Filled Positions

As an Analytics Engineer, you will be responsible for analyzing and interpreting complex data sets to uncover valuable insights and support data-driven decision-making. Join our remote team and leverage your expertise in data analysis, visualization, and programming to contribute to the success of our company. Collaborate with cross-functional teams and play a crucial role in our data-driven projects. 

What you'll be doing 

• Collecting, cleaning, and transforming large datasets for analysis 
• Designing and implementing data models, databases, and data pipelines 
• Developing and maintaining data visualization dashboards and reports 
• Performing statistical analysis and applying data mining techniques 
• Collaborating with stakeholders to understand business requirements 
• Conducting data investigations and troubleshooting data-related issues 
• Developing and optimizing data analytics processes and workflows 
• Presenting findings and insights to technical and non-technical audiences 
• Staying up to date with industry trends and best practices in data analytics 

Requirements 

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field 
• 4 years of experience as an Analytics Engineer or similar role 
• Pretend you are a writer and rephrase the paragraph below not to exceed 300 character  
• Proficiency in data analysis tools and programming languages (e.g., Python, R) 
• Experience with data visualization tools (e.g., Tableau, Power BI) 
• Strong SQL skills and familiarity with relational databases 
• Knowledge of statistical analysis techniques and data mining methods 
• Ability to work with large datasets and perform data manipulation 
• Excellent problem-solving and critical-thinking skills 
• Effective presentation abilities

Preferred candidates are highly skilled and motivated Analytics Engineers with a strong background in data analysis, visualization, and programming. Preferred candidates have experience in interpreting complex data sets, generating actionable insights, and presenting findings to stakeholders. They possess a solid understanding of statistical analysis and data mining techniques. Preferred candidates are self-driven, detail-oriented, and excel in a remote work environment. Join our team and contribute to our data-driven initiatives. Candidates must be amenable to work during US business hours. 

We offer a full-time, US-hours remote job, 40-hour workweek Mon-Fri, with excellent prospects for long-term growth for an ambitious experienced Analytics Engineer - Remote. We can offer HMO and other benefits to Philippine candidates.