We are seeking a detail-oriented and analytical Data Analyst to collect, process, and perform statistical analyses on large datasets. The Data Analyst will help the organization make data-driven decisions by providing accurate insights, reports, and visualizations.
Key Responsibilities:
Gather, clean, and validate data from various sources to ensure accuracy and completeness.
Analyze datasets to identify trends, patterns, and anomalies.
Prepare detailed reports, dashboards, and visualizations to communicate findings to stakeholders.
Collaborate with different departments to understand data needs and support business goals.
Maintain databases and optimize data collection procedures.
Use statistical tools and software to interpret data sets (e.g., Excel, SQL, Python, R, Tableau).
Assist in developing predictive models and forecasting techniques.
Ensure data integrity and security standards are maintained.
Document methodologies, processes, and findings for future reference.
Qualifications:
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
Proven experience as a Data Analyst or in a similar role.
Proficiency in data analysis tools: Excel, SQL, Python, R, or equivalent.
Experience with data visualization software such as Tableau, Power BI, or similar.
Strong analytical and problem-solving skills.
Attention to detail and high level of accuracy.
Excellent communication skills to present complex data clearly.
Ability to work independently and as part of a team.