DATA ANALYST

Job Description:

Overview: We are seeking a detail-oriented and analytical Data Analyst to join our team. The Data Analyst will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. The ideal candidate should have a strong background in data analysis, a keen eye for detail, and the ability to communicate insights effectively.

Key Responsibilities:

• Collect, process, and analyze large datasets to identify trends, patterns, and insights.
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Create and maintain dashboards and visualizations to present data in a clear and concise manner.
• Work closely with management to prioritize business and information needs.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Work with various departments to understand their data needs and provide actionable insights.
• Ensure data accuracy and integrity by conducting regular audits and data quality assessments.
• Collaborate with IT teams to enhance data collection and storage processes.
• Use data to support strategic business decisions and process improvements.

Qualifications:

• Bachelors degree in Statistics, Mathematics, Computer Science, or a related field. A Master's degree is a plus.
• Proven experience as a Data Analyst or similar role.
• Proficiency in data analysis tools and software such as SQL, Excel, R, Python, or SAS.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
• Excellent written and verbal communication skills to effectively convey complex data insights.
• Ability to work independently and collaboratively within a team.
• Strong problem-solving skills and a proactive approach to identifying issues and finding solutions.

Preferred Qualifications:

• Experience with big data technologies such as Hadoop, Spark, or similar.
• Familiarity with machine learning algorithms and their applications in data analysis.
• Certification in data analysis or data science (e.g., Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate).

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Technology