
Data Integrity Analyst
3 days ago
As a Data Integrity Analyst at Programmers Force, you will play a vital role in ensuring the accuracy and reliability of our lead generation data. Your expertise in data management and analysis will help us make informed decisions and drive business growth.
Key Responsibilities:- Data Collection
- Manually collect data from various sources, including websites, databases, and other relevant platforms.
- Conduct thorough research to identify and source high-quality data that aligns with our Business Product Goal.
- Data Cleaning & Verification
- Clean and preprocess data to ensure it is free from errors, inconsistencies, and duplicates.
- Verify the accuracy and completeness of data through double-checking and cross-referencing with reliable sources.
- Data Maintenance
- Regularly update existing spreadsheets to ensure they remain current and relevant.
- Monitor data sources for any changes or updates that may affect data quality.
- Data Enhancement
- Identify opportunities to enhance data quality by finding additional relevant data points.
- Collaborate with other teams to integrate new data sources seamlessly into existing databases.
- Implement and adhere to data quality standards and best practices.
- Conduct regular audits and reviews of data to maintain high levels of accuracy and integrity.
- A minimum of 1-3 years of experience in data collection, data cleaning, data quality management, or a similar role OR fresh graduates with relevant academic projects or internships demonstrating proficiency in data management tasks.
- Bachelor's degree in Data Science, Information Technology, Statistics, Computer Science, Mathematics, or a related field.
- Proficiency in data management tools and software (data studio, excel, sales CRMs).
- Familiarity with data cleaning and preprocessing techniques.
- A basic understanding of data visualization tools is a plus.
- Strong ability to search, research, and source relevant data efficiently.
- Detail-oriented with a keen eye for identifying data discrepancies and inconsistencies.
- Excellent organizational and time-management abilities.
- Strong communication skills to collaborate effectively with team members and stakeholders.
- Ability to work independently and manage multiple tasks simultaneously.
- High level of accuracy and attention to detail.
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