Data Mining Senior Specialist

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Data Mining Senior Specialist

Apply locations Manila, Metro Manila time type Full time posted on Posted Yesterday job requisition id R19530

Job Title

Data Mining Senior Specialist

Purpose of the role:

The Data Analyst reporting to a Project Management/Scrum Master lead will work with Scrum Masters and Scrum is responsible for the following:

1. Gather raw data from various sources, including databases, spreadsheets, and external systems.
2. Manipulate SQL to perform in-depth structured and unstructured data analysis, identify trends, patterns, and anomalies, and generate actionable insights.
3. Clean and prepare data, implement data quality checks and processes, all to ensure data accuracy, integrity and consistency.
4. Support cross-functional agile teams understanding their data needs and providing data-driven recommendations to support their goals.
5. Conduct ad hoc analysis as requested by the business to address specific questions or concerns.
6. Expand and enhance reports for actionable data and in-depth analysis.
7. Be familiar with Business Intelligence tool, such as Power BI, to create meaningful and visually appealing, content rich and consumer centric reports and dashboards.
8. Stay updated on industry trends, emerging technologies, and best practices in data analysis and BI tools

In this role you'll:

• Work with Scrum Master in creating dashboards, reports and continuously improving them.

• Collaborate with Scrum master and their development team in identifying necessary project metrics.

• Track and manage project controls (risks, impediments and dependencies)

• Generate, analyze and report on project metrics

• Coordinate information and efforts among various groups such as product management, development, QA, deployment, and production teams

• Contributes to the overall improvement of Scrum Master/Project management practices in the organization through process improvement and other initiatives and active collaboration with other members of the Scrum Master/ Development Project Management team

About the ideal candidate:

• Bachelor's degree, preferably in analytics related field such as statistics, mathematics, information systems, computer science, finance, business management, or economics

• 2+ years of professional experience as an analyst in a data and analytics domain

• Minimum 5 years of professional experience in related fields

• Experience delivering end-to-end analytics projects, taking them from vague requirements to an impactful story, accessible across diverse audiences, and ultimately to a clear business outcome

• Excellent communication skills to collect requirements and effectively convey data findings

• Ability to work with large and complex datasets

• Ability to approach problems logically and make informed decisions based on the data

• Strong attention to detail and follow-through, with creative and analytical problem-solving skills

• Proven ability to take initiative, innovate, and solve complex problems

• Has knowledge of software development cycle following agile frameworks

• Excellent knowledge of Microsoft Excel, PowerPoint, Word

• Strong team player with collaborative mindset

• Eager and able to learn new systems/processes quickly

• Comfortable in a multi-cultural, international organization

• Ability to work both independently and collaboratively in a fast-paced environment, and manage multiple priorities simultaneously

• Strong organizational and time management skills

What we can offer you 

• Add your voice to a multicultural team of 16,000+ professionals

• Challenge yourself to find solutions to complex problems

• Hybrid work set-up, Competitive compensation and benefits package

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation,age, beliefs, disability or any other characteristics protected by law.

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