Senior Data Analyst
2 months ago
Job Description :
As a Senior Data Analyst, you will play a crucial role in driving data-driven decision-making within our organization.
You will leverage your strong analytical skills and expertise in data analysis tools to extract meaningful insights from complex datasets and provide actionable recommendations to key stakeholders.
Key Responsibilities :
- Conduct in-depth data analysis using various statistical techniques and tools.
- Develop and maintain complex data models and visualizations to effectively communicate findings.
- Utilize data visualization tools (e., Tableau, Power BI) to create interactive dashboards and reports.
- Extract, clean, and transform large datasets from various sources (e., databases, APIs, spreadsheets).
- Employ data mining techniques to identify patterns, trends, and anomalies within the data.
- Develop and maintain business intelligence (BI) solutions to support data-driven decision-making.
- Collaborate with business users to understand their data needs and translate them into actionable insights.
- Create comprehensive reports and analyses to inform strategic decisions.
- Develop key performance indicators (KPIs) and track their performance over time.
- Ensure data quality and integrity throughout the organization.
- Adhere to data governance policies and procedures.
Required Skills and Qualifications :
- Strong proficiency in data analysis tools (e., SQL, Python, R, Excel)
- Experience with data visualization tools (e., Tableau, Power BI)
- Solid understanding of statistical concepts and techniques (e., descriptive statistics, hypothesis testing, regression analysis)
- Ability to communicate complex data insights effectively to both technical and non-technical audiences
- Experience with data mining and machine learning techniques (a plus)
- Bachelor's degree in a quantitative field (e., Statistics, Mathematics, Economics, Computer Science)
Preferred Skills and Qualifications :
- Experience with cloud-based data platforms (e., AWS, GCP, Azure)
- Knowledge of data warehousing and data lake concepts
- Experience with data governance and compliance frameworks (e., GDPR, CCPA)
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