Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management.
Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities.

QUALIFICATIONS

• Degree or diploma in a relevant field. (e.g., Data Analytics, Computer Science, Business)
• Experience with Google Analytics 4 (GA4) and Google Tag Manager.
• Familiarity with data governance frameworks, policies, and best practices.
• Hands-on experience with large data sets and databases (BigQuery, MySQL, or similar).
• Knowledge of other reporting platforms (e.g., Adobe Analytics, Webmaster Tools, social media platforms).
• Strong critical thinking and problem-solving skills, with a detail-oriented mindset.
• Ability to communicate technical details clearly to non-technical audiences.
• Proficiency with spreadsheets and office productivity tools.
• Self-starter with the ability to work in a fast-paced environment and collaborate effectively in a team setting.
  The salary range for this position is $63,000 - $70,000. There is an annual target bonus.
  Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
  Lotlinx is not currently able to offer sponsorship for employment visa status.
  Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada.
  Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive

ROLE SUMMARY

As a Data Operations Specialist, you will play a key role in ensuring data accuracy, integrity, and security across our systems while driving performance optimizations. Reporting to the Data Operations Lead and collaborating with the Product Operations team, you’ll leverage your technical expertise to monitor, maintain, and govern data assets, contributing to the continued growth of our SaaS products.

KEY RESPONSIBILITIES

• Data Monitoring & Maintenance:
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• Proactively monitor data pipelines, integrations, and workflows to ensure continuous, error-free data flow.

• Perform routine data quality checks to identify and resolve anomalies or inconsistencies.
• Regularly audit databases and reports to ensure accuracy and adherence to best practices.
• Data Governance:
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• Develop and enforce data governance policies to maintain data integrity, confidentiality, and compliance with organizational standards.

• Collaborate with cross-functional teams to ensure adherence to data governance frameworks and regulatory requirements.
• Establish clear documentation for data sources, processes, and workflows to maintain transparency and consistency.
• Data Analysis & Strategy:
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• Analyze product performance and key metrics, delivering actionable insights to improve outcomes.

• Conduct competitive analysis and research to identify opportunities for growth and optimization.
• Leverage large data sets and navigate databases (BigQuery, MySQL, etc.) for data cleanup, maintenance, and analysis.
• Cross-Functional Collaboration:
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• Partner with product, engineering, and marketing teams to support product launches and onboarding.

• Ensure data points are properly configured within tools like Google Analytics and Google Tag Manager to generate accurate reporting and insights.
• Assist internal teams by troubleshooting data, reporting, or integration issues with efficiency and a solution-oriented mindset.
• Technical Contributions:
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• Apply coding knowledge (Python, Bash, Java, etc.) to automate workflows, enhance data processes, and address technical challenges.

• Optimize and maintain existing digital marketing campaigns using data-driven insights.