Analytics Engineer

TymeX; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A leading company in financial services is seeking an Analytics Engineer to enhance data infrastructure and support strategic decision-making. The role demands a blend of technical expertise and strong business acumen to drive data-driven insights. The ideal candidate will possess substantial experience in financial services and a solid foundation in data analytics, ensuring they contribute effectively to the company's mission of simplifying financial complexities.

Benefits

Meal and parking allowances

Full benefits during probation

Insurances according to Vietnamese labor law

Performance bonus up to 2 months

13th month salary pro-rata

15-day annual leave + sick and special leaves

Career development opportunities

International working environment

SMART goals and training

Work-life balance with 40-hr workweek

Qualifications

• 2+ years experience in financial services, fintech, or banking.
• Understanding of credit risk and lending products.
• Proficiency in Python or PySpark for data manipulation.

Responsibilities

• Design and maintain ETL/ELT pipelines for data transformation.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Develop statistical models and maintain automated dashboards.

Skills

SQL

Python

Statistical Analysis

Data Visualization

Databricks

Education

Bachelor's degree in Mathematics, Statistics, Economics, or related field

Tools

Looker

Tableau

Job description

About This Role:
We are seeking a passionate Analytics Engineer to join our mission of revolutionizing financial services and freeing people from complexity. You will act as a bridge between our business needs and data infrastructure, helping all team members properly and efficiently use data in their processes. This role is crucial for maintaining our customer-centric, data-driven culture that challenges traditional banking.

Key Responsibilities:
1. Data Infrastructure & Modeling

• Design, build, and maintain ETL/ELT pipelines to transform raw data into "analytics-friendly" formats
• Develop core datasets that serve as canonical sources of truth across the organization
• Implement data governance practices and ensure data quality standards
• Optimize data architecture to support rapid business growth and scaling

2. Business Partnership & Strategic Analysis

• Collaborate directly with business stakeholders to understand their needs and translate them into technical solutions
• Conduct deep-dive analyses on customer behavior and product performance
• Drive data-driven decision making across all business domains

3. Analytics & Insights

• Develop statistical models, hypothesis testing, and A/B testing frameworks.
• Create and maintain automated dashboards and KPI metrics.

4. Team Development & Knowledge Sharing

• Act as a data literacy multiplier, helping colleagues improve their analytical capabilities
• Document and promote data best practices across squads
• Spend 20% of time on strategic company-wide data integration projects

Requirements

1. Technical Skills:

• 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 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
• Meal and parking allowance are covered by the company
• Full benefits and salary rank during probation
• Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory
• Performance bonus up to 2 months
• 13th month salary pro-rata
• 15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave
• SMART goals and clear career opportunities (technical seminar, conference, and career talk) – we focus on your development
• 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