Job Summary:

As a Data Analyst, you will be responsible for gathering, processing, and analyzing data to support decision-making processes within the organization. You will work closely with various departments to understand their data needs, generate insights, and present findings that can drive strategic and operational improvements.

Key Responsibilities:

Data Collection & Management:

Collect, clean, and organize data from various sources.
Maintain and manage databases and data systems.
Ensure data accuracy and integrity.

Data Analysis & Interpretation:

Analyze complex data sets to identify trends, patterns, and insights.
Develop and implement statistical models and algorithms to solve business problems.
Perform exploratory data analysis to uncover hidden insights.

Reporting & Visualization:

Create comprehensive reports and dashboards to communicate findings to stakeholders.
Design and develop data visualizations to make data understandable and actionable.
Present data-driven insights and recommendations to both technical and non-technical audiences.

Collaboration & Communication:

Work closely with business units to understand their data needs and objectives.
Provide analytical support for business projects and initiatives.
Collaborate with IT and data engineering teams to ensure data systems meet organizational needs.

Process Improvement:

Identify opportunities for improving data collection processes and data quality.
Develop and implement best practices for data analysis and reporting.

Qualifications:

Education:

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

Experience:

2 + years of experience in data analysis or a related field.
Proven experience with data analysis tools and software (e.g., Excel, SQL, R, Python).
Experience with data visualization tools (e.g., Tableau, Power BI).

Skills:

Strong analytical and problem-solving skills.
Proficiency in data analysis and statistical techniques.
Ability to translate complex data into clear, actionable insights.
Excellent communication and presentation skills.
Attention to detail and commitment to data accuracy.

Knowledge:

Understanding of data warehousing and ETL processes.
Familiarity with machine learning algorithms and predictive analytics is a plus.
Knowledge of industry-specific regulations and standards related to data.

RPL International jobs

Data Analyst