Description:

We are seeking a detail-oriented and analytical Data Analyst to join our remote team.
The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to provide insights that drive business decisions.
This role requires strong problem-solving skills, proficiency in data visualization tools, and the ability to communicate findings effectively to stakeholders.
Key responsibilities include collecting, cleaning, and analyzing large datasets from multiple sources.
The Data Analyst will develop and maintain dashboards and reports to provide actionable insights.
They will identify trends, patterns, and anomalies in data to support business strategy.
The role involves working with cross-functional teams to understand data needs and provide solutions.
The Data Analyst will perform statistical analysis and create predictive models to enhance decision-making.
Ensuring data accuracy and integrity by implementing best practices in data management is essential.
The candidate will use SQL to extract and manipulate data from databases.
Presenting findings to stakeholders in a clear and concise manner using visualizations is a key responsibility.
The Data Analyst will support automation of data processing and reporting.
Staying updated with industry trends and emerging data technologies is important.

Requirements:

A Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field is required.
The candidate must have 2+ years of experience in data analysis or a similar role.
Proficiency in SQL, Python, or R for data manipulation and analysis is necessary.
Experience with data visualization tools such as Tableau, Power BI, or Looker is required.
A strong understanding of statistical analysis and predictive modeling is essential.
The candidate should have experience working with large datasets and data warehouses.
Preferred qualifications include experience in cloud platforms like AWS, Google Cloud, or Azure.
Knowledge of machine learning techniques and algorithms is a plus.
Familiarity with ETL processes and data pipeline management is preferred.

This position offers a full-time remote work opportunity.
The role provides the chance to work with large datasets and contribute to impactful business decisions.
Employees will have the opportunity to stay updated with industry trends and emerging data technologies.
The position allows for collaboration with cross-functional teams, enhancing teamwork and communication skills.
There may be opportunities for professional development and growth within the company.