タブローソフトウェア(Tableau) Jobs

Informatica Data Quality (IDQ) Specialist Availability- Immediate Mode - WFH Job Summary: Informatica Data Quality (IDQ) Specialist Allocation: Dedicated / Full-Time Objective: Own the end-to-end Data Quality management framework for the project, covering data profiling, rules definition, and remediation pipelines across the 8 in-scope data sources. Key Responsibilities & Scope of Work (SoW): Data Profiling & Analysis: Conduct detailed data profiling and analysis for 8 complex data sources (including systems like SAP, Moamalat, Bawaba, etc.) to identify data anomalies and gaps. Rules Catalog Development: Collaborate with business stakeholders to define, document, and build a reusable catalog of Data Quality (DQ) rules, thresholds, and issue classifications. Remediation & Cle...

I'm seeking a skilled data analyst to create an interactive dashboard for analyzing MSEDCL consumer power consumption. The analysis will focus on: - Peak usage times - Total monthly consumption - Consumption patterns by device Data sources will include smart meter data and billing records. Ideal Skills and Experience: - Proficiency in data analysis tools (e.g., Power BI, Tableau, Python) - Experience with smart meter data and billing records - Strong visualization skills for interactive dashboards - Background in energy consumption analysis is a plus Please provide samples of previous work in your bids.

This project presents a comprehensive data-driven analysis of Apple’s iPhone market impact in India using interactive Tableau visualizations. The dashboard explores trends in iPhone sales, customer preferences, pricing patterns, market growth, and consumer behavior across different regions and time periods. The objective of this project is to understand how Apple’s iPhone has influenced the Indian smartphone industry and consumer purchasing decisions. Using data visualization techniques, the dashboard transforms raw data into meaningful insights through charts, graphs, filters, and interactive stories. Key insights covered in the project include: Growth of iPhone users in India Comparison of iPhone models and pricing Customer satisfaction and buying trends Regional market an...

I’m completing a data-visualization course assignment that relies on a school-provided dataset, and I’d like hands-on support turning it into clear, compelling visuals. The brief is flexible on the exact chart types, but I must deliver polished outputs in either Tableau or Microsoft Power BI—whichever you feel will best showcase the insights. What I need from you: • A finished workbook (Tableau .twbx and Power BI .pbix) containing all visuals and a clean-looking dashboard. • A short write-up or annotated notes explaining the steps you took, the reasoning behind each chart choice, and any data-prep work, so I can confidently discuss the process in class. Clean, well-labeled fields and consistent styling matter because presentation is graded. If you spot...

I have a collection of Excel and CSV files that hold our customer data—demographics, purchase history, engagement metrics, and a few custom fields. My goal is to see exactly what the numbers are telling us right now, without venturing into forecasting or optimization. Here’s what I need: • A clean-up of the raw spreadsheets (standardised headers, consistent data types, removal of obvious input errors). • Core descriptive statistics—totals, averages, ranges, frequency counts—and any relevant ratios that highlight customer behaviour. • Clear visual summaries: pivot charts, heat-maps, or other simple dashboards built with Excel (Power Query / Power Pivot is fine) or Python (pandas, matplotlib, seaborn) if you prefer. • A short narrative r...

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...