juan carlos tito damiani

Open to work

Senior Data Analist

ArgentinaOpen to relocationSenior

RemoteFull-time€20k expected / year

Contact this talentProfile updated Apr 14, 2026

About

Data Analyst with experience in building scalable ETL pipelines, automation workflows, and KPI-driven dashboards using Python, SQL, Power BI, and Azure. Proven track record of delivering data solutions for pricing, marketing, logistics, and operational analytics. Strong focus on performance optimization, data quality, and process automation using REST APIs, Docker, and CI/CD (GitHub Actions). Business-oriented mindset with the ability to translate complex data into actionable insights that drive efficiency and decision-making.

Professional details

Job title: Senior Data Analist
Job category: Business Development
Experience level: Senior
Contract type: Full-time
Work modes: Remote
Current location: Argentina
Open to relocation: Yes
Expected salary: €20,000 per year

Skills

bi analistdata basepython

Preferred work areas

Derry, Northern IrelandBelfast, Northern Ireland

Matching jobs

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AI profile score

Apr 14, 2026

62of 100

Fair profile

Juan Carlos presents a solid profile with strong technical expertise in data analytics, but several areas need improvement to maximize market value. The professional summary is well-structured and comprehensive, highlighting key technical skills and business impact. However, the job category 'Business Development' is misaligned with the data analyst role, which may confuse recruiters. The skills list is too brief and contains typos ('bi analist', 'data base') that undermine professionalism. Argentina is considered a Tier 3 country in the global job market, limiting geographic advantage. The LinkedIn link is provided but appears to be a mobile app URL, which may not display optimally on all devices. Most critically, no resume is provided, which severely impacts job search effectiveness as recruiters typically require a formal resume. To improve: 1) Correct the job category to 'Data & Analytics' or similar, 2) Expand and professionalize the skills list with proper terminology (e.g., 'Business Intelligence', 'Databases', 'Python', 'SQL', 'Power BI', 'Azure'), 3) Create a detailed resume highlighting specific achievements, metrics, and projects, 4) Consider obtaining certifications in high-demand tools to offset geographic limitations, 5) Update the LinkedIn link to a standard web URL for better accessibility.

Country tier40/100
Job title70/100
Category50/100
Skills40/100
Summary85/100
Experience90/100
Links60/100
Resume0/100
Language70/100

How to improve

The professional summary is strong but can be enhanced: 1) Start with a powerful opening statement emphasizing senior-level expertise, e.g., 'Senior Data Analyst with X+ years of experience...'. 2) Quantify achievements more specifically, such as 'Built ETL pipelines that improved data processing efficiency by X%' or 'Developed dashboards that reduced decision-making time by X hours'. 3) Include more industry-specific terminology relevant to target roles in Northern Ireland (e.g., mention experience with GDPR compliance if applicable). 4) Add a sentence about collaboration or leadership skills to showcase soft skills. 5) Consider tailoring the summary slightly for remote roles by emphasizing self-management and communication in distributed teams.

Contact this talent

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