Senior Data Analyst at Ada

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Modeling, Analytics Engineering, Git, CI/CD, BI Platforms, Cross-Functional Collaboration, Analytical Skills, Problem-Solving, Communication, Attention to Detail, SaaS Experience, AI Productivity

Industry

Software Development

Description

About Us 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. Learn more at www.ada.cx. About the Role We are looking for a Senior Data Analyst to join our Data Analytics team. Reporting to Lead Data Analytics, this role focuses on enabling high-quality, strategic decision-making across the business through clean, business-ready data, thoughtful analysis, and accessible reporting. You will partner closely with Product and GTM stakeholders to understand business needs, define and maintain core metrics, and deliver actionable insights through dashboards and ad-hoc analysis. This role emphasizes strong analytical thinking, clear metric definition, and collaboration to ensure data is trusted, consistent, and impactful across the organization. Outcomes Define and maintain analytics-ready datasets and metrics that reflect business processes and support effective analysis and reporting Enable self-serve analytics by improving data clarity, accessibility, and documentation Ensure data quality by validating data, identifying inconsistencies, and partnering with engineering teams to maintain high data integrity Define, document, and maintain core business metrics and definitions to ensure consistent and trusted reporting Partner closely with Product and cross-functional teams to ensure end-user data is accurate, well-defined, and fit for analysis Support Product and GTM teams with actionable insights through thoughtful analysis and high-quality dashboards About You Minimum 4 years of experience in data analytics, business intelligence, or related analytical roles Strong proficiency in SQL and Python, with hands-on experience writing and optimizing complex analytical queries in modern cloud data warehouses. Experience with data modeling and analytics engineering practices (e.g., dbt), and version-controlled analytics development using Git and CI/CD Experience building analytics in BI platforms (Omni, Looker, Metabase, Tableau etc…) Experience partnering with cross-functional stakeholders to understand business questions and translate them into analytical requirements Strong understanding of data modeling concepts and metric definition to ensure consistent and trusted reporting 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 Previous work experience for a SaaS company is considered an asset. Adept at leveraging AI to enhance productivity #LI-NS1 Benefits & Perks 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: Benefits 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. Perks 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.

Responsibilities

The Senior Data Analyst will define and maintain analytics-ready datasets and metrics, enabling strategic decision-making through clean data and insightful reporting. They will collaborate with Product and GTM teams to deliver actionable insights and ensure data quality across the organization.