# DeepSeek — raw output, 2026-09-13 22:15 (+07), free app, default mode with web search on, one message, no follow-ups "15 web pages." No memory feature. Interface Russian; answer in English. Copied via the chat's copy button (citation markers dropped by the copy). Chat URL kept open for review. --- **The core conclusion: The probability of switching to a Data Analyst position within 6 months is around 30-40%—not impossible, but requires precise effort.** Your bookkeeping experience is your biggest hidden asset (understanding business, being sensitive to numbers, knowing how to handle financial data), but the lack of a degree is a hard filter (many Portuguese companies' HR systems automatically screen). Using 8 hours per week for self-study with a €500 budget can only cover entry-level "skill proof" costs, not "credential purchases." ### 6-Month Execution Plan **Phase One: Skills Sprint (Months 1-2)** Your Excel is already sufficient; don't spend money on it. Focus firepower on **SQL and visualization**. - **Google Data Analytics Professional Certificate**: Try applying for **Financial Aid** on Coursera first, write a reasonable reason, and there's a good chance you can waive the $49/month fee. If applying is troublesome, just pay one month (approximately €45), sprint intensively, and finish core SQL and Tableau modules within a month. **Cost: 0€ or €45**. - **Don't buy**: Any course priced over €500, any bootcamp. Ironhack's part-time program costs €6500, and FLAG's is around €6000, both far exceed your budget. **Phase Two: Portfolio and Application (Months 3-4)** - **Replace certificates with projects**: Find a public financial/operational dataset (such as Lisbon accommodation data or a company's public financial report), use SQL for cleaning, and use Power BI or Tableau to create a dashboard. This is more effective than any certificate. - **Use bookkeeping experience as a "secret weapon"**: When applying, don't write "I want to switch careers," instead write "I understand how business data is generated, and I can find the anomalies behind the numbers." This is a Junior Data Analyst's scarcest soft skill. **Phase Three: Low-Tier Positioning and Application (Months 5-6)** - **Target "Junior", "BI Developer", "Operations Analyst" roles**. These positions have relatively low resistance to degrees, and value your business understanding more. - **Salary reality check**: Junior Data Analyst positions in Lisbon have a monthly net salary typically in the **€1,000 - €1,300 range** (before tax annual salary approximately €14k - €18k, Joblum has one showing base salary €1200 + meal allowance, OnlyJobs shows a range of €1026-€1512). Don't be scared by the "average salary €51k" mentioned in some reports; that's an experienced person's data. For career changers, realistic expectation is **€15k - €18k/year**. ### Honest Assessment of Odds **Advantages**: Bookkeeping background means you're not completely clueless about "financial business logic," communication cost is low, and Portuguese language skills are a plus in the local market. **Disadvantages**: No degree means your resume might not get through algorithmic screening in the first round. Many companies explicitly require "Licenciatura" (bachelor's degree), and this rigid hurdle is harder to cross than technical barriers. **Practical strategy**: Don't apply to large companies (which have strict screening). Focus on **small and medium-sized enterprises (SMEs), accounting firms, or startups**, whose HR often doesn't have automatic filtering and will look directly at your actual projects and previous experience. **If you get interviews within 6 months, you've already succeeded. If not, consider spending 3 months continuing to polish your portfolio, or pursuing a cheap Portuguese "TESP" (technical higher education) program to break through the degree barrier.** --- ## Links **None.** No course, certificate or salary source carries a URL; Coursera, Google, Ironhack, FLAG, Joblum and OnlyJobs are named only. The brief asked for links.