Technical Lead - Fullstack

Job Summary

The Director of Data & Analytics at Jackpot.com is responsible for driving data-driven decision-making across the organization. Reporting to the Chief Data Officer, this role will lead a team focused on analytics, data engineering, and advanced data science initiatives.

About the Role

As the Director of Data & Analytics, you will be instrumental in shaping the company's data strategy and ensuring that data insights inform all aspects of the business. You will collaborate closely with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and drive growth.

Responsibilities

• Develop and execute a comprehensive data strategy aligned with the company’s strategic goals
• Lead a team of data scientists, engineers, and analysts to deliver high-quality data products and insights
• Collaborate with product managers, marketers, and other stakeholders to understand business needs and translate them into actionable data strategies
• Implement advanced analytics techniques such as causal inference, A/B testing, and machine learning models to drive business outcomes
• Ensure data quality and integrity through robust data pipelines and governance practices
• Stay up-to-date with industry trends and best practices in data analytics and data engineering
• Present findings and recommendations to senior leadership and provide regular updates on project progress

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Minimum of 8 years of experience in data analytics, data engineering, or a related field
• Proven track record of leading data-driven initiatives and delivering measurable results
• Experience with data warehousing technologies like Fivetran and Airflow
• Strong understanding of statistical methods, machine learning, and data visualization tools
• Excellent communication and collaboration skills
• Ability to work independently and manage multiple projects simultaneously

Qualifications

• Advanced degree in a relevant field preferred
• Experience with Python and other programming languages used in data science
• Knowledge of data privacy regulations and compliance requirements

Benefits

• Competitive salary commensurate with experience
• Flexible remote work options
• Health insurance and wellness programs
• Professional development opportunities
• Annual bonus based on performance

Pay

Competitive salary commensurate with experience

Schedule

Full-time remote position