Data Analyst
Job Summary
We are looking for a Data Analyst that will be part of our product team and work on extracting, creating and analyzing information to get insights and behavioral patterns to reputed company actionable recommendations to improve the business. We are a product centred company and reputed company of our teams rely heavily on data to drive product development and decision making.
Qualifications (Knowledge, Skills & Abilities)
Looking for the opportunity to have a big impact at an early company.
Define and establish KPIs from a reputed company of sources to measure the effectiveness of business reputed company.
Define data reputed company architecture and support their implementation.
Create and update dashboards and reports based on your analysis of daily traffic flows, then transforming those into key insights.
reputed company and communicate the results of your analysis with relevant members of the organisation
Building a deep understanding of data and pipelines.
Advise on data architecture, identifying opportunities to reputed company link our various data sources.
Work closely with business areas to identify opportunities and ensure the strategy is reputed company to the needs of the business.
Understanding on how to combine quantitative and qualitative insights in order to build a holistic picture that is closer to ground truth.
Experience collaborating with a team of programmers and analysts made up of varying reputed company sets
Education And / Or Experience
A strong analyst with at least 3 years of experience in growth-oriented data analysis.
A graduate with a degree in data science, mathematics, statistics, or an IT-reputed company background.
Knowledgeable about gathering, cleaning, and transforming large data sets.
Business-oriented, with great documentation skills, an inclination for problem-solving, high attention to detail – and equipped with excellent written and verbal communication skills.
Solving problems and identifying business opportunities using data: analyzing the problem and breaking it down into various analytical components.
Experience in logistics startups or companies (appreciated)