CRM Database Specialist for Alarm and Home Automation Companies

Job Description:
We are seeking a detail-oriented and highly organized CRM Database Specialist to create and maintain a comprehensive database of alarm and home automation companies in Canada, followed by expansion into the USA. The successful candidate will be responsible for collecting critical company information to support our sales and marketing efforts.
Responsibilities:
Conduct thorough research to gather information on alarm and home automation companies across various provinces and cities in Canada, and subsequently in the USA.
Compile data including company names, addresses, phone numbers, email addresses, and company URLs.
Ensure the accuracy and relevance of all data collected by verifying contact details and company status.
Regularly update the CRM database to reflect changes in company information and to add new entries as the market evolves.
Work closely with the sales team to understand their data needs and optimize the CRM database for effective sales and marketing campaigns.
Develop and implement efficient data collection strategies to minimize errors and maximize data integrity.
Requirements:
Proven experience in data collection, database management, or a related field.
Strong attention to detail and commitment to accuracy.
Excellent research skills and proficiency in using online tools and databases.
Ability to work independently and manage time effectively across multiple projects.
Familiarity with CRM software and data entry protocols.
Strong communication skills and proficiency in English.
Web Scraping Tools: Proficiency in using tools like Scrapy, BeautifulSoup, or Selenium for extracting data from websites. Knowledge of web scraping frameworks specific to the candidate's programming language of choice (e.g., Python, JavaScript) is also valuable.
Programming Languages: Strong programming skills, particularly in languages commonly used for data scraping and automation, such as Python, JavaScript (for Node.js), or Ruby.
APIs: Experience with RESTful APIs to gather data from web services and understanding of JSON or XML data formats.
Data Cleaning Tools: Familiarity with data cleaning tools and libraries (like pandas in Python) to process and normalize large datasets.
Database Management: Skills in managing databases, whether SQL-based (like MySQL, PostgreSQL) or NoSQL (like MongoDB), to store and retrieve the scraped data efficiently.
Technical Skills:
Data Management: Proficiency in managing and manipulating large datasets, including data entry, cleaning, and maintenance.
Research Skills: Ability to effectively use search engines, industry directories, and other digital resources to gather accurate information.
CRM Software: Familiarity with CRM (Customer Relationship Management) systems like Salesforce, HubSpot, or others where data will be stored and managed.
Spreadsheet Proficiency: Strong skills in Excel or similar spreadsheet software, including functions like sorting, filtering, and using formulas to organize data.
Analytical Skills:
Attention to Detail: Precision in data collection and the ability to spot inaccuracies or inconsistencies in data.
Problem Solving: Capacity to identify issues in data collection or database management and develop practical solutions.
Analytical Thinking: Ability to analyze data trends and provide insights that may benefit sales and marketing strategies.
Communication Skills:
Written Communication: Clear and effective writing skills for documenting data sources, preparing reports, and communicating with team members.
Verbal Communication: Strong verbal skills to discuss project requirements and progress with team members and possibly to contact companies directly for information verification.
Organizational Skills:
Time Management: Ability to manage multiple tasks effectively and meet deadlines, especially when handling data across various regions.
Project Management: Skills in planning and executing data collection strategies, managing databases, and periodically updating the CRM.
Interpersonal Skills:
Team Collaboration: Ability to work collaboratively in a team environment, especially with sales and marketing departments to understand their data needs.
Independence: Capability to work autonomously and maintain productivity without direct supervision.
Adaptability:
Learning Agility: Quick to learn new tools or software that may be implemented during the course of the project.
Flexibility: Adapt to changing project needs and the ability to modify data collection strategies as needed.