Data collection and analysis: Collecting and analyzing large sets of data to identify inconsistencies, errors, and missing information.
Developing and implementing data cleaning processes: Developing and implementing processes to ensure that data is accurate, complete, and consistent. This includes identifying and addressing data quality issues, performing data profiling and data cleansing activities, and creating data quality rules and metrics.
Conducting data audits: Performing regular audits to ensure data quality standards are met and maintained.
Documenting data quality issues: Documenting data quality issues, reporting findings, and recommending solutions to improve data quality.
Managing data quality tools and systems: Managing data quality tools and systems, such as data profiling software, data cleansing software, and data validation tools.
Staying up-to-date with data quality best practices: Staying up-to-date with industry best practices and new developments in data quality management to ensure that data is always of the highest quality.

Required Skills And Experience

Know and understand basic English
Know how to use LinkedIn
Know how to do web browsing
Hardworking, Flexible to work more as per demand, open to learn new things, patient as it require a lot of manual effort.

Personal Attributes

Should have a proactive mindset and forward thinking.
Ability to cope in a complex and fast-changing business environment, and to respond calmly and rationally to changing aspirations in a deadline-driven situation.
Strong planning and organizing skills including the ability to manage several work streams simultaneously.
Outstanding verbal and presentation skills.

Hiring Process

To Note

This job is no longer accepting applications

Marketing Data Intern