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Job Description:

Our Data Insights & Analytics team provides Pluralsight with accurate & accessible data, decision support models & analyses, enablement training & services, as well as facilitation for all analytics endeavors across the company.

In this role, you will need to use your knowledge of data pipeline orchestration, standard methodologies for data warehouse performance, data migration strategies, and analytics architecture to function collaboratively within a team environment. We are looking for someone who will apply software engineering standard methodologies to analytics code via the utilization of version control, testing and validation processes, and continuous integration.

Who you’re committed to being:

• Love collaborating with data scientists and analysts to understand their needs

• Eager to dive in to data sources to understand availability, utility, and integrity of our data

• Passionate about data, analytics and automation with experience cleaning and modeling large quantities of raw, disorganized data

• Proactive, self-aware, and empathetic communicator

• Creator of reproducible and extensible work

• Appreciate being on a team that values and encourages diverse ideas, backgrounds, and strengths

• Carefully consider the ethical and security implications of choices you make when using data, as well as the impact of your work on customers and colleagues

• Respect and invite fair feedback while promoting the identification and open discussion of errors, risks, and unintended consequences

• Deeply understand existing and new technology trends, and you work with partners to review and recommend innovative and efficient solutions

What you’ll own:

• Building and maintaining production data pipelines for analytics across the business

• Developing tooling and solutions for data practitioners using a deep understanding of their objectives and problems

• Improving observability in our data environment, including uptime, usage, data quality, and data freshness

• Modeling from an enterprise perspective rather than from a single business function perspective

• Provide data modeling expertise through code reviews and training to help deliver optimal, DRY, and scalable database designs and queries

• Process improvement via automation

• Creation and implementation of standards for production-worthy data flows

• Create and maintain documentation on processes, policies, application configuration and help-related materials as applications are developed

• Performance tuning (sophisticated queries, procedure, etc.)

Experience you’ll need:

• 5+ years of taking a multidisciplinary approach to data development: we emphasize picking the right tool for the job

• 5+years of demonstrable experience with data warehousing architecture and data modeling standard methodologies

• Deep experience with a number of data tools: e.g. SQL, Fivetran, dbt, Snowflake, Hadoop, Python, AWS

• Managed systems with sophisticated dependency management and orchestration requirements

• Experience with orchestration and administration of EDW and Data application environments (e.g., Snowflake, Tableau, Fivetran, etc.)

• Strong capability to manipulate and analyze complex, abundant data from various sources

• Effective communication skills with technical team members as well as business partners. Able to distill complex ideas into straightforward language

• Ability to tackle problems independently and prioritize work based on the anticipated business value

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