Data Analyst

Employment Type: Full-Time

• Job Overview: The Data Analyst is responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. This role involves developing and implementing data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. The Data Analyst will work closely with management to prioritize business and information needs, ensuring data integrity and improving overall business performance.

• Key Responsibilities:

• Data Collection and Analysis:

Collect, organize, and analyze big amount of data to identify trends, patterns, and insights.

• Use statistical methods to analyze data and generate useful business reports.

Interpret data, analyze results, and provide ongoing reports.

• Reporting and Visualization:

Develop and maintain dashboards, reports, and visualizations to communicate findings.

• Present data insights and recommendations to stakeholders in a clear and concise manner.

Data Quality and Integrity:

• Ensure the accuracy, completeness, and consistency of data.

Identify, analyze, and interpret trends or patterns in complex data sets.

• Work with management to prioritize business and information needs

Process Improvement:

• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.

Identify process improvement opportunities and provide actionable insights.

• Collaborate with other departments to enhance data infrastructure and processes.

Collaboration and Support:

• Collaborate with cross-functional teams to understand their data needs and provide analytical support.

Work with management to create a prioritized list of needs for each business segment.

• Provide technical expertise in data storage structures, data mining, and data cleansing.

• Qualifications:

Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.

• Proven experience as a Data Analyst or in a similar role.

Proficiency in data analysis tools and software (e.g., SQL, Excel, Python, R, Tableau) is an advantage.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Good balance between analytics and business sense.

• Excellent communication and presentation skills.

Experience with database management and data warehousing.

• Skills and Competencies:

Analytical thinking

• Statistical analysis

Data visualization

• Problem-solving skills

Attention to detail

• Strong mathematical skills

Proficiency in querying languages

• Knowledge of data modeling

Ability to work independently and in a team

• Working Conditions:

Office environment with standard working hours.

• May require occasional travel for meetings or conferences.

Job Type: Full-time

Benefits:

• Flexible schedule

Work from home
Schedule:

• 8 hour shift

Supplemental Pay:

• 13th month salary

Education:

• Bachelor's (Required)

Experience:

* Senior Data Analyst Level: 10 years (Required)