Data Analyst

工作内容

The Data Analyst is responsible for analyzing data to provide insights and support decision-making processes within the organization. They work with large datasets, perform statistical analysis, and communicate findings to stakeholders. The Data Analyst plays a critical role in helping the business understand trends, identify opportunities, and optimize performance based on data-driven insights.

Responsibilities:

1. Data Collection and Cleaning: Collect and clean large datasets from various sources to ensure data quality and integrity.

2. Data Analysis: Perform exploratory data analysis (EDA) to identify patterns, trends, and correlations within the data.

3. Statistical Modeling: Apply statistical techniques to analyze data and derive meaningful insights.

4. Data Visualization: Create visualizations (charts, graphs, dashboards) to present findings and communicate insights effectively.

5. Predictive Analytics: Develop predictive models to forecast future trends and outcomes based on historical data.

6. Data Interpretation: Interpret data analysis results and provide actionable recommendations to stakeholders.

7. Performance Monitoring: Monitor key performance indicators (KPIs) and conduct ad-hoc analysis to understand business performance.

8. Data Reporting: Prepare and deliver reports summarizing analysis findings and recommendations to stakeholders.

9. Collaboration: Collaborate with cross-functional teams, including data engineers and business analysts, to support data-related initiatives.

10. Continuous Improvement: Stay updated on data analysis techniques and tools, and identify opportunities to improve data analysis processes.

Required Skills:

1. Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.).

2. Strong quantitative and analytical skills with the ability to work with large datasets.

3. Knowledge of statistical analysis techniques and methodologies.

4. Experience with data visualization tools (Tableau, Power BI, etc.) to create compelling visualizations.

5. Familiarity with machine learning concepts and algorithms is a plus.

6. Excellent communication and presentation skills to effectively communicate findings to non-technical stakeholders.

7. Attention to detail and ability to ensure data accuracy and reliability.

8. Problem-solving skills and ability to think critically to derive insights from complex datasets.

9. Time management skills and ability to prioritize tasks in a dynamic work environment.

10. Collaborative mindset and ability to work effectively in a team environment.

Education and Experience:

- Bachelor’s degree in statistics, mathematics, computer science, or a related field.

- Previous experience in data analysis or a similar role is preferred.

- Certification in data analysis or relevant technologies is advantageous.

The Data Analyst plays a vital role in leveraging data to drive business decisions and improve organizational performance. By conducting thorough analysis and providing actionable insights, they enable stakeholders to make informed decisions and achieve strategic objectives.

Type d’emploi : Temps Plein, Freelance

Lieu du poste : En présentiel