SDE 2, Analytics

2 Months ago • 5 Years + • Software Development & Engineering

Job Summary

Job Description

The SDE 2, Analytics role at Poppulo involves transforming raw data into clean, reliable datasets to empower data-driven decisions. Responsibilities include designing and implementing data models, building ELT pipelines, maintaining analytics layers using tools like dbt and Looker, ensuring data quality, and collaborating with various teams. The role requires strong SQL skills, experience with modern data stack tools, and a collaborative mindset. The candidate will monitor and optimize analytics workflows and contribute to the evolution of the data platform. Poppulo operates at enterprise scale, providing an omnichannel communications and workplace experience platform.
Must have:
  • 5+ years of experience in analytics engineering or a similar role
  • Strong SQL skills and experience with large-scale datasets
  • Proficiency in modern data stack tools (e.g., dbt, Airflow)
  • Experience with scripting languages like Python or TypeScript
  • Familiarity with cloud data platforms, especially AWS
  • Experience with monitoring performance and reliability of services
  • Collaborative mindset with cross-functional team experience
  • Strong understanding of data warehousing and dimensional modeling
  • Passion for clean, well-documented, and reusable data solutions
Good to have:
  • Experience with BI tools (e.g., Looker, Tableau, Power BI)
  • Experience with ML/AI workflows and data preparation
  • Experience in Agile development environments, ideally in SaaS
  • Familiarity with CI/CD pipelines and version control
  • Knowledge of GraphQL and Java is a plus

Job Details

Introduction:

Are you looking to make a significant impact in a thriving software company? At Poppulo, we are shaping the future of communications and workplace technology. We recognize the challenges of effectively reaching every employee, managing hybrid office spaces, and enhancing customer experiences. Our mission is to simplify these processes and create harmony for our clients.

We operate at enterprise scale, with our omnichannel communications and workplace experience platform trusted by over 6,000 organizations, reaching more than 35 million employees and delivering content to over 500,000 digital signs.

We believe there’s no “perfect” candidate; everyone is evolving and acquiring new skills. We encourage you to apply even if you don’t meet all the requirements, as we value diverse perspectives to foster growth

The Opportunity:

We are seeking a SDE 2, Analytics to join our growing data and analytics team at Poppulo. This is a key role focused on bridging the gap between data engineering and data analysis—transforming raw data into clean, reliable, and well-modeled datasets that empower product teams, analysts, and business stakeholders to make data-driven decisions at scale.

Key Responsibilities

  • Collaborate with data engineers, analysts, and product teams to design and implement robust, scalable data models and semantic layers.
  • Build and maintain ELT pipelines that transform raw data into curated datasets for reporting, dashboards, and advanced analytics.
  • Own the development and maintenance of our analytics layer using tools like dbt, Looker, or similar.
  • Ensure data quality, consistency, and documentation across all analytics assets.
  • Partner with stakeholders to understand business needs and translate them into data solutions and self-service capabilities.
  • Work closely with data scientists and ML engineers to provide clean, well-structured data for experimentation and model development and help to evolve them into new product features.
  • Monitor and optimize the performance of analytics workflows and queries.
  • Contribute to the evolution of our data platform and analytics best practices.

Must-Haves

  • 5+ years of experience in analytics engineering, data modeling, or a similar role.
  • Strong SQL skills and experience working with large-scale datasets.
  • Proficiency in modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, BigQuery).
  • Experience with scripting languages like Python or TypeScript.
  • Familiarity with cloud data platforms, especially AWS (S3, Kinesis, Redshift, Glue, etc.).
  • Experience with monitoring performance and reliability of services.
  • A collaborative mindset with a track record of working closely with cross-functional teams.
  • Strong understanding of data warehousing concepts and dimensional modeling.
  • Passion for clean, well-documented, and reusable data solutions.

Nice-to-Haves

  • Experience with BI tools (e.g., Looker, Tableau, Power BI).
  • Experience with ML/AI workflows and data preparation for modeling.
  • Experience in Agile development environments, ideally in SaaS.
  • Familiarity with CI/CD pipelines and version control (e.g., GitLab).
  • Knowledge of GraphQL and Java is a plus

Who We Are

We are a values-driven organization that empowers our employees to be their authentic selves at work and make a tangible impact on our products, clients, and culture. Our dynamic environment is filled with motivated, fun, and flexible individuals who thrive on challenges and responsibilities. Join us and contribute to a company that’s on the move.

We embody the Poppulo values every day, which are essential to our mission:

  • Bring Your Best Self: We show up authentically, are self-aware, and always strive to improve.
  • See it. Own it. Solve it.: We proactively innovate and solve for our customers and each other, setting high standards for our work and fostering a culture of learning.
  • Together We’re Better: We value and celebrate our diversity, learn from others, and focus on building trust as a team.

Recognized as a Great Place to Work from 2015 to 2021, we are a fast-growing global technology company with offices in Ireland, the US, and the UK.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

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