Remote Junior Data Analyst

Placements24; Queenstown (MD); Hybrid; USD 55,000 - 75,000; Full time

Benefits offered by this job

Fully remote

Mentorship

Career development

Competitive salary

Job summary

Placements24 is seeking a Remote Junior Data Analyst for our client, a forward-thinking analytics consultancy. You will work from home on diverse projects, collaborating with data scientists and business analysts to interpret data, generate reports, and support data-driven decisions.

You will manipulate data, perform statistical analyses, and create dashboards using SQL, Excel, Python/R, Tableau or Power BI.

Qualifications

• Degree in a quantitative field or equivalent practical experience.
• Foundational knowledge of statistics and data analysis techniques.
• Strong written and verbal communication for remote collaboration.

Responsibilities

• Collect, clean, and preprocess data from multiple sources.
• Perform statistical analyses to identify trends and correlations.
• Develop dashboards and reports using Tableau or Power BI.
• Interpret findings and present them to stakeholders clearly.

Skills

Analytical mindset

Problem solving

Communication

Independent worker

Education

Bachelor's degree in Statistics, Mathematics, Economics, CS

Tools

SQL

Excel

Python/R

Tableau

Power BI

Job description

About the Role

Our client, a forward-thinking analytics consultancy dedicated to extracting actionable insights from complex data sets, is seeking a **Remote Junior Data Analyst** to join their expanding virtual team. This position offers an unparalleled opportunity for individuals with a strong analytical mindset and a passion for data to build a career entirely from home. You will work on challenging projects, collaborating with experienced data scientists and business analysts to interpret data, generate reports, and support data-driven decision-making for a diverse client base. The role requires proficiency in data manipulation, statistical analysis, and visualization tools. You will thrive in a dynamic, remote-first environment that fosters continuous learning and professional development. Our client values innovation, accuracy, and clear communication, essential skills for success in this fully remote role, originating from their strategic base near **Queenstown, Eastern Cape**.

Key Responsibilities

• Collect, clean, and preprocess data from various sources.
• Perform statistical analysis to identify trends, patterns, and correlations.
• Develop and generate insightful reports and dashboards using visualization tools (e.g., Tableau, Power BI).
• Assist in interpreting data findings and presenting them to stakeholders in a clear and concise manner.
• Collaborate with senior analysts and clients to understand data requirements and project goals.
• Support the development of data models and predictive analytics as needed.
• Maintain data integrity and ensure compliance with data governance policies.
• Continuously learn and explore new data analysis techniques and technologies.

Requirements

• Strong quantitative and analytical skills, with a foundational understanding of statistics.
• Proficiency in data analysis tools and languages such as SQL, Excel, and Python/R.
• Experience with data visualization tools is a plus.
• Excellent problem-solving abilities and attention to detail.
• Strong written and verbal communication skills for effective remote collaboration.
• Ability to work independently, manage multiple tasks, and meet deadlines.
• A degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent practical experience.
• Must have a reliable internet connection and a suitable remote work environment.

Benefits

• Fully remote position offering significant flexibility and work-life balance.
• Exposure to a wide array of industries and data challenges.
• Mentorship from experienced data science and analytics professionals.
• Opportunities for professional development and advanced training in data analytics.
• Competitive remote salary and comprehensive benefits.
• Be part of an innovative company at the forefront of data analytics.
• Contribute to impactful data-driven projects.