Analytics Engineer

Job Description

Podme was founded in 2017 with a vision to enrich everyday life by taking podcast entertainment to its full potential. Podme is your go-to place for quality podcasts, and brings you a fresh selection of curated content, including popular titles found nowhere else. Backed by Schibsted Media, the largest media group in Scandinavia, we are now on a growth journey which requires us to strengthen the data-driven excellence in our company.

We are seeking a talented Analytics Engineer to join our team in Stockholm and play a pivotal role in shaping the future of our podcast subscription business and beyond. You will derive actionable insights from raw data by leveraging your expertise in data analysis, modeling, and transformation, ensuring clean and reliable datasets and reports to support decision-making.

As an Analytics Engineer at Podme, you will collaborate closely with Data Engineers and cross-functional teams, including Marketing and Product, to deepen our understanding of the business, enhance our products, and better serve our users. Your contributions will drive strategic decisions and fuel our growth, positioning Podme at the forefront of innovation in the podcast space.

Key Responsibilities

• Transform and model data to ensure clean, accurate, and reliable reporting datasets.
• Create and maintain automated dashboards and reports to monitor key metrics related to subscription, marketing, and product performance.
• Support the marketing team by analyzing customer lifecycle data to identify growth opportunities and inform the planning and prioritization of new initiatives.
• Conduct ongoing reporting and analysis of customer journeys to provide actionable insights for continuous optimization.
• Collaborate with product managers, UX designers, and developers to implement our event tracking strategy, ensuring accurate tracking of user interactions.
• Perform exploratory data analysis and deep dives into various focus areas to uncover insights and identify opportunities for improvement.

Qualifications

• Experience in an analytics engineering or data analytics role with a focus on data manipulation, transformation, and analytics.
• Proficiency in SQL and experience with cloud data warehouses like BigQuery.
• Hands-on experience with dbt for data transformation, Airflow for workflow orchestration and automation, and Git for version control.
• Solid understanding of data modeling best practices and data validation, with the ability to independently address data discrepancies.
• Proven experience in building and maintaining dashboards with Looker Studio or similar BI tools.
• Skilled in collaborating with data engineers to address data quality issues through the development of data validation checks.
• Strong communicator capable of translating complex data insights into clear, compelling narratives for both technical and non-technical audiences.
• Proven ability to build and maintain strong relationships with stakeholders, ensuring alignment and collaboration on data-driven initiatives.
• Familiarity with marketing automation platforms, such as Braze, and web analytics tools, like GA4.

Preferred Qualifications

• Experience in the podcast, media, or subscription-based business model, with a strong understanding of industry-specific analytics.
• Familiarity with Python for data manipulation, automation, and custom ETL development.
• Understanding of data privacy regulations and their implications for data collection, storage, and analytics strategies.

What We Offer

We are a vibrant team dedicated to advancing the world of podcasting. As an Analytics Engineer, you’ll work alongside passionate data professionals at a growing company shaping the future of audio content.

• Dynamic Work Environment: Thrive in a fast-paced, innovative culture where your work fuels our mission to elevate the podcast experience.
• Collaborative Team: Join an inclusive and supportive team that values knowledge-sharing and teamwork, where your insights and expertise are appreciated.
• Impactful Work: Play a crucial role in transforming data into actionable insights, empowering creators to produce and optimize high-quality podcasts.
• Continuous Learning and Growth: Expand your skills through code reviews, pair programming, tech talks, hack days, and other initiatives that foster creativity and professional development.
• Flexibility and Work-Life Balance: Enjoy a balance of remote work with 2-3 days per week in our Stockholm office, supporting both flexibility and collaboration.
• Wellness and Healthcare: Benefit from comprehensive healthcare insurance and wellness allowances.
• Access to Premium Podcasts: Gain insider access to Podme's premium podcasts and learn from the content you help create.

Join us and lead the way in using data to drive growth and innovation in the podcast space!