Data Analyst

This is a full time employment opportunity. The ideal candidate will be responsible for collecting, processing and performing statistical analyses on large datasets, as well as leveraging their engineering background to help improve our data systems,infrastructure and day-to-day business operations. The candidate will need to work closely with various stakeholders within the organization to understand their needs and provide solutions that align with our business objectives. This role will also involve building various products and solutions, creating automations, reporting to generate insights, visualization of analyses for business teams.

Responsibilities:

• Collect, organize and process large datasets from various sources
• Develop and maintain data pipelines and databases
• Perform statistical analyses, create and automate data visualizations to support business decisions
• Work with cross-functional teams to identify data needs and provide insights
• Develop and implement data quality checks and ensure accuracy of data
• Continuously improve and optimize data systems and infrastructure
• Collaborate with product teams to build microservices and products
• Create and maintain reports and dashboards for business intelligence
• Generate insights and provide recommendations to drive business decisions
• Stay current with industry trends and new technologies related to data analysis, engineering, and product development

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
• 3 years of experience in data analytics, engineering, or related field
• Strong programming skills in Python/R and Javascript
• Strong SQL skills
• Experience working on cloud platforms
• Familiarity with data visualisation tools (Tableau, Looker, PowerBI)
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to work in a fast-paced and dynamic environment

If you are a driven and analytical individual who is passionate about using data to drive business decisions, improving existing systems, and building innovative products and microservices, we encourage you to apply for this exciting opportunity.

Benefits

• Fully remote with office optional. You decide when you would like to work from home and when from the office.
• Flexible timings. You decide your work scheduled.
• Market competitive compensation (in $$).
• Insane learning and growth