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Snap Inc logo

Sr. Specialist, Business Intelligence Engineer, SMC, Level 4

Snap Inc

Sr. Specialist, Business Intelligence Engineer, SMC, Level 4

Snap Inc logo

Snap Inc

full-time

Posted: November 19, 2025

Number of Vacancies: 1

Job Description

Sr. Specialist, Business Intelligence Engineer, SMC, Level 4

Location: Los Angeles, Canada | Palo Alto, United States

Department: Sales

Employment Type: Full time

About Snap Inc

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

About the Role

Snap Inc is a camera company at its core, believing that the camera—and AR innovation—holds the greatest potential to transform how people live, express themselves, and connect in the moment. Our products like Snapchat, Lens Studio, and Spectacles empower creativity and fun through visual storytelling. Join Team Snapchat as a Sr. Specialist, Business Intelligence Engineer, SMC (Level 4) in our Sales department, where you'll harness data to fuel advertiser success on our dynamic AR-powered platform. In this role, you'll dive into auction campaign performance, uncover trends using Snap's rich camera and AR datasets, and deliver insights that optimize revenue and enhance client outcomes in a creative, fast-paced culture. You'll collaborate with Account Management and cross-functional teams to build measurement strategies, provide real-time analysis for campaigns, and evangelize data-driven best practices. By distilling complex signals from multiple sources into compelling stories, you'll influence leadership decisions, proactively scope revenue projects, and act as a thought leader on industry trends—tailored to Snap's unique advertiser ecosystem. Build intuitive dashboards that spotlight advertiser performance through a client-centric AR lens, and partner on alpha/beta product feedback to shape our innovative tools. We're seeking a data-driven collaborator with 5+ years in quantitative analysis, proficient in SQL, Python/R, and big data. Thrive in our agile environment by grasping business challenges, designing scalable solutions, and presenting insights to diverse audiences. Snap's 'Default Together' policy means working in-office 4+ days/week to spark dynamic collaboration in our creative culture. We celebrate diverse backgrounds and are an equal opportunity employer (EOE, including disability/vets). Compensation: Zone A (CA, WA, NYC) $130,000-$196,000; Zone B $124,000-$186,000; Zone C $111,000-$167,000 (plus RSUs, negotiable based on experience/location).

What You'll Do

  • Understand business challenges and empower leadership with data-driven decisions by analyzing and combining data from multiple sources
  • Identify performance trends across auction campaigns to provide optimization recommendations and evangelize best practices to account management
  • Use data and logic to drive client and business success through analysis, insights, reports, and actionable recommendations
  • Partner with cross-functional teams to develop measurement strategies, deliver insights on alpha/beta products, and provide feedback on data tools
  • Distill complex analytical concepts into compelling data stories that influence decision-making across audiences
  • Build and maintain dashboards and reports to optimize advertiser performance and product development through a client-centric lens
  • Proactively identify revenue-impacting projects, define scope, and propose actionable plans
  • Provide real-time analysis for auction campaigns in collaboration with Account Management to drive upsell opportunities
  • Act as a thought leader by offering insights on vertical or category industry trends to strengthen Snap’s market pitches
  • Leverage Snap’s camera and AR innovations to uncover unique insights that enhance advertiser engagement on Snapchat

Minimum Qualifications

  • Bachelor’s degree in computer science, economics, mathematics, or equivalent practical experience
  • 5+ years of experience in quantitative analysis and research
  • Proficiency in SQL for data querying and analysis
  • Proficiency in Python and/or R for data analysis and visualization
  • Experience analyzing large datasets to derive actionable insights
  • Demonstrated ability to present complex data to technical and non-technical audiences
  • Strong understanding of business challenges in a fast-paced tech environment

Preferred Qualifications

  • Experience in ad tech, auction dynamics, or performance marketing
  • Background in AR, camera technology, or social media analytics
  • Proven track record of influencing business decisions through data storytelling
  • Familiarity with big data tools and scalable data solutions
  • Knowledge of industry trends in verticals relevant to Snap's advertiser ecosystem

Knowledge, Skills & Abilities

  • SQL proficiency
  • Python or R for analysis
  • Data visualization (e.g., Tableau, Looker)
  • Quantitative analysis
  • Big data handling
  • Dashboard building
  • Data storytelling
  • Auction campaign analysis
  • Cross-functional collaboration
  • Analytical mindset
  • Attention to detail
  • Agile environment adaptability
  • Business acumen
  • Influence and communication
  • Problem-solving
  • Scalable solution design
  • Trend identification
  • Client-centric thinking

Our Benefits

  • Paid parental leave
  • Comprehensive medical, dental, and vision coverage
  • Emotional and mental health support programs
  • Competitive compensation packages with equity in the form of RSUs
  • 401(k) matching and financial wellness resources
  • Flexible paid time off and wellness stipends
  • Onsite fitness centers and catered meals at Snap offices
  • Professional development opportunities and learning stipends

Compensation

$130,000-$196,000 annually

This position is eligible for equity in the form of RSUs.

"Default Together" Policy: At Snap Inc, we practice a "default together" approach and expect team members to work in an office 4+ days per week.

Snap is proud to be an equal opportunity employer.

Locations

  • Los Angeles, Canada
  • Palo Alto, United States

Salary

130,000 - 196,000 USD / yearly

Skills Required

  • SQL proficiencyintermediate
  • Python or R for analysisintermediate
  • Data visualization (e.g., Tableau, Looker)intermediate
  • Quantitative analysisintermediate
  • Big data handlingintermediate
  • Dashboard buildingintermediate
  • Data storytellingintermediate
  • Auction campaign analysisintermediate
  • Cross-functional collaborationintermediate
  • Analytical mindsetintermediate
  • Attention to detailintermediate
  • Agile environment adaptabilityintermediate
  • Business acumenintermediate
  • Influence and communicationintermediate
  • Problem-solvingintermediate
  • Scalable solution designintermediate
  • Trend identificationintermediate
  • Client-centric thinkingintermediate

Required Qualifications

  • Bachelor’s degree in computer science, economics, mathematics, or equivalent practical experience (experience)
  • 5+ years of experience in quantitative analysis and research (experience)
  • Proficiency in SQL for data querying and analysis (experience)
  • Proficiency in Python and/or R for data analysis and visualization (experience)
  • Experience analyzing large datasets to derive actionable insights (experience)
  • Demonstrated ability to present complex data to technical and non-technical audiences (experience)
  • Strong understanding of business challenges in a fast-paced tech environment (experience)

Preferred Qualifications

  • Experience in ad tech, auction dynamics, or performance marketing (experience)
  • Background in AR, camera technology, or social media analytics (experience)
  • Proven track record of influencing business decisions through data storytelling (experience)
  • Familiarity with big data tools and scalable data solutions (experience)
  • Knowledge of industry trends in verticals relevant to Snap's advertiser ecosystem (experience)

Responsibilities

  • Understand business challenges and empower leadership with data-driven decisions by analyzing and combining data from multiple sources
  • Identify performance trends across auction campaigns to provide optimization recommendations and evangelize best practices to account management
  • Use data and logic to drive client and business success through analysis, insights, reports, and actionable recommendations
  • Partner with cross-functional teams to develop measurement strategies, deliver insights on alpha/beta products, and provide feedback on data tools
  • Distill complex analytical concepts into compelling data stories that influence decision-making across audiences
  • Build and maintain dashboards and reports to optimize advertiser performance and product development through a client-centric lens
  • Proactively identify revenue-impacting projects, define scope, and propose actionable plans
  • Provide real-time analysis for auction campaigns in collaboration with Account Management to drive upsell opportunities
  • Act as a thought leader by offering insights on vertical or category industry trends to strengthen Snap’s market pitches
  • Leverage Snap’s camera and AR innovations to uncover unique insights that enhance advertiser engagement on Snapchat

Benefits

  • general: Paid parental leave
  • general: Comprehensive medical, dental, and vision coverage
  • general: Emotional and mental health support programs
  • general: Competitive compensation packages with equity in the form of RSUs
  • general: 401(k) matching and financial wellness resources
  • general: Flexible paid time off and wellness stipends
  • general: Onsite fitness centers and catered meals at Snap offices
  • general: Professional development opportunities and learning stipends

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Snap IncSnapchatSocial MediaARSalesLos AngelesCanadaSales

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Snap Inc logo

Sr. Specialist, Business Intelligence Engineer, SMC, Level 4

Snap Inc

Sr. Specialist, Business Intelligence Engineer, SMC, Level 4

Snap Inc logo

Snap Inc

full-time

Posted: November 19, 2025

Number of Vacancies: 1

Job Description

Sr. Specialist, Business Intelligence Engineer, SMC, Level 4

Location: Los Angeles, Canada | Palo Alto, United States

Department: Sales

Employment Type: Full time

About Snap Inc

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

About the Role

Snap Inc is a camera company at its core, believing that the camera—and AR innovation—holds the greatest potential to transform how people live, express themselves, and connect in the moment. Our products like Snapchat, Lens Studio, and Spectacles empower creativity and fun through visual storytelling. Join Team Snapchat as a Sr. Specialist, Business Intelligence Engineer, SMC (Level 4) in our Sales department, where you'll harness data to fuel advertiser success on our dynamic AR-powered platform. In this role, you'll dive into auction campaign performance, uncover trends using Snap's rich camera and AR datasets, and deliver insights that optimize revenue and enhance client outcomes in a creative, fast-paced culture. You'll collaborate with Account Management and cross-functional teams to build measurement strategies, provide real-time analysis for campaigns, and evangelize data-driven best practices. By distilling complex signals from multiple sources into compelling stories, you'll influence leadership decisions, proactively scope revenue projects, and act as a thought leader on industry trends—tailored to Snap's unique advertiser ecosystem. Build intuitive dashboards that spotlight advertiser performance through a client-centric AR lens, and partner on alpha/beta product feedback to shape our innovative tools. We're seeking a data-driven collaborator with 5+ years in quantitative analysis, proficient in SQL, Python/R, and big data. Thrive in our agile environment by grasping business challenges, designing scalable solutions, and presenting insights to diverse audiences. Snap's 'Default Together' policy means working in-office 4+ days/week to spark dynamic collaboration in our creative culture. We celebrate diverse backgrounds and are an equal opportunity employer (EOE, including disability/vets). Compensation: Zone A (CA, WA, NYC) $130,000-$196,000; Zone B $124,000-$186,000; Zone C $111,000-$167,000 (plus RSUs, negotiable based on experience/location).

What You'll Do

  • Understand business challenges and empower leadership with data-driven decisions by analyzing and combining data from multiple sources
  • Identify performance trends across auction campaigns to provide optimization recommendations and evangelize best practices to account management
  • Use data and logic to drive client and business success through analysis, insights, reports, and actionable recommendations
  • Partner with cross-functional teams to develop measurement strategies, deliver insights on alpha/beta products, and provide feedback on data tools
  • Distill complex analytical concepts into compelling data stories that influence decision-making across audiences
  • Build and maintain dashboards and reports to optimize advertiser performance and product development through a client-centric lens
  • Proactively identify revenue-impacting projects, define scope, and propose actionable plans
  • Provide real-time analysis for auction campaigns in collaboration with Account Management to drive upsell opportunities
  • Act as a thought leader by offering insights on vertical or category industry trends to strengthen Snap’s market pitches
  • Leverage Snap’s camera and AR innovations to uncover unique insights that enhance advertiser engagement on Snapchat

Minimum Qualifications

  • Bachelor’s degree in computer science, economics, mathematics, or equivalent practical experience
  • 5+ years of experience in quantitative analysis and research
  • Proficiency in SQL for data querying and analysis
  • Proficiency in Python and/or R for data analysis and visualization
  • Experience analyzing large datasets to derive actionable insights
  • Demonstrated ability to present complex data to technical and non-technical audiences
  • Strong understanding of business challenges in a fast-paced tech environment

Preferred Qualifications

  • Experience in ad tech, auction dynamics, or performance marketing
  • Background in AR, camera technology, or social media analytics
  • Proven track record of influencing business decisions through data storytelling
  • Familiarity with big data tools and scalable data solutions
  • Knowledge of industry trends in verticals relevant to Snap's advertiser ecosystem

Knowledge, Skills & Abilities

  • SQL proficiency
  • Python or R for analysis
  • Data visualization (e.g., Tableau, Looker)
  • Quantitative analysis
  • Big data handling
  • Dashboard building
  • Data storytelling
  • Auction campaign analysis
  • Cross-functional collaboration
  • Analytical mindset
  • Attention to detail
  • Agile environment adaptability
  • Business acumen
  • Influence and communication
  • Problem-solving
  • Scalable solution design
  • Trend identification
  • Client-centric thinking

Our Benefits

  • Paid parental leave
  • Comprehensive medical, dental, and vision coverage
  • Emotional and mental health support programs
  • Competitive compensation packages with equity in the form of RSUs
  • 401(k) matching and financial wellness resources
  • Flexible paid time off and wellness stipends
  • Onsite fitness centers and catered meals at Snap offices
  • Professional development opportunities and learning stipends

Compensation

$130,000-$196,000 annually

This position is eligible for equity in the form of RSUs.

"Default Together" Policy: At Snap Inc, we practice a "default together" approach and expect team members to work in an office 4+ days per week.

Snap is proud to be an equal opportunity employer.

Locations

  • Los Angeles, Canada
  • Palo Alto, United States

Salary

130,000 - 196,000 USD / yearly

Skills Required

  • SQL proficiencyintermediate
  • Python or R for analysisintermediate
  • Data visualization (e.g., Tableau, Looker)intermediate
  • Quantitative analysisintermediate
  • Big data handlingintermediate
  • Dashboard buildingintermediate
  • Data storytellingintermediate
  • Auction campaign analysisintermediate
  • Cross-functional collaborationintermediate
  • Analytical mindsetintermediate
  • Attention to detailintermediate
  • Agile environment adaptabilityintermediate
  • Business acumenintermediate
  • Influence and communicationintermediate
  • Problem-solvingintermediate
  • Scalable solution designintermediate
  • Trend identificationintermediate
  • Client-centric thinkingintermediate

Required Qualifications

  • Bachelor’s degree in computer science, economics, mathematics, or equivalent practical experience (experience)
  • 5+ years of experience in quantitative analysis and research (experience)
  • Proficiency in SQL for data querying and analysis (experience)
  • Proficiency in Python and/or R for data analysis and visualization (experience)
  • Experience analyzing large datasets to derive actionable insights (experience)
  • Demonstrated ability to present complex data to technical and non-technical audiences (experience)
  • Strong understanding of business challenges in a fast-paced tech environment (experience)

Preferred Qualifications

  • Experience in ad tech, auction dynamics, or performance marketing (experience)
  • Background in AR, camera technology, or social media analytics (experience)
  • Proven track record of influencing business decisions through data storytelling (experience)
  • Familiarity with big data tools and scalable data solutions (experience)
  • Knowledge of industry trends in verticals relevant to Snap's advertiser ecosystem (experience)

Responsibilities

  • Understand business challenges and empower leadership with data-driven decisions by analyzing and combining data from multiple sources
  • Identify performance trends across auction campaigns to provide optimization recommendations and evangelize best practices to account management
  • Use data and logic to drive client and business success through analysis, insights, reports, and actionable recommendations
  • Partner with cross-functional teams to develop measurement strategies, deliver insights on alpha/beta products, and provide feedback on data tools
  • Distill complex analytical concepts into compelling data stories that influence decision-making across audiences
  • Build and maintain dashboards and reports to optimize advertiser performance and product development through a client-centric lens
  • Proactively identify revenue-impacting projects, define scope, and propose actionable plans
  • Provide real-time analysis for auction campaigns in collaboration with Account Management to drive upsell opportunities
  • Act as a thought leader by offering insights on vertical or category industry trends to strengthen Snap’s market pitches
  • Leverage Snap’s camera and AR innovations to uncover unique insights that enhance advertiser engagement on Snapchat

Benefits

  • general: Paid parental leave
  • general: Comprehensive medical, dental, and vision coverage
  • general: Emotional and mental health support programs
  • general: Competitive compensation packages with equity in the form of RSUs
  • general: 401(k) matching and financial wellness resources
  • general: Flexible paid time off and wellness stipends
  • general: Onsite fitness centers and catered meals at Snap offices
  • general: Professional development opportunities and learning stipends

Target Your Resume for "Sr. Specialist, Business Intelligence Engineer, SMC, Level 4" , Snap Inc

Get personalized recommendations to optimize your resume specifically for Sr. Specialist, Business Intelligence Engineer, SMC, Level 4. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Sr. Specialist, Business Intelligence Engineer, SMC, Level 4" , Snap Inc

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Snap IncSnapchatSocial MediaARSalesLos AngelesCanadaSales

Related Jobs You May Like

No related jobs found at the moment.