as you described. Using pure VBA (32/64-bit compatible), I’ll connect directly to your Power BI dataset via the most stable option for your workspace (OData/REST or native connection). With one click, the workbook will refresh the latest data, archive a timestamped snapshot in a hidden sheet, and immediately compare it against the previous run. The Results tab will clearly flag all client-level changes across the 25-week horizon, showing absolute hour deltas and percentage variance with intuitive color-coding for fast scanning. A separate Summary tab will aggregate how many clients changed per future week, matching manual spot checks. File size will be optimized to stay under 20 MB—no external add-ins, Office 365 only. You’ll receive the finished .xlsm, clean and well-commented VBA, plus a short README explaining how to update connection strings if the Power BI workspace changes. This is a clean, reliable automation I can deliver quickly and confidently.

@manishm474

Hello, I’ve carefully reviewed your project description and understand that you need a single macro-enabled Excel workbook that can pull data directly from Power BI, store historical snapshots, and clearly highlight client-level weekly hour changes with minimal manual effort. Your requirements around accuracy, portability, and performance are very clear, and I can implement this in a clean, reliable way using Excel VBA. 1. Is the Power BI dataset already published to a workspace with API/OData access enabled? 2. Approximately how many columns are in the dataset (besides weekly hours)? I focus on robust logic, clean VBA, and clear outputs so the file is reliable for daily use. Happy to discuss details and start immediately. Best regards, Manish ⸻ ? Deliverables • Final .xlsm file • Well-commented VBA code • Short read-me explaining how to adjust Power BI connection strings if needed

@mohammadk027

Hello, First order discount is 50% I can build a macro-enabled Excel workbook that connects to your Power BI data, stores previous snapshots, and automatically detects client weekly hour changes. I have experience with: - Power BI to Excel connections (OData / REST / refresh queries) - Excel VBA automation (32/64-bit compatible) - Large datasets and variance analysis - Creating summary and color-coded results dashboards You will receive: - .xlsm file with automated refresh and comparison - Timestamped archive of previous data - Results and Summary tabs - Clean, well-commented VBA code + short README I can start immediately. Best regards, Mohammad Kazimi

@kapilsonti9827

Okay so i think i can do it bit money payment is very low as ut takes approx 15 hrs so i think it is better if you pay some more

@juandiegop44

I will automate the hours variance calculation using Excel (VBA or Python alternative if preferred). My background in data analytics and workflow automation (Python, Pandas, SQL, Excel advanced) allows me to deliver a reproducible solution that compares datasets, flags discrepancies, and generates clear variance reports. You will receive a documented process and a working file within 7 days.

@rallbernal

Hi there, I read your requirement for the Hours Variance Automation Tool. This is exactly what I do as a Data Analyst & Accountant. I understand you need to pull data from Power BI, archive it, and flag clients whose hours have changed compared to the previous snapshot. My Action Plan: Connection: I will use VBA (Power Query integration) to pull the raw dataset from your Power BI feed directly into Excel. The Logic: I will build the macro to store the "Last Week" snapshot in a hidden sheet and compare it row-by-row with "Current Week". The Result: A clean "Variance Tab" that highlights changes in Red/Green (Conditional Formatting) and calculates the % difference, just as requested. I can build this lightweight (under 20MB) and compatible with 64-bit Office. I have experience automating these exact variance reports for payroll and inventory. Let's chat! Best regards, Rall B.

@sastrya

Hello, This is a well-defined requirement, and it’s exactly the kind of Excel–Power BI automation I’ve built in enterprise environments. I have strong hands-on experience creating macro-enabled Excel workbooks that ingest large datasets, retain historical snapshots, and perform reliable variance analysis without external dependencies. For your case, I would design a clean VBA-driven flow that pulls data from Power BI using the most stable connection method available in your setup, stores a timestamped snapshot, and then compares it against the previous run across all 25 future weeks. The Results tab will clearly show client name, absolute hour change, and percentage variance with intuitive colour coding for fast scanning, while the Summary tab will give an accurate week-wise count of impacted clients. Archiving will be handled in hidden sheets so the file remains organised and under size limits. I write 32/64-bit compatible, well-commented VBA, test against edge cases, and always include a short read-me so you can maintain or adjust connections independently. If you’re open to it, I’d suggest a short call to confirm the Power BI connection method and column structure before I start — that ensures first delivery is spot-on.