Data Analyst/ Data Engineer

Job Description: As a Data Analyst / Data Engineer, you will be responsible for analyzing large datasets to uncover insights, trends, and patterns that will help inform business strategies. You will lead data projects, working closely with various departments to understand their data needs and provide actionable recommendations.

Key Responsibilities:

• Lead data projects from inception to completion, including planning, execution, and delivery.
• Collect, clean, and analyze large datasets from various sources.
• Develop and implement data models, algorithms, and statistical analyses.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with cross-functional teams to identify data-driven opportunities.
• Conduct ad-hoc analyses to support business initiatives.
• Stay up-to-date with the latest data science trends and technologies.

Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• more than 5 years experience as a Data Analyst or Data Scientist.
• Proficiency in data analysis tools such as Python, R, SQL, and Excel.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Demonstrated experience in leading data projects and managing stakeholders.

Preferred Qualifications:

• Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Experience with machine learning and predictive modeling.
• Knowledge of big data technologies such as Hadoop, Spark, or similar.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

We offer competitive package and attractive employee benefits including 5-day work, ex-gratia rest day, birthday holiday, training sponsorship and discretionary bonus.

Personal data provided by job applicants would be used for recruitment purposes only.