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Mode Analytics Jobs (NOW HIRING)

Advanced expertise using Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook) and BI tools (Looker, Tableau, Sisense, Mode Analytics, Power BI). Knowledge of SQL, Python, or ERP/WMS systems ...

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 ...

Experience with BI and/or planning tools like Looker, Mode Analytics, Tableau, Pigment, Runway, or Anaplan * Familiarity with HubSpot and RevOps tooling and concepts * Exposure to sales compensation ...

Experience with BI and/or planning tools like Looker, Mode Analytics, Tableau, Pigment, Runway, or Anaplan * Familiarity with HubSpot and RevOps tooling and concepts * Exposure to sales compensation ...

Key job responsibilities - Conduct failure mode analysis (FMA) and root cause analysis on phased array PCBAs and systems to determine underlying causes of defects - Specify, procure, and establish ...

Senior HW Development Engineer, Amazon Leo

Kirkland, WA ยท On-site

$118K - $163K/yr

Key job responsibilities - Conduct failure mode analysis (FMA) and root cause analysis on phased array PCBAs and systems to determine underlying causes of defects - Specify, procure, and establish ...

EV Mode, LLC Location: Irvine, California Website: evmode.com Type: Full-Time About EV Mode, LLC EV ... Reporting & Analytics: Generate sales reports, track key performance metrics, and provide insights ...

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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 Jul 6, 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 June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Senior Manager, Analytics & Insights | United States | Remote

Senior Manager, Analytics & Insights | United States | Remote

Grafana Labs

OR โ€ข Remote

$174K - $215K/yr

Other

Posted 17 days ago


Job description

The Opportunity:

We are looking for an expert in sales and analytics who can partner deeply and efficiently across our Go-To-Market and Finance organizations to help support high-tempo, data-driven decisions. Reporting to our Director of Analytics & Insights, this role will be part of a rapidly growing Revenue Operations team focused on bringing greater predictability and insight to the business and helping define our GTM strategy. To be successful, you will be able to operate in an unstructured, fast-paced environment and look forward to building the foundations for our future growth. You will bring a solid technical foundation across a wide variety of skills used in the GTM organization to tackle critical operational and business initiatives. You are deeply curious, intensely detail-oriented, and excited by new and challenging puzzles. Your background in Sales / Financial Analytics gives you the confidence to hit the ground running to define the building blocks of a sound data and analytics practice, but you continually look to tailor your models and insights to the unique attributes of the environment. You thrive collaborating with teammates who challenge you to grow every day, and your experience has given you the balanced ability to put a hard technical problem under a microscope without losing sight of the bigger picture required to effectively communicate with executive stakeholders.

What You'll Be Doing:

  • Design reliable, accurate, powerful, and easy-to-use dashboarding, tooling, and reporting to support Sales and operational teams
  • Develop reliable, accurate data models to help define financial and business performance metrics, from source data down through user-friendly reporting layers
  • Lead cross-functional projects to develop tooling and datasets in support of the needs of operational teams; provide continuous enablement for these teams to self-serve basic data needs using what Analytics & Insights constructs
  • Optimize the information design across the GTM technology stack to enable the development of marketing, sales, and financial analytics
  • Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership.
  • Manage urgent ad-hoc data analysis and QA support requests

What Makes You a Great Fit:

  • Experience in a Sales or GTM organization, and familiar with common sales models like rep productivity, rep capacity, campaign influence, and quota modeling
  • 5+ years of SQL experience: writing complex yet efficient SQL is a daily habit for you
  • 3+ years of data visualization experience with one of the following tools: Tableau, Looker, Mode Analytics, Sisense
  • Experience getting your hands dirty performing production-ready, user-focused data model development / building ETLs; familiarity with popular data warehouses (BigQuery, Snowflake, etc.)
  • Experience with the following: Salesforce, BigQuery, dbt, NetSuite
  • Excellent communication skills with senior management audiences- explain "what it is", "why it matters", and "what should we do" in terms of your data and analysis; deliver user-oriented datasets, KPIs, dashboards, and runbooks to ensure alignment with those audiences
  • Previous experience with Grafana visualization, or a desire to invest the time to learn

Bonus Points For:

  • Knowledge of financial metrics, revenue recognition
  • 3+ years of production data model development
  • 1+ years of Python / Spark / Scala - familiar with statistical and machine learning packages, as well as generating ad-hoc ETL jobs
  • Project management experience
  • Experience with documentation of datasets and tooling for MCP server ingestion, construction of AI skills and plugins
  • Experience as a user of any of the following tools: Jira, Asana, Databricks, GitHub, Hightouch, Fivetran
Compensation and Rewards:

In the United States, the OTE compensation range for this role is $174,000 - $215,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes-RSUs help us stay aligned and invested as we scale globally.