Data Analyst at Darey.io

Darey.io is a DevOps virtual learning Bootcamp. In the Darey.io social learning program, you will take your knowledge and certifications and apply them to solve real problems. You may start with little or no IT knowledge but, after completing 30 hands-on projects, you are as good as other engineers with 3 years in the industry.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Lagos
Employment Type: Full-time

Job Description

• We are seeking a skilled Data Analyst to join our team.
• The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for extracting meaningful insights from data.
• As a Data Analyst, you will play a crucial role in shaping our data-driven decision-making processes and ensuring data accuracy and integrity.

Key Responsibilities
Data Collection and Cleaning:

• Gather data from various sources and ensure its quality and completeness.
• Clean, preprocess, and transform data as needed.

Data Analysis:

• Perform exploratory data analysis (EDA) to discover trends, patterns, and anomalies.
• Develop and apply statistical models and algorithms to extract insights.

Data Visualization:

• Create clear and impactful data visualizations, such as charts and graphs, to communicate findings effectively.

Reporting:

• Generate regular reports and dashboards for stakeholders.
• Summarize complex data findings in a simple and understandable manner.

Data Integration:

• Integrate data from various systems to create a unified dataset.
• Ensure data consistency and integrity across databases.

Predictive Analysis:

• Build predictive models to forecast trends or outcomes.
• Evaluate model performance and iterate as needed.

Collaboration:

• Collaborate with cross-functional teams to understand data requirements.
• Provide data-driven insights and recommendations.

Data Security:

• Ensure data security and compliance with data protection regulations.

Qualifications

• A minimum of 3 years of proven experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools and languages (e.g., Python, R, SQL).
• Strong data visualization skills using tools like Tableau, Power BI, or similar.
• Knowledge of statistical analysis and modeling techniques.
• Familiarity with data warehousing and ETL processes.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication and presentation skills.
• Attention to detail and accuracy.

Application Closing Date
Not Specified.

Method of Application
Interested and qualified candidates should:
Click here to apply online