ob Summary: The Data Analyst in the 5G Connectivity Business Marketing department will play a crucial role in interpreting market data and translate it into actionable insights to drive our business strategies forward. This position involves analyzing customer behavior, market veticals trends, M2M market analysis, revenue performance, and market trends in new technologies to help shape our product marketing efforts and increase our company's profitability. The ideal candidate will be adept at using data visualization tools, statistical analysis, and data management technologies.
Key Responsibilities:
1. Collect and analyze data from various sources to identify trends and insights that support marketing decisions.
2. Develop and maintain dashboards and reports that provide critical marketing metrics to stakeholders.
3. Work closely with the all product marketing team to design and evaluate the effectiveness of market approach.
4. Assist in the preparation of marketing forecasts and models to predict future marketing trends.
5. Perform ad-hoc analysis as needed to address specific business questions and present findings to management.
6. Ensure data accuracy and integrity by developing proper checks and balances within the data collection and analysis processes.
7. Collaborate with IT and Data Science teams to enhance data collection and analysis tools.
Qualifications:
Education: Bachelor's degree in Statistics, Economics, Computer Science, or a related field.
Experience: 2+ years of experience in data analysis or business analytics, preferably within a marketing or sales environment.
Skills: Proficiency in SQL, Excel, Power Point, and data visualization tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills.
Abilities: Ability to translate complex datasets into understandable and actionable insights. Strong attention to detail and accuracy.
Additional Notes: This position requires someone who is proactive, eager to learn, and capable of working both independently and collaboratively in a fast-paced environment.
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