Data Analyst at Qode

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, PySpark, Statistical Analysis, Data Visualization, Looker, Tableau, Databricks, Credit Risk, Lending Products, GDPR, Customer Lifecycle Analytics, Collaboration, Communication, Problem-Solving

Industry

Software Development

Description

This is a position at Qode's Client Description About This Role:We’re looking for a Data Analyst who’s excited to dig into the numbers, uncover insights, and help the business make smarter decisions. In this role, you’ll partner with teams across the company to understand their questions, explore the data, and turn your findings into clear, practical recommendations.While your main focus will be analysis and storytelling, you’ll also bring solid technical skills to the table — helping us build reliable datasets, improve reporting, and make sure our data is accurate and easy to use. You’ll play a big part in strengthening our data-driven culture by making information more accessible and empowering colleagues to use data with confidence. Key ResponsibilitiesData Exploration & Modeling Collect, clean, and analyze data from multiple sources to support business needs. Build and maintain core analytical datasets and reports for cross-functional teams. Ensure accuracy, consistency, and reliability of data through validation and quality checks. Apply statistical and analytical techniques to uncover trends and opportunities. Business Partnership & Strategic Analysis Collaborate with business stakeholders to understand requirements and deliver actionable insights. Conduct in-depth analyses on customer behavior, product usage, and market trends. Translate complex data findings into clear, impactful recommendations for business strategy. Support data-driven decision-making across marketing, operations, finance, and product teams. Analytics Develop dashboards and KPI tracking tools to monitor business performance. Design and execute experiments (e.g., A/B tests) to evaluate initiatives. Present insights clearly and compellingly to technical and non-technical audiences. Team Development & Knowledge Sharing Promote data literacy by helping colleagues understand and leverage analytical tools. Share best practices in data analysis, visualization, and reporting. Contribute to documentation and training to enhance organizational analytics maturity. Dedicate a portion of time to cross-team projects that enhance company-wide data capabilities. Requirements 1. Technical Skills 4+ years (middle level) and 6+ years of experience (senior level) in data analysis Programming: Strong SQL expertise, including complex queries, CTEs, window functions, and optimization Languages: Proficiency in Python or PySpark for data manipulation and analysis Statistics: Solid foundation in statistical analysis, hypothesis testing, and experimental design Data Visualization: Experience with BI tools (Looker preferred, Tableau, or similar) Experience with Databricks 2. Business & Financial Services 2+ years of experience in financial services, fintech, or banking environment Understanding of credit risk, lending products, and regulatory requirements Knowledge of GDPR and data governance Experience with customer lifecycle analytics and retention strategies 3. Core Competencies Business Judgment: Ability to make strategic and operational decisions using data Problem-Solving: Tackle complex problems involving business, regulatory, and operational variables Communication: Exceptional ability to influence stakeholders and present data convincingly Collaboration: Experience working cross-functionally with non-technical teams *Preferred Qualifications Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or related quantitative field Experience with big data technologies and cloud platforms Machine learning and AI knowledge Previous experience in high-growth startup environments Familiarity with data modeling using statistical algorithms Experience building automated testing and monitoring systems Benefits Meal and parking allowance Full benefits and salary rank during probation Performance bonus up to 2 months 13th month salary pro-rata Insurances as Vietnamese labor law and premium health care for employees and family members 15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave Values-driven, international working environment, and agile culture Overseas travel opportunities for training and working related Internal Hackathons and company’s events (team building, coffee run, blue card…) Work-life balance 40-hr per week from Mon to Fri (hybrid)

Responsibilities

The Data Analyst will collect, clean, and analyze data to support business needs while collaborating with various teams to deliver actionable insights. They will also develop dashboards and promote data literacy across the organization.