Senior Data Analyst

Reed Elsevier Philippines; Quezon City; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work setup

IT Equipment provided

HMO coverage from Day 1 for you and 4+

Retirement plan with company matching

Life and Accident Insurance from Day 1

24 PTO days + 6 after year 5

Merit increases and incentives

Learning/workshops/c-certifications

Job summary

Reed Elsevier Philippines is seeking a Senior Data Analyst to join the Global BI team. You will convert data into actionable insights for the Sales organization, enabling leaders and reps to act on analytics.

The role combines strong analytical and technical skills with business understanding, including building dashboards, maintaining our data warehouse, and leading high-visibility data initiatives.

Qualifications

• 5+ years in BI or data analytics, supporting Sales or Customer Service preferred.
• Strong SQL, including window functions, CTEs, and optimization on large data sets.
• Experience building reports and dashboards in Tableau or Power BI.
• Advanced Excel skills and ability to set data standards and review others' work.
• Ability to translate stakeholder questions into actionable analysis and present clearly to non-technical audiences.

Responsibilities

• Partner with stakeholders to understand business processes and challenges, proposing data-driven solutions.
• Design, build, and maintain dashboards and visualizations in Excel, Salesforce, and Tableau delivering actionable insights.
• Develop and maintain Nexus data warehouse with SQL and stored procedures in SQL Server and Snowflake.
• Lead ambiguous, high-visibility requests; scope, validate, and present recommendations to senior stakeholders.
• Set standards for data modeling, code reviews for SQL, and consistency across dashboards.
• Review reporting portfolio, identify improvements, and perform ad hoc analyses and presentations.
• Collaborate across Finance, Operations, Sales, Content, IT to keep data aligned and current.
• Build and improve sales tools and train users to grow adoption and institutional knowledge.
• Share best practices across analysts, data governance, and technical teams.

Skills

Five+ years BI experience

SQL proficiency

Stored procedures

Tableau or Power BI

Excel expertise

Stakeholder communication

Organizational skills

AI tooling awareness

Education

Degree in business/CS/finance/statistics

Tools

Tableau

Power BI

SQL Server

Job description

Join us and enjoy benefits designed to help you thrive:

• Flexible hybrid work setup
• IT Equipment provided
• HMO coverage starting from Day 1 for you and FOUR FREE dependents
• Attractive retirement package with company matching
• Life and Accident Insurance starting Day 1
• 24 Annual PTOs, additional 6 once you reach your 5th year with us
• Competitive benefits with annual merit increase and incentives
• Continuous improvement for our employees (workshops, certification programs, learning sessions, etc.)

Work Arrangement:

• Set-Up: Hybrid (1-2/month onsite reporting)
• Location: UP AyalaLand Technohub, Commonwealth, Quezon City

Job Description:

As a Senior Data Analyst on the 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.

The work suits someone who pairs strong analytical and technical skills with real business understanding, and who instinctively takes a process or problem apart to look for a better way to solve it.

Key Responsibilities:

• 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 stored procedures behind it. Our stack runs on SQL Server and Snowflake.
• 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 modelling conventions, code review for SQL and stored procedures, and consistency across dashboards.
• Review our reporting portfolio to identify improvements and unmet reporting needs, and run ad hoc analyses and presentations as they arise.
• Work across our international organization — Finance, Operations, Sales, Content, and IT — to keep our data aligned, reliable, and current.
• Build and improve the sales tools our colleagues rely on, and train users so that adoption and institutional knowledge grow with them.
• Share best practices with analysts, data governance specialists, and technical experts across the wider Elsevier Data & Analytics community.

Qualifications:

• 5+ years in a business intelligence or data analyst role, ideally supporting Sales or Customer Service teams.
• Strong SQL skills against a relational database or cloud data warehouse, including window functions, CTEs, and query optimization against large tables.
• Experience writing and maintaining stored procedures, and comfort owning that code over time.
• Experience building reports and dashboards in a visualization platform such as Tableau or Power BI.
• Advanced Microsoft Excel skills.
• 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.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

The following are a plus, not requirements:

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