Analytics Engineer

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Introduction

CompanyCam is a simplified photo documentation and productivity application designed specifically for contractors across both commercial and home service industries. The organization is known for its commitment to providing an intuitive user experience. CompanyCam aims to facilitate superior communication and accountability within contractor businesses, ensuring that they can trust both their internal operations and their interactions with customers.

The Role

Currently, CompanyCam is seeking an Analytics Engineer who will play a crucial role in establishing and maintaining the data infrastructure needed for effective decision-making. This position reports directly into the data organization and focuses on the following core areas:

• Building reliable data pipelines
• Maintaining high-quality data models
• Providing assurance that teams can confidently utilize data in their workflows

Job Responsibilities

The responsibilities of the Analytics Engineer include:

• Designing and maintaining robust ETL (Extract, Transform, Load) pipelines utilizing tools like Fivetran, Stitch, and Portable.
• Managing and optimizing the Snowflake data warehouse to guarantee performance, reliability, and scalability.
• Using dbt (data build tool) for transforming, testing, documenting, and scheduling analytics data models.
• Creating and maintaining analytics-ready data models for insightful reporting and decision-making capabilities.
• Implementing and maintaining event tracking through Snowplow to capture accurate data collection.
• Collaborating with product, engineering, and business teams to understand and fulfill data needs.
• Monitoring and ensuring data integrity across multiple systems and data sources.
• Identifying areas to improve, automate, and scale existing data workflows and processes.
• Staying abreast of trends and contemporary tools in analytics engineering.

Required Skills

Candidates interested in this role should have the following skills and experience:

• A minimum of 3 years in analytics engineering, data engineering, or a similar role.
• Strong familiarity with modern ETL tools such as Fivetran, Stitch, or Portable.
• Hands-on experience with Snowflake, or similar cloud-based data warehouses.
• Proficiency with dbt for data transformation and orchestration.
• Solid SQL skills and experience using BI tools like Metabase.
• Experience leveraging event tracking systems, specifically Snowplow.
• A robust understanding of data warehousing concepts and best practices.
• Excellent problem-solving skills and meticulous attention to detail.
• Capability to translate business requirements into clear and maintainable data models.
• Effective verbal and written communication skills.
• Ability to work independently while maintaining collaboration with cross-functional teammates.
• A proactive, growth-oriented mindset that values data quality and improvement.

Preferred Qualifications

While not essential, the following experience would be a plus:

• Proficiency in Python or similar scripting languages.
• Background in supporting analytics for product-led organizations or SaaS (Software as a Service) companies.
• Experience in analytics support for marketing teams.
• Familiarity with enhancing data platforms and elevating the analytics capabilities of an organization.

Salary and Benefits

This position offers a salary range of $120,000-$130,000 per year, based on the candidates' experience levels. CompanyCam also provides meaningful equity and a comprehensive benefits package.

Work Environment

Candidates applied for this role must be located permanently within the United States. Importantly, the company allows employees to work remotely, eliminating the need to move to their headquarters in Lincoln, Nebraska. However, employees are welcomed to spend up to 10 days per calendar year at headquarters, funded by CompanyCam.

Company Culture

CompanyCam prides itself on being an equal opportunity employer. They cherish a diverse workforce, promoting respect, inclusion, and personal growth among all their teams. The organization values contributions from individuals of diverse backgrounds, welcoming applicants regardless of personal characteristics. They emphasize considering potential, passion, and commitment to learning as integral factors during the hiring process.

Application Process

The application process includes submitting an application through their official careers page. Any individual requiring accommodations during the online application or interview processes is encouraged to contact the company via their designated email. However, it is important to note that resumes sent directly to the email address may not be reviewed.

Conclusion

In summary, becoming an Analytics Engineer at CompanyCam offers an exciting opportunity to make tangible contributions to an innovative company while tapping into a supportive remote work environment. The blend of technical challenges in data engineering and the chance to impact overall business decision-making creates a compelling professional journey for prospective applicants.

This job offer was originally published on himalayas.app