Senior Data Analyst
✨ AI Summary
We are on the lookout for a Senior Data Analyst who is eager to collaborate with our clients in defining their business and data strategies. The ideal candidate is analytical and enthusiastic about leveraging quantitative methods to tackle business challenges through various techniques such as data mining, predictive modeling, applied statistics, and business forecasting.
Main Responsibilities:
- Realign client expectations during challenges, including scope changes or delays.
- Conduct independent research to gather necessary knowledge for task completion, knowing when to seek assistance.
- Identify potential technical solutions that address internal or client-specific needs.
- Assist peers and new team members in understanding and applying best practices.
- Manage multiple priorities and provide updates on project status.
- Engage in the technical design of systems, schemas, or data pipelines while offering solid guidance.
Qualifications:
- Minimum of 3 years of applied analytics experience in sales, finance, marketing, product, or engineering.
- At least 3 years of experience in assessing client data portfolios and tools.
- Over 2 years of data management and consulting experience.
- Familiarity with cloud platforms (AWS, GCP, Azure) for deploying analytics solutions.
- Strong SQL skills; experience with NoSQL is a plus.
- Proficiency in one or more programming languages for data analysis, such as Python, R, Matlab, or SPSS.
- Experience in designing and implementing innovative data solutions for clients.
- Ability to manage a comprehensive data ecosystem, including ETL, data governance, and insights delivery.
