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Senior Data Analyst
4 weeks ago
Job Summary :
We are seeking a highly motivated and experienced Senior Data Analyst to join our growing team. The ideal candidate will have a strong analytical background, proficiency in data manipulation and visualization tools, and a proven ability to translate data into actionable insights. You will play a key role in supporting strategic decision-making by providing data-driven :
Data Analysis & Interpretation :
- Analyze large and complex datasets to identify trends, patterns, and insights.
- Interpret data and provide clear and concise reports to stakeholders.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs).
- Conduct ad-hoc analyses to answer specific business questions.
Data Management & Manipulation :
- Extract, transform, and load (ETL) data from various sources.
- Clean and validate data to ensure accuracy and consistency.
- Develop and maintain data documentation and data dictionaries.
- Manage and optimize data storage and retrieval processes.
Statistical Analysis & Modeling :
- Apply statistical methods to analyze data and draw meaningful conclusions.
- Develop and implement statistical models for forecasting and prediction.
- Conduct hypothesis testing and A/B testing to evaluate the effectiveness of initiatives.
Reporting & Visualization :
- Create compelling visualizations and dashboards using tools like Tableau, Power BI, or similar.
- Develop and deliver presentations to communicate findings and recommendations to stakeholders.
- Design and implement automated reporting processes.
Collaboration & Communication :
- Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
- Communicate effectively with technical and non-technical stakeholders.
- Provide mentorship and guidance to junior analysts.
Technical Skills :
- Proficiency in SQL for data extraction and manipulation.
- Experience with Python or R for data analysis and statistical modeling.
- Expertise in Tableau, Power BI, or similar tools.
- Experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Familiarity with cloud-based data warehouses (e.g., Amazon Redshift, Google BigQuery).
- Knowledge of statistical methods and techniques (e.g., regression analysis, hypothesis testing).
- Experience with statistical software packages (e.g., SPSS, SAS).
- Proficiency in data manipulation and cleaning techniques.
- Experience with data ETL processes.
Qualifications :
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- 5-10 years of experience in data analysis.
- Proven ability to analyze complex datasets and provide actionable insights.
- Strong problem-solving and analytical skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
Personal Attributes :
- Detail-oriented and accurate.
- Strong work ethic and commitment to quality.
- Ability to work in a fast-paced environment.
- Proactive and self-motivated.
- Curious and eager to learn.