Job Description:
We are seeking a skilled Data Analyst/Data Scientist to join our team, focused on tracking and analyzing global market prices of devices. You will be responsible for monitoring prices from suppliers and competitors, identifying market trends, and providing actionable insights to support pricing strategies and business decisions. The ideal candidate will have a strong analytical background, experience with data management, and the ability to communicate data-driven insights to stakeholders.
Key Responsibilities:
Data Collection & Analysis : Gather and analyze pricing data from suppliers, competitors, and global markets to monitor trends and competitive positioning.
Market Research : Conduct research to understand global market dynamics, supply chain changes, and demand fluctuations in the devices industry.
Price Forecasting : Use data models and algorithms to predict pricing trends and recommend optimal pricing strategies.
Competitive Intelligence : Analyze competitors' pricing strategies and identify opportunities to differentiate and optimize market positioning.
Data Visualization : Create dashboards and reports that clearly communicate key pricing insights and recommendations.
Collaboration : Work closely with product, sales, and marketing teams to align pricing strategies with overall business objectives.
Automation & Optimization : Develop or implement tools that automate data collection and analysis processes, increasing efficiency in tracking price changes in real-time.
Scenario Analysis : Provide insights into different pricing strategies under various market conditions (e.g., price sensitivity analysis, elasticity of demand).
Required Skills & Qualifications:
Educational Background : Bachelor's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field. A master's degree is preferred for data scientists.
Technical Skills :
Data Analysis Tools : Proficiency in tools like Excel, SQL, R, or Python for data manipulation and analysis.
Statistical Analysis : Strong understanding of statistical methods, regression analysis, and data modeling.
Machine Learning (for Data Scientist role) : Experience with machine learning algorithms (regression, classification, clustering) for predictive pricing models.
Data Visualization : Experience with tools like Tableau, Power BI, or Google Data Studio for building reports and dashboards.
Web Scraping : Knowledge of web scraping techniques (e.g., using Python libraries like BeautifulSoup, Scrapy) to gather competitor pricing data from online sources.
Cloud Services : Familiarity with cloud-based data services (AWS, Google Cloud, Azure) for managing large datasets and running analytics.
APIs : Experience with API integration to extract pricing data from supplier or competitive databases in real-time.
Soft Skills :
Problem-Solving : Strong analytical and problem-solving skills with attention to detail.
Communication : Ability to present complex data in a clear, concise manner to non-technical stakeholders.
Collaboration : Experience working cross-functionally with marketing, sales, and supply chain teams.
Adaptability : Ability to work in a fast-paced environment with shifting priorities and tight deadlines.
Preferred Experience:
Experience in data analysis, data science, or a similar role focused on pricing strategies, ideally in the devices or electronics industry.
Experience with global markets and international pricing is a plus.
Software & Tools:
Data Analytics : SQL, Excel, Python, R, Google Sheets
Visualization Tools : Tableau, Power BI, Google Data Studio
Web Scraping : Python (BeautifulSoup, Scrapy)
Machine Learning Libraries : Scikit-learn, TensorFlow (for Data Scientist)
Database Management : MySQL, PostgreSQL
Cloud Services : AWS (S3, Redshift), Google Cloud, Azure
APIs : RESTful APIs for price data extraction
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