Data Analyst

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 a Data Analyst, 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 and reports to the Manager of Data Analytics based in Buenos Aires. The candidate must be available to work during US overlapping hours (10 AM to 7 PM Argentina Time).

Dialpad’s data team acts as a centralized hub, supporting the analytics and business intelligence needs of global departments such as Finance, Product, Customer Support, Marketing, 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 five global hubs located in the US, Canada, Argentina, India, and the Philippines.

What you’ll do

• Work closely with stakeholders across all departments in the company to understand their priorities and convert them into actionable data requirements.
• Gather and analyze data from diverse sources to provide precise and timely answers to business questions.
• Drive self-serve analytics across the organization by designing and building a robust suite of fully automated, accurate, and reliable dashboards.
• Define comprehensive data model requirements and document business logic to guide the Data Engineering team in creating curated datasets for automated reporting and in-depth 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 teams across the organization to implement best practices, improve processes, optimize costs, and enhance effective data utilization.
• As the role grows, perform statistical analysis, hypothesis testing, and build predictive machine learning models to optimize costs, forecast business outcomes, enhance product experiences, and drive business growth.

Skills You’ll Bring

• 1+ years of data analytics experience using big data.
• Advanced SQL development skills for data exploration and analysis.
• Strong analytical and problem-solving skills.
• Strong communication skills, a deep passion for data, and a relentless drive for growth.
• Experience building effective visualizations and data automations in an advanced BI tool like Tableau (preferred), PowerBI, DOMO, or Looker.
• Bachelor’s degree in a technical or business field.
• Experience working directly with business stakeholders to define requirements, drive analytics, and deliver effective insights.
• Hands-on experience with Agile Software Development methodologies and tools like Jira.
• Working experience in cloud-based data platforms like GCP, AWS, or Azure.
• Analytics experience in a SaaS-based technology company.

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.