Data Analyst II

Floward

Job Purpose

The Data Analyst II plays a key role in delivering data-driven insights and supporting decision-making across business units at Floward. This role involves conducting in-depth data analysis, building and maintaining ETL pipelines, designing performance dashboards, and applying statistical models to uncover growth and optimization opportunities. The Analyst collaborates closely with cross-functional teams to ensure timely, impactful, and actionable data outputs.

Key Responsibilities

Data Analysis & Interpretation

• Conduct exploratory data analysis to understand business processes and identify optimization opportunities.
• Apply statistical models and business logic to extract actionable insights from structured and semi-structured datasets.
• Design and interpret experiments and surveys that inform strategic business decisions.
  
  

Data Modeling & Pipeline Development

• Contribute to data modeling and transformation pipelines using SQL and Python.
• Build, automate, and maintain ETLs to ensure reliable and timely data delivery.
• Work with data engineers to ensure proper data governance and documentation.
  
  

Visualization & Reporting

• Develop dashboards and reports using BI platforms (Tableau, Power BI) to track and communicate key business metrics.
• Maintain and evolve visualizations based on stakeholder feedback and evolving business needs.
  
  

Business & Strategic Support

• Partner with product, marketing, operations, and finance to support strategic projects.
• Provide recommendations backed by data to drive commercial outcomes.
• Communicate insights clearly to technical and non-technical stakeholders across geographies.
  
  

Education

Skills and Qualifications

Bachelor’s degree in Computer Science, Statistics, Engineering, Economics, or a related field.

Experience

• Minimum 3+ years of professional experience in data analysis, preferably in the e-commerce or retail industry.
• Strong experience in SQL, with working knowledge of Python or R.
• Hands-on experience in building dashboards and performing exploratory data analysis.
• Prior experience in designing experiments and analyzing survey data is a plus.
  
  

Technical Skills

• Proficient in SQL, Python (Pandas, Matplotlib), or R (Shiny, ggplot2, RMarkdown).
• Experience with BI tools (e.g., Tableau, Power BI).
• Strong understanding of statistical concepts and data modeling techniques.
• Familiarity with Jupyter Notebooks and Git for version control.
  
  

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication skills, especially with leadership-level stakeholders.
• Ability to work independently and as part of a geographically distributed team.