Tableau Jobs

I’m a recent graduate preparing to apply for Data Analyst positions and I need a professionally written résumé that will help me stand out. I have basic academic and project experience but no full-time employment history, so the document has to frame my coursework, internships, and relevant skills in a way that passes ATS filters and appeals to hiring managers in analytics teams. Here’s what I’m looking for: • One- to two-page résumé in both editable Word/Google Docs and PDF formats • Clear, impact-oriented wording with data-driven achievements where possible • Section order and styling that follow current best practices for entry-level analytics roles • Optimised keywords for SQL, Python, Excel, Tableau, statistics a...

I need automated dashboards built in Tableau that pull our sales and expense data directly from our existing spreadsheets and accounting system. The key focus is a clear, interactive view of sales by region alongside salaries & wages so management can spot trends quickly without manual reporting. Source files arrive weekly, so the solution must refresh on a schedule with zero manual intervention. If you can streamline the data prep inside Tableau Prep or a similar ETL step, even better. While the initial scope covers sales-by-region and salary costs, I’m open to expanding to other metrics (total revenue, marketing spend, etc.) once the core framework is stable. Acceptance criteria • One Tableau workbook containing:  - Sales dashboard showing regional breakdowns, d...

We are looking for an experienced data analyst / developer to help us build a visual dashboard for inventory and sales performance, based on data from Loyverse POS (Back Office + API). Our company operates multiple retail stores (costume jewelry), and we need a reliable system to monitor stock, sales trends, and optimize purchasing decisions. Current Situation (Manual Process): At the moment, we rely on manual exports from Loyverse: • Export of current stock data (with unique SKU per product) • Export of sales data over a selected period (e.g., 30 days) • Calculation of average sales per product: Average Daily Sales = Quantity Sold / Number of Days Limitation: This method does not account for out-of-stock periods, which leads to inaccurate sales averages and poor resto...

I’m building a data-driven application that delivers complete game-level and player-level analytics for four sports: Football, Cricket, Formula One, and Tennis. The goal is to merge historical and live feeds into a unified warehouse, run advanced modelling on top of it, and expose the results through interactive dashboards and an API other products can tap into. Scope of work • Set up or connect to reliable data sources, normalise them, and design an extensible schema that copes with multiple sports and rule sets. • Develop the ETL pipeline (Python, SQL, Spark or a comparable stack) to ingest, clean, and enrich the data in near-real-time. • Build an analytics layer capable of producing player performance metrics, match summaries, and cross-sport comparisons. Pre...