Analytics Engineer

About Blinq

Blinq is an AI-driven contact application designed to enhance personal and professional networking. Our mission centers on unlocking the potential in human relationships often missed due to timing or forgotten follow-ups. Originating as the top digital business card, Blinq serves over 4 million professionals and 93% of Fortune 500 companies. The company has secured over $45 million in funding from notable investors.

Why Join Blinq

• Be part of an AI-native company experiencing significant momentum with ample resources, yet still small enough for your contributions to shape its future.
• Collaborate with highly skilled peers who uphold a high talent standard, fostering a culture where excellence is the norm.
• Work on globally ambitious projects based out of Australia, joining a team spread across Sydney, Melbourne, San Francisco, and New York.
• Engage in purposeful in-person work three days per week in the office, with flexibility to work remotely twice a week, promoting creative energy and teamwork.

Work Culture

• Maintain a positive, opportunity-focused mindset, prioritizing possibilities before constraints.
• Uphold a high bar for talent, fostering an environment of top performers.
• Focus intensely on craftsmanship with attention to detail rather than superficial polish.
• Commit to truthfulness, courageously pursuing unconventional yet correct approaches.
• Operate with efficient resource utilization and simplicity in design.
• Pursue personal and collective excellence through meaningful work.

Engineering at Blinq

The engineering team powers Blinq’s success by developing tools that enable instant and humanized sharing experiences. Every line of code and every release is targeted at delivering high-impact solutions in a collaborative environment.

Role & Impact

As an Analytics Engineer, you will convert Blinq's expanding data assets into reliable, actionable insights impacting Product, Growth, Revenue, and Operations teams. This pivotal role blends data engineering with analytics to build data models, metrics, and self-service data infrastructure that inform understanding of user acquisition, engagement, and revenue. The position is hybrid-based in Melbourne or Sydney.

Key Responsibilities

• Manage and enhance Blinq's analytics architecture by designing reusable data models that transform raw data into trusted datasets.
• Collaborate with cross-functional teams including Product, Growth, Revenue, Finance, and Engineering to transform vague business questions into precise metrics and analyses.
• Create and sustain scalable ELT pipelines using tools like SQL, dbt, and cloud data warehousing technologies.
• Establish canonical metrics and semantic frameworks to ensure consistency across dashboards and decision-making processes.
• Develop comprehensive dashboards and self-service reporting tools facilitating swift, independent analysis by teams.
• Support analytics for product features and experiments such as funnel analysis, cohort tracking, user retention, activation, monetization, and A/B testing methodologies.
• Enhance data quality and reliability through rigorous testing, documentation, lineage tracking, monitoring, and clear data ownership.
• Conduct complex investigations to uncover underlying reasons for performance trends and translate insights into actionable recommendations.
• Partner with data and software engineers to refine instrumentation, event tracking, and ensure data integrity across sources.
• Drive improvements in data usage standards, tooling, and analytics practices to support company scaling.

Required Qualifications & Skills

• A minimum of three years’ experience in analytics engineering, data analytics, BI, or data engineering, preferably within a fast-growing SaaS environment, demonstrating strong ownership and adaptability.
• Expert-level proficiency in SQL and dbt, including constructing maintainable data models and enforcing robust testing, documentation, and quality assurance standards.
• Practical experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift, coupled with a solid grasp of ELT processes, dimensional modeling, and data governance principles.
• Track record of defining reliable metrics, developing effective dashboards/self-service reporting, and collaborating with stakeholders to clarify ambiguous analytical challenges.
• Strong business acumen with the ability to relate user behavior, experimental outcomes, and revenue metrics, and articulate insights in accessible terms.

Benefits & Perks

• Equity participation offering genuine ownership and a share in company growth.
• Competitive remuneration with opportunities for professional advancement aligned with company expansion.
• Generous leave policy including 20 days annual leave plus flexible arrangements to accommodate personal needs.
• Regular social events such as team lunches, group activities, and fitness sessions promoting camaraderie.
• Office amenities including catered lunches and a well-stocked snack bar.

Additional Information

Artificial intelligence tools may be used to streamline hiring processes such as application reviews and resume analysis, but all final decisions are made by humans. Candidates seeking details about data handling during recruitment are encouraged to reach out for more information.