Job Description
This is an opportunity for a data analyst to build experience at a growing software company, in a supportive, diverse, and hardworking data team. This role involves analyzing data quality, applying data maintenance activities, and acquiring and integrating publicly available data into our proprietary data sets.
What You'll Do
Work with product managers to understand data quality requirements, data sources, and maintenance requirements.
Build quality checks, validation rules, and other processes to ensure data quality.
Configure web scrapes and ETL pipelines to integrate data sources into our systems.
Perform analyses and reporting to investigate data quality and support operational activities.
Develop and build ad hoc data transformations to clean data and fix quality issues.
Work with the Data Engineering team to help define requirements for ETL pipelines and other repeatable processes.
Coordinate with other Data Analysts on common processes, best practices, as well as peer reviews.
Document processes developed and work done.
Requirements
Excellent attention to detail, a meticulous approach, especially when working with data.
2+ years of experience working as a Data Analyst or in a similar role.
Prior experience with Web-scraping.
Understanding of: SQL, Python, Regular expressions.
Demonstrated ability to interpret and follow written instructions, seek clarification where needed, and assess the output of a Web scrape against the written requirements.
Able to document work with precision and clarity.
Good written and verbal communication skills in English.
Nice to Have
Prior experience with/understanding of: Web scraping platforms, XPath selectors, Document Object Model (DOM) AWS.
Perks & Benefits
Flexible work from anywhere policy.
What You'll Do
Work with product managers to understand data quality requirements, data sources, and maintenance requirements.
Build quality checks, validation rules, and other processes to ensure data quality.
Configure web scrapes and ETL pipelines to integrate data sources into our systems.
Perform analyses and reporting to investigate data quality and support operational activities.
Develop and build ad hoc data transformations to clean data and fix quality issues.
Work with the Data Engineering team to help define requirements for ETL pipelines and other repeatable processes.
Coordinate with other Data Analysts on common processes, best practices, as well as peer reviews.
Document processes developed and work done.
Requirements
Excellent attention to detail, a meticulous approach, especially when working with data.
2+ years of experience working as a Data Analyst or in a similar role.
Prior experience with Web-scraping.
Understanding of: SQL, Python, Regular expressions.
Demonstrated ability to interpret and follow written instructions, seek clarification where needed, and assess the output of a Web scrape against the written requirements.
Able to document work with precision and clarity.
Good written and verbal communication skills in English.
Nice to Have
Prior experience with/understanding of: Web scraping platforms, XPath selectors, Document Object Model (DOM) AWS.
Perks & Benefits
Flexible work from anywhere policy.
💡 Quick Summary
Seeking a career-building opportunity? The Data Analyst position is now open for candidates interested in the Data Entry Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Data Entry Jobs is a plus.
