Negotiable
Outside
Remote
USA
Summary: The Data Analyst role involves managing multiple projects and meeting deadlines in a fast-paced environment while utilizing various data visualization tools. Candidates should have a strong background in quantitative research and data analysis, with experience in SQL and statistical analysis. Effective communication skills for presenting findings to non-technical stakeholders are essential. The position is remote and classified as outside IR35.
Key Responsibilities:
- Manage multiple projects and meet deadlines in a fast-paced environment.
- Utilize Tableau, PowerBi, Alteryx, Hive, and other data visualization tools.
- Extract and manipulate data using SQL.
- Conduct quantitative research, statistics, and data analysis.
- Perform statistical analysis and work with relational databases and object-oriented programming languages.
- Communicate and present findings to non-technical stakeholders.
- Engage in marketing analytics or social media measurement.
Key Skills:
- Experience with Tableau, PowerBi, Alteryx, Hive, and other data visualization tools.
- 2+ years of experience with SQL for data extraction and manipulation.
- Bachelor's Degree in a technical or research-oriented field.
- 4+ years of work experience in quantitative research, statistics, or data analysis.
- Experience with statistical analysis and relational databases.
- Proficiency in object-oriented programming languages.
- Strong communication skills for presenting findings to non-technical stakeholders.
- Experience in marketing analytics or social media measurement.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience with Tableau, PowerBi, Alteryx, Hive and other data visualization and customization tools.
2+ years of experience with SQL for data extraction and manipulation.
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields (with focus on data - e.g. data journalism).
4+ years of work experience in quantitative research, statistics, or data analysis.
Experience with statistical analysis, relational databases, and/or object-oriented programing languages.
Experience with communicating and presenting findings to non-technical stakeholders.
Experience in marketing analytics or social media measurement.