Senior Analytics Engineer

Ada; Canada; Remote; CAD 106,000 - 137,000; Full time

Job summary

Ada, an innovative AI customer service company, seeks a Senior Analytics Engineer to enhance its data analytics team's performance. This pivotal role focuses on designing and maintaining robust data infrastructures, implementing high-quality data standards, and collaborating closely with product teams to support the delivery of impactful analytical insights.

Benefits

Unlimited Vacation

Comprehensive Benefits

Wellness Account

Flexible Work Schedule

Remote-First, In-Person Friendly

Learning & Development Budget

Work from Home Budget

Access to Cutting-Edge AI Tools

Hands-On with LLMs

Qualifications

• Minimum 4 years of experience in data analytics or related fields.
• Proficiency in SQL, Python, and cloud data technologies.
• Experience with BI platforms such as Tableau or Looker is a plus.

Responsibilities

• Design, build, and maintain data infrastructure for analytics.
• Establish data quality standards and automate validation.
• Collaborate with product teams to ensure data integrity.

Skills

SQL

Python

Data analysis

Problem-solving

BI platforms

Analytics engineering

Tools

Github

DBT

Clickhouse

Job description

Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless.

Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them.

Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com , saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service.

At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you.

We are looking for a Senior Analytics Engineer to join our Data Analytics team. Reporting to the Manager, Data Analytics, your responsibilities will be related to the design, build, and maintenance of the infrastructure that enables data analysis and business intelligence. The primary focus for this role is to provide clean, transformed data, to maintain data documentation and definitions, and to contribute to the semantic layer that enables AI assisted analytics. This role will also stretch into analytics, by working closely with internal stakeholders in both product and GTM.

• Minimum 4 years of experience in data analytics/data science, data engineering, analytics engineering or similar fields
• Proficiency in SQL, Python, and modern cloud data-warehousing technologies, including hands on query-plan analysis and index design. DBT and Clickhouse experience a plus
• Knowledge of working with development best practices (Github and CI/CD)
• Excellent analytical and problem-solving skills, with a keen ability to troubleshoot and resolve data-related issues
• Effective written and verbal communication and strong attention to detail
• Experience building in BI platforms (Tableau, Looker, Metabase, Omni etc…)
• Previous work experience for a SaaS company is considered an asset
• Adept at leveraging AI to enhance productivity

Outcomes

• Develop and implement data models that reflect business processes and requirements, enabling effecting data analysis and reporting
• Establish and enforce data quality standards, automating data validation and cleaning to maintain high data integrity
• Design, build, and maintain a strong semantic layer with high quality documentation
• Work closely with product teams to ensure high quality end-user data
• Support product and GTM teams with thoughtful analysis and high quality dashboards

The expected salary range for this position is $106,400 CAD to $ 137,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

#LI-NS1

At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer:

• Unlimited Vacation: Recharge when you need to.
• Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
• Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
• Employee & Family Assistance Plan: Resources to support you and your loved ones.
• Flexible Work Schedule: Balance your work and personal life.
• Remote-First, In-Person Friendly: Options to work from home or at our local hub.
• Learning & Development Budget: Invest in your long-term growth goals and skills.
• Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
• Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
• Hands-On with LLMs: Enhance your expertise in leveraging large language models.
• A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.
  
  

The above Benefits and Perks only apply to full-time, permanent employees.

Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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