16 oct
Dialpad Japan
Buenos Aires
Join to apply for the Analytics Engineer role at Dialpad Japan
Analytics Engineer role located in Data Buenos Aires, Argentina.
About Dialpad Dialpad is the leading Ai-powered customer communications platform, transforming how businesses communicate with their customers.
More than 50,000 companies around the globe rely on Dialpad to build stronger customer connections using real-time, Ai-driven insights.
Visit dialpad.com to learn more.
Being a Dialer At Dialpad, you’ll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful.
We believe that every conversation matters,
and we’re elevating each one with a platform that drives real-time insights and automation for our customers.
We thrive on continuous evolution, where every employee leverages industry-leading Ai to refine our platform and our own skills.
We seek individuals who not only meet our high standards but go beyond them.
Our ambition is significant, and achieving it requires a team that operates at the highest level.
We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
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 (12 NN to 8 PM ART) and be willing to travel occasionally.
Dialpad’s data team acts as a centralized hub,
supporting the analytics and business intelligence needs of all general 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 five global hubs located in the US, Canada, Argentina, India, and the Philippines.
What You’ll Do
- 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 by developing a comprehensive suite of fully automated,
accurate 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 outcomes, enhance product experiences, and drive business growth.
- Collaborate with external teams to improve the quality and usability of 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 data utilization.
- 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 insights.
- Experience collaborating with Data Engineers, Business Analysts, and Team Leads, with a track record of 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 visualizations and dashboard automations in 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 methodologies and Jira.
- Working experience with cloud-based data platforms like GCP, AWS, or Azure.
We believe in investing in our people.
Dialpad offers competitive benefits and perks, along with a robust training program.
Dialpad is an equal-opportunity employer.
We are dedicated to inclusion and a harassment-free environment.
Apply for this position
Back to all jobs
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Telecommunications
Don’t meet every single requirement?
If you’re excited about this role and you possess the fundamental traits and drive, we encourage you to apply.
#J-18808-Ljbffr
Required Skill Profession
Informática Y Tecnología
📌 Analytics Engineer (Buenos Aires)
🏢 Dialpad Japan
📍 Buenos Aires
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.