Position Overview:
We are seeking a highly skilled and motivated Technical Data Analyst to join our team. The ideal candidate will have deep expertise in quantitative data analysis and a strong technical background. This role requires exceptional problem-solving skills, creativity, and the ability to perform detailed end-to-end analysis. You will be working with a variety of data systems and tools, and your work will directly impact our decision-making processes.
Key Responsibilities:
- Perform quantitative data analysis to inform business decisions and strategy.
- Utilize advanced SQL skills to query data, perform segmentation, and aggregate data from a data warehouse.
- Work with various data processing tools and systems such as relational databases, NoSQL databases, and stream processing tools.
- Utilize data modeling skills to structure complex data sets.
- Employ analytical tools like Python, R, or PyCharm for detailed data analysis and modeling.
- Work with AWS tools such as Redshift, Athena, and understand core AWS concepts.
- Ensure data accuracy and perform data quality checks.
- Present complex technical information in a clear and concise manner to both technical and non-technical stakeholders.
- Collaborate with cross-functional teams to understand their data needs and provide analytical solutions.
- Continuously seek to improve data processes and tools.
Mandatory Requirements:
- 5+ years of work experience involving quantitative data analysis is preferred.
- Technical undergraduate degree in Engineering, Computer Science, Statistics, Analytics, or equivalent experience.
- Advanced SQL skills to query and manipulate data.
- Proficiency in data processing tools/systems (relational, NoSQL, stream processing).
- Familiarity with AWS tools such as Redshift, Athena, and core AWS concepts.
- Knowledge in data modeling techniques.
- Experience with analytical and data modeling tools (Python, R, PyCharm).
- Excellent written and verbal communication skills.
- Strong organizational, time management, and task prioritization skills with attention to detail.
- High level of professionalism, passion, and bias towards action.
- Strong critical-thinking skills and creativity.
- Inquisitive, curious, and a continuous learner.
Preferred Qualifications:
- Experience with instrumentation, clickstream data, data architecture, and complex business systems interactions (such as Salesforce, Amazon Connect, EWFM).
Job Type: Full-time
Pay: Up to $80.00 per hour
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Experience level:
Schedule:
- 8 hour shift
- Monday to Friday
Application Question(s):
- Do you have a technical undergraduate degree in Engineering, Computer Science, Statistics, Analytics, or equivalent experience?
- Which data processing tools and systems (relational databases, NoSQL databases, stream processing tools) have you worked with? Please provide specific examples.
- Describe your experience with AWS tools such as Redshift and Athena. How have you applied core AWS concepts in your work?
- Could you describe your experience with data modeling techniques and any relevant projects you have worked on?
- What is your level of proficiency with analytical and data modeling tools like Python, R, or PyCharm? Please provide examples of how you have used these tools in past projects.
- Do you have experience with instrumentation, clickstream data, data architecture, and complex business systems interactions such as Salesforce, Amazon Connect, or EWFM? If yes, please provide details.
- How many years of experience do you have in quantitative data analysis?
- Kindly share your LinkedIn profile link below. (Mandatory requirement)
Work Location: Remote