Junior Data Analyst

Position: Junior Data Analyst

PLEASE FILL OUT THE JOB APPLICATION FORM LINKED BELOW TO PROCEED WITH YOUR APPLICATION:

https://docs.google.com/forms/d/e/1FAIpQLSfGC98yN9wyr6r5ibBWsllWLjXzR3Km7BRBh8hpQmFDwB-J7w/viewform

Mission:

To ensure reports are organized, efficient and can be easily processed by cross-functional teams such as Data Engineering and especially Business teams to answer business questions via Tableau and using ad-hoc SQL Queries.

Responsibilities:

• Data Manipulation and Transformation:
• Utilize SQL or other programming languages to manipulate and transform data
• Data Visualization:
• Create compelling visualizations and dashboards to communicate data-driven insights. Use tools like Tableau
• Present complex findings and insights to both technical and non-technical audiences.
• Identify trends and potential opportunities for dashboard improvements and create enhanced self-service capabilities for users
• Collaboration and Cross-Functional Support:
• Work closely with business stakeholders to understand their needs and provide data-driven solutions.
• Collaborate with data engineers and domain experts to ensure successful project outcomes.
• Collaborate with product managers to align data analysis with the product roadmap and strategic goals.
• Identify opportunities for process optimization and efficiency enhancements based on data insights.
• Collect, manipulate and test data to provide actionable recommendations for business stakeholders
• Growth Strategy and Analysis Support. Contribute to strategic decision-making by providing data-driven recommendations:
• Analyze internal performance metrics, including app usage, redemption rates, store performance, and user behavior
• Conduct external research and analysis, including case studies, business reviews, and other ad hoc requests to support business growth
• Evaluate marketing campaigns and initiatives to determine their effectiveness and provide actionable insights
• Assess product efficiency, time spent by users, and conversion rates to identify areas for improvement

Qualifications:

• Data Analysis, Visualization and Technical Skills: Proficiency in data analysis languages such as SQL for data manipulation and statistical analysis. Experience with data visualization tools like Tableau to create informative visualizations and dashboards. Python proficiency for data modeling and predicting is a plus.
• Collaboration and Cross-Functional Skills: Ability to work effectively with diverse teams, product, operations, marketing, and finance, to gather data and align strategies.
• Communications: Excellent communication skills to explain complex technical findings to non-technical stakeholders and present actionable insights.