Tianjin U-Like Intl is hiring: Business Data Analyst in New Bremen

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 BI 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, SQL) and data visualization tools (e.g., Power BI, 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 BI. Knowledge of Python for data analysis. Understanding and experience with database management. Experience with customer behavior analysis is a plus. #J-18808-Ljbffr