Data Analyst

Job Description

About MAKO Founded in 2013, Mako IT Lab is a global software development company with a strong presence across the USA, UK, India, and Nepal. Over the years, we?ve partnered with companies globally helping them solve complex challenges and build meaningful digital experiences. What truly defines Mako is our culture . We believe in creating an environment where people feel empowered to take ownership, exercise freedom in their ideas, and contribute to solutions that genuinely make an impact. Learning is at the heart of who we are?our teams constantly grow through hands-on exposure, real-world problem solving, and continuous knowledge sharing across functions and geographies. We don?t just build long-term partnerships with clients?we build long-term careers for our people. At Mako, you?ll be part of a collaborative, supportive, and fast-growing global team where curiosity is encouraged, initiative is celebrated, and every individual plays a meaningful role in shaping the company?s journey. Job Summary We are looking for a motivated and detail-oriented Data Engineer (Fresher) who is passionate about data handling and analytics. The ideal candidate should have strong knowledge of MS Excel , basic Python programming , and a good understanding of data structures and data processing concepts . This role involves working with large datasets, cleaning, processing, and supporting business teams with data insights. Key Responsibilities Work with large datasets and perform data cleaning and validation. Use MS Excel (VLOOKUP, HLOOKUP, XLOOKUP, Pivot Tables) for data analysis. Write basic Python scripts for data processing and automation. Assist in preparing reports and dashboards. Support data extraction, transformation, and loading (ETL) processes. Maintain data accuracy and consistency across systems. Required Skills Strong proficiency in MS Excel (VLOOKUP, HLOOKUP, XLOOKUP, Pivot Tables, Conditional Formatting). Basic knowledge of Python for data manipulation. Understanding of data handling and data cleaning techniques. Basic knowledge of SQL (preferred but not mandatory). Good analytical and problem-solving skills. Good communication skills. Educational Qualifications Bachelor?s Degree in Computer Science, IT, Data Science, or related field (or final-year students can apply). Good To Have Familiarity with libraries like Pandas and NumPy . Basic understanding of data visualization tools like Power BI or Tableau. Knowledge of Google Sheets.