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We are looking for a detail-oriented and analytical Data Analyst to transform data into actionable insights that support business decision-making. The ideal candidate has several years of experience working with data, strong analytical thinking skills, and the ability to communicate findings clearly to both technical and non-technical stakeholders.
This role bridges business needs and data, ensuring that accurate, meaningful information drives strategic and operational improvements.
Key Responsibilities
- Collect, clean, and validate data from multiple sources to ensure accuracy and reliability;
- Analyze large datasets to identify trends, patterns, and opportunities;
- Develop dashboards, reports, and visualizations to support business performance tracking;
- Translate business questions into data queries and analytical solutions;
- Work closely with stakeholders to understand reporting needs and KPIs;
- Perform ad hoc analysis to support decision-making;
- Identify data quality issues and recommend process improvements;
- Support the development and maintenance of data models and databases;
- Document methodologies, processes, and definitions for reporting consistency;
- Ensure compliance with data governance and data protection standards.
Required Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or related field;
- 2–5+ years of experience in a Data Analyst or similar analytical role;
- Strong knowledge of SQL;
- Experience with data visualization tools (e.g., Power BI, Tableau, Looker, or similar);
- Proficiency in Excel (advanced formulas, pivot tables, data analysis);
- Experience working with large datasets and databases;
- Strong analytical and problem-solving skills;
- Ability to communicate complex findings in a clear and structured way;
- Attention to detail and strong organizational skills.
Nice to Have
- Experience with Python or R for data analysis;
- Knowledge of data warehousing concepts;
- Experience with ETL processes;
- Familiarity with statistical methods and forecasting.
Soft Skills
- Business mindset with a focus on practical insights;
- Ability to work independently and manage multiple priorities;
- Strong communication and stakeholder management skills;
- Curiosity and proactive approach to identifying improvements;
- Team player with a collaborative attitude
What Success Looks Like in This Role
- Stakeholders rely on your reports and dashboards for decision-making;
- Data inconsistencies are reduced through your quality checks;
- Business processes improve based on your insights;
- Reporting becomes more automated and efficient.
Key Skills
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