Data Analyst

8 hours ago

Bucharest, Bucureşti, Romania X2 Nations Eu Full time 15,000 - 30,000 per year

About the job Data Analyst Position Title: Data Analyst Position Overview: The Data Analyst will be responsible for collecting, analyzing, and interpreting data to support business decision-making. The role requires strong analytical skills, proficiency in SQL and visualization tools, and the ability to collaborate with cross-functional teams. The ideal candidate will transform raw data into actionable insights and reports that drive strategic and operational improvements. Key Responsibilities 1. Data Analysis & Insights Collect, clean, and analyze data from multiple internal and external sources. Conduct in-depth analyses using advanced statistical methods to identify patterns and correlations. Build dashboards and reports to monitor KPIs and business performance. Identify opportunities for process improvement and recommend data-driven solutions. Translate complex data findings into business-friendly recommendations. 2. Data Design & Automation Design databases and systems to organize, store, and access data efficiently. Streamline data collection methods with automated routines. Develop scripts and tools to extract large volumes of data automatically. Collaborate with IT and data engineering teams to ensure scalable and reliable infrastructure. 3. Collaboration & Business Engagement Work closely with business stakeholders to understand reporting needs. Translate business requirements into technical specifications. Present results and insights to both technical and non-technical audiences. 4. Data Quality & Governance Ensure accuracy, consistency, and integrity of data across all reports. Maintain documentation of data sources, metrics, and processes. Support data governance and compliance with security policies. Required Qualifications & Skills Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 2-4 years of experience as a Data Analyst, BI Analyst, or similar role. Proficiency in SQL for data extraction, transformation, and analysis. Strong knowledge of data visualization tools (Power BI, Tableau, Qlik, etc.). Advanced skills in Excel for analysis and reporting. Understanding of data modeling, relational databases, and ETL/ELT processes. Strong analytical thinking, problem-solving, and attention to detail. Excellent communication and presentation skills. Nice-to-Have Skills Experience with Databricks (SQL Analytics, Delta Lake, Spark, Notebooks). Familiarity with cloud data platforms (Azure, AWS, GCP). Knowledge of cloud-based data warehouses (Snowflake, Redshift, BigQuery). Programming skills in Python or R for advanced analytics. Experience with statistical analysis, predictive analytics, or machine learning. Knowledge of Agile methodologies and cross-functional teamwork. Key Competencies Strong business acumen and ability to align insights with strategy. Ability to manage multiple priorities under tight deadlines. Team-oriented mindset with strong collaboration skills. Curiosity and willingness to learn new tools and technologies. Career Path & Growth This role offers career development opportunities toward: Senior Data Analyst BI Developer Analytics Consultant Data Scientist

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