Sales Data Analysis & Dashboard

@schoudhary1553

Hi, I have reviewed your requirements and can deliver a high-quality, accurate solution within the agreed timeline. With 15+ years of experience in automation, data analysis, Excel, Python, Power BI, and software development, I focus on delivering reliable results with clear communication and complete client satisfaction. I’m ready to start immediately and look forward to working with you.

@EightVeer

Hi there, We can support the full workflow from data hygiene through SQL analysis and an interactive Power BI dashboard. Our approach would cover duplicate removal, missing-value treatment, outlier handling, metric design, and a clean data model so the Sales Revenue, Customer Acquisition, and Profit Margin views stay consistent across visuals. One point to confirm is the exact SQL environment and how you define the core KPIs. We will also provide a clear handoff note for refresh and reuse. Best Regards, 8veer

@MashoodurRehman1

I am an experienced data analyst specializing in data cleaning and visualization using SQL and Power BI. I have handled various datasets, ensuring data quality through meticulous cleaning processes that address duplicates and outliers. My experience aligns with your requirements to create insightful and interactive dashboards. I have previously worked on sales data projects where I designed Power BI dashboards that featured drill-through capabilities and dynamic filtering. This involved using SQL for data analysis and staging, ensuring results are both insightful and actionable. My proficiency in transferring data between Excel and SQL environments ensures a seamless workflow, as requested. To further demonstrate my capability, I can share examples of similar dashboards I've built that spotlight KPIs in sales contexts. I am keen to discuss your project details and explore how I can contribute to achieving your objectives efficiently. Please let me know if you need links to my portfolio or additional information.

@techplusintl

Hi, To clean and analyze your historical sales dataset, I will implement a thorough data hygiene routine. This includes removing duplicates, addressing missing values, and managing outliers to ensure data integrity. Once the dataset is reliable, I will utilize SQL to extract insights and trends. The final deliverable will be an interactive Power BI dashboard that allows stakeholders to analyze performance by date, product, and region, while prominently displaying key KPIs: Sales Revenue, Customer Acquisition, and Profit Margin. I will ensure the dashboard features drill-throughs, dynamic filters, and a responsive layout for both desktop and tablet views. I have extensive experience with both Excel and SQL, ensuring a smooth workflow. If you have a preferred staging environment, I can adapt to that as long as the process is well-documented. You can view my previous work at: https://www.freelancer.com/u/techplusintl Happy to discuss the details.

@Deepikaparihar4

Hello, I am a certified tableau desktop and an expert data scientist having over 4 years of experience in creating powerful and interactive dashboards for data analysis and insights generation. I can perform the data cleaning & transformation using SQL and perform data visualization using advanced features features of Tableau/ PowerBI to gain insights from data. I have worked on projects of various domains such as healthcare, fundraising, finance etc and I can guarantee an insightful dashboard according to the requirements. I offer best practices of business intelligence with the help of BI tools like tableau and power BI , having experience in creating goal driven dashboard for strategic business decisions. My area of expertise is the analysis, design, development and deployment/ publishing of dashboard reports to cater to the business requirements and troubleshooting needs. I offer reliable services, check my portfolio to know more :)

@saba106

I am an expert statistician, Research Writer, and data analyst with more than eight years of experience. I have full command of Excel analysis, SPSS, STATA, R LANGUAGE, AND PYTHON. I am an expert in creating time series prediction models, working with survey data, conducting marketing analysis, building estimators, and medical analysis. I am a perfect match for your project share other details of the work so I can start working on your project. Will complete task on time.

@DevDataAnalyst

Hi there! ? I’ve spent the last 10+ years helping businesses make sense of their data — turning numbers and reports into clear, visual stories that drive smarter decisions. My expertise includes Power BI, Tableau (Desktop & Server), R, SQL Server, and KNIME for data prep and automation. Whether it’s building a simple KPI dashboard or a full-scale analytics solution, I focus on making your data work for you — easy to understand, easy to use, and built around your goals. If you’re looking for someone who blends technical skill with a business mindset, let’s connect and discuss how I can help bring your data to life.

@SkillCrafts

I understand you need to transform raw sales data into actionable insights, similar to a project where I cleaned and analyzed customer churn data, identifying key drivers and presenting them in an interactive Tableau dashboard. My process focuses on delivering clear, data-backed stories that empower decision-making. My approach begins with a rigorous data hygiene phase, utilizing Python with Pandas to systematically identify and address duplicates, missing values (imputation or flagging based on context), and outliers using statistical methods like IQR or Z-scores. Following this, I'll employ SQL to perform in-depth trend analysis, calculating and segmenting your key KPIs (Sales Revenue, Customer Acquisition, Profit Margin). Finally, I'll construct an interactive Power BI dashboard, configuring it for dynamic filtering by date, product, and region, and embedding clear time-series visuals. To ensure we're perfectly aligned, could you clarify the expected volume and format of the historical sales dataset? Also, are there any existing business rules or definitions for "Customer Acquisition" that I should incorporate? I'm eager to discuss how I can deliver this valuable sales intelligence to your team.

@mayr81

I can deliver a repeatable sales data pipeline that starts with rigorous data-hygiene (deduplication, missing-value strategy, outlier handling with clear rules) and ends with an interactive Power BI dashboard built for real stakeholder slicing. What you’ll get: - Clean, documented dataset exported as Excel/CSV plus a SQL table for persistent reuse. - SQL scripts/stored procedures for the analysis layer (trend and relationship discovery, ready for refresh). - A fully editable Power BI .pbix with a clean data model, DAX measures, drill-throughs, dynamic filters, and KPI-first layout. KPI focus (top row, always visible): Sales Revenue, Customer Acquisition, and Profit Margin, supported by desktop-and-tablet friendly visuals and time-series exploration by date, product, and region. Workflow will be documented so you can reliably refresh after moving data from Excel into SQL (or via staging, if preferred), without breaking measures or model relationships. To support quick confidence, I will include one or two relevant dashboard examples/snapshots showing similar KPI layouts and data-quality edge cases.

@GhoulamIlyasse

Assalmo Aalaykom , I’d be happy to help you with this project. I have experience in Excel, SQL, and Power BI, and I can clean your sales data by removing duplicates, handling missing values, and treating outliers before performing detailed SQL analysis. I will build a professional, interactive Power BI dashboard featuring Sales Revenue, Customer Acquisition, and Profit Margin, with dynamic filters, drill-through functionality, and a clean, responsive layout for desktop and tablet. You will receive a documented dataset, SQL scripts, an editable Power BI (.pbix) file with DAX measures, and a clear hand-off guide for future updates. I am committed to delivering accurate, well-documented, and high-quality work on time, and I look forward to working with you.

@robertb297

Hi, data analysis is my core focus, and I enjoy turning raw data into clear, actionable insights. I have experience with data cleaning, SQL analysis, and building interactive Power BI dashboards with dynamic KPIs and filters. As a small bonus, I can include a data quality summary to highlight missing values, duplicates, and outliers before the final analysis. Is Customer Acquisition already available in your dataset, or should it be calculated from customer transactions?

@sayarsinghseo

With the utmost fluency in both Excel and SQL, I am well-equipped to spearhead your sales data analysis project. From a solid data-hygiene routine to leveraging SQL for sophisticated trend exploration, I am experienced in working with clients to transform raw data into actionable insights. Transparency and repeatability are key focus areas for me, ensuring that you can navigate your dataset easily even after our collaboration. My knack for creating visually impactful and interactive dashboards is mirrored in my extensive Power BI expertise. Producing clean layouts for desktop and tablet use is also second nature to me, as is the provision of dynamic filters and drill-through features to help you uncover every piece of relevant information from your dataset. In line with your expectations, the deliverables will consist of a thoroughly cleaned dataset, SQL scripts used for analysis, an editable Power BI file and comprehensive hand-off documentation that ensures everything is documented adequately. By putting my skills to work for you today, we can create effective data models that highlight accurate KPIs, drive growth, and enhance decision-making processes.

@omkumarsingh1

Support Analysis dashboard tells me exactly the layout you're after: KPI cards up top, day-type and priority breakdowns, then drill-down visuals by month and geography. That's the pattern I'd replicate for your sales data. My approach: SQL first for cleaning (dedupe logic, null handling rules documented, outlier flags rather than silent deletion so you keep an audit trail), then build the model in Power BI with proper star schema and DAX measures for Revenue, Acquisition, and Margin. Drill-throughs by date, product, region, plus bookmarks for desktop/tablet views. You'll get the .pbix, SQL scripts, cleaned dataset, and a short walkthrough video for refreshes. I can share two dashboards with similar KPI structures and data-quality writeups. Want me to send those links now?

@AteebM3

Hi, I can help transform your historical sales data into a clean, interactive Power BI dashboard supported by a documented SQL and Excel workflow. What I will deliver: -Data cleaning and validation, including duplicate removal, missing value handling, and outlier analysis -Structured SQL scripts for data preparation and trend analysis -An interactive Power BI dashboard with drill-through capabilities, slicers, and responsive visuals -DAX measures for Sales Revenue, Customer Acquisition, Profit Margin, and time-based KPIs -A documented and repeatable workflow using Excel, SQL, and Power BI -An editable .pbix file and hand-off documentation explaining refresh and maintenance procedures My approach is to build a scalable data model that balances performance with usability. I focus on creating executive-friendly dashboards that allow stakeholders to quickly identify trends across products, regions, and time periods while maintaining complete transparency in the underlying data transformation process. The final solution will provide accurate reporting, intuitive navigation, and a clean visual experience suitable for both desktop and tablet users. Regards, Ateeb Rahil Mahedvi

@ahmadayaz

I specialize in ensuring data accuracy and reliability to drive informed business decisions. With expertise in data hygiene, SQL, and Power BI, I propose a robust solution for your project. I will eliminate duplicates, handle missing values, and address outliers using SQL queries. The interactive Power BI dashboard will display key metrics like Sales Revenue, Customer Acquisition, and Profit Margin by date, product, and region. Deliverables include a clean dataset, SQL scripts, an editable Power BI file, and detailed guidance for future refreshes. Check out my previous dashboard work: [Link 1] [Link 2] Let's collaborate for data-driven success.

@caajoys

Hello, I’d be happy to help build a complete data analytics solution for your historical sales data. As a Chartered Accountant with 6+ years of experience, I specialize in Power BI, SQL, Excel, financial analysis, and dashboard development. My approach includes cleaning and validating your dataset by removing duplicates, handling missing values, reviewing outliers, and documenting every transformation. I’ll then perform SQL-based analysis to uncover trends and create an interactive Power BI dashboard featuring Sales Revenue, Customer Acquisition, and Profit Margin with drill-throughs, slicers, dynamic filters, DAX measures, and a responsive layout. You’ll receive: • Cleaned Excel/CSV dataset and SQL tables • SQL scripts used for analysis • Editable Power BI (.pbix) file • Refresh guide with documentation I have prior experience developing financial and management dashboards for business reporting and KPI tracking, ensuring accurate insights and user-friendly visualizations. ✅ No upfront payment ✅ Pay only after milestone completion ✅ Timely delivery and regular updates Profile: https://www.freelancer.com/u/caajoys?sb=t I’m ready to start immediately and look forward to discussing your project. Best regards.

@alluankit01

Hi, I can clean your historical sales dataset, analyze it with SQL, and build an interactive Power BI dashboard focused on Sales Revenue, Customer Acquisition, and Profit Margin. My approach will be to first review the raw data, remove duplicates, flag or fix missing values, identify outliers, and prepare a documented cleaned dataset in Excel/CSV and SQL. I’ll then write SQL queries for trend and relationship analysis before building a clean Power BI dashboard with filters, drill-throughs, KPIs, and time-series visuals. I’m comfortable with Excel, SQL, Power BI, DAX, data cleaning, data modeling, sales analysis, customer/product/region segmentation, dashboard design, dynamic filters, drill-through pages, and refresh documentation. Deliverables will include: * Cleaned Excel/CSV dataset * SQL table and analysis scripts * Duplicate, missing-value, and outlier review * Power BI .pbix dashboard * Sales Revenue KPI * Customer Acquisition KPI * Profit Margin KPI * Date, product, and region filters * Drill-through views * DAX measures and data model * Refresh/handover notes I’ll focus on clean data, clear insights, and a dashboard that stakeholders can use easily on desktop or tablet. Best regards Ankit

@naseeb1995

Hi, I am interested in Sales Data Analysis & DashboardI can help you generate high-quality leads using AI-powered tools, smart targeting, automation, and personalized outreach. I have experience in AI automation, digital marketing, lead generation, data scraping, email/WhatsApp outreach, chatbot setup, and CRM-based follow-up systems. Hi I can help you find the right audience, create targeted lead lists, qualify prospects, write personalized outreach messages, and set up automation so leads can be contacted and followed up professionally. My focus will be on quality leads, better response rates, and a system that can save time while improving conversions. I can also use AI to personalize messages based on business type, location, service, and customer needs, so the outreach does not look generic or spammy. I would be happy to discuss your project and create a lead generation workflow that fits your business goals. Best Regards Naseeb A.

@AndrewJSMAN

I’ve built and deployed Power BI dashboards with SQL-backed data pipelines handling 10M+ rows, including KPI tracking for sales revenue, customer acquisition, and profit margin. The Excel-to-SQL workflow matches your stack—no middleware needed. I’ll clean the dataset in Python (pandas + SQLAlchemy), enforce schema constraints in PostgreSQL, write window functions for outlier handling, then build the Power BI model with incremental refresh configured. Deliverables include the sanitized CSV/SQL dump, stored procedures for trend analysis, and a .pbix with DAX measures for drill-throughs and dynamic slicers. Handoff will include a README with refresh steps—no fluff. I can start immediately. Thanks, Andrii