Entry-Level Data Analyst

Job not on LinkedIn

🕒 March 31

🌪️ Oklahoma – Remote

🌪️ Oklahoma – Remote

💵 $70k - $80k / year

⏰ Full Time

⚪️ Entry-level

⬇️ Data Entry

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MongoDB

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

MongoDB is a company that builds and maintains MongoDB, a document-oriented NoSQL database and an AI-ready data platform. Its flagship offering, MongoDB Atlas, is a fully managed, multi-cloud database and data services platform that combines operational databases, vector search, stream processing, and analytics to support transactional, search, analytical, graph, and geospatial use cases. MongoDB also provides self-managed editions (Community Edition and Enterprise Advanced), developer tools (Compass, CLI, integrations), migration tools, training and certification, and an ecosystem for building AI-native and modern applications across industries.

📋 Description

• Collect, clean, and organize data from internal and external sources. • Assist in data reporting and dashboard creation using tools like Excel, Google Sheets, or business intelligence platforms. • Analyze data trends, patterns, and outliers to help inform decision-making. • Support the creation of data visualizations and reports for internal stakeholders. • Collaborate with team members to understand business requirements and translate them into actionable insights. • Perform basic statistical analysis to identify insights and make recommendations for process improvements. • Maintain accurate documentation of analysis processes and methodologies.

🎯 Requirements

• Bachelor's degree (or in progress) in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field. • Basic understanding of data analysis concepts and tools (Excel, Google Sheets, SQL, etc.). • Familiarity with data visualization tools (e.g., Power BI, Tableau, Google Data Studio) is a plus. • Strong analytical skills with attention to detail. • Ability to communicate complex data insights clearly and concisely. • Self-motivated with the ability to manage time effectively and work independently. • Strong problem-solving abilities and a passion for continuous learning.

🏖️ Benefits

• Flexible Hours: Work when it's convenient for you, whether you prefer a traditional 9-5 schedule or a more flexible arrangement. • Remote Work: Enjoy the freedom of working from anywhere. • Part-Time and Full-Time Options: Choose the schedule that best fits your lifestyle and availability. • Professional Growth: Access to learning resources and mentorship to help you grow in the field of data analysis. • Collaborative Environment: Work with a team of passionate professionals dedicated to fostering your growth and success.