Business Intelligence Support Analyst

Reposted 9 Days Ago
Be an Early Applicant
Manila, Metro Manila, National Capital Region, PHL
In-Office
Junior
Information Technology • Legal Tech • Analytics
The Role
Support, maintain, and improve BI solutions: build and maintain data pipelines, ensure data quality and governance, create executive dashboards and automated reports, perform SQL-based data extraction and validation, leverage generative AI for analysis, document processes, and respond to ad-hoc analysis requests while collaborating with stakeholders and technical teams.
Summary Generated by Built In

The BI Support Analyst is responsible for supporting, maintaining, and improving Business Intelligence solutions across the organization. This role ensures data accuracy, report reliability, and timely resolution of BI-related issues while collaborating with business stakeholders and technical teams to optimize reporting and analytics processes.

Key Responsibilities:
  • Support the Build and maintenance of data pipelines feeding executive dashboards and reporting systems.
  • Translate complex data interconnected from multiple sources into clear, visual insights for executive audiences.
  • Leverage generative AI to accelerate analysis and hypothesis testing.
  • Ensure data quality, governance, and regulatory compliance.
  • Support real-time decision-making through automated reporting and alerts.
  • Create and maintain standard reports and dashboards in BI tools.
  • Support data quality checks and document data issues.
  • Document analysis processes and maintain technical documentation.
  • Extract and validate data from multiple sources using SQL
  • Support ad-hoc analysis requests.

Qualifications:

  • Bachelor's Degree holder
  • 2+ years in business intelligence or data analytics.
  • Proficiency in SQL and Data Modeling (Snowflake, Databricks, SSRS).
  • Expertise in BI platforms (Tableau, Power BI, Looker).
  • Ability to communicate findings clearly and collaborate between technical and non-technical stakeholders.
  • Demonstrated high level of attention to detail.
  • Database and data warehouse fundamentals.
  • Statistical modeling and basic ML concepts.
  • Advanced Excel.
  • Familiarity with AI tools (Chat GPT, Claude, Copilot) and their applications.
  • Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
Preferred Skills:
  • Experience with AWS S3, Python/R.
  • Experience leveraging AI tools to improve workflows in a professional work setting.
  • Prior experience supporting system migrations and translating related analytics reporting

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.

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Skills Required

  • Bachelor's Degree
  • 2+ years in business intelligence or data analytics
  • Proficiency in SQL and Data Modeling (Snowflake, Databricks, SSRS)
  • Expertise in BI platforms (Tableau, Power BI, Looker)
  • Ability to communicate findings clearly and collaborate between technical and non-technical stakeholders
  • High level of attention to detail
  • Database and data warehouse fundamentals
  • Statistical modeling and basic ML concepts
  • Advanced Excel
  • Familiarity with AI tools (ChatGPT, Claude, Copilot) and their applications
  • Ability to quickly learn and apply enterprise AI tools and technologies
  • Experience with AWS S3, Python/R
  • Experience leveraging AI tools to improve workflows in a professional setting
  • Prior experience supporting system migrations and translating related analytics reporting

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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