Analytics Engineer

Blinq; Melbourne; Hybrid; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Equity

Growth path

20 days annual leave

Team lunches

Job summary

Blinq is seeking an Analytics Engineer to turn data into trusted insights across Product, Growth, Revenue and Operations. This hybrid role is based in Melbourne or Sydney, combining data engineering with analytics to empower teams with reliable numbers.

You will build scalable ELT pipelines, define metrics, and develop dashboards to drive decisions and experimentation across the business.

Qualifications

• 3+ years in analytics engineering, data analytics, BI or data engineering in SaaS.
• Proven ability to define trusted metrics and build dashboards.
• Strong ownership mindset and ability to adapt to shifting priorities.

Responsibilities

• Own and evolve analytics layer with clean, reusable data models.
• Partner with Product, Growth, Revenue, Finance, and Engineering to define metrics.
• Build ELT workflows using SQL, dbt, and cloud data tools.
• Define canonical metrics and semantic models for consistent reporting.
• Develop high-quality dashboards and self-serve reporting.
• Support product analytics, funnels, cohorts, retention, monetisation and A/B testing.
• Improve data quality through testing, lineage, monitoring and ownership.
• Investigate complex questions and translate insights into recommendations.
• Improve instrumentation and data reliability across source systems.
• Raise analytics standards as the company scales.

Skills

Advanced SQL

dbt

Data modeling

Stakeholder collaboration

Analytics & dashboards

Tools

BigQuery

Snowflake

Redshift

dbt

Job description

Job Description

About Blinq

Blinq is the AI contacts app for people who meet people.

We're on a mission to unlock the world's relationship potential. So much of what's possible in the world is locked inside relationships that never quite happen. A missed conversation, a forgotten follow-up, the right person at the wrong time. We're building so those chances aren't left to chance.

What started as the world's #1 digital business card is now used by 4 million professionals and at 93% of the Fortune 500. We've raised $45m+ from Blackbird, Square Peg, HubSpot Ventures, and Touring Capital.

Learn more:

• You want to be part of an AI-native company at an inflection point. Big enough to have real momentum, customers, and resources. Small enough that the work you do shapes where it goes from here.
• You want to do the best work of your life alongside people doing the same. We hold an unusually high bar for talent and we hire people who treat that as a feature, not a threat.
• You want to build something globally ambitious from a part of the world that doesn't always think this big. Our team is in Sydney, Melbourne, San Francisco, and New York, and we're betting that the next category‑defining company in our space comes from Australia.
• You want to work in person, on purpose. Three days a week in the office, two wherever works for you. Creative energy and momentum compound face to face.

How we work

• We are professional optimists. We think what's possible first and let constraints come second.
• We hold an insanely high talent bar. A players only.
• We are obsessed with craft. The details are the thing, not the polish on top of it.
• We are truth obsessed. We say what's true even when it's uncomfortable, and we have the courage to pursue contrarian but correct bets.
• We do more with less. Calculated frugality and beautiful simplicity guide how we build.
• We are all here to genuinely do our life's best work.

Engineering at Blinq

Our engineering team is the engine behind Blinq’s success. We’re building tools that make sharing who you are instant and human. Every line of code, every release, and every experiment is focused on driving meaningful impact. If you thrive on solving complex, high‑impact problems with a tight‑knit team, you’ll feel right at home here.

Role & Impact

We're looking for an Analytics Engineer to turn Blinq's growing data into trusted, decision‑ready insight across Product, Growth, Revenue, and Operations.

This is a high-impact role at the intersection of data engineering and analytics. You'll build the models, metrics, and self‑serve foundations that help teams understand how people discover, use, and pay for Blinq. You'll work closely with stakeholders to define what matters, make data easier to use, and ensure decisions are grounded in consistent, reliable numbers. This is a hybrid role based in Melbourne or Sydney.

What You'll Do

• Own and evolve Blinq's analytics layer, building clean, reusable data models that turn raw product and business data into trusted datasets.
• Partner with Product, Growth, Revenue, Finance, and Engineering to translate ambiguous questions into clear metrics, analysis, and data products.
• Build and maintain scalable ELT workflows using SQL, dbt, and modern cloud data tools.
• Define canonical metrics and semantic models so teams work from consistent definitions across dashboards and decision‑making.
• Develop high‑quality dashboards and self‑serve reporting that help teams move quickly without relying on one‑off analysis.
• Support product analytics and experimentation, including funnel analysis, cohorts, retention, activation, monetisation, and A/B testing.
• Improve data quality and trust through testing, documentation, lineage, monitoring, and clear ownership.
• Investigate complex questions, surface the “why” behind performance, and turn insights into practical recommendations.
• Work with data and software engineers to improve instrumentation, event tracking, and the reliability of data flowing from source systems.
• Raise the bar for how Blinq uses data by improving standards, tooling, and analytics practices as the company scales.

What You'll Bring

• 3+ years in analytics engineering, data analytics, BI, or data engineering, ideally in high‑growth SaaS, with a high‑ownership mindset and comfort when priorities change
• Advanced SQL and dbt skills, with experience designing maintainable data models and applying strong standards for testing, documentation, and data quality
• Experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift, with a strong understanding of ELT, dimensional modelling, and data governance
• Proven ability to define trusted metrics, build useful dashboards or self‑serve reporting, and partner with stakeholders to turn ambiguous questions into clear analytical work
• Strong product and commercial instincts, with the ability to connect user behaviour, experimentation, and revenue outcomes, then explain the insights in a simple, practical way

What you get

• Equity and ownership. We're building something massive and we want you to share in the upside. Genuinely.
• Competitive salary and a real growth path. As Blinq grows, your role and compensation grow with it.
• Time to switch off. 20 days of annual leave plus a flexible policy for everything life throws at you beyond that.
• Good times, often. Team lunches, padel, games nights, Barry's sessions. We like hanging out and it shows.
• Regular catered lunch at some of our offices, plus an always‑stocked snack bar.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 contact us.