--- title: 'Senior CRM Data Analyst at Massive Rocket' canonical: 'https://feeny.ai/job/senior-crm-data-analyst-massive-rocket-in-latin-61wvjazmyj9b' type: 'job' last_seen: '2026-11-12' --- # Senior CRM Data Analyst at Massive Rocket - **Company:** Massive Rocket - **Location:** IN Latin, United States - **Employment:** contract - **Work type:** remote - **Posted:** 2026-11-12 - **Last confirmed live:** 2026-11-12 - **Apply:** https://jobs.lever.co/massive-rocket/bf0847ef-7c95-4b5e-936b-9ba47e5631f6 ## Job description Who Are Massive Rocket? Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here. Every role at Massive Rocket is entrepreneurial. The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners. We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact. Who Are We Looking to Add to Our Team? As a Senior CRM Data Analyst at Massive Rocket, you’ll be the single, hands-on owner of analytics for your client accounts. You’ll take a request from the client’s first message all the way to a readout without supervision, and your insights, outcomes reporting and strategic perspective will be something both our CRM team and our clients can trust. You’ll be part of our data team and work inside a CRM pod, where the pod’s Lead Consultant sets day-to-day priorities. You’ll partner closely with the Lead and Senior Consultants on the account, Account Management and Project Management, as well as the client’s marketing, loyalty and data teams. Your focus is analysis, insight and reporting rather than Braze builds, campaign execution or data engineering. You’ll thrive here if you care about every number being right, can turn analysis into recommendations people can act on, and know when a request fits the agreed hours and when it needs scoping as a project. What Will You Do? - Own the analytics workstream on your accounts, running request intake and prioritisation within the agreed hours and flagging early when a request is project-sized - Act as the client’s go-to contact for data questions, testing whether each question is framed fairly before you run the analysis - Write production-quality SQL in the client’s warehouse (Snowflake, Databricks or similar) and develop the transformation logic behind your analysis - Trace data lineage, fix gaps in existing reports, SQL and data events, and reconcile metrics across systems, including the client’s analytics tool (Amplitude, GA4) - Run cohort, behavioural and decomposition analysis on transaction and loyalty data, covering first vs repeat purchase, ATV, revenue, frequency, retention, LTV and offers - Build or use propensity and segmentation models, and connect insights on segments, offers, channels and seasonality to revenue, efficiency and cost savings - Design and report on tests independently, from sample size and holdout design to incremental uplift and results by segment, using AI to make your analysis and testing faster and more effective - Build and maintain dashboards in the client’s BI tool (Power BI, Tableau, Looker or similar) and own the KPI definitions behind them - Validate and document every figure before it reaches the client, and present findings and recommendations to senior stakeholders in clear, strategic stories - Review other analysts’ SQL, coach consultants on using data, manage 1–2 junior analysts as the team grows, and build reusable assets that work across accounts What Makes You a Great Fit - Production-quality SQL in Snowflake or another cloud warehouse (Databricks, Redshift or similar) - Experience building dashboards and reporting in a BI tool such as Power BI or Tableau, plus advanced Excel - Experience with a product or digital analytics tool (Amplitude, GA4, Mixpanel) - Hands-on cohort and behavioural analysis on customer, transaction or loyalty data - A strong grasp of data quality, validation and governance - Experimentation and statistics in Python or R, including test design, sample size, significance and incremental uplift - Experience building or using a propensity or segmentation model, such as recency and frequency tiers or 90/180/365-day activity tiers - CRM, loyalty or customer analytics experience, with the commercial sense to challenge a flawed question - Clear client-facing English, with the ability to explain findings to non-technical audiences in writing and in person Bonus points if you have: - Experience with Braze, SFMC or Adobe Campaign, and an understanding of how segments and insights are used in them - Experience with a CDP such as Hightouch, Segment or similar - QSR, restaurant or retail experience - Uplift modelling experience - Agency or consultancy experience (in-house candidates who work closely with stakeholders are very welcome too) ## Why You’ll Love Working Here Rocket‑Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond Remote‑First for Life – Work from wherever you feel your best Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable A Few Things to Know Before We Get Started Bring Your Own Device – We operate a BYOD policy, so you’ll use your own kit for work Right to Work – You’ll need a valid work visa; we’re not able to offer sponsorship at the moment ID Checks – We may ask for proof of identity (passport, ID card, or a recent utility bill) References – We may request two references, so have names, relationships, and contact details ready For Contractors – Proof of incorporation and up‑to‑date insurance is required A Quick Note on Applications We receive a high volume of applications, and while we’d love to reply to everyone personally, it’s not always possible. If you haven’t heard from us within two weeks, it sadly means you haven’t been successful this time. But don’t let that stop you—we’re growing fast, and new opportunities open up all the time. ## About Massive Rocket ## Company Overview - **One-liner**: Massive Rocket is a global Braze and Snowflake agency that helps enterprise brands accelerate customer loyalty through AI-powered first-party data strategies, cross-channel engagement, and CRM consulting. - **Entity Type**: Private (funding stage not disclosed; likely bootstrapped) - **Headquarters**: London, England, United Kingdom - **Founded**: 2018 - **Founders**: Not publicly disclosed (CEO is Thierry Sequeira) ## Core Business - **Primary industries**: IT Services and IT Consulting; Customer Engagement & Data; Marketing Technology - **Target customers**: Enterprise B2C brands (global leaders) – B2B - **Mission/purpose**: “Accelerate customer loyalty for global brands by combining deep technical expertise with creativity and AI to unlock the power of first-party data” [massiverocket.com/who-we-are](https://www.massiverocket.com/who-we-are) ## Products & Services - **Braze Implementation & Migration**: Expert setup, migration, and integration of Braze to deliver rapid time-to-value [massiverocket.com] - **Snowflake Data Engineering**: Architecting and optimizing data pipelines, including senior data engineering contracts (Snowflake, Databricks) [jobs.lever.co/massive-rocket](https://jobs.lever.co/massive-rocket) - **AI-Powered Personalization & Decisioning**: Real-time, personalized experiences and automated intelligent decision-making at scale [massiverocket.com] - **Cross-Channel Activation**: Email, push, in-app, SMS, and web campaigns designed to drive retention and loyalty [massiverocket.com] - **Marketing Technology Stack Design**: End-to-end architecture and optimization of customer engagement ecosystems (Braze, Snowflake, mParticle, Segment, etc.) [massiverocket.com] ## Market Standing - **Valuation / Market Cap**: Not publicly available - **Key Metric**: Revenue not disclosed; total funding not disclosed. Headcount = 81 employees (yearly growth +4.7%, monthly decline -8.2% as of mid-2026) [linkedin.com/company/massiverocket](https://linkedin.com/company/massiverocket) - **Notable Investors / Partners**: Certified Braze and Snowflake agency partner; clients are global brands (names not specified) [massiverocket.com] - **Growth Signals**: 200+ enterprise implementations worldwide; global delivery centers across US, EMEA, and APAC; team spread across 17 countries; active job postings (3 open roles), though headcount monthly growth slightly negative [linkedin.com; massiverocket.com] ## Competitive Advantages - **Certified Agency Partner**: Both Braze and Snowflake certified – a rare dual specialization [massiverocket.com] - **Deep AI & Data Expertise**: Combination of AI, customer data platforms (CDPs), and omnichannel marketing in one consultancy - **Global Delivery Model**: Offices in the UK plus remote teams across Europe, LATAM, India, and APAC enabling 24/7 coverage - **Proven Track Record**: 200+ enterprise implementations with measurable results in retention, engagement, and revenue [massiverocket.com] ## Strategic Focus - **First‑Party Data & AI**: Helping brands pivot from third‑party cookies to owned data strategies using Braze, Snowflake, and AI-driven personalization. - **Expansion of Delivery Locations**: Actively hiring contractors in Latin America (Data Engineers, CRM Consultants) and Europe (Senior Data Engineers) to scale global capacity [jobs.lever.co/massive-rocket] - **Continued Partnership Growth**: Deepening integration with Braze and Snowflake as both platforms evolve. ## Why Work Here - **100% Remote Forever**: “Always” remote setup – team members work from anywhere; no co‑location requirement [insights.massiverocket.com](https://insights.massiverocket.com/faq-joining-massive-rocket/) - **Global & Diverse Team**: Colleagues across 17 countries, with a strong international culture and occasional in‑person meetups [linkedin.com] - **Career Development**: Fast-moving environment, opportunities for advancement, and leadership roles; promotional paths from Consultant to Team Lead to Head of Department [linkedin.com; careers page] - **Perks & Benefits**: - 21 days annual leave (accrued monthly) + bank holidays (based on country of residence) + 1 birthday day off - UK employee pension via Nest (3% employer, 5% employee mandatory) - Online team events and a supportive, kind culture [insights.massiverocket.com] - **Engineering Culture**: Focus on modern data stacks (Snowflake, Databricks, Braze, CDPs) and AI tooling; a “bring your own device” policy (use own laptop) [insights.massiverocket.com] ## Sources 1. [LinkedIn Company Page](https://linkedin.com/company/massiverocket) 2. [Massive Rocket – Who We Are](https://www.massiverocket.com/who-we-are) 3. [Massive Rocket Careers Page](https://www.massiverocket.com/careers) 4. [Massive Rocket Job Board (Lever)](https://jobs.lever.co/massive-rocket) 5. [FAQ – Joining Massive Rocket](https://insights.massiverocket.com/faq-joining-massive-rocket/) ## Other roles at Massive Rocket - [Software Development Engineer in Test (SDET)](https://feeny.ai/job/software-development-engineer-in-test-sdet-massive-rocket-europe-d41s2t5y1egp) — Europe - [IT Support Engineer](https://feeny.ai/job/it-support-engineer-massive-rocket-in-t7mpq8rw5mcj) — IN, Brazil - [Technical Lead – MarTech Development Team](https://feeny.ai/job/technical-lead-martech-development-team-massive-rocket-in-gy9jp89b2y04) — IN, United Kingdom - [Principal Data Architect](https://feeny.ai/job/principal-data-architect-massive-rocket-in-latin-ch46watpdcy7) — IN Latin, United States - [Lead Data Engineer](https://feeny.ai/job/lead-data-engineer-massive-rocket-in-latin-x9k91xjenq1n) — IN Latin, United States - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-massive-rocket-in-latin-3exkw673v8m7) — IN Latin, United States - [Account Manager](https://feeny.ai/job/account-manager-massive-rocket-europe-tns10t0x4y7k) — Europe - [Principal CRM Consultant](https://feeny.ai/job/principal-crm-consultant-massive-rocket-in-latin-krdsvgye0z6y) — IN Latin, United States - [Operations Assistant](https://feeny.ai/job/operations-assistant-massive-rocket-in-wqdnrekph596) — IN, United Kingdom - [Data Architect](https://feeny.ai/job/data-architect-massive-rocket-in-latin-nzxtep226hsh) — IN Latin, United States