Data Analyst - Customer Intelligence

LexisNexis Risk Solutions; Manila; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

RELX is seeking a data‑savvy Analyst to turn customer, commercial, and usage data into practical insights. You’ll work with researchers and cross‑functional partners to connect data sources, create repeatable analytics, and surface evidence-based recommendations.

The role involves building AI‑ready analytics, dashboards, and storytelling for leadership. The position emphasizes collaboration, cloud familiarity, and a strong foundation in SQL, Python, and Power BI to influence product decisions

Qualifications

• Bachelor's degree required in a relevant field.
• Strong analytical and problem‑solving skills with complex datasets.
• Proficiency in Python for data analysis, modelling and automation.
• Experience with SQL for data extraction and validation.
• Power BI for dashboards and storytelling; Excel for data analysis.
• Ability to communicate findings clearly to stakeholders.
• Understanding of cloud concepts and data architecture is advantageous.
• Experience with CRM data and customer insights is desirable.

Responsibilities

• Analyse customer, product usage and operational data to identify trends and risks.
• Develop insight to support customer behaviour, retention and product decisions.
• Create dashboards and reports to track key customer and business metrics.
• Automate recurring analyses and data preparation tasks in Python.
• Collaborate with cross‑functional teams to translate questions into analytics.

Skills

Analytical thinking

Problem solving

Python for data analysis

SQL querying

Data storytelling

Cloud concepts

Data architecture understanding

NPS & customer metrics

Excellent communication

Salesforce experience (desirable)

Education

Bachelor's Degree

Tools

SQL

Python

Power BI

Excel

Job description

To provide dedicated analytical capability within Customer Insights, connecting customer research, CRM data, product usage data and business performance metrics into clear, actionable insight. This role is designed to build future data science and AI capability while strengthening day‑to‑day reporting, dashboarding and evidence‑based decision making. You will be responsible for turning customer, commercial and operational data into practical insight that improves customer understanding, product decisions, retention, engagement and business performance. You will work closely with customer researchers and cross‑functional partners to bring together quantitative and qualitative evidence, helping the business move towards a more connected view of customer needs, behaviours and outcomes. You will have exposure to data science, automation, AI‑ready analytics, cloud environments and customer data architecture.

Key Responsibilities

1. Analytics and Insight Generation

   Analyse customer, product usage, commercial, Salesforce, survey and operational data to identify trends, opportunities and areas of risk. Support the development of insight that helps the business understand customer behaviour, engagement, retention, product adoption and customer experience. Conduct ad hoc analysis to support strategic projects, customer insight initiatives and leadership decision‑making. Work with Customer Insights colleagues to combine quantitative analysis with customer research findings and create clear recommendations.

2. Data Management and Reporting

   Extract, query, clean and manipulate data from multiple sources using SQL, Python and Excel. Support the maintenance and improvement of regular reports, dashboards and insight packs. Help define and track customer and business measures, including NPS, customer engagement, retention, product adoption and usage metrics. Support data validation and quality checks so reporting and recommendations are based on consistent and reliable data.

3. Data Science, Automation and AI Readiness

   Use Python to automate recurring analysis, reporting processes and data preparation tasks. Support statistical analysis, modelling and predictive analytics where appropriate. Contribute to proof‑of‑concept work linked to AI, data science and advanced customer analytics. Help identify opportunities to use automation and emerging analytical methods to improve the speed, quality and usefulness of insight.

4. Data Visualisation and Storytelling

   Create clear dashboards and visualisations in Power BI that help teams understand customer and business performance. Present analytical findings in a simple, practical way for both technical and non‑technical audiences. Support the creation of leadership‑ready insight summaries, packs and presentations. Help translate data into a clear story: what is happening, why it matters and what action should be considered.

5. Collaboration and Business Partnership

   Work cross‑functionally with key stakeholders, helping to turn business questions into analytical approaches and measurable outputs. Share learning openly and contribute to a more joined‑up view of customer data and customer evidence. Support a culture of evidence‑based decision making by helping teams use data with confidence.

Skills and Experience

• Essential Bachelor's Degree holder
• Strong analytical and problem‑solving skills, with the ability to work with complex datasets and generate practical insight.
• Strong data science and programming skills, with proficiency in Python for data analysis, modelling, automation and statistical applications.
• Experience in data manipulation, querying and analysis using SQL.
• Skilled in data visualisation and presentation of analytical findings using Power BI.
• Competent in Microsoft Excel for data analysis, reporting and business insight generation.
• Ability to communicate analytical findings clearly to business stakeholders.
• Strong attention to detail, especially around data quality, accuracy and interpretation.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
• Desirable Experience using Salesforce and understanding of how CRM data can support analytics and decision‑making.
• Understanding of customer insight, market research, customer experience or NPS measurement.
• Working knowledge of cloud computing concepts and cloud‑based visual or analytical environments.
• Understanding of data architecture concepts, including data warehousing and data lakes.
• Exposure to cloud computing environments such as Microsoft Azure.
• Exposure to predictive analytics, machine learning, AI‑enabled analytics or advanced statistical methods.
• Experience working with customer, commercial, subscription, product usage or behavioural datasets.

We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

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We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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: EEO Know Your Rights.

RELX is a global provider of information‑based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.