Senior Data Analyst

Job Overview:

The Senior Data Analyst will play a key role in collecting, analyzing, and interpreting complex data to inform business decisions. The ideal candidate will have extensive experience with data analytics, statistical analysis, and visualization tools. This position requires a deep understanding of business operations, excellent problem-solving skills, and the ability to communicate data-driven insights to stakeholders at all levels.

Key Responsibilities:

1. Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.
2. Develop and maintain interactive dashboards and reports to monitor key business metrics.
3. Collaborate with business units to understand data needs and translate them into actionable analyses.
4. Design and implement data models for predictive and prescriptive analytics.
5. Build and maintain forecasting models to support strategic planning.
6. Develop and enhance reporting processes and metrics to ensure they align with business goals.
7. Ensure data integrity and accuracy by performing data validation and cleaning tasks.
8. Collaborate with data engineering teams to improve data pipelines and data governance practices.
9. Lead ad-hoc data analysis projects, ensuring timely delivery and quality of insights.
Qualifications:

Bachelor’s or Master’s degree in Data Science, Mathematics, Statistics, Economics, Computer Science, or a related field.

Experience:
5+ years of experience in data analysis, business intelligence, or a related field.
Proven track record of working with large datasets and deriving actionable insights.
Experience in data visualization, dashboard creation, and reporting (e.g., Tableau, Power BI, Looker, etc.).
Technical Skills:
Proficiency in SQL for data extraction and manipulation.
Strong knowledge of statistical analysis and techniques.
Expertise in Excel or other spreadsheet tools for complex data analysis.
Familiarity with scripting languages such as Python, R, or similar.
Experience with data warehousing, ETL processes, and big data tools is a plus.