Senior Data Analyst

Are you a data enthusiast with a passion for turning complex data into actionable insights? A leading company in the retail tech space is looking for a Senior Data Analyst to join their innovative data team. In this remote role, you will play a pivotal part in shaping business strategy and driving data-driven decisions that have a significant impact on the organization.

Why You Should Apply:

🔹 Lead data analytics projects that influence key business decisions
🔹 Work in a collaborative environment with data engineers and data scientists
🔹 Use your expertise to mentor junior analysts and contribute to company-wide data strategy
🔹 Drive innovation and transformation through data-driven insights

Your Role:

✅ Gather, clean, and integrate data from multiple sources to ensure quality and accuracy
✅ Perform exploratory data analysis (EDA) to uncover trends and anomalies
✅ Create reports and dashboards to communicate insights effectively to stakeholders
✅ Collaborate with data engineers and data scientists to ensure data accessibility and transformation
✅ Translate complex data into actionable business insights and strategies
✅ Lead the analysis and mentor junior analysts on best practices and technical approaches
✅ Contribute to the development of the company’s data strategy

What You’ll Need:

✔ 5+ years of experience as a Data Analyst (8+ years preferred)
✔ Proficiency in SQL for data extraction and manipulation
✔ Strong skills in data wrangling and cleaning techniques
✔ Experience with data visualization tools like Tableau or Power BI
✔ Knowledge of statistical analysis tools (e.g., Python, R, Excel)
✔ Strong communication skills with the ability to present insights to both technical and non-technical audiences
✔ Proven leadership and mentorship experience for junior team members

Bonus Points For:

➕ Experience in retail or consumer analytics
➕ Exposure to advanced analytics techniques like machine learning and predictive modeling
➕ Proficiency in Python or R for data analysis
➕ Familiarity with cloud-based data platforms (AWS, Azure, GCP)
➕ Experience with big data technologies (e.g., Hadoop, Spark)
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