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 datadriven 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 the companywide data strategy
Drive innovation and transformation through datadriven 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 companys data strategy
What Youll 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 nontechnical 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 cloudbased data platforms (AWS Azure and GCP)
Experience with big data technologies (e.g. Hadoop and Spark)
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