Business Analyst I 12 Months Contract I MNC Tech

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Peoplebank Singapore Pte Ltd
Singapore
SGD 60,000 - 80,000
Be among the first applicants.
5 days ago
Job description

About the Role

The Business Analyst / Data Specialist (12 Months Contract) for our client empowers data-driven decision-making and seamless collaboration across product and functional teams to accelerate product scaling.

We are passionate about:

  • Executing end-to-end data workflows, from SQL-based extraction to actionable insights.
  • Bridging global standards with local agility, enabling rapid product iteration through lightweight, market-specific data solutions.

Key Responsibilities

  1. Execute Quantitative Data Management
    • Extract and clean raw data from existing databases using SQL.
    • Build standardized spreadsheets and interactive dashboards (e.g., Superset) to validate product hypotheses during the concept stage.
  2. Support Non-Quantitative Data Collection
    • Conduct competitive analysis through manual research.
    • Develop lightweight methodologies for gathering small-sample data.
  3. Deliver Hypothesis Validation & Insights
    • Analyze and validate product hypotheses from Product Managers.
    • Present findings and actionable insights to key stakeholders.
  4. Support Cross-Team Collaboration
    • Document data processes and establish data integrity checks.
    • Collaborate with engineers, data scientists, design, and supply teams to ensure alignment.

Minimum Requirements

  • 2+ years of experience in data analysis or product support roles.
  • Technical Proficiency:
    • Strong SQL skills (complex queries, joins, aggregation).
    • Experience with data visualization tools (Superset preferred).
    • Spreadsheet automation skills (Google Sheets/Excel).
  • Operational Mindset:
    • Ability to seek optimal data approaches under high-pressure scenarios.
    • Proactive in identifying operational inefficiencies.
  • Collaboration Skills:
    • Communicate complex data insights to non-technical stakeholders.
    • Adapt quickly to evolving priorities and project needs.
  • Basic proficiency in Python or R for data cleaning.
  • Background in product operations or product analytics.
  • Strong competitor/market research capabilities.
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