WSP Global
Senior Data Analyst - Remote
- Compensation
- TOP 40–TOP 45 / hr
- Location
- Remote, Boston, United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Proven experience as a Data Analyst or similar role.
- Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
- Solid understanding of statistical analysis techniques and methodologies.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex data insights in a clear and concise manner.
Nice to have
- Experience with data visualisation tools like Tableau or Power BI.
- Familiarity with cloud-based data storage solutions.
- Knowledge of machine learning concepts.
Full description
Overview
Join a forward-thinking team where you will play a key role in analysing complex data sets to drive strategic decision-making. This position is ideal for an experienced professional who thrives in a collaborative and innovative environment.
Key Responsibilities
- Collect, process, and analyse large datasets to extract meaningful insights.
- Develop and maintain dashboards and reports to communicate findings to stakeholders.
- Collaborate with cross-functional teams to identify data-driven opportunities and solutions.
- Utilise statistical methods to validate data and ensure accuracy.
- Prepare and present findings to senior management and other stakeholders.
Requirements
- Proven experience as a Data Analyst or similar role.
- Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
- Solid understanding of statistical analysis techniques and methodologies.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex data insights in a clear and concise manner.
Nice to have
- Experience with data visualisation tools like Tableau or Power BI.
- Familiarity with cloud-based data storage solutions.
- Knowledge of machine learning concepts.