Analytics Engineer at Dialpad UK Ltd

Kitchener, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, SQL, Data Visualization, Machine Learning, Python, Agile Methodologies, Cloud Platforms, Business Intelligence, Data Engineering, Statistical Analysis, Predictive Analytics, Collaboration, Process Improvement, Dashboard Automation, Data Quality, Stakeholder Engagement

Industry

Software Development

Description

About Dialpad Dialpad is the leading Ai-powered customer communications platform, transforming how businesses communicate with their customers. More than 50,000 companies around the globe — including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply — rely on Dialpad to build stronger customer connections using real-time, Ai-driven insights. Visit dialpad.com to learn more. Being a Dialer At Dialpad, you’ll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we're elevating each one with a platform that drives real-time insights and automation for our customers. We thrive on continuous evolution, where every employee leverages industry-leading Ai to constantly refine our platform and our own skills. We seek individuals who not only meet our high standards but go beyond them. Our ambition is significant, and achieving it requires a team that operates at the highest level. We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic. Your role As an Analytics Engineer, you will collaborate with business stakeholders across various departments to effectively leverage big data and provide accurate, actionable insights that address key business questions. This role is based in Argentina or Canada and reports to the Sr. Manager, Analytics Engineering in Argentina. The candidate must be available to work during California overlapping hours. Dialpad’s data team acts as a centralized hub, supporting the analytics and business intelligence needs of all global departments such as Finance, Product, Engineering, Customer Support, Marketing, Legal, HR, and Sales. The team is responsible for data ingestion, ensuring data quality, managing data engineering, and delivering business analytics services, including report automation, as well as descriptive and predictive analytics. Dialpad’s data team operates from four global hubs located in the US, Canada, Argentina, and India. What you’ll do Work closely with Product Management and Engineering teams to analyze data from various sources, delivering insights that support strategic decisions, while staying flexible to help other departments as needed. Conduct exploratory and statistical data analysis, test hypotheses, and develop predictive machine learning models to improve product experiences, forecast business outcomes, and support business growth. Develop a comprehensive suite of fully automated, accurate, and reliable dashboards to enable self-serve analytics. Develop detailed data model requirements and document business logic for the Data Engineering team to create curated datasets for report automation and analysis. Collaborate with external teams to improve the quality and usability of our internal data. Proactively monitor business performance through automated dashboards and ad-hoc analysis, providing leadership with actionable insights. Collaborate with data analysts and engineers across the organization to improve best practices and enhance data utilization and processes. Identify opportunities for continuous process improvement and cost optimization. Skills you’ll bring 5+ years of advanced data analytics experience using big data. Experience working directly with business stakeholders to define requirements, drive analytics, and deliver effective insights. Experience collaborating with Data Engineers, Business Analysts, and Team Leads, with a demonstrated track record of successfully working with offshore teams and delivering complex projects on time. Advanced SQL development skills for data exploration and analysis. Strong analytical and problem-solving skills. Experience building effective visualizations and dashboard automations in an advanced BI tool like Tableau (preferred), PowerBI, DOMO, or Looker. Bachelor’s degree in a technical or business field. Expertise in product and financial data analysis. Experience working in a SaaS-based technology company. Experience in building and training machine learning models for business analysis use cases. Proficiency in Python for data exploration and analysis. Hands-on experience with Agile Software Development methodologies and tools like Jira. Working experience in cloud-based data platforms like GCP, AWS, or Azure. We believe in investing in our people. Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success. Don’t meet every single requirement? If you’re excited about this role and you possess the fundamental traits, the drive, and strong ambition we seek, but your experience doesn’t satisfy every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Responsibilities

As an Analytics Engineer, you will collaborate with business stakeholders to leverage big data and provide actionable insights. You will conduct data analysis, develop predictive models, and create automated dashboards to support strategic decisions.