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