Data Analyst I
RELX is hiring a Data Analyst I in Manila, Philippines. Level rates it ; you can apply on RELX.
Level's read on this job
- Little AI ●○○○ is how Level rates this data analyst role: aI is not part of the work.
- The posting mentions SQL, Python and Power BI among its tools and skills.
- Level classes it as a junior role.
- RELX has 793 other open roles on Level.
AI in this role
Entry-level data analyst supporting reporting, business intelligence, and analytics initiatives.
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.
• Familiarity with AI-powered analytics, reporting, and productivity tools is a plus.
• Awareness of emerging AI and Generative AI technologies and their application in analytics, reporting, business intelligence, and process improvement.
• Ability to leverage AI tools responsibly to improve efficiency in data analysis, reporting, documentation, and workflow automation while adhering to company policies and data governance standards.
• Strong attention to detail and commitment to data accuracy.
• Effective oral and written communication skills.
• Strong organizational and time management skills with the ability to manage priorities and meet deadlines.
• Ability and willingness to learn new tools, technologies, and analytical techniques.
• Collaborative team spirit and customer-focused mindset.
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, maintain, and update recurring reports, dashboards, scorecards, and information products.
• Maintain reporting solutions to ensure accuracy, relevance, reliability, and business value.
• Perform data quality checks and ensure accuracy and consistency of reporting outputs.
• Assist in developing data visualizations that effectively communicate business insights.
• Conduct basic analyses to identify trends, patterns, performance indicators, business opportunities, and potential risks.
• Support stakeholder requests by gathering data and providing analytical outputs.
• Participate in discussions regarding analytical findings and recommendations.
• Prepare and present reports, dashboards, and analytical findings to stakeholders, clearly communicating insights, trends, risks, and opportunities.
• Translate analytical findings into clear and actionable insights that support stakeholder decision-making.
• Follow established data governance, security, and reporting standards.
• Document data sources, business rules, reporting processes, and analytical methodologies.
• Identify opportunities to improve data quality, reporting efficiency, and analytical processes.
• Escalate data issues, reporting risks, and project blockers to senior team members as appropriate.
• Participate in testing and validation of new reports, dashboards, and analytics solutions.
• Collaborate with team members and stakeholders to support a culture of data-driven decision-making.
• Demonstrate continuous learning and application of analytics best practices.
• All other duties as assigned.
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.
• Contributes positively to an inclusive and collaborative team environment.
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 through on commitments.
• Identifies opportunities to improve processes and ways of working.
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 data-driven decision-making through timely and actionable insights.
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 develops technical, analytical, and business knowledge.
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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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
How we rate this
Data Analyst I at RELX rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $112k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where reporting was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Business Intelligence, Reporting, Data Visualization, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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