Data Analytics Lead Full-time Job

You Will

Build and Mentor: lead a team of data analysts and scientists, fostering a culture of excellence, collaboration, and continuous learning.

Lead and Expand Analytics Vision: develop and implement a comprehensive analytics strategy that aligns with our product and growth objectives, overseeing all aspects of company data analytics from collection to interpretation.

Build and consolidate our data foundations ensuring the data analytics team's present and future, enhancing and consolidating future analysis.

Develop and Maintain a Single Source of Truth: own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, and dashboards on the key drivers of our business

Foster Data-Driven Culture: champion the use of data in strategic decision-making, ensuring data accessibility and literacy across all departments.

Collaborate and Influence: work closely with finance, product, engineering, sales, marketing, and customer success teams to ensure that analytics insights inform product development, go-to-market strategies, and customer experiences.

Work hand-to-hand with our Product team to define our Tracking plan, and make sure we observe and understand our users across the product funnel 360º.

Drive Innovation: Identify opportunities for data to create competitive advantage and support new product features or business models.

Ensure Data Integrity: Oversee the development and maintenance of robust data infrastructure, data governance policies, and privacy standards to ensure data accuracy and security.

You Must Have

A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.

Extensive experience in data analytics, preferably in a product-led growth company, with a proven track record of leveraging data to drive decision-making and growth.

Strong leadership skills with experience building and managing analytics teams.

Proficiency in analytics and data tools and technologies (e.g., SQL, Python, Metabase, DBT, Kafka, etc.) and knowledge of statistical analysis, predictive modeling, and machine learning techniques.

Excellent communication skills, with the ability to translate complex data insights into actionable strategies across different organizational levels.

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