Datamodellering Jobs

I need a clean, interactive Excel dashboard that transforms my raw financial data into clear visuals so I can spot trends at a glance. The focus is strictly data visualization, not deep analytics, and the two chart types that matter for this project are bar charts and line graphs—nothing else is required. The workbook should let me drop in updated figures each month and instantly refresh the visuals. Think structured tables or PivotTables feeding dynamic charts, with slicers or drop-downs for quick period filtering. If Power Query or named ranges streamline the refresh, feel free to weave them in; just keep the file lightweight and easy to follow. Deliverables • One well-organized .xlsx file containing the dashboard, data source sheet(s), and all supporting formulas • A...

I have a set of regularly-updated Excel/CSV files and I need them transformed into a single, interactive Power BI dashboard that spotlights customer sales trends, demographic break-downs, and behavior patterns. Here’s the flow I have in mind: the raw files drop into a shared folder each evening, Power BI pulls them in automatically, refreshes every day, and presents clean visuals that let me slice performance by age group, region, purchase channel, and any other attributes already stored in the spreadsheets. Sales curves, retention funnels, cohort analyses—anything that helps me read where revenue is surging or slipping and why—should be easy to see at a glance. To make hand-off smooth, I’ll need the finished .pbix file, a short write-up of the data model, and cl...

Build a single Power BI dashboard that pulls data live from my Excel workbooks and our SQL database, then turns that information into clear insights about customer demographics and customer satisfaction. The data model should merge both sources seamlessly, handle refresh schedules, and expose relationships that let me slice results by date, region, product line, and any other key fields you uncover. Inside the report, I want bar charts for quick comparisons, pie charts for proportional breakdowns, and line graphs that reveal trends over time—each fully interactive with tooltips, drill-through, and cross-filtering. Supply the finished .pbix file, document any custom DAX logic, and publish a ready-to-share version to Power BI Service (or show me how in a brief hand-off call). Whe...

I need to turn two raw datasets—sales and customer records—into a clean, insight-packed dashboard. Start by profiling the data in Excel or SQL, removing duplicates, filling or flagging missing values, and standardising every date, currency and categorical field so the tables can join cleanly. With trustworthy data in place, build an end-to-end Power BI model: set relationships, create calculated columns and DAX measures, and surface the KPIs that drive our decisions (revenue trends, customer lifetime value, churn, product mix, regional performance). The visuals should be interactive, with slicers that let managers move from an executive overview down to line-item detail. Quick exploratory charts in Excel are welcome, but the final, shareable report must live in Power BI. Deli...

1. Project Overview / Heading Title: Zomato Restaurant Data Analysis Dashboard Domain: Food Delivery / Restaurant Analytics Tool Used: Power BI (dashboard UI se clear hai) Purpose: Zomato platform par available restaurants ka comprehensive analysis — price, ratings, delivery time, city & area distribution, high/low rated restaurants, etc. 2. Problem Statement Zomato jaise platforms par hazaron restaurants hote hain. Management / business stakeholders ko yeh samajhna mushkil hota hai ki: Kaunse cities / areas mein zyada restaurants hain? Average price range kya hai aur kaunse cuisine expensive hain? High-rated vs Low-rated restaurants ka distribution kaisa hai? Delivery time aur ratings ka relation kya hai? Overall business health (total restaurants, average rating, average price...

I want a sleek, self-refreshing Power BI dashboard that pulls customer counts from two sources—an Excel file and our Databricks environment—and visualises the 12-month trend for each line of business across Brand A, Brand B and Brand C. The core visual should be clean line charts with a rolling monthly view, allowing users to toggle brands or drill down by product line without losing the last-year perspective. You will work with my existing Databricks SQL endpoint (I’ll share the cluster URL and credentials) and a locally stored Excel workbook. I need the model set up so both sources refresh automatically through the Power BI gateway and any new month appended to either source rolls straight into the visuals. Deliverables • A .pbix file containing the data model, r...

Power BI – Talent Acquisition Control Tower & Executive Dashboard We are looking for an experienced Power BI Developer / HR Analytics Specialist to build a comprehensive Talent Acquisition Control Tower & Executive Dashboard. This is not a basic visualization project. We need a scalable recruitment analytics solution covering the full recruitment lifecycle: Requisition → Sourcing → Screening → HM Review → Interview → Selection → Offer → Acceptance → Joining → Closure The solution must support both daily recruitment operations and executive-level reporting. 1. Recruitment Overview & Demand vs Delivery Track: * Total Requisitions * Total Openings/Vacancies * Open / Closed / Hold / Cancelled * Sourcing / Interview / Offer /...

I have several datasets stored in Snowflake that need to be surfaced through polished, insightful Power BI assets. I’m looking for someone with truly advanced Power BI skills who can: • Shape and model the data efficiently once it is pulled from Snowflake • Build clean, reusable measures and calculations • Turn those models into interactive reports that tell a clear story • Wrap everything into executive-ready dashboards with thoughtful layouts and drill-throughs Only a basic grasp of Snowflake is necessary—you’ll mainly be connecting, importing, and refreshing tables, not administering the warehouse itself. I have the Snowflake credentials ready and can handle any permission work on my side. Please share a brief note on similar Power BI model...

I need a complete data-warehouse solution for Dual Specialist Hospital (Medicare) in the United States. The core objective is to pull our patient health records into a single, well-structured repository and make that information immediately useful for data analytics and reporting. Clinical staff, quality-improvement teams, and executives all expect fast insight without wading through multiple systems or static spreadsheets. The build must support: • Real-time data analysis so new encounters, labs, and vitals are visible in minutes, not days. • Customizable reporting templates our analysts can adjust without developer help. • Data visualization tools that present trends clearly for non-technical decision-makers. I’m open to the platform you recommend—wheth...

I’m kicking off a new healthcare patient-management system and the first critical piece is a rock-solid, compliant data layer. The entire scope at this stage revolves around database management—designing, building, and documenting a schema that can safely house patient records, appointments, clinical notes, and billing details while meeting HIPAA-level security expectations. Here’s what I need from you: • Analyse typical patient-care workflows and translate them into an efficient relational model. • Deliver an ER diagram, a fully normalised schema, and an indexing strategy suitable for high-volume queries. • Implement the model in the SQL engine you recommend (PostgreSQL, MySQL, or MS-SQL are all fine if they cover encryption-at-rest, robust backup, a...

We are looking for an experienced Software / System Architect to design and review the architecture of a closed-loop financial platform. The platform includes user accounts, balances, transactions, deposits/withdrawals, trading, payments, wallet functionality, and administration. We already have a development team and an existing system. We need an architect who can review the current setup, identify gaps, design the overall system architecture and flows, and provide clear technical guidance and architecture documentation for our developers. Experience with FinTech, payment systems, trading platforms, digital assets, banking, or other transaction-heavy financial systems is highly preferred. Please share relevant architecture experience and examples of similar systems you have worked on...

## Job Title: Power BI Data & Inventory Analytics Specialist## About Us We are an established, fast-growing multi-channel e-commerce brand managing a catalog of approximately 450 active products. We partner with large-scale distributors and manage data pipelines across several retail platforms and independent web storefronts. Our business model relies on operational efficiency, data precision, and real-time capital allocation. ------------------------------ We are looking for a skilled Data Analytics & Inventory Specialist to build, optimize, and maintain an automated data pipeline using Power BI and the Microsoft Ecosystem. Your primary mission is to consolidate data from multiple distinct sources—including daily/weekly distributor spreadsheets, multi-channel platform sales...

I have a single Excel/CSV master file that captures every employee movement in the organisation, and I need a dynamic Power BI dashboard built around it. The goal is simple: the moment I replace or append the source file, every visual should refresh without any extra work from me. What the report must show: • Total headcount • Employee attrition rate • New-hire and exit counts I want users to slice these numbers region-wise, department-wise, and role-wise through interactive filters. Clear trend lines, month-over-month comparisons, and a clean summary card layout are preferred so executives can grasp churn patterns at a glance. Deliverables 1. A PBIX file containing a tidy data model, DAX measures for the metrics above, and well-labelled visuals. 2. Automated refresh se...

I have a raw dataset that needs to be explored, cleaned, and turned into clear business insights. Excel is my preferred environment, so formulas, PivotTables, Power Query, and easy-to-refresh dashboards should be at the heart of the solution. If you see value in quickly prototyping advanced models in Python (Pandas, Scikit-learn) or R and then translating the results back into Excel, I’m open to that—but the final deliverable must remain fully functional inside an .xlsx file. What I expect: • A well-structured Excel workbook that cleans the data, performs the analysis, and presents results on a summary dashboard. • Concise written explanations of key findings, assumptions, and recommended next steps. • Any supporting scripts or notes if you use supplementary...