Data Analytics Engineer at Dialpad

Buenos Aires, Buenos Aires, Argentina

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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 dashboards
Based in Argentina and available to work during US overlapping hours (12 NN to 8 PM ART)
Willing to travel occasionally

Responsibilities

Collaborate with Growth and Marketing teams to analyze data from multiple sources, delivering clear data insights that enable informed, strategic decisions
Initially support the Growth and Marketing teams, with flexibility to assist other departments as needs arise
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

Key technologies and capabilities for this role

Big DataData IngestionData QualityData EngineeringBusiness AnalyticsBusiness Intelligence

Questions & Answers

Common questions about this position

Where is this role based and what are the work hours?

The 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 (12 NN to 8 PM ART) and be willing to travel occasionally.

What are the key responsibilities of this Data Analytics Engineer role?

You will collaborate with Growth and Marketing teams to analyze data, develop automated dashboards, create data model requirements, perform statistical analysis and predictive modeling, and support self-serve analytics across departments.

What traits does Dialpad look for in candidates?

Dialpad seeks individuals who are Scrappy, Curious, Optimistic, Persistent, and Empathetic, in addition to meeting high standards and going beyond them.

What is the structure of Dialpad's data team?

Dialpad’s data team acts as a centralized hub supporting analytics needs across global departments and operates from five global hubs in the US, Canada, Argentina, India, and the Philippines.

What makes a strong candidate for this role?

Strong candidates should have skills in statistical analysis, hypothesis testing, predictive machine learning models, dashboard development, and data modeling, along with the traits of being Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Dialpad

AI platform for customer engagement and collaboration

About Dialpad

Dialpad offers an AI-powered platform designed to enhance customer engagement, sales, and team collaboration. Its key features include real-time transcription of conversations, sentiment analysis to gauge the mood of discussions, live coaching for sales representatives, and predictive customer satisfaction (CSAT) scores to forecast client satisfaction. This platform serves a diverse clientele, from small businesses to large corporations, and operates on a subscription-based model. Dialpad distinguishes itself from competitors through its rapid product innovation and strong partnerships, such as its collaboration with the Sacramento Kings basketball team, which includes community programs like The Huddle Lab for young entrepreneurs. The company has received recognition from G2 in various categories, including Unified Communications as a Service (UCaaS) and Contact Center as a Service (CCaaS). Dialpad's goal is to leverage AI to improve customer service and sales effectiveness.

San Ramon, CaliforniaHeadquarters

2011Year Founded

$437.7MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees