Data Analyst

at  Taeillo Furniture

• In this role, you will be responsible for collecting, processing, and analyzing data to help drive informed decisions across various departments.
• Your insights will play a critical role in shaping our strategy, improving customer experiences, and enhancing operational efficiency.

QUALIFICATIONS

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Economics, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.
• Proficiency in data analysis tools such as SQL, Python, R, or Excel.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong analytical skills with the ability to interpret complex data sets.
• Strong communication skills, with the ability to present data insights clearly to various stakeholders.

Preferred Qualifications:

• Experience in the furniture, retail, or e-commerce industry.
• Knowledge of statistical analysis and modeling techniques.
• Familiarity with customer segmentation and predictive analytics.

Data Collection & Management:

• Gather and process data from various internal and external sources.
• Maintain and update data sets to ensure accuracy and completeness.
• Collaborate with different departments to identify data needs and ensure the collection of relevant data points.

Data Analysis:

• Analyze large datasets to identify trends, patterns, and insights that can influence business decisions.
• Conduct exploratory data analysis to uncover hidden insights.
• Use statistical methods to interpret data and generate actionable recommendations.

Reporting & Visualization:

• Create and present comprehensive reports and visualizations that communicate data findings to stakeholders.
• Develop and maintain dashboards that provide real-time insights into key performance indicators (KPIs).
• Translate complex data into understandable and actionable insights for non-technical stakeholders.

Data-driven Decision Making:

• Work closely with marketing, sales, and product teams to provide data-driven recommendations.
• Support the development and optimization of business strategies by providing data-backed insights.
• Monitor and evaluate the performance of campaigns, products, and operational processes using data.