Junior Data Analyst

placeMuntinlupa scheduleFull-time calendar_month 

Role Overview

The Junior Data Analyst supports the firm’s data analytics operations by handling core data entry, cleaning, verification, and basic reporting tasks. The role ensures that the datasets, trackers, and records underpinning the firm’s analytical work are accurate, current, and well-organized.

This is an entry-level execution role. It is designed for candidates building foundational skills in data handling, quality control, and structured workflows within a professional research and advisory environment. The position emphasizes accuracy, consistency, attention to detail, and reliable follow-through.

Key Roles & Responsibilities

Data entry, encoding, and records management
  • Accurately encode and input data into databases, spreadsheets, trackers, and other digital systems.
  • Maintain and update internal records, datasets, and reference files as directed.
  • Follow firm procedures for data management, file organization, and confidentiality.
Data cleaning and quality assurance
  • Verify and cross-check data entries against source documents to ensure accuracy and completeness.
  • Flag inconsistencies, duplicates, missing entries, and formatting errors for review by the Data Associate.
  • Assist in standardizing data formats across datasets (dates, categories, naming conventions, units).
Basic reporting, analysis, and visualization
  • Produce simple summaries, tables, and status updates from existing datasets as requested.
  • Assist in preparing basic charts, pivot tables, data snapshots, and visualizations for use in briefs, reports, and presentations.
  • Support the Data Associate and senior staff in compiling data inputs for client deliverables.
  • Where applicable, use basic scripting or coding tools to automate routine data tasks, generate visualizations, or support simple analytical workflows.
Administrative and coordination support
  • Support basic document preparation, formatting, and proofreading tasks.
  • Assist with file management, version control, and organized storage of working documents.
  • Provide ad hoc administrative and logistical support as needed within the team’s workflows.
Required Skills and Qualifications
  • Computer literate, with working proficiency in MS Office (Excel, Word) and Google Workspace (Sheets, Docs).
  • Strong attention to detail and a consistent instinct for catching errors.
  • Good typing speed and efficiency.
  • Ability to handle repetitive, high-volume tasks without loss of accuracy.
  • Strong organizational and time-management skills; reliable follow-through on assigned tasks.
  • Ability to handle confidential information responsibly.
  • Basic coding or scripting experience is a plus (e.g., Python, R, Google Apps Script, or similar tools for data cleaning, analysis, or visualization).
  • Fluency in Cebuano or Visayan is a plus.
  • Excellent written and spoken English proficiency.
Tools and Technical Proficiency
  • Excel and Google Sheets: comfortable with data entry, basic formulas, sorting, filtering, pivot tables, and simple charts.
  • Word and Google Docs: basic document formatting, tables, and clean layout.
  • Canva: ability to produce clean charts, simple infographics, and report visuals aligned to templates or brand guidelines.
  • Basic familiarity with coding or scripting tools (Python, R, or equivalent) for data manipulation, visualization, or light automation is an advantage.
  • Comfort with file management and digital organization practices.
  • Willingness to learn new tools and systems as required by the firm’s workflows.

Working Style and Performance Standards

Success in the role is measured by clean, accurate, and timely data handling. The Junior Data Analyst is expected to be dependable, organized, and self-checking. Errors caught before they reach senior review matter more than speed. Consistent execution of routine tasks to a high standard is the baseline expectation.

Career Progression

Junior Data Analyst ? Data Analyst ? Data Associate

This role is intended as an entry point into data and research support work within a professional advisory environment, with progression based on demonstrated accuracy, reliability, initiative, and growing analytical capability.

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