Job Summary
We’re looking for a curious and impact-driven Data Analyst to join our analytics team. In this role, you’ll turn raw data into actionable insights that support strategic decision-making across the company. You’ll work closely with business, product, and engineering teams to define metrics, analyze trends, and surface key findings that influence direction and outcomes.
This position is ideal for those passionate about using data to tell compelling stories and drive business impact, with opportunities to grow from individual analysis to strategic leadership.
What You’ll Do
- Analyze structured and unstructured data to generate business insights.
- Design and maintain dashboards, reports, and key metric tracking tools.
- Write SQL and use BI tools to answer complex business questions.
- Collaborate with cross-functional teams to scope problems and design analyses.
- Contribute to experimentation, A/B testing, and statistical analysis.
- Help define and enforce best practices around data accuracy, documentation, and accessibility.
Experience Levels Accepted
We are hiring across all experience levels, from Intern to Head of Analytics:
| Seniority Level | Years of Experience | Expected Focus & Contribution |
| Intern | 0–1 years | Support data cleaning and reporting tasks while learning business context and best practices. |
| Junior | 1–3 years | Build standard reports and dashboards; perform ad hoc analyses with guidance. |
| Mid-Level | 2–5 years | Own analysis projects, perform statistical evaluations, and develop stakeholder-facing tools. |
| Senior | 4–7 years | Lead analytics initiatives, advise on experimentation, mentor peers, and standardize metrics. |
| Lead | 7–10 years | Drive domain analytics strategy, align business KPIs, and present insights to executive teams. |
| Staff | 10–15 years | Set analytics vision, enforce best practices, and integrate predictive modeling across domains. |
| Head of Analytics | 15+ years | Define analytics org structure and goals; align data strategy with business growth and operations. |
Note: Final title, compensation, and scope of responsibilities will be aligned with the candidate’s experience level and capabilities.
Tools & Technologies
- SQL, Excel, Python
- Pandas, NumPy
- Tableau, Power BI, Looker
- Google Sheets, Google Analytics
- dbt, Jupyter
- BigQuery, PostgreSQL
- GitHub
At Analytics 4 Retail, we are committed to building a diverse and inclusive workplace. We welcome applicants of all backgrounds and experiences, regardless of age, gender identity, sexual orientation, race, ethnicity, religion, disability status, or veteran status. We believe diverse perspectives drive innovation and better decision-making. We also value your privacy — all applications are treated with strict confidentiality and will be used solely for recruitment purposes in accordance with applicable data protection laws.
If you prefer not to fill out the online form or encounter any issues, you can also apply by sending your resume directly to careers@analytics4retail.com.
To apply for this job email your details to maurycortess.mc@gmail.com