Job Description

About SalaryBox :SalaryBox is a solution that makes employee management effortless.Our product offers a range of features, from time and attendance tracking to employee payments, and much more. We help small businesses manage their payroll by eliminating the hassle of manual, paper-based processes with our service, you\'ll always know what you owe employees when payments are due, and who's been paid.With our automated system, you can have your payroll processed in seconds, right from the palm of your hands. Our customers enjoy peace of mind knowing their company is following all regulations.Founded in 2020, we have raised capital from top-tier investors including Y Combinator, DoorDash Inc.s Gokul Rajaram, former Tinder and Spotify executive Sriram Krishnan and former Facebook executive Anand Chandraskeran.Our values are rooted in Customer Empathy & a relentless obsession with Product Innovation. Our passion to build an extremely useful and usable product has helped us grow significantly within a small span of time.Get on board with our platform today to see how it can help you and your company grow! Available on both Android and iOS.Website :LinkedIn :Job Location - GurgaonJob descriptionWe are seeking a motivated Data Analyst to join our data-driven team. You will play a vital role in extracting meaningful insights from our data, helping to shape strategic decisions and inform business actions. Your expertise in Spreadsheet and data analysis will be essential as you explore, organize, and present data to drive informed decision-making across the organization.Responsibilities

• Gather, cleanse, and organize data from multiple sources, including databases, spreadsheets, and external systems.

• Utilize your Excel skills to analyze data sets and identify patterns, trends, and anomalies.

• Design and develop insightful reports, dashboards, and visualizations.

• Collaborate with cross-functional teams to understand their data needs and deliver actionable recommendations.

• Support data integration and migration projects, ensuring data integrity and consistency.

• Proactively identify opportunities for data-driven improvements and optimization.

• Bachelors degree in a quantitative field (e.g., Statistics, Mathematics, Economics) or relevant experience.
• 2-4 years of experience in data analysis or a related field.

• Expert-level proficiency in Spreadsheets, including advanced functions, pivot tables, and data manipulation techniques.

• Expertise in Python and SQL.

• Familiarity with Power BI or other data visualization tools.

• Understanding of data integration and migration principles.

• Strong analytical and problem-solving skills.

• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.

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