(Senior) Product Data Analyst

Smartly is an AI-powered

advertising platform uniting creative and media workflows. We are looking for a Product Data Analyst ​who helps

product teams understand how customers use the platform, choose investments, and measure whether launches create value.

Reporting to the Manager, Data Platform, you will be a hands-on contributor in the Data Analytics

squad, partnering closely with Product, Design, Engineering, and Data Engineering across the company.

This role combines

analytics engineering with product analytics. You will write code, build production-grade models and trusted data products, then

use them to answer product questions and shape decisions for teams across Smartly. Dashboards are a delivery surface, not the

goal.

Smartly moves fast. You will turn ambiguity into a plan, deliver in valuable increments, make sound technical

choices, surface blockers early, and drive work through adoption. This is not a coordination or reporting-production role.

What you will own​

• Build production-quality dbt models in BigQuery, from source-aligned layers to reusable

product marts and metric foundations.

• Design tables deliberately, defining grain, keys, joins, data types, null handling,

history, and performance before implementation.

• Write clean, maintainable code using version control, pull requests,

automated tests, documentation, and peer review.

• Turn recurring questions and one-off reports into durable models, shared

definitions, and self-service data products.

• Partner with Product Managers and Engineers on instrumentation, event

schemas, data contracts, validation, and quality monitoring.

• Own domain data quality by tracing discrepancies, lineage,

and join coverage; fix root causes before users find them and expose reliability.

• Analyse journeys, funnels, cohorts,

retention, adoption, experiments, and commercial outcomes to recommend next steps.

• Build decision-ready dashboards when

appropriate, keeping trusted modelling and metric logic beneath the visualisation.

• Drive work end to end: clarify

outcomes, scope pragmatically, ship iteratively, communicate directly, and ensure adoption.

• Use AI tools to increase

speed while protecting confidential data, reviewing generated code, and verifying conclusions.

What success looks

like​

• Within three months, you understand the product and architecture, contribute reviewed code regularly, and ship

a trusted model or improvement.

• Within six months, you own a product area’s analytics foundations: tested, documented

models actively used in decisions and trusted by product teams.

• You replace recurring manual analysis and reporting with

reusable models, reliable metrics, and effective self-service.

• Your pace shows in completed outcomes: you move without

perfect information while maintaining quality and alignment.

What we are looking for​

• Advanced SQL and

strong experience with BigQuery or another cloud warehouse, including complex transformations, window functions, nested data, type

conversion, and performance trade-offs.

• Strong modelling judgement across warehouse and analytics use cases: grain,

cardinality, dimensional models, deduplication, historical data, and the metric risks of poor joins or types.

• Hands-on

dbt or similar experience, including modular design, testing, documentation, lineage, version control, and production deployment

workflows.

• Ability to code beyond dashboards—for example, using Python to inspect data, automate workflows, use APIs, or

build analytical tools.

• An engineering mindset focused on correctness, maintainability, observability, reproducibility,

and solutions others can safely extend.

• Practical product-analytics judgement across funnels, cohorts, retention,

adoption, segmentation, and product-impact measurement.

• Strong delivery instinct: you navigate ambiguity and shifting

priorities, decide with available evidence, and unblock progress.

• Clear stakeholder communication: translate business

needs into technical designs, explain trade-offs, challenge assumptions, and recommend action.

• Curiosity about digital

advertising and motivation to learn enough product and customer context to model data correctly.

Nice to have​

• Experience with orchestration, semantic layers, data contracts, lineage, observability, or near-real-time data.

• Experience with experimentation, causal inference, or advanced statistics.
• Experience in B2B SaaS, adtech, or complex

workflow products.

• Experience with Tableau, Redash, or similar BI tools.

Join an

international, fast-moving team where Product, Engineering, Design, and Analytics work together with clear personal

accountability. We value ownership, simplicity, learning, direct feedback, and sustainable delivery. This Helsinki-based role

follows Smartly’s hybrid practices, with regular in-person collaboration.

What we offer​

• Product work with

visible customer and business impact.

• Autonomy, supportive peers, and room to grow your craft.
• A global,

inclusive team built on trust and open feedback.

• Competitive local compensation, benefits, and wellbeing support.

Smartly is the AI-powered advertising technology

company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates

the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300

billion creatives annually, delivering tangible business outcomes for brands and advertisers.

Smartly is the only company

in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it

delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media

platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to

media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs

best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we

want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity &

Inclusion approach is at the heart of it.

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