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Mode Analytics Jobs (NOW HIRING)

Specter

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 ...

Generac

Global Transportation Mode Manager

Waukesha, WI · On-site

The Transportation Mode Manager oversees all activities associated with transportation in the mode ... Experience in logistics analysis ESSENTIAL DUTIES: * Provide Logistics expertise and support on ...

SKIMS

Senior Manager, Operations Analyst

Los Angeles, CA · On-site

$140K - $160K/yr

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 ...

Mode Branding

Customer Support Analyst

Washington, DC · On-site

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 ...

Grand River Dam Authority

Dam Safety Analyst

Tulsa, OK · On-site

Participate in and conduct failure mode analyses specific to hydroelectric systems, evaluating risks such as turbine malfunctions, penstock ruptures, and structural instability. * Use available ...

Grda

Dam Safety Analyst

Locust Grove, OK

Participate in and conduct failure mode analyses specific to hydroelectric systems, evaluating risks such as turbine malfunctions, penstock ruptures, and structural instability. * Use available ...

Grda

Dam Safety Analyst

Tulsa, OK

Participate in and conduct failure mode analyses specific to hydroelectric systems, evaluating risks such as turbine malfunctions, penstock ruptures, and structural instability. * Use available ...

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All JobsMode Analytics Jobs

Mode Analytics information

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$60.5K

$123.8K

$175K

How much do mode analytics jobs pay per year?

As of Jul 26, 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:
What job categories do people searching Mode Analytics jobs look for? The top searched job categories for Mode Analytics jobs are:
Mode Analytics jobs near you
Infographic showing various Mode Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Senior Manager, Operations Analytics

Senior Manager, Operations Analytics

SKIMS

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Skims rating

7.5

Company rating: 7.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.
At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.
As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets.
We are seeking a talented Senior Manager of Operations Analytics to join our dynamic team at SKIMS. The Senior Manager of Operations Analytics will play a pivotal role in analyzing costs and inventory levels across all SKIMS business channels. 
This role will manage a broad range of operations and logistics projects. It will work closely with internal partners including FP&A, Accounting, Tech, and Planning to drive strategic decisions and identify opportunities for cost savings and performance improvements. It will collaborate with external providers and accounting to track/analyze invoicing, timely payments and meeting of contract agreements. It drives business performance and efficiency by transforming complex data into actionable operational and strategic recommendations. It's expected to identify inefficiencies, oversee KPI reporting, develop financial models, and bridge the gap between technical teams and executive leadership to scale business processes.
  • Assist with the preparation of monthly business close process and reporting
  • Partner with Operation and Logistics for expense analysis and control
  • Ensure appropriate budget variances are captured as needed. Identify and communicate all risks and opportunities
  • Collaborate with FP&A and Accounting teams to develop and maintain robust financial reporting mechanisms, including KPIs, budget analysis, monthly warehouse and transportation spend analysis, and contractual spend commitment tracking
  • Partner with the Tech department to facilitate the development of Operations reports in NetSuite
  • Collaborate with the Data Analytics team to ensure the database is updated with relevant operational data points and leverage the data to generate actionable insights in MBR/QBR reporting
  • Analyze shipping cost and performance metrics to identify opportunities for savings and operational efficiencies
  • Identify positive and negative trends, develop suggestions to drive support or countermeasure action
  • Develop and implement strategies to optimize inventory positioning in the 3PL network
  • Present findings and recommendations to upper management on the implementation of operational improvements
  • Ability to learn, apply, and implement new reporting, analytics, and automation technologies
  • Create KPIs and dash-boarding to drive business decisions by analytics. Implement exception management to focus on problem resolution for key inefficient drivers
  • Ensures accuracy and integrity for reporting
  • Performs other duties as assigned
  • Minimum of bachelor's degree in business administration, Supply Chain management, Finance, Economics, Data Analytics, or a related field
  • A minimum of 5 years' experience in operations and data analytics
  • Excellent analytical skills coupled with strong problem-solving, project management, and presentation skills
  • Experience working with 3PL providers and conducting cost analyzation/management
  • Excellent verbal and written communication skills and ability to effectively communicate about complex issues with upper management
  • Ability to make strategic recommendations based on data and best practices
  • 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 is highly desirable
Benefits and Culture
  • Up to 100% Company Paid Healthcare (medical, dental, vision)
  • Kind Body Fertility Benefits 
  • 401(k) savings plan with up to 4% match
  • Unlimited PTO 
  • Full Access to LinkedIn learning
  • Employee Discounts 
Perks (HQ Location)
  • Free weekly catered lunch at HQ - M/T/W/Th
  • Dog-Friendly office on a Thursday and Friday
  • Free Swag Giveaways 
  • Annual Holiday Party
  • Annual Summer Party 
  • Invitations to pop-ups and other company events 
  • Complimentary daily office snacks and beverages

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