RELX
Data Analyst I
- Compensation
- Not disclosed
- Location
- Manila
- Work setup
- Not specified
- Seniority
- Junior
- Employment
- Not specified
- Experience
- 0+ years
- Category
- Data analytics
- Posted
Skills
Must have
- • 0–2 years of experience in Data Analytics, Business Intelligence, Reporting, Data Management, or a related field. • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, In
- - Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
- • Basic analytical and problem-solving skills. • Basic knowledge of data analysis, reporting, and business intelligence concepts. • Working knowledge of SQL and relational databases. • Working knowled
- ROLES AND RESPONSIBILITIES
- • Support senior analysts in delivering reporting, analytics, and business intelligence solutions. • Extract, consolidate, cleanse, validate, and prepare data from multiple approved sources. • Build,
- BEHAVIORAL EXPECTATIONS
- Collaborate to Deliver
- • Works effectively with colleagues and stakeholders to achieve shared objectives. • Communicates clearly, professionally, and respectfully. • Seeks and incorporates feedback to improve performance. •
- Act with Agility
- • Demonstrates curiosity and a willingness to learn new tools, technologies, and methodologies. • Adapts to changing priorities and business needs. • Takes ownership of assigned work and follows throu
- Drive Commercial Edge
- • Understands how analytics supports business goals and customer outcomes. • Uses data responsibly and accurately. • Considers the business impact of reporting and analytical deliverables. • Supports
- Engage Your Growth Mindset
- • Takes accountability for personal development and skill growth. • Learns from successes, challenges, and feedback. • Demonstrates resilience when working through unfamiliar problems. • Continuously
- We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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Full description
Job Description Summary
This position performs entry-level data analysis, reporting, and business intelligence assignments. The role supports the Reports and Business Analytics (RBA) Team through data preparation, reporting, dashboard maintenance, stakeholder reporting, and analytical activities. The position works under the guidance of more senior analysts while developing technical, analytical, and business acumen.
The Data Analyst I contributes to data-driven decision-making by collecting, preparing, analyzing, visualizing, maintaining, and presenting data and insights to support business operations, performance management, and strategic initiatives.
QUALIFICATIONS:
- 0–2 years of experience in Data Analytics, Business Intelligence, Reporting, Data Management, or a related field.
- Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, Economics, or related courses.
- Exposure to SQL, Python, Power BI, Tableau, Excel, or similar analytics tools preferred.
- Experience working with data from multiple sources is a plus.
- Exposure to Artificial Intelligence (AI), Generative AI, machine learning concepts, or AI-assisted productivity and analytics tools is a plus.
- Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
REQUIRED SKILLS:
- Basic analytical and problem-solving skills.
- Basic knowledge of data analysis, reporting, and business intelligence concepts.
- Working knowledge of SQL and relational databases.
- Working knowledge of Python for data analysis, data preparation, and automation tasks.
- Ability to access, extract, blend, and prepare data from multiple sources.
- Understanding of data quality, data governance, and data validation techniques.
- Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau, Excel, or similar).
- Ability to create charts, dashboards, reports, and information products that communicate insights effectively.
- Understanding of common visualization techniques and chart selection based on business needs.
- Basic understanding of statistical concepts, analytical methodologies, and data modeling principles.
- Ability to identify trends, patterns, opportunities, and risks from data.
- Understanding of how analytics and metrics support data-driven decision-making.
- Ability to interpret business requirements and translate them into analytical outputs.
- Ability to communicate analytical findings and insights through reports, dashboards, presentations, and stakeholder discussions.
- Ability to tailor data insights and visualizations to different stakeholder audiences.