Innovuze Solutions, Inc. is collaborating with a growing tech startup that is building digital products based on deep learning, cutting-edge design practices, and emerging technologies. We're expanding and looking for a Data Analyst to join our awesome team in creating innovative digital products.
Requirements and Qualifications:
- Adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods
- Familiar with a variety of tools, building and implementing models
- Using/creating algorithms and creating/running simulations
- Have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes
- Collection, processing, and analysis of large data in building models for valuable business insights and solutions
Advantage if with the following:
- Skillful in the Presentation data into useful information(reports) using various data visualization techniques
- Experienced in Processing/Cleaning/Massaging Data and Analysis
- Experience with Google Analytics (under Qualifications)
- Experience to Domo Analytics a plus (also under Qualifications)
- Critical thinking skills in the use of Data Modeling and Statistics to solve business requirements and Problems
- Good communication skills in delivering output to stakeholders as well as in task coordination
- Experienced coding skills with proficiency in SQL, Python or R
- Optional: Passion for Machine Learning and research
- Good mathematical skills including statistics
- Strong fundamentals in software engineering
- On a Career path to become a Data Scientist
- Preferably someone who can join our team at our office at Cagayan de Oro City, but we may consider remote workers for this position
Hired applicants will join our awesome team at our office at SM Downtown Tower, Cagayan de Oro City, conveniently located at the heart of the city, along premier malls, convenience stores, and leisure areas.
If interested and qualified, send your resume to firstname.lastname@example.org or simply click the 'Apply For This Job' button below. Filename of the attached resume should be "Resume - Data Analyst - [ your full name ]".
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