• Build, document, and maintain scalable operations processes that support Sales, Marketing, Accounting, and Tax teams. • Improve how we use Salesforce Sales Cloud, Marketing Cloud, and related GTM/marketing automation tools to support lead generation, nurture, campaign workflows, and automation for sales development. • Partner closely with Marketing to operationalize campaigns (list builds, audience segmentation, lead scoring, and routing) and ensure clean handoffs to Sales. • Support Salesforce administration (workflows, configuration, and integrations) to improve data quality and efficiency. • Maintain clear documentation for sales and marketing processes, workflows, and data definitions. • Ensure accurate, consistent data across Salesforce and connected systems for outreach, reporting, and analysis. • Analyze inbound and outbound funnels to identify bottlenecks, improve conversion rates, and uncover growth opportunities. • Build and maintain reports and dashboards that show key performance metrics and pipeline health. • Help refine pipeline and revenue forecasting models and measure marketing campaign performance and attribution. • Regularly review workflows, processes, and automation to simplify, standardize, and scale. • Contribute to special projects that enhance our sales and marketing operations function (e.g., territory design, quota support, sales compensation analysis). • Stay up to date on sales and marketing operations trends and suggest new tools, processes, and analytics.

About Us: Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. The Role: We're seeking a curious and motivated Marketing Analytics Intern to join our dynamic Growth Engine team. This role will focus on understanding and optimizing marketing channel efficiency and analyzing the complete user lifecycle. You will assist in developing frameworks to track and measure marketing effectiveness, ensuring a holistic view of our user base. This role involves leveraging various analytics tools and techniques to dive into user growth, user behavior patterns, the user journey, user retention, and marketing attribution. The ideal candidate has a strong analytical foundation, a passion for marketing analytics, and can thrive in a proactive, results-driven, fast-paced environment. Your work will directly support our marketing strategies, campaign optimization, and customer acquisition efforts. Key Responsibilities: - Marketing Attribution & User Journey: Assist in developing and maintaining frameworks to attribute marketing efforts and track customer journeys, user growth, and retention across various channels. - Data Analysis: Analyze marketing and user behavior data to identify trends, insights, patterns, and areas for improvement. - Tracking & Reporting: Support the management of tracking systems and help generate comprehensive reports on marketing performance and user retention. - Cross-Functional Collaboration: Work closely with marketing, product, and data teams to align analytics efforts with overall business growth goals. - Performance Optimization: Provide data-backed recommendations for marketing timing, channel optimization, and user engagement. - Campaign Reporting: Help deliver detailed reporting on campaign effectiveness, organic/paid channel performance, and key metrics. - Industry Trends: Stay up-to-date on industry best practices and emerging marketing analytics techniques. Key Competencies: - Technical Skills: - Marketing Analytics: Foundational knowledge of marketing attribution, the user journey, and data analysis. - Data Management: Capable of working with data sets and ensuring data accuracy. - Programming & Tools: Familiarity with Python/R and SQL for data analysis and optimization workflows. - Business Intelligence: Exposure to business intelligence data visualization software, such as Tableau, Power BI, or Sigma. - Interpersonal Skills: - Collaboration: Ability to work cross-functionally with various teams to achieve business goals. - Communication: Clear and effective communication skills for presenting data findings. - Problem Solving: - Analytical Thinking: Demonstrates strong critical thinking and a data-first approach to solving problems. - Proactive: Embodies a proactive and “Always be Curious” mindset when exploring data. Minimum Qualifications: - Education: Currently pursuing a Bachelor’s or Master's degree in Data Science, Mathematics, Statistics, Computer Science, Marketing Analytics, or a related field. - Experience: Previous internship, coursework, or project experience in marketing analytics, data analysis, or a similar domain. Broad understanding of marketing channels is a plus. - Tools: Proficiency in SQL and familiarity with Python/R for data analysis. Experience with data visualization tools (e.g., Tableau, Power BI, Sigma). - Knowledge: Basic understanding of UTM parameters, marketing tags, and attribution concepts. Preferred Qualifications: - Prior exposure to or interest in mobile measurement solutions (e.g., SKAdNetwork/SKAN). - Strong academic foundation in statistics, with an understanding of A/B testing, performance metrics, and predictive analytics. At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $25—$30 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

About the Role We have built the engine (Snowflake, Sigma, Marketing Automation Platforms), and now we need you to drive the strategic analysis. Abnormal Security is looking for a Lead Marketing Data Analyst who is part detective, part data architect, and part business consultant. In this role, you will own the system, the signal, and the initial theories regarding performance anomalies. You will not just report numbers; you will uncover the "Why" behind our performance. You will partner with our BI Architects and Revenue Marketing leaders to diagnose funnel friction, pioneer our shift from static dashboards to AI-driven "Ask Anything" agentic analytics, and ensure optimal capital allocation. Crucially, you will provide first-pass diagnoses of data trends so our GTM Strategy & Analytics team can make swift, validated business decisions. What you will do Strategic Insights & Root Cause Analysis - Go beyond "what happened" to uncover "why it happened" by proactively identifying trends in campaign performance, pipeline velocity, and conversion rates. - Own the "First Pass" diagnosis: Identify material variances and provide initial possible theories (e.g., ICP mismatch, routing error, or underperformance of expected MQL results). - Quantify the impact of these trends and propose possible corrective actions (The Math + The Logic) to hand off to GTM Strategy for fiscal validation and final decision (The Business + The Budget). - Partner with the Field, Digital, Strategic Events, Integrated Campaigns & Channel Marketing teams to optimize territory-based performance using the new Multi-Touch Attribution (MTA) models. Data Integrity, Funnel Science & Day-to-Day Operations - Maintain reporting hygiene, standard funnel conversion metrics, and recurring dashboards while monitoring performance versus plan. - Act as the "Check Engine Light" for the GTM engine by monitoring data flows between Marketo, Salesforce, 6Sense, and Snowflake to identify silent failures or data quality erosion. - Analyze the "Golden Path" to revenue to determine the optimal mix of touches (digital, event, human) that accelerates a prospect from "Engaged" to "Closed Won". - Validate the output of our AI Agents (e.g., Account Matching, Email Personalization) to ensure automated decisions are accurate. Architecting and Maintaining the "AI Analyst" - Lead the transition from static reporting to dynamic, AI-driven insights by building and training AI agents to automate L1/L2 data questions. - Build and maintain the semantic layer in Sigma/Snowflake that powers our "Ask Anything" capability, ensuring the AI understands our complex B2B business logic (Buying Stages, 6QA, Deal DNA). - Apply your deep understanding of business logic to train the "Ask Anything" AI Agent so it effectively thinks like a strategist. - Design "agents, data structures and functionality" that not only answer questions but suggest the next logical question to the user. Stakeholder Partnership - Serve as the primary data consultant for the Revenue Marketing leadership team. - Translate complex data sets into clear, executive-ready narratives, presenting initial points of view to tee up solutions for strategy validation. - Mentor junior team members and educate the broader marketing org on data literacy and self-serve tools. - Own the end-of-quarter MBO target attainment reporting for the Revenue Marketing team (excluding SDRs). - Partner closely with Strategy & Analytics (who set the targets), Revenue Marketing Leadership, and the FP&A team to validate performance data and ensure accurate, data-backed alignment on bonus payouts. Must Haves - Experience: 7+ years in Marketing Analytics, BizOps, or Data Science within B2B SaaS. - The “Senior Strategic Partner" Factor: Proven ability to influence executive decisions through data. You don't just supply data; you change minds by exercising "Business Judgment," not just "Data Retrieval". - Technical Stack: Expert-level SQL, deep knowledge of Agent Development, Snowflake / Sigma or similar. Deep proficiency with modern cloud data warehouses (Snowflake) and BI tools (Sigma is a strong plus). - Business Acumen: Deep understanding of B2B Marketing and Pipeline funnels (MQL to Closed Won), Attribution models (Multi Touch is a plus), and ABM metrics (6Sense/Demandbase). - Data Science (nice to have): Basic experience and knowledge in building ML based models that can feed context to our agents. - AI Curiosity: Experience or strong interest in configuring AI-driven analytics tools, LLMs for data analysis, or semantic data modeling. - The "Detective" Mindset: You are uncomfortable when the numbers don't make sense and won't stop digging until you find the root cause. Nice to Have - MS degree in Computer Science, Data Science or related field - Experience with algorithms and optimization - Experience working in B2B marketing analytics (especially in cybersecurity) #LI-MC2 At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. Base salary range: $136,000—$160,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

• Function as analytics partner for a marketing team, building and scaling marketing reporting capabilities. These include sizing opportunities, establishing consistent tracking, KPIs, and dashboards, plus developing insights into campaign impact on milestones across the customer journey • Automate operating review deliverables to drive source of truth consistency and reduce cycle time • Enable key stakeholders on insights produced and provide data-driven recommendations to improve marketing efficiency, insights and impact • Continue evolving our analytical capabilities through partnership with Data Engineering to influence roadmap and development of datasets