Description:
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:
ð??¹ Lead data analytics projects that influence key business decisions ð??¹ Work in a collaborative environment with Data Engineers and Data Scientists ð??¹ Use your expertise to mentor Junior Analysts and contribute to the company-wide data strategy ð??¹ Drive innovation and transformation through data-driven insights
Your Role:
â?? Gather, clean, and integrate data from multiple sources to ensure quality and accuracy â?? Perform exploratory data analysis (EDA) to uncover trends and anomalies â?? Create reports and dashboards to communicate insights effectively to stakeholders â?? Collaborate with Data Engineers and Data Scientists to ensure data accessibility and transformation â?? Translate complex data into actionable business insights and strategies â?? Lead the analysis and mentor Junior Analysts on best practices and technical approaches â?? Contribute to the development of the companys data strategy
What Youll Need:
â?? 5+ years of experience as a Data Analyst (8+ years preferred) â?? Proficiency in SQL for data extraction and manipulation â?? Strong skills in data wrangling and cleaning techniques â?? Experience with data visualization tools like Tableau or Power BI â?? Knowledge of statistical analysis tools (e.g., Python, R, Excel) â?? Strong communication skills with the ability to present insights to both technical and non-technical audiences â?? Proven leadership and mentorship experience for junior team members
Bonus Points For:
â?? Experience in retail or consumer analytics â?? Exposure to advanced analytics techniques like machine learning and predictive modeling â?? Proficiency in Python or R for data analysis â?? Familiarity with cloud-based data platforms (AWS, Azure, and GCP) â?? Experience with big data technologies (e.g., Hadoop, and Spark)
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24 Mar 2025;
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