Data Analyst

About the job

About the Role : We’re looking for a data enthusiast who loves connecting dots — not just within datasets, but between ideas, tools, and people. This role is a blend of data analyst precision and data engineer problem-solving, perfect for someone who enjoys rolling up their sleeves, experimenting creatively, and finding elegant ways to make things work. If you’re the kind of person who says “let ...  me try a different angle” instead of “this can’t be done,” you’ll fit right in. What you'll Do : • Gather, clean, and model data from multiple sources to enable analysis and reporting. • Build and maintain simple yet scalable data pipelines and transformations. • Develop dashboards, reports, and metrics that actually tell stories, not just show numbers. • Collaborate with business and technical teams to understand data needs and design creative solutions. • Automate recurring processes and simplify data workflows wherever possible. • Continuously explore better ways to represent, store, and use data efficiently. What We're Looking For : • Bachelor’s degree in Engineering, Computer Science, Statistics, or related field (or equivalent self-taught skill). • 0–2 years of experience working with data (internships, projects, or personal work count). • Basic comfort with SQL, Python, and at least one data visualization tool (Power BI, Tableau, or similar). • Understanding of ETL concepts, data modeling, and cloud / data warehouse tools is a plus. • A mindset that’s equal parts analytical, creative, and resourceful — someone who figures things out. • Good communication and curiosity — you ask “why” before “how.” What you'll Love Here : • A culture that values initiative over instruction. • The freedom to experiment with ideas — and the expectation to back them with data. • Opportunities to work across the full data lifecycle — from engineering to insights. • A small, dynamic team that appreciates both logic and imagination. Bonus Points For : • Experience with APIs, cloud data tools (Azure, AWS, or GCP), or basic scripting for automation. • An eye for design or storytelling in data presentation. • GitHub projects, hackathon participation, or personal analytics experiments.

Requirements

• SQL
• Python
• Data visualization tools
• ETL concepts
• Data modeling
• Cloud tools

Qualifications

• Bachelor’s degree in Engineering
• Computer Science
• Statistics
• Related field

Preferred Technologies

• SQL
• Python
• Data visualization tools
• ETL concepts
• Data modeling
• Cloud tools