Data Analyst

Taguig, National Capital Region
Posted today
Logo Hunter's Hub Inc.
Company:
Hunter's Hub Inc.
Company Description:
Hunter’s Hub Incorporated is a Sourcing and Headhunting company that was founded earlier on in the year 2018. The company prides itself in its ability to source and recruit only the best and brightest of each industry. Hunter’s Hub caters to numerous clients in a multitude of industries, and has a wide-range of candidate selections to suit any of our clients’ needs. Likewise, the company specialises in sourcing out highly skilled and multi-talented IT professionals because the company mostly caters to clients being widely known to be in the IT industry. Hunter’s Hub sets itself apart from the rest of the company in the industry due to the various prominent selections of services that are custom-fit for our clients and the numerous kinds of professionals we are able to provide. Our services are highly based off of our clients’ needs and requirements, and we are able to dispense any kind of personnel that they need whether professional or non-professional. We look for only the best, and provide only the best.
Contract Type:
Full Time
Experience Required:
5 to 10 years
Education Level:
Bachelor’s Degree
Gender:
Any
Number of vacancies:
2

Job Description

As a Data Analyst, you will be responsible for turning data into information, information into insight, and insight into business decisions. You will conduct full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities and will also monitor performance and quality control plans to identify improvements.

1. Data Transformation: Convert raw data into meaningful information that can guide business strategies.
2. Lifecycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity coordination and design implementation.
3. Develop reports and refine analysis and reporting tools to provide clear insights into business performance.
4. Continuously monitor and assess performance metrics to ensure optimal operation and identify areas for improvement.
5. Implement and oversee quality control measures to maintain the integrity and accuracy of data analysis.
6. Synthesize complex data sets to extract key trends and insights that drive decision-making processes.
7. Work closely with cross-functional teams to prioritize data and analytics needs and support data-driven decisions.
8. Proactively seek out and recommend process enhancements to streamline data collection and analysis procedures.
9. Constantly monitor, refine and report on the performance of data management systems.
10. Maintain a corporate repository of all data analysis artifacts and procedures.
11. Compliance
- Ensure that all company policies, procedures, programs and instruction are carried out
- Be familiar and understand the client's Compliance Standards. Must be fully aware of his/her responsibilities and competent to carry them out to the required standards. Must report all compliance matters openly and honestly to their Compliance Officer in accordance with the reporting requirements operated by the Compliance Officer. Must operate a process within his/her department to ensure that all relevant compliance matters are identified and reported.
12. Perform other functions as may be assigned.

Qualifications:
• Bachelor or Master’s degree in Computer Science or Engineering Mathematics, Industrial Engineering or Management.
• Minimum of 5 years of experience in the field.
• Experience in data analysis, designing, reports development with 3+ years of experience in Life Insurance, Health Insurance or Banking industry.
• Must be expert in PowerBI reports development.
• Database management system programming (e.g. Oracle, Microsoft SQL Server).
• User interface and query software.
• Agile methodologies.
• Predictive modeling, NLP and text analysis
• Data modeling tools (e.g. ERWin, Enterprise Architect and Visio).
• Data mining
• ETL tools
• UNIX, Linux, Solaris and MS Windows
• Hadoop and NoSQL databases
• Data visualization
• Strong interest in the latest relevant tools and technologies
• Strong analytical and problem solving capabilities
• Excellent communication skills
• Knowledge of latest analytics developments/trends.

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