Data Analyst, Growth and Enablement

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Position: Data Analyst, Growth and Enablement

Location: 1880 Building, Eastwood Libis, Quezon City

Work setup & shift: Dayshift / Hybrid

Why join MicroSourcing?

You'll have:Competitive Rewards: Enjoy above-market compensation, healthcare coverage on day one, plus one or more dependents, paid time-off with cash conversion, group life insurance, and performance bonuses.

A Collaborative Spirit: Contribute to a positive and engaging work environment by participating in company-sponsored events and activities.

Work-Life Harmony: Enjoy the balance between work and life that suits you with flexible work arrangements.

Career Growth: Take advantage of opportunities for continuous learning and career advancement.

Inclusive Teamwork: Be part of a team that celebrates diversity and fosters an inclusive culture.

The Data Analyst is responsible for transforming raw data into meaningful, actionable insights that support business decisions across the organization. This role involves gathering and cleaning data using SQL, Excel, Google Sheets, and Python; analyzing trends; building datasets; creating visualizations with Power BI, Tableau, Looker, or Google Apps Script; and presenting findings clearly to stakeholders.

You will collaborate closely with cross-functional teams to understand analytical needs, enhance data reliability, and actively contribute to a data-driven culture.

Main Activities & Responsibilities

Data Management: Collect, clean, and validate data from multiple internal and external sources. Build structured datasets and views for robust analysis and reporting.

Analysis & Modeling: Perform descriptive and diagnostic analysis to identify trends, anomalies, and performance drivers. Conduct statistical analysis and simple predictive modeling/forecasting.

Visualization & Dashboards: Develop data visualizations, dashboards, and insight summaries using BI tools (Power BI, Tableau, Looker).

Automation & Efficiency: Create automated workflows for recurring analyses using Excel, Google Sheets, or Google Apps Script to streamline operations.

Collaboration: Partner with Reporting Analysts, Senior Reporting Analysts, Business Solutions Architects, and BI&A Officers to enable scalable analytics and reporting.

Governance & Documentation: Document methodologies, transformations, data definitions, and assumptions. Ensure high data quality, completeness, and integrity through rigorous validation practices.

Qualifications & Experience

Education: Bachelor’s degree in Statistics, Economics, Data Science, Business Analytics, Computer Science, or a related field.

Experience: 1–3+ years of hands-on experience in a data analysis, reporting, or business intelligence role.

Core Technical Stack

Strong proficiency with SQL (joins, aggregations, window functions) for data extraction and transformation.

Advanced knowledge of Excel and Google Sheets (advanced formulas, pivot tables, modeling, DAX basics).

Direct experience with at least one major BI tool (Power BI, Tableau, or Looker).

Nice-to-Haves / Advantages

Experience using Python (Pandas, NumPy, Matplotlib/Plotly) or R for data analysis.

Experience with scripting languages for automation (Google Apps Script, VBA).

Functional Knowledge

Familiarity with basic forecasting techniques, trend analysis, and data governance/quality assurance best practices.

Proven track record of working with cross-functional teams to gather requirements and deliver tailored report solutions.

Key Competencies & Skills

Analytical Thinking & Problem Solving: Holistically interprets complex datasets to uncover trends and identify process inefficiencies to develop scalable solutions.

Data Storytelling: Translates complex data into clear, compelling narratives and visual dashboards tailored to both technical and non-technical audiences.

Attention to Detail: Conducts thorough data validation checks to ensure accuracy, consistency, and absolute integrity in all deliverables.

Collaboration & Business Acumen: Aligns reporting efforts with organizational goals while building strong relationships across departments to remain responsive to business priorities.

Continuous Learning: Demonstrates a growth mindset, proactively staying up-to-date with new data tools, technologies, and best practices.