Data Analyst I
RELX · Manila
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.
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