Analytics Engineer, Product at Dialpad

Kitchener, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Communications, AIIndustries

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 dashboard automations in an advanced BI tool like Tableau (preferred), PowerBI, DOMO, or Looker
Bachelor’s degree in a technical or business field
Based in Argentina or Canada and available to work during California overlapping hours

Responsibilities

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

Key technologies and capabilities for this role

Big DataData IngestionData QualityData EngineeringBusiness IntelligenceAnalytics EngineeringSQLETLReport Automation

Questions & Answers

Common questions about this position

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

The 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.

What are the key responsibilities of an Analytics Engineer at Dialpad?

You will collaborate with Product Management and Engineering teams to analyze data, conduct exploratory and statistical analysis, develop predictive models, build automated dashboards, define data model requirements, improve data quality, and monitor business performance.

What traits does Dialpad look for in employees?

Dialpad seeks individuals who are Scrappy, Curious, Optimistic, Persistent, and Empathetic, in addition to being ambitious and operating at the highest level.

What is the structure of Dialpad's data team?

Dialpad’s data team is a centralized hub supporting analytics needs across global departments like Finance, Product, Engineering, and others, operating from four global hubs in the US, Canada, Argentina, and India.

What makes a strong candidate for this Analytics Engineer role?

Strong candidates collaborate effectively with stakeholders, perform exploratory and statistical data analysis, build predictive ML models and automated dashboards, define data requirements, and proactively monitor performance while embodying traits like 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

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Phone/Internet Stipend

Gym Membership

Professional Development Budget

Risks

Emerging AI-driven platforms could erode Dialpad's market share.

Integration challenges from Surfboard acquisition may disrupt operations.

Rapid AI advancements could render Dialpad's offerings obsolete if not updated.

Differentiation

Dialpad offers real-time transcription and sentiment analysis, enhancing customer interactions.

Its AI-powered platform supports sales, customer engagement, and team collaboration effectively.

Dialpad's continuous innovation and fast feature releases set it apart from competitors.

Upsides

Dialpad's acquisition of Surfboard enhances its workforce management capabilities.

Recognition as Google Cloud Technology Partner of the Year boosts Dialpad's credibility.

Launch of business-specific AI models provides a competitive edge in sales conversations.

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