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Business Data Analyst


Are you a data enthusiast or an aspiring analyst with a keen eye for insights and a drive to understand market trends? If you’re ready to kickstart your career in data analysis and make a meaningful impact, join us at U-LIKE Furniture as a Business Data Analyst. Be part of a forward-thinking team dedicated to using data to fuel innovation and shape the future of the furniture industry.

Job Brief

We are seeking a skilled and motivated Business Data Analyst to join our team. The ideal candidate will play a key role in analyzing market trends, customer behaviors, and operational data to help drive informed decisions. You will work closely with cross-functional teams, such as Marketing, Sales, and Product Development, to interpret data, provide actionable insights, and support U-LIKE Furniture’s growth objectives in existing and emerging markets.

Why Join Us?

● Be part of a fast-growing, innovative company with a global presence.

● Contribute to strategic growth initiatives in a supportive, collaborative environment.

● Opportunity to work on impactful projects that shape the future of furniture manufacturing and design.

● Competitive salary, benefits, and opportunities for professional development.

Primary Responsibilities:

● Data Analysis & Reporting: Collect, clean, and analyze data from various sources to generate actionable insights. Provide regular reports on key performance indicators (KPIs), such as customer acquisition, sales trends, and product performance.

● Market Research: Conduct data-driven research to identify new market opportunities, analyze competitors, and understand customer preferences. Support expansion strategies by analyzing market demand and client feedback.

● Performance Monitoring: Develop and track KPIs to measure the effectiveness of marketing campaigns, product launches, and sales efforts. Provide insights to optimize performance and improve ROI.

● Sales & Customer Insights: Analyze sales data to understand customer purchasing behavior, product preferences, and regional demand patterns. Work with the sales team to identify potential upselling and cross-selling opportunities.

● Data Visualization & Presentation: Create and maintain dashboards, reports, and visualizations using tools like Power Bl or Tableau to communicate findings clearly to stakeholders.

● Collaboration with Teams: Work closely with the Marketing, Product Development, and Sales teams to gather data requirements, support business objectives, and ensure data is used effectively across the organization.

● Predictive Analysis: Utilize statistical and predictive models to forecast trends, product demands, and sales projections that can aid in decision-making.

● Data Integrity & Compliance: Ensure data quality, accuracy, and consistency by performing regular data validation. Adhere to data protection and privacy regulations.

Key Requirements:

● Proficiency in data analysis tools (e.g., Excel, SOL) and data visualization tools (e.g., Power Bl, Tableau).

● Bachelor's degree in Business, Data Science, Statistics, Computer Science, or a related field.

● Familiarity with CRM and ERP systems (experience with furniture or manufacturing industry data systems is a plus).

● Proven experience (2+ years) as a Data Analyst, Business Analyst, or similar role, preferably within the business sector.

● Strong understanding of statistical methods and familiarity with predictive modeling.

● Excellent analytical and problem-solving skills, with a high level of attention to detail.

● Ability to translate complex data into actionable insights and recommendations.

● Experience working with large data sets and proficiency in data extraction, cleaning, and transformation.

● Strong communication and presentation skills, with the ability to explain insights to non-technical stakeholders.


Preferred Skills:

● Ability to Read, Write and Communicate in English.

● Extensive knowledge of Microsoft Power Bl.

● Knowledge of Python for data analysis.

● Understanding and experience with database management.

● Experience with customer behavior analysis is a plus.


If you're interested, please send us your Resume at [email protected]