We are seeking a highly skilled Senior Data Analyst to join our team on a contract basis, with the potential for a permanent role based on performance and business needs. The Senior Data Analyst will be responsible for analyzing complex datasets, uncovering insights, and providing data-driven recommendations that support key business initiatives. Working closely with cross-functional teams, the ideal candidate will possess strong analytical expertise, problem-solving skills, and the ability to communicate data insights effectively to both technical and non-technical stakeholders
Key Responsibilities:
- Analyze large datasets to extract meaningful insights and trends that inform business decisions.
- Design, develop, and optimize SQL queries for data extraction, transformation, and reporting.
- Work with data warehouse architectures in high-volume, high-transaction, and low-latency environments.
- Collaborate with cross-functional teams, including Product, Engineering, and Business Intelligence, to identify and address analytical needs.
- Develop reports and dashboards using data visualization tools such as Tableau, Looker, Power BI, or similar platforms.
- Translate complex data findings into clear, actionable insights for stakeholders.
- Ensure data accuracy and consistency across various business reports and analytics.
- Utilize statistical methods and predictive modeling techniques to drive decision-making and business growth.
- Support data governance, quality, and integrity initiatives.
Qualifications and Skills:
- 5+ years of experience in data analysis, preferably in the e-commerce industry.
- Strong proficiency in SQL and experience with data warehouse architectures in high-volume, high-transaction, and low-latency environments.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Experience using Python for data science, data engineering, and/or analytics applications.
- Hands-on experience with data visualization tools such as Tableau, Hex, Looker, Power BI, or similar platforms.
- Familiarity with statistical modeling, machine learning, or predictive analytics.
- Strong problem-solving skills and attention to detail.
- Ability to work independently in a fast-paced, remote environment.
System requirements:
- Computer Processor: At least i3 or i5, 6th generation for both primary computers
- Computer Memory/RAM: At least 8.00 GB for both primary and back up computers
- Computer OS: Windows 10
- Must have MS Office license
- Extra monitor
- Internet speed must be running on a 20+ Mbps wired plan (at least 10 Mbps for back up connection)
We are seeking a highly skilled Senior Data Analyst to join our team on a contract basis, with the potential for a permanent role based on performance and business needs. The Senior Data Analyst will be responsible for analyzing complex datasets, uncovering insights, and providing data-driven recommendations that support key business initiatives. Working closely with cross-functional teams, the ideal candidate will possess strong analytical expertise, problem-solving skills, and the ability to communicate data insights effectively to both technical and non-technical stakeholders
Key Responsibilities:
- Analyze large datasets to extract meaningful insights and trends that inform business decisions.
- Design, develop, and optimize SQL queries for data extraction, transformation, and reporting.
- Work with data warehouse architectures in high-volume, high-transaction, and low-latency environments.
- Collaborate with cross-functional teams, including Product, Engineering, and Business Intelligence, to identify and address analytical needs.
- Develop reports and dashboards using data visualization tools such as Tableau, Looker, Power BI, or similar platforms.
- Translate complex data findings into clear, actionable insights for stakeholders.
- Ensure data accuracy and consistency across various business reports and analytics.
- Utilize statistical methods and predictive modeling techniques to drive decision-making and business growth.
- Support data governance, quality, and integrity initiatives.
Qualifications and Skills:
- 5+ years of experience in data analysis, preferably in the e-commerce industry.
- Strong proficiency in SQL and experience with data warehouse architectures in high-volume, high-transaction, and low-latency environments.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Experience using Python for data science, data engineering, and/or analytics applications.
- Hands-on experience with data visualization tools such as Tableau, Hex, Looker, Power BI, or similar platforms.
- Familiarity with statistical modeling, machine learning, or predictive analytics.
- Strong problem-solving skills and attention to detail.
- Ability to work independently in a fast-paced, remote environment.
System requirements:
- Computer Processor: At least i3 or i5, 6th generation for both primary computers
- Computer Memory/RAM: At least 8.00 GB for both primary and back up computers
- Computer OS: Windows 10
- Must have MS Office license
- Extra monitor
- Internet speed must be running on a 20+ Mbps wired plan (at least 10 Mbps for back up connection)