Data Analyst

About the team

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 Philippines.

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 Analytics Manager based in Buenos Aires. The candidate must be available to work during US overlapping hours (10 AM to 7 PM Argentina Time).

What you’ll do

• Collaborate with stakeholders to define key questions that lead to actionable insights, enabling the business to make informed and strategic decisions.
• Gather and analyze data from diverse sources to provide precise and timely answers to the 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.
• 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.

Benefits and perks

Professional development

Dialpad offers reimbursement for expenses related to professional development, up to an annual limit per calendar year.