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.
