Insights Analyst

Summary

Knotch is a growth-stage technology company that helps brands optimize content performance and modern marketing through analytics and AI. The Insights Analyst will analyze web, journey, and survey data, translate findings into actionable client recommendations, and collaborate with account teams to support enterprise client outcomes.

Responsibilities

• Analyze complex data from web analytics, journey analytics, and survey platforms (qualitative + quantitative data) to uncover meaningful patterns and insights
• Translate data into stories that connect technical findings to client business goals and desired outcomes in language stakeholders understand
• Develop test-and-learn plans based on insights to help clients optimize their content and marketing strategies
• Collaborate with account teams to tailor reports, insights, and recommendations to each client team's objectives and context
• Support client needs as needed to help your Knotch Pod communicate findings and answer technical questions
• Ensure data quality and rigor by maintaining high standards for data cleanliness, accuracy, and statistical validity
• Challenge assumptions by questioning data anomalies and digging deeper to uncover the "why" behind the numbers
• Visualize insights through compelling dashboards, reports, and presentations that make complex data accessible

Skills

• * 3-10 years of experience in data analysis, business intelligence, or analytics within marketing, digital analytics, or SaaS environments
• * Prior startup or growth-stage company experience working in fast-paced, agile environments
• * SaaS platform experience understanding subscription business models and recurring customer relationships
• * Google Analytics and Adobe Analytics—deep expertise with at least one, proficiency with both preferred
• * Data visualization tools like Tableau or Power BI to create clear, impactful reports
• * Excel/Google Sheets mastery for data manipulation, analysis, and quality control
• * SEO knowledge to interpret organic search performance and content discoverability metrics
• * Data analytics platforms such as Optimizely, Contentsquare, or Amplitude
• * Journey analytics platforms
• * Survey tools and platforms
• * SQL for advanced data querying and analysis
• * AI experience utilizing AI to code or create analysis
• * Knowledge of GEO (Generative Engine Optimization)
• * Data science methodologies
• * A/B testing and UX design/testing experience
• * Ability to translate data points into a cohesive story— you take scattered insights across qualitative and quantitative data and weave them into narratives that drive action
• * Experimental rigor and data cleanliness—you maintain the highest standards for accuracy and don't tolerate messy data or unvalidated conclusions
• * Precision and attention to detail—you catch errors others miss and ensure every number tells the truth
• * Time management skills to juggle multiple client projects simultaneously without sacrificing quality
• * Presentation ability and data storytelling—you communicate complex findings in ways non-technical stakeholders understand
• * Proactive attitude and collaborative mindset—you work well within teams and take ownership of outcomes
• * Curiosity—you're naturally inquisitive and driven to understand the "why" behind the data
• * Commercial awareness—you understand how insights connect to business outcomes and revenue
• * Strategic ability and foresight—you can anticipate implications and think several steps ahead
• * Voice your opinions—how can we make the analysis, product, strategy better for our clients based on the analysis that you're doing?
• * Degree in Data Science, Statistics, Business Analytics, or Marketing (or equivalent experience)
• * Multiple analytics platform certifications
• * Eastern Time Zone location for easier collaboration with team and clients

Qualifications

Must Haves

• * 3-10 years of experience in data analysis, business intelligence, or analytics within marketing, digital analytics, or SaaS environments
• * Prior startup or growth-stage company experience working in fast-paced, agile environments
• * SaaS platform experience understanding subscription business models and recurring customer relationships
• * Google Analytics and Adobe Analytics—deep expertise with at least one, proficiency with both preferred
• * Data visualization tools like Tableau or Power BI to create clear, impactful reports
• * Excel/Google Sheets mastery for data manipulation, analysis, and quality control
• * SEO knowledge to interpret organic search performance and content discoverability metrics
• * Data analytics platforms such as Optimizely, Contentsquare, or Amplitude
• * Journey analytics platforms
• * Survey tools and platforms
• * SQL for advanced data querying and analysis
• * AI experience utilizing AI to code or create analysis
• * Knowledge of GEO (Generative Engine Optimization)
• * Data science methodologies
• * A/B testing and UX design/testing experience
• * Ability to translate data points into a cohesive story— you take scattered insights across qualitative and quantitative data and weave them into narratives that drive action
• * Experimental rigor and data cleanliness—you maintain the highest standards for accuracy and don't tolerate messy data or unvalidated conclusions
• * Precision and attention to detail—you catch errors others miss and ensure every number tells the truth
• * Time management skills to juggle multiple client projects simultaneously without sacrificing quality
• * Presentation ability and data storytelling—you communicate complex findings in ways non-technical stakeholders understand
• * Proactive attitude and collaborative mindset—you work well within teams and take ownership of outcomes
• * Curiosity—you're naturally inquisitive and driven to understand the "why" behind the data
• * Commercial awareness—you understand how insights connect to business outcomes and revenue
• * Strategic ability and foresight—you can anticipate implications and think several steps ahead
• * Voice your opinions—how can we make the analysis, product, strategy better for our clients based on the analysis that you're doing?

Nice to Haves

• * Degree in Data Science, Statistics, Business Analytics, or Marketing (or equivalent experience)
• * Multiple analytics platform certifications
• * Eastern Time Zone location for easier collaboration with team and clients

Benefits

• Fully remote work; candidates may work from anywhere in the U.S. or Canada, Eastern time zone preferred
• Comprehensive medical, dental, and vision insurance eligibility
• 401(k) plan
• Unlimited PTO
• 10+ company-paid holidays
• A daily company-wide break