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.
