Senior Data Analyst I

RELX International; Quezon City; On-site; PHP 1,100,000 - 1,700,000; Full time

Benefits offered by this job

Remote tools and enterprise benefits

Job summary

Elsevier's Global Business Intelligence team seeks a Senior Data Analyst to turn data into actionable insights for sales leadership and senior management. You will collaborate with stakeholders to define requirements, build dashboards in Excel, Tableau, and Power BI, and contribute to the Nexus data warehouse.

You will lead data modeling standards, leverage AI tools responsibly, and partner across Finance, Operations, Sales, Content, and IT to keep data reliable and current.

Qualifications

• 5+ years in a business intelligence or data analyst role.
• Strong SQL skills and experience with a data warehouse (Snowflake preferred).
• Experience building reports and dashboards in Tableau or Power BI.
• Advanced Microsoft Excel skills and ability to learn enterprise AI tools.
• Bachelor's degree and ability to translate stakeholder questions into analysis.

Responsibilities

• Partner with stakeholders to understand business processes and challenges.
• Design and build dashboards and visualizations in Excel, Salesforce, and Tableau.
• Design, build, and maintain Nexus data warehouse; support Snowflake migration.
• Lead ambiguous requests, scope work, and present recommendations to stakeholders.
• Set standards for data modeling, code reviews, and consistency across dashboards.
• Use AI tools to accelerate development, analysis, and documentation responsibly.
• Review reporting portfolio, perform ad hoc analyses, and train users for adoption.
• Collaborate across Finance, Operations, Sales, Content, and IT to keep data current.
• Share best practices within the Elsevier Data & Analytics community.

Skills

SQL

AI Tools

Stakeholder communication

Data analysis

Excel

Power BI

Education

Bachelor's degree

Tools

Snowflake

Tableau

Job description

About The Role

As a Senior Data Analyst on Elsevier's Global Business Intelligence team, you will help the Sales organization work more effectively by turning data into insights that sales representatives, sales leaders, and senior management can act on.

Accountabilities

• Partner with stakeholders to understand their business processes and challenges, and propose how data can help.
• Define clear specifications, then design and build user-friendly dashboards and visualizations in Excel, Salesforce, and Tableau that deliver actionable insight.
• Design, build, and maintain Nexus, our data warehouse, together with the rest of the team - including the SQL and transformation logic behind it. We are migrating from SQL Server to Snowflake, and you will help shape how we build on it.
• Take the lead on ambiguous or high-visibility requests: scope what is worth building, push back where data will not answer the question being asked, and bring a recommendation to senior stakeholders.
• Set and uphold standards for how the team builds - data modeling conventions, code review for SQL and data models, and consistency across dashboards.
• Use AI tooling - Claude, Claude Code, ChatGPT, and Codex - to accelerate development, analysis, and documentation, and set the standard for how the team uses it responsibly.
• Review our reporting portfolio for improvements and unmet reporting needs, run ad hoc analyses and presentations as they arise, and improve the sales tools our colleagues rely on - training users so that adoption and institutional knowledge grow with them.
• Work across our international organization - Finance, Operations, Sales, Content, and IT - to keep our data aligned, reliable, and current.
• Share best practices with analysts, data governance specialists, and technical experts across the wider Elsevier Data & Analytics community.

What success looks like

• In your first three months: you know the Nexus data model, the reporting portfolio, and the stakeholders behind it, and you are contributing changes with support from the team.
• By six months: you are working confidently across our warehouse and reporting environment, and stakeholders come to you with their reporting questions.
• By twelve months: you are influencing how the team builds - SQL and data modeling conventions, dashboard design - and reporting that used to take days is faster or self-serve.

Qualifications

• 5+ years in a business intelligence or data analyst role.
• Strong SQL skills and experience working in a data warehouse - Snowflake ideally - including window functions, CTEs, and query optimization against large tables.
• Experience building and testing data transformation models - in any modern framework - or strong SQL and a clear appetite to learn one.
• Experience building reports and dashboards in a visualization platform such as Tableau or Power BI.
• Advanced Microsoft Excel skills.
• Hands-on experience with AI tools - Claude, Claude Code, ChatGPT, or Codex - or a clear appetite to work this way day to day, with the judgment to know when to trust output and when to verify it.
• Experience setting technical standards or reviewing others’ work, and comfort leading requests where the right answer isn’t defined upfront.
• A track record of translating stakeholder questions into analysis, and presenting findings clearly to non-technical audiences.
• Strong organizational skills, with the ability to work independently and prioritize across competing requests.
• Bachelor's degree.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

Nice to have

• A degree in business, accounting, finance, computer science, statistics, or a related field.
• T-SQL, or experience with a Microsoft SQL Server environment.
• ETL and orchestration tooling such as Talend, Fivetran, or Airflow.
• Experience with quantitative and qualitative research methods or customer insight work.

Why join us

Global Business Intelligence is a small, senior team with direct reach into the Sales organization - your work is used by representatives and leadership rather than filed away. You will join at the point where the platform is being rebuilt, so the decisions you make now set the standard for years.

• A modern stack - Snowflake and current AI tooling - with budget and mandate to keep it current.
• Visible, senior-facing work: your analysis reaches sales leadership and senior management directly.

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