Data Analytics Engineer

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 Senior Director of Data Analytics in the US. The candidate must be available to work during US overlapping hours (9 AM to 1 PM PST) and be willing to travel occasionally.

What you’ll do

• Collaborate with stakeholders to define key questions that will provide insights, empowering the business to make informed and strategic decisions.
• Analyze data from multiple sources to deliver accurate and timely answers to key business questions.
• Promote self-serve analytics throughout the organization by developing a comprehensive suite of fully automated, accurate, and reliable dashboards.
• Develop detailed data model requirements and document business logic for the Data Engineering team to create curated datasets for report automation and analysis.
• Perform statistical analysis, hypothesis testing, and build predictive machine learning models to optimize costs, forecast business outcomes, enhance product experiences, and drive business growth.
• 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), Power BI, DOMO or Looker.

Preferred education and experiences

• 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.

Benefits

Professional development

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