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Senior Data Analyst

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Shape ambiguous business questions into defined analyses and metrics

  • Analyze large datasets with advanced SQL to produce clear recommendations

  • Build and maintain automated dashboards and reporting

  • Evaluate data quality and work with Data Engineering on infrastructure

  • Handle ad hoc analytics requests alongside planned projects

From the employer’s posting
shape ambiguous questions into well-defined analyses
Explore, clean, and analyze large datasets
Build and maintain automated dashboards and reporting that support data-driven decision-making
Evaluate data quality, integrate new data sources, and work with Data Engineering to improve data infrastructure and reliability
Handle ad hoc analytics requests alongside planned projects

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience in data analytics or a related role.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Excellent communication skills, with the ability to convey complex ideas to non-technical stakeholders.
  • Bachelor’s degree in a quantitative or business field (e.g., Statistics, Economics, Engineering, Business Analytics) or equivalent experience.

Preferred experience

  • Experience applying AI tools (e.g., Claude, Gemini, Copilot, ChatGPT) to accelerate analysis, code and query development, automation, and reporting.
  • Proficiency in Python, R, or Alteryx for data analysis and automation.
  • Experience with cloud data platforms such as Snowflake, AWS, GCP, or Azure.
  • Familiarity with GTM/revenue data and metrics (pipeline, funnel conversion, bookings/ARR, retention) and CRM data such as Salesforce.
Qualification wording
3+ years of experience in data analytics or a related role.
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Excellent communication skills, with the ability to convey complex ideas to non-technical stakeholders.
Bachelor’s degree in a quantitative or business field (e.g., Statistics, Economics, Engineering, Business Analytics) or equivalent experience.
Experience applying AI tools (e.g., Claude, Gemini, Copilot, ChatGPT) to accelerate analysis, code and query development, automation, and reporting.
Proficiency in Python, R, or Alteryx for data analysis and automation.
Experience with cloud data platforms such as Snowflake, AWS, GCP, or Azure.
Familiarity with GTM/revenue data and metrics (pipeline, funnel conversion, bookings/ARR, retention) and CRM data such as Salesforce.
Education & alternatives
- Excellent communication skills, with the ability to convey complex ideas to non-technical stakeholders. - Bachelor’s degree in a quantitative or business field (e.g., Statistics, Economics, Engineering, Business Analytics) or equivalent experience. Preferred Qualifications
Apply at RingCentral

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 5 and day 41.

From 10,578 similar postings that came down. Coming down is not always a hire.

RingCentral is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • GCP
  • Looker
  • Power BI
  • Snowflake
  • Tableau
Where the posting names them
- Experience applying AI tools (e.g., Claude, Gemini, Copilot, ChatGPT) to accelerate analysis, code and query development, automation, and reporting. - Proficiency in Python, R, or Alteryx for data analysis and automation. - Experience with cloud data platforms such as Snowflake, AWS, GCP, or Azure.
We are seeking a Senior Data Analyst to partner with GTM, Sales, Marketing, and leadership teams in transforming data into actionable insights that drive strategic decisions and business growth. In this individual contributor role, you will independently own analyses and metrics from question to recommendation, working with large-scale datasets and communicating results to technical and non-technical audiences. The ideal candidate combines advanced SQL and strong analytical skills with sound business judgment, and is comfortable working in a fast-paced environment. Responsibilities
- Analyze large datasets: Explore, clean, and analyze large datasets, including large transaction and records data, to generate actionable insights and clear recommendations. - Own metric and analysis design: Define metrics and design analyses that leverage big data sources, using advanced SQL to extract, transform, and interpret large-scale datasets. - Build reporting solutions: Build and maintain automated dashboards and reporting that support data-driven decision-making and reduce manual effort.
- 3+ years of experience in data analytics or a related role. - Advanced proficiency in SQL, with demonstrated experience analyzing big data, including large transaction and records datasets, to generate reports and analyses. - Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Proficiency in Python, R, or Alteryx for data analysis and automation. - Experience with cloud data platforms such as Snowflake, AWS, GCP, or Azure. - Familiarity with GTM/revenue data and metrics (pipeline, funnel conversion, bookings/ARR, retention) and CRM data such as Salesforce.
- Advanced proficiency in SQL, with demonstrated experience analyzing big data, including large transaction and records datasets, to generate reports and analyses. - Experience with data visualization tools such as Tableau, Power BI, or Looker. - Track record of independently owning analyses and projects from problem definition through insight delivery.

Your next step

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Senior Data Analyst


Say hello to opportunities.


If you’re looking to be part of what’s next in communication, you’re in the right place.


At RingCentral, we believe the best customer experiences happen when humans and AI work together. Our agentic voice AI portfolio—AIR, AVA, and ACE—brings together automation, assistance, and insights across the entire conversation lifecycle. The result? More seamless, intelligent experiences for businesses everywhere.


With $2.5B+ in ARR and $250M invested in R&D annually, we’re building the future of AI-powered business communications


This is where you and your skills come in. We’re currently looking for: 


We are seeking a Senior Data Analyst to partner with GTM, Sales, Marketing, and leadership teams in transforming data into actionable insights that drive strategic decisions and business growth. In this individual contributor role, you will independently own analyses and metrics from question to recommendation, working with large-scale datasets and communicating results to technical and non-technical audiences.


The ideal candidate combines advanced SQL and strong analytical skills with sound business judgment, and is comfortable working in a fast-paced environment.



Responsibilities


  • Partner with stakeholders: Collaborate with business stakeholders to identify opportunities for using data to optimize processes and improve performance, and shape ambiguous questions into well-defined analyses.

  • Analyze large datasets: Explore, clean, and analyze large datasets, including large transaction and records data, to generate actionable insights and clear recommendations.

  • Own metric and analysis design: Define metrics and design analyses that leverage big data sources, using advanced SQL to extract, transform, and interpret large-scale datasets.

  • Build reporting solutions: Build and maintain automated dashboards and reporting that support data-driven decision-making and reduce manual effort.

  • Improve data quality and infrastructure: Evaluate data quality, integrate new data sources, and work with Data Engineering to improve data infrastructure and reliability.

  • Communicate with impact: Present findings and translate complex analyses into clear, concise insights for non-technical stakeholders, and follow up to track outcomes.

  • Deliver under pressure: Handle ad hoc analytics requests alongside planned projects, delivering timely, high-quality insights under tight deadlines and prioritizing effectively across competing requests.

  • Raise the bar: Apply and share good practices for analysis, documentation, and validation, and look for opportunities to automate repeatable work, including with AI-assisted tools.

Qualifications


  • 3+ years of experience in data analytics or a related role.
  • Advanced proficiency in SQL, with demonstrated experience analyzing big data, including large transaction and records datasets, to generate reports and analyses.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Track record of independently owning analyses and projects from problem definition through insight delivery.
  • Strong problem-solving skills and the ability to manage multiple projects and shifting priorities simultaneously.
  • Excellent communication skills, with the ability to convey complex ideas to non-technical stakeholders.
  • Bachelor’s degree in a quantitative or business field (e.g., Statistics, Economics, Engineering, Business Analytics) or equivalent experience.

Preferred Qualifications


  • Experience applying AI tools (e.g., Claude, Gemini, Copilot, ChatGPT) to accelerate analysis, code and query development, automation, and reporting.
  • Proficiency in Python, R, or Alteryx for data analysis and automation.
  • Experience with cloud data platforms such as Snowflake, AWS, GCP, or Azure.
  • Familiarity with GTM/revenue data and metrics (pipeline, funnel conversion, bookings/ARR, retention) and CRM data such as Salesforce.






RingCentral’s work culture is the backbone of our success. And don’t just take our word for it: we are recognized as a Best Place to Work by BuiltIn, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success.



About RingCentral/Acquire Intelligence


RingCentral is a global leader in agentic voice AI–powered business communications, delivering an integrated platform for business phone, SMS, contact center, workforce engagement management, video collaboration, and messaging. As the communications layer connecting businesses and customers, RingCentral is the front door of business communication and is in the advantageous position to apply AI at every phase of the conversation journey — before, during, and after each interaction. Our agentic AI portfolio includes autonomous voice-first AI agents that automate calls, assist in the moment, and analyze every interaction – enabling businesses to work smarter, respond faster, and connect more meaningfully with their customers. Visit ringcentral.com to learn more.

RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process. If you require such accommodations, please click on the following link to learn more about how we can assist you.



Acquire Intelligence transforms the way companies grow and operate by combining intelligent global outsourcing with AI consulting and implementation to accelerate growth and transform business at scale.

 

We eliminate inefficiencies, automate with intent, and reallocate work to where it performs best. With 9,000 employees across Australia, the Philippines, the Dominican Republic, and the United States, we provide secure and scalable solutions in customer experience, back office, and digital operations.

 

Founded in 2006, Acquire offers flexible delivery models ranging from building Remote Teams to comprehensive outsourcing in both onshore and offshore locations. Our AI division accelerates

transformation with automation strategies that deliver guaranteed ROI. All solutions are backed by deep expertise and enterprise grade compliance.

 

At Acquire Intelligence, we are Safe, Flexible, and Innovative. We deliver transformation with intent, impact, and entrepreneurial energy.

 


By completing your application for this role, you:

  • Agreed that the information collected through this site will only be processed with your prior consent and for the purpose of facilitating your employment opportunities
  • Have read and agreed to our Data Privacy Policy 



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Manila, Philippines

We eliminate inefficiencies, automate with intent, and reallocate work to where it performs best. With 9,000 employees across Australia, the Philippines, the Dominican Republic, and the United States, we provide secure and scalable solutions in customer experience, back office, and digital operations. Founded in 2006, Acquire offers flexible delivery models ranging from building Remote Teams to comprehensive outsourcing in both onshore and offshore locations. Our AI division accelerates transformation with automation strategies that deliver guaranteed ROI. All solutions are backed by deep expertise and enterprise grade compliance.
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