Senior Data Analyst
Manila
Amadeus
Job Title
Senior Data AnalystPurpose 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
We are an Equal Opportunity Employer and seek to hire the best candidate regardless of age, beliefs, disability, ethnicity, gender or sexual orientation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Business Intelligence Computer Science Data analysis Data quality Economics Excel Finance Mathematics Power BI Scrum SQL Statistics Unstructured data
Perks/benefits: Competitive pay
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