Caut job – Analiză procese / Business Analysis

Domeniu: Analiză procese / Business Analysis
Locație: Iași, Iași
Experiență: 1 – 3 ani
Salariu dorit: 5.000 lei/lună net
Disponibil: 2 săptămâni
Tip job: Full-time
Program: Remote

Sunt un dezvoltator cu 3 ani de experiență în JavaScript (HTML, CSS, React) și Python, pasionat de cod curat și soluții bine gândite. Mă descurc atât în frontend, cât și în backend, și îmi place să înțeleg imaginea de ansamblu a unui proiect, nu doar bucata mea de cod. Sunt organizat, livrez la timp și comunic deschis când apar blocaje — cred că asta face diferența într-o echipă. Caut un mediu unde pot crește, contribui concret și lucra alături de oameni care țin la ce construiesc. Calificări / Permise: permisB, engleza, calculator, prim-ajutor

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Studii

Facultate

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Experiență

1 – 3 ani

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Disponibilitate

2 săptămâni

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Salariu dorit

5.000 lei/lună net

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Tip job

full-time

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Program

De acasă (remote)

Calificări & competențe

Permis cat. B Engleză Cunoștințe PC Prim ajutor

Experiențe anterioare

Nexus Learning Laboratory

Data Analyst | Internship

Noiembrie 2025 → Prezent

Designed and optimized relational databases using SQL
(DDL & DML: CREATE, ALTER, INSERT, UPDATE, DELETE),
improving data structure efficiency and reducing query
execution time through better schema design and
indexing strategies;
Extracted, transformed, and analyzed large-scale
datasets using SQL and Python (Pandas), delivering
actionable insights for real-world analytics projects and
improving decision-making accuracy;
Built dynamic and interactive dashboards in Power BI,
enabling stakeholders to track KPIs and operational
trends in real time, leading to faster and more informed
business decisions;
Performed comprehensive data cleaning, validation,
and transformation using SQL and Python, increasing
data accuracy and consistency across datasets and
reducing reporting errors;
Developed automation scripts using Python,
streamlining repetitive data processing tasks and
reducing manual workload while improving overall
processing efficiency;
Collaborated on end-to-end data workflows, integrating
SQL databases, Python pipelines, and Power BI
visualizations, ensuring seamless data flow from raw

Wise

Real-Time Data Analyst

Ianuarie 2026 → Prezent

Monitor real-time operational KPIs and performance metrics to ensure service level targets are met
Analyze live data streams to identify trends, anomalies, and performance gaps;
Develop and maintain real-time dashboards for operational visibility Use SQL and Excel to extract,
analyze, and validate data from multiple sources;
Collaborate with operations and management teams to provide actionable insights Support
decision-making through data-driven recommendations in high-pressure environments.
Key Achievements: Improved real-time reporting efficiency by automating KPI tracking dashboards
Reduced response time to operational incidents through proactive data monitoring.

Amazon

Audit & Compliance Specialist

Aprilie 2023 → Ianuarie 2026

Performed data validation and basic analysis using SQL and Python (Pandas), identifying
inconsistencies and helping enhance overall data quality;
Maintained and updated internal dashboards using Power BI, enabling accurate tracking of KPIs
and improving visibility into operational performance;
Conducted routine checks on operational datasets using SQL and Excel, ensuring data accuracy,
consistency, and reliability for reporting purposes.
Key Achievements:
Gained hands-on experience in SQL, Python (Pandas), and compliance reporting,
applying them to real-world data analysis and reporting scenarios;
Contributed to automating audit and reporting tasks using SQL queries and Python
scripts, reducing manual effort by 15–20%;
Developed foundational skills in operational data analysis and process monitoring,
improving data accuracy and supporting more efficient decision-making;

Technical Tier II Support Specialist

Verizon

Februarie 2022 → Aprilie 2023

Delivered advanced technical support as a Tier II specialist, resolving complex incidents across IT
systems, network infrastructure, and end-user environments, significantly reducing escalation
backlog;
Diagnosed and resolved high-priority issues escalated from Tier I using tools such as Active
Directory, VPN clients, and ticketing systems (e.g., ServiceNow/Jira), improving overall resolution
time and user satisfaction;
Maintained and audited system access and security logs using VPN monitoring tools and access
control systems, contributing to improved data integrity and compliance with internal security
policies.
Key Achievements:
Reduced incident resolution time by 25–30% by identifying root causes and applying structured
troubleshooting methodologies, improving overall system reliability;
Improved data accuracy and security compliance by 20%+ through regular audits, proactive
monitoring, and adherence to internal compliance standards.