About Dialpad
Ai that means business
Dialpad pioneered the first Ai-powered customer communications platform that now serves as the secure foundation for all Dialpad products. By bringing all conversations together in one place, businesses of all sizes in any industry can instantly unlock the power of Ai to unite people, automate tasks, streamline workflows, collect data-driven insights, and turn conversations into opportunities that drive growth. Supported by notable investors like Andreessen Horowitz, Google Ventures, and ICONIQ, Dialpad is a dynamic force in AI technology with a rapidly expanding presence. Visit dialpad.com to learn more.
About the team
Dialpad’s data team serves as the central hub for analytics and business intelligence, supporting all departments including Finance, Product, Customer Support, Legal, Marketing, and Sales. The team is responsible for data ingestion, ensuring data quality, data engineering, Business Intelligence, descriptive analytics 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 Senior Manager of Data Analyst, you will manage a team of Data Analysts based in the Philippines and 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 the Philippines and reports to the Senior Director of Data Analytics in the US. The candidate must be available to work night shift in the Philippines, during US working hours (8 AM to 4 PM PST / 11 PM to 7 AM PHT). In this role, approximately 70% of your time will be dedicated to individual hands-on work, while 30% will focus on managing and mentoring a team of data analysts.
What you’ll do
Team Leadership: Manage and mentor a team of data analysts, ensuring high performance and continuous professional development.
Stakeholder Collaboration: Work closely with cross-functional stakeholders to identify key business questions and provide data-driven insights that support strategic decision-making.
Data Analysis: Analyze data from multiple sources to provide accurate, timely answers to critical business questions. Ensure findings are actionable and aligned with business goals.
Promote Self-Serve Analytics: Develop and maintain a suite of fully automated, accurate, and reliable dashboards that enable self-service analytics across the organization, empowering teams to make informed decisions.
Data Modeling and Documentation: Collaborate with the Data Engineering team to define detailed data model requirements, document business logic, and create curated datasets for report automation and analysis.
Data Quality and Usability: Partner with external teams to improve the quality and usability of internal data, ensuring that it meets the needs of various departments.
Proactive Monitoring: Monitor business performance through automated dashboards and ad-hoc analysis. Provide leadership with actionable insights to guide strategic decisions.
Collaboration and Best Practices: Work closely with data analysts and engineers across the organization to enhance data utilization, improve processes, and ensure adherence to best practices.
Process Improvement: Continuously identify and implement opportunities for process improvement, cost optimization, and operational efficiencies.
Advanced Analytics and Machine Learning: Perform statistical analysis, hypothesis testing, and build predictive machine learning models to optimize costs, forecast business outcomes, enhance product experiences, and drive business growth.
Must have skills & experiences
- 7+ years of experience in data analytics, business intelligence, or a related field, with at least 2 years in a leadership or managerial role.
- Excellent communication and collaboration skills, with the ability to work effectively across teams and stakeholders.
- Proven ability to manage multiple projects simultaneously and deliver high-quality results on time.
- 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.
Preferred education and experiences
- Bachelor’s degree in a technical or business field.
- Expertise in product, financial, marketing, sales, or customer support 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 and perks
Benefits and wellness
An apple a day keeps the doctor away—and it doesn’t hurt that we offer great options for medical, dental, and vision plans for all employees. Along with that, employees also receive a monthly stipend to help cover your cell phone bill, home internet bill, and we reimburse for gym membership costs, a variety of wellness events, and more!
Professional Development
Dialpad offers reimbursement for expenses related to professional development, up to an annual limit per calendar year.
Culture
We’ve been named a Top Workplace seven times, and a big part of this is because of our collaborative culture that elevates our teammates, celebrates wins, and brings together passion and talent.
Compensation
Teamwork makes the dream work, and Dialpad offers competitive salaries because each and every Dialer participates in our success.
Diversity, Equity, and Inclusion (DEI) at Dialpad
At Dialpad, we are passionate about Doing the Right Thing. This means we are committed to building a values-driven culture that celebrates identity, inclusion and belonging. As a global company, it’s our responsibility to come together to create a culture where all Dialers can Work Beautifully, Delight Our Users, and Innovate Continuously to bring our world-class product to life.
Every Voice Matters at Dialpad. We build community through our Employee Resource Groups, company-wide celebrations, service days, and a robust internal learning & development program focused on the success of our Dialers.
Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Top Skills
What We Do
Dialpad is a cloud-based business phone system that turns conversations into opportunities and helps global teams make smarter calls--anywhere, anytime. We bring simplicity to the professional phone experience and some of the world’s most innovative companies use our platform. Dialpad's products span video meetings, cloud call centers, sales coaching and dialers and enterprise phone systems--and are all infused with the latest AI technologies to help every business make smarter calls. Customers include WeWork, Uber, Motorola Solutions, Domo and Xero. Investors include Amasia, Andreessen Horowitz, Felicis Ventures, GV, ICONIQ Capital, Salesforce Ventures, Scale Venture Partners, Section 32, Softbank and Work-Bench.
