Data Analyst
2 weeks ago
- Data Collection and Cleaning: Gather data from various sources, ensuring its accuracy and relevance by cleaning and preparing datasets for analysis.
- Data Analysis: Utilize statistical tools and techniques to explore and analyze data, identifying trends, patterns, and relationships that inform business strategies.
- Data Visualization: Create visual representations of data findings through charts, graphs, and dashboards to make complex data understandable for stakeholders.
- Reporting: Prepare detailed reports and presentations to communicate insights and findings, influencing decision-making processes within the organization.
- Collaboration: Work closely with cross-functional teams to understand their data needs and provide analytical support to drive informed decisions. 3
- 3 Sources
Required Skills and Qualifications
- Educational Background: A Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field is typically required.
- Technical Proficiency: Strong skills in data analysis tools such as SQL, Excel, and data visualization software like Tableau or Power BI. Familiarity with programming languages like Python or R is often beneficial.
- Analytical Skills: Ability to interpret complex data and provide actionable insights. Strong problem-solving skills and attention to detail are essential.
Job Type: Full-time
Pay: Up to Php75,000.00 per month
Benefits:
- Health insurance
- Life insurance
Application Question(s):
- Proficient experience in Automation
- -At least 2 years of experience with data visualization tools PowerBI
- Proven experience with data query and extraction technologies (e.g. SQL, Teradata, Snowflake, Google Big Data Query)
- Understanding of ETL processes and tools for data integration
- Amenable to work in Nightshift schedule ?
Work Location: In person
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