Mariana

Open to work

Data Analyst

Lisbon, PortugalMid-Level

RemoteFull-time€20k expected / year

Contact this talentProfile updated Apr 30, 2025

About

Detail-oriented and proactive Data Analyst with experience in data organization, digital tools, and e-commerce platforms. Skilled in Excel, Google Sheets, Notion, and Trello. I'm seeking a remote opportunity where I can contribute by collecting, structuring, and visualizing data to support strategic decision-making and operational efficiency.

Professional details

Job title: Data Analyst
Job category: Data Analysis
Experience level: Mid-Level
Contract type: Full-time
Work modes: Remote
Current location: Lisbon, Portugal
Open to relocation: No
Expected salary: €20,000 per year

Skills

microsoftpythongoogle sheets

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AI profile score

May 13, 2025

68of 100

Good profile

Mariana's profile demonstrates a solid foundation as a mid-level Data Analyst with relevant skills and experience in data organization, digital tools, and e-commerce platforms. The candidate's location in Lisbon (Portugal) is advantageous due to its growing tech scene and favorable perception in the global job market. The job title 'Data Analyst' is highly sought after, particularly for remote roles, which aligns well with current market trends. However, there are several areas that could be improved: Firstly, the skill set lacks depth; while Excel, Google Sheets, and Trello are valuable, more advanced technical skills such as SQL, Tableau, or Power BI would significantly enhance her competitiveness. Additionally, Python is listed but not elaborated upon in terms of proficiency or use cases, which could strengthen the profile. Secondly, the professional summary could benefit from quantifiable achievements and specific examples of how Mariana has contributed to strategic decision-making. Lastly, the absence of a resume is a notable gap, as it limits the ability to showcase detailed work history, accomplishments, and further qualifications. The provided link to Behance is somewhat tangential to data analysis and might not add significant value unless it contains relevant data visualization projects. Overall, improving the technical skillset, providing concrete examples in the summary, and adding a comprehensive resume would elevate this profile considerably.

Country tier85/100
Job title90/100
Category85/100
Skills70/100
Summary75/100
Experience80/100
Links60/100
Resume30/100
Language50/100

How to improve

To enhance the professional summary, include specific achievements or metrics that demonstrate your impact in previous roles. For example, mention any improvements you've made in operational efficiency or decision-making processes through data analysis. Highlight key tools and methodologies you’ve used effectively, such as SQL queries, data visualization software like Tableau or Power BI, or machine learning techniques if applicable. Additionally, tailor the summary to emphasize your remote work capabilities and experience, as this is a critical factor for many employers. Finally, consider incorporating industry-specific keywords that align with the demands of modern data analytics roles, such as 'data-driven insights,' 'predictive modeling,' or 'business intelligence.'

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Mariana

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