Data Analyst / Business Analayst (Remote)

Job Title: Data Analyst (Remote - Philippines, Day Shift)

About Peiso

Peiso is an Australian startup specializing in delivering actionable insights to hospitality venues—including restaurants, hotels, and coffee shops. Our goal is to help our clients optimize operations, enhance customer experiences, and increase profitability by turning complex data into clear, accessible, and impactful dashboards and models.

The Role

We are seeking a Data Analyst to join our growing team. In this role, you will transform raw data into meaningful insights that guide strategic and operational decisions. You will be responsible for designing and maintaining data analyses, validating data accuracy, and creating interactive dashboards using BI tools. You will also collaborate closely with product teams, backend developers, and occasionally clients to ensure that data-driven recommendations are both accurate and impactful. This is a remote position based in the Philippines with a day shift schedule.
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Key Responsibilities
1. Data Analysis & Reporting
o Collect, clean, and analyze data from multiple sources (SQL databases, CSV uploads, etc.).
o Use BI tool AWS QuickSight to create dashboards and visualizations.
o Perform data validations to ensure accuracy and consistency of results.
2. Python-Based Data Processing
o Leverage Python libraries (Pandas, NumPy, etc.) to process and explore large datasets.
o Develop scripts to automate repetitive data tasks and improve efficiency.
3. SQL & Database Management
o Write complex SQL queries to extract, transform, and analyze data.
o Collaborate with backend teams to optimize queries and structure for analytics.
4. Collaboration & Cross-Functional Work
o Work closely with product teams or clients to define reporting needs and key performance indicators (KPIs).
o Coordinate with backend developers to ensure seamless data flow.
o Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
5. AWS Integration (Plus)
o Familiarity with AWS services such as Lambda, S3, and other relevant tools is a plus.
o Assist in configuring and monitoring AWS workflows to maintain data pipelines.
6. Quality Control & Data Validation
o Implement thorough validation checks to ensure data integrity.
o Proactively identify and troubleshoot data discrepancies or anomalies.
7. Continuous Improvement
o Stay updated with the latest data analytics technologies and best practices.
o Suggest process enhancements to improve data quality, accessibility, and insights delivery.
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Qualifications
• 2+ years of professional experience as a Data Analyst or in a similar role.
• Proficiency in Python and SQL.
• Hands-on experience with BI tools such as QuickSight, Power BI, or Tableau.
• Knowledge of data validation techniques and strong attention to detail.
• Familiarity with AWS services (Lambda, S3, etc.) is a plus.
• Strong analytical and problem-solving skills.
• Excellent collaboration and communication abilities, with a track record of working effectively on cross-functional teams.
• Startup mindset: comfortable with ambiguity, proactive in problem-solving, and eager to take ownership.
• Familiarity with Scrum practices (sprints, standups, reviews, retrospectives).
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Why Join Peiso?
• Remote-First Environment: Work from home while collaborating with a global team, on a convenient day shift.
• Startup Culture: Contribute innovative ideas, take ownership of meaningful projects, and grow alongside a rapidly evolving business.
• Impactful Work: Help shape the future of data analytics for the hospitality industry, driving real-world results for our clients.
• Collaboration & Growth: Join a supportive team that values knowledge-sharing, mentorship, and continuous improvement.
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How to Apply
• Please send your resume and a brief cover letter detailing your relevant experience to aaron@peiso.io.
• Include “Data Analyst – Remote (Philippines)” in the subject line.
If you’re passionate about leveraging data to drive insights and making a tangible impact in the hospitality sector, we’d love to hear from you!