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Mode Analytics Jobs (NOW HIRING)

Working knowledge of SQL and/or BI reporting tools and techniques (we use Mode Analytics) * Experience with, or understanding of the SaaS Monitoring space (any other APM, Logging or Metrics vendors)

Fleet Reliability Engineer

San Francisco, CA · On-site

$120K - $152K/yr

Build the failure-mode analysis that tells engineering what to fix at the source. * Own fleet-wide trend and forecasting work, including power and solar planning. Reliability Economics ...

Fleet Reliability Engineer

San Francisco, CA · On-site

$120K - $152K/yr

Build the failure-mode analysis that tells engineering what to fix at the source. * Own fleet-wide trend and forecasting work, including power and solar planning. Reliability Economics ...

Build the failure-mode analysis that tells engineering what to fix at the source. * Own fleet-wide trend and forecasting work, including power and solar planning. Reliability Economics ...

Analyze customer shipping and logistics needs and present MODE Global's transportation solutions to optimize their supply chains, create a strategic modal strategy, find business ROI in strategic ...

At Mode Branding, our promise to our clients is to offer a one-stop shop with our personalized ... Mode Branding is looking for aCustomer Support Analyst, responsible for delivering customer support.

At Mode Branding, our promise to our clients is to offer a one-stop shop with our personalized ... Mode Branding is looking for a Customer Support Analyst, responsible for delivering customer ...

About MODE Global MODE Global is a $4B+ multimodal transportation leader, delivering comprehensive ... Analyze recurring accessorial charges and recommend solutions to reduce unnecessary costs.

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Mode Analytics information

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$60.5K

$123.8K

$175K

How much do mode analytics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for mode analytics in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

How does a Mode Analytics professional typically collaborate with cross-functional teams within an organization?

As a Mode Analytics professional, you will frequently work alongside data engineers, product managers, and business stakeholders to deliver actionable insights. Collaboration often involves gathering requirements, interpreting business needs, and presenting findings through data visualizations or dashboards. Regular communication and the ability to translate technical data into meaningful recommendations are key to ensuring your analyses effectively support decision-making across departments. This role thrives on teamwork, as projects usually span multiple business units, requiring both technical expertise and strong interpersonal skills.

What is Mode Analytics?

Mode Analytics is a collaborative data analytics platform designed for data scientists and analysts. It enables users to explore, analyze, and visualize data using SQL, Python, and R, all within a single environment. Mode makes it easy to share interactive reports and dashboards with teams, streamlining the process of turning data insights into business decisions. Its integrations and automation features help organizations manage complex data workflows efficiently.

What is the difference between Mode Analytics vs Data Analyst?

AspectMode AnalyticsData Analyst
Primary RoleData exploration, visualization, and reporting using Mode platformAnalyzing data, generating reports, and providing insights across various tools
Required SkillsSQL, Python, data visualization, familiarity with Mode platformSQL, Excel, data visualization, statistical analysis
Work EnvironmentData teams, analytics departments, tech companiesBusiness units, consulting firms, finance, marketing
CertificationsNone specific, familiarity with data toolsSQL certifications, data analysis courses

Mode Analytics professionals focus on using the Mode platform for data visualization and reporting, often working closely with data teams. Data Analysts perform broader data analysis tasks across various tools and industries. While both roles require SQL and data visualization skills, Mode Analytics specialists are more platform-specific, whereas Data Analysts have a wider range of tools and techniques.

What are the key skills and qualifications needed to thrive as a Mode Analytics professional, and why are they important?

To thrive as a Mode Analytics professional, you need strong analytical skills, a solid understanding of SQL and data visualization, and experience with data analysis or business intelligence, often supported by a relevant degree. Familiarity with tools such as Mode Analytics, Python or R for data manipulation, and cloud-based data warehouses is typically required. Excellent problem-solving, communication, and collaboration skills help translate data insights into actionable business strategies. These skills are crucial for effectively leveraging data to drive decision-making and deliver impactful results for organizations.
More about Mode Analytics jobs

What states have the most Mode Analytics jobs?

States with the most job openings for Mode Analytics jobs include:

Infographic showing various Mode Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.

Technical Customer Success Manager

Honeycomb.io

Remote

Full-time

Posted 17 days ago


Job description

Little more about the team:

In this Technical Customer Success Manager role, you'll be joining a growing Customer Success team and helping us to drive adoption of Honeycomb and success of our customers in their journey with Observability in our post-sale accounts.

What you'll do in the role:

  • Own the post-sales relationship for a portfolio of accounts
  • Drive value & outcomes with technical sponsors and champions
  • Develop, automate and scale customer lifecycle events including kickoff/onboarding, executive business review, new feature announcements, capacity over/under utilization and user engagement.
  • Create or adapt high-quality reusable content including trainings, talks, blog posts, white papers, demos and examples
  • Represent the customer in internal meetings with Engineering and Product Management
  • Partner with the rest of our team in East to grow our brand and business in the region
  • Keep up to date on Honeycomb technologies and product offerings

What you'll bring to the role:

  • At least 3+ years of overall work experience in the SaaS or Enterprise software industry - preferably in the Developer Tools space
  • Previous Customer Success, Technical Account Management, Sales or Customer Services experience
  • Strong organizational skills and ability to handle many simultaneous conversations in email and chats
  • Deep process orientation and willingness to test, establish and document new processes in a startup environment
  • Love of data analytics systems along with the desire and curiosity to explore and discover new information within them
  • Working knowledge of the Enterprise software subscription lifecycle and associated processes
  • Excellent written and verbal technical communication skills

Nice to Haves:

  • Use and familiarity with AI tooling (Claude, etc.) to accelerate day-to-day work.
  • Working knowledge of SQL and/or BI reporting tools and techniques (we use Mode Analytics)
  • Experience with, or understanding of the SaaS Monitoring space (any other APM, Logging or Metrics vendors)