Analytics Engineer
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Posted within 60 days ·
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- Employment
- FullTime
- Stated compensation
- PHP 1,800,000–2,200,000 1 YEAR
- Stated sponsorship
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Requirements
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- remote
“Surprise meal stipends: work from home can’t stop the enjoyment of someone else making a meal for you!”
See matched passage in original description ↓ - Minimum experience (years)
- 3
“3–5+ years of analytics or BI experience, with demonstrated ownership of dbt modeling and BI dashboards — proven track record delivering dashboards and data products in an analytics, BI, or analytics engineering role in a production environment”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- PHP 1,800,000–2,200,000 1 YEAR
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Original job description
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Analytics Engineer
We're on a mission to shake up the status quo, and we're seeking passionate, innovative minds to join our journey. As an Analytics Engineer in CreatorIQ’s GTM Ops organization, you'll play a pivotal role in building the data foundation that drives our business forward. Working closely with our Data Engineers within our GTM Analytics & Insights team, you'll start by working with raw sales and marketing data and also, extending our existing dimensional models before progressively taking ownership of new datamart development as our data foundation grows. From building high-performance Tableau dashboards to designing the dbt models that power them, your work will directly shape how we understand and act on our customer journey. Immerse yourself in our performance-driven, fun, and highly motivated culture where we celebrate wins, learn from every challenge, and push each other to new heights.
In this role, you’ll get to:
Own and progressively extend our dimensional modeling layer — learn our existing dbt models and datamart conventions, then progressively take ownership of new subject-area datamarts, designing fact and dimension tables from scratch as the warehouse grows
Establish governed, reusable metric definitions across the GTM funnel, with priority on MQL→SQL — partner with Marketing Ops, Sales Ops, and RevOps to resolve conflicting definitions and encode metrics once so every dashboard and query pulls from the same source of truth
Design and deliver high-impact Tableau dashboards — build and maintain performant, self-serve dashboards that give GTM teams actionable visibility into revenue KPIs and customer journey metrics, built on governed metric definitions
Bring visualization judgment to every deliverable — apply a strong sense of which chart types and layouts serve each audience, translating complex data into intuitive, decision-ready views
Present and validate work with stakeholders — walk analysts and GTM managers through dashboards and metric definitions, confirm analytical logic is sound, and incorporate feedback to improve reliability and self-serve adoption
Gather and document business requirements — partner with GTM Strategy & Insights managers to translate business questions into scoped, well-documented analytical requirements, plus light ad-hoc analysis as needed
Who you are and what you’ll need for this position:
Required
3–5+ years of analytics or BI experience, with demonstrated ownership of dbt modeling and BI dashboards — proven track record delivering dashboards and data products in an analytics, BI, or analytics engineering role in a production environment
Advanced Tableau skills — you build high-performance dashboards and understand data source optimization, calculated fields; and consider which chart type fits which story, how to reduce noise, and how to design for the reader
Proficient in SQL — you write complex queries using window functions, CTEs, and optimization techniques to support analysis and data preparation
Hands-on with dbt and dimensional modeling — you build transformation models, write dbt tests, design star and snowflake schemas from scratch, and are comfortable inheriting and extending existing modeling conventions
Experience defining reusable metrics once and exposing them consistently across BI tools — e.g., Snowflake Semantic Views, dbt Semantic Layer, or similar
Proficient with Git — comfortable with branching, pull requests, and code review in a collaborative dbt development environment
Skilled at requirements gathering — you can scope an ambiguous business request, ask the right questions, and translate the outcome into clear, documented analytical requirements
Collaborative communicator — equally comfortable working through technical problems with engineers and explaining data model logic and metric definitions clearly to non-technical stakeholders
Preferred
Experience with GTM/RevOps data sources such as Salesforce, HubSpot, Google Ads, LinkedIn Ads, and call-intelligence platforms (e.g., Gong), including reconciling identity/attribution across systems
Experience with Snowflake as a data platform and aware of its Coco AI capabilities
Experience with data diagramming tools (e.g., Lucidchart, dbdiagram.io) for documenting
Curiosity about agentic BI tools (e.g. Omni) and automation tools (e.g. n8n)
Success Criteria (first 90 days)
Ship a documented, cross-team-agreed definition of MQL and SQL (and the handoff logic between them)
Rebuild or validate the core top-of-funnel Tableau dashboard against that governed definition
Be actively extending at least one existing dbt datamart independently
Confidence can sometimes hold us back from applying for a job. But there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Interested about what we do at CreatorIQ? Please apply!
What you will get from us:
People: work with talented, collaborative, and friendly people who love what they do.
Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us.
Surprise meal stipends: work from home can’t stop the enjoyment of someone else making a meal for you!
Work/life harmony: 20 days vacation, floating and set holidays, wellness allowance, and paid parental leave.
Whole Health Package: medical, dental, vision, life, disability insurance, and more.
Work from home stipend: to assist you in setting up a home office that works for you (or buy a new dog leash - your choice!).
Compensation, benefits, and beyond:
We know that benefits play a significant role in your overall compensation. We invite you to review our benefits and perks.
Who we are:
CreatorIQ is enterprise infrastructure for creator marketing, trusted by more than 1,300 of the world's leading brands and agencies, including Beiersdorf, Delta Air Lines, Dentsu, Google, Nestlé, and Wella. Powered by the Creator Graph®, CreatorIQ's proprietary AI and intelligence foundation grounded in over 11 years of data, it’s built for teams, agents, and the entire enterprise tech stack. With headquarters in Los Angeles and offices in Austin, London, Manila, New York, San Francisco, and Warsaw, CreatorIQ’s global team moves quickly and deliberately because we're setting the pace for an industry that's still being defined.
Learn more at www.creatoriq.com and follow us on LinkedIn and Instagram.
At CreatorIQ, different perspectives make our work better. The people we hire come from different backgrounds and think in different ways — and that's exactly what helps us connect with each other, and with the customers and creators we serve.We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being intentional, pursuing excellence every day, embracing the journey together, and being a good human, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry.
AI Transparency Notice
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and note taking during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to our Global Candidate Privacy Notice.
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