Job Description

Data-Powered Recruitment Marketing Platform

Our mission is to make it easy for companies to attract and hire great talent

Powered by marketing professionals, Recruitics, helps the most identifiable brands successfully attract their workforce through proven data-driven strategies, marketing, and advertising. Our specialty is building client confidence on a solid foundation of emerging tech, creative media, and client services. Together, we strive to set an example for our company, clients, and competitors in work-life flexibility, career growth, and diversity.

We re a fun group of people who love coming to work and living the Recruitics values: We think, and act, as entrepreneurs, we do things the right way, we work together to provide personal customer service, and we make data-driven decisions.

We are seeking a highly skilled and experienced Lead Analytics Engineer to join our team. As the Lead Analytics Engineer, you will play a critical role in overseeing and executing analytical initiatives while managing a team of three direct reports. This is a unique opportunity to lead a talented group of professionals and contribute to the success of our clients\' recruitment efforts.

Responsibilities: * Team Leadership: Provide guidance, mentorship, and technical expertise to a team of four Analytics Engineers. Foster a collaborative and high-performance work environment, encouraging professional growth and ensuring team members meet their objectives.

• Reporting and Visualization: Create datasets which can be used in our BI Tool, Looker, to allow users to design and create comprehensive reports and dashboards to communicate analytical findings to internal stakeholders and clients. Ensure data is performant to meet the needs of our users
• SQL Development: Write and optimize SQL code in DBT to transform and analyze large datasets efficiently. Collaborate with the team to design and implement robust data models and pipelines that support business requirements.
• Airflow DAG Maintenance: Design, develop, and maintain Airflow DAGs in Python to orchestrate data workflows and automation processes. Ensure the stability and reliability of DAGs, monitor their execution, and troubleshoot issues as they arise.
• Technical Expertise: Stay abreast of industry trends, emerging technologies, and best practices in analytics and data engineering. Act as a subject matter expert and provide guidance on advanced analytical methodologies and tools.
• Collaboration: Collaborate with internal teams, including Data Engineering, Product Development, and Customer Facing Application Teams, to integrate analytics solutions and ensure seamless data flow across systems. Work closely with clients to understand their unique business needs and tailor analytical solutions accordingly.
• Quality Assurance: Implement rigorous quality control measures to ensure accuracy, reliability, and integrity of data. Develop and maintain documentation for analytical processes, methodologies, and best practices.

Requirements: * Bachelor\'s or Master\'s degree in Computer Science, Statistics, Mathematics, or a related field.

• Proven experience (5 years) in a data analytics role with expertise in writing SQL code in DBT and maintaining Airflow DAGs in Python., preferably in the recruitment or marketing industry.
• Strong technical skills in data analysis and statistical modeling.
• Experience with data visualization tools, such as Tableau, Power BI, or Looker (Looker preferred).
• Previous leadership or management experience, including managing a team of direct reports.
• Excellent problem-solving and critical-thinking abilities, with a keen attention to detail.
• Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences.
• A self-starter with a passion for analytics and the drive to stay updated with the latest industry trends and technologies.
• Demonstrated ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
• Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams and clients.
• Kubernetes experience is a plus

If you are a dynamic leader with a deep understanding of analytics, SQL development in DBT, and Airflow DAG maintenance, we would love to hear from you. Join Recruitics and lead a team of talented Analytics Engineers while driving data-driven insights to optimize recruitment marketing strategies. Apply today and be part of our mission to revolutionize the way companies find top talent!

Target Salary Based on Experience
$133,880 - $184,090

Recruitics offers a generous benefits package that includes: Medical, Dental, Vision, Short Term Disability, Life Insurance, Paid Time Off, Parental Leave, Flexible Spending Account, and Employee Assistance Program for all employees, as well as a 401k program, for all eligible full time employees. Applicants must be at least 18 years old to apply. Recruitics is an equal opportunity employer. We value a culture of inclusion and diversity within our workforce and are committed to maintaining a workplace free from prohibited employment conduct, including discrimination or harassment based on race, color, national origin, sex, age, religion, disability, genetic information, sexual orientation, gender identity or expression, marital status, domestic partner status, civil partnership, status as a covered veteran, status in the Uniformed Services of the United States, citizenship and any other characteristic protected by State and Federal law.

Recruitics