The Data Analyst will be responsible for collecting, cleaning, organizing, and analyzing data from multiple sources to generate business insights, build dashboards and reports, automate workflows, and support client-facing coordination while working closely with cross-functional teams.

1–2 years

Competitive

• Collect, clean, sort, and organize datasets from multiple sources • Perform data manipulation, validation, and exploratory analysis to support business insights • Build and maintain dashboards and reports using Power BI, Excel, and Google Sheets • Automate repetitive workflows using Google Apps Script and Excel-based formulas • Assist in data mining and basic predictive analysis using Python • Collaborate with internal teams to understand data requirements and deliver accurate outputs • Coordinate with clients to gather information, clarify requirements, and present findings • Ensure data accuracy, consistency, and quality across all reports and deliverables • Support team members in ongoing projects and contribute to process improvement initiatives

• 1–2 years of experience in data analysis, cleaning, manipulation, and reporting • Strong knowledge of Excel including advanced formulas, lookup functions, pivot tables, and data cleaning • Proficiency in Google Sheets and experience with Google Apps Script automation • Hands-on experience with Power BI including data modeling, DAX, and report building • Basic working knowledge of Python for data analysis or data mining, preferably using Pandas • Strong analytical thinking and problem-solving skills • Good communication skills with experience in client coordination • Ability to work effectively in a team-based environment • Attention to detail and a passion for accuracy • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field

Ms Excel, Power Bi, Google Sheets, Appscript, Google Sheet

In-Office