Senior Analytics Engineer I

Articulate is looking for a Sr. Analytics Engineer to join our amazing Data team! As a Senior Analytics Engineer, you'll transform the data landing in our data warehouse into self-serve data artifacts.

The goal of this role is to help our cross-functional data consumers find the right data set for their analysis and answer their questions quickly through a self-service data platform. While the role is primarily responsible for building the data foundation for reporting and analysis, it is expected to provide necessary support in building and improving Articulate’s data literacy and infrastructure.

What You'll Do:

• Lead the (dbt) data transformation roadmap and implementation.
• Responsible for providing clean data ready for analysis by transforming, testing, deploying, and publishing data-related documentation.
• Design and optimize data models, ensuring the integrity, accuracy, and availability of data for analysis and reporting purposes.
• Propagate analytics layer into the visualization tool such as Looker, Tableau.
• Perform data exploration, statistical analysis, and data mining to identify trends, patterns, and insights that drive business growth and efficiency.
• Develop and implement data analytics tools, frameworks, and methodologies to enable self-service analytics for business users.
• Build and implement processes for technical QA on analytics/reporting tools.
• Collaboration in DataOps:
• Partner with Data Engineering and Data Science in modeling Key Performance Indicators (KPIs) for operational and strategic success.
• Partner with Data Engineering in developing processes and tools to monitor and analyze model performance and data accuracy.
• Partner with Data Engineering in managing tech debt (sunset/enhancements) and support of existing solutions.
• Partner with Data Engineer, Data Scientist/Analyst in training business users on how to use data visualization tools like Looker or Tableau.
• Partner with Data Science in operationalizing Machine Learning data output.
• Stay up-to-date with industry trends, emerging technologies, and share best practices in analytics engineering and visualization.
• Collaborate with internal stakeholders to identify opportunities to enhance existing models, streamline processes, and uncover untapped needs.
• Support a culture of data-driven decision-making across the organization.

What You Should Have:

• Proven experience (5+ years) in a Data Engineering or Analytics Engineering role, preferably within a fast-paced tech company or data-driven organization.
• Expertise in SQL (writing and analyzing complex queries), Data Build Tool (dbt), Looker/Tableau (defining data models and measures)
• 5+ years of experience working with data, ideally partnering with business stakeholders.
• Ability to write complex SQL, run ad-hoc data discovery, and build data models.
• Experience in at least one programming language for data analysis (e.g. Python, R, Javascript, Java).
• Strong understanding of the various components of the modern data stack, including data warehouse platforms (Snowflake/Redshift/BigQuery)Experience in gathering business requirements, creating ad-hoc reports, and designing scalable solutions to automate those ad-hoc reports.
• Ability to foster collaborative relationships and support cross-functional teams throughout the company.
• A passion for evangelizing best practices and creative problem-solving (Things break, and we are looking for someone who thrives in an environment where there is an opportunity to build more robust and scalable analytics engineering solutions).
• Able to thrive in a remote work environment and can manage and prioritize multiple initiatives.
• Willingness to adapt to changing needs, and ability to quickly learn new business models/technologies.
• Excellent communication skills (we’re a geographically distributed team, 100% virtual).
• A team-first mindset with a scrappy mentality, a desire to continually learn

Nice to Haves:

• Experience with technology for SaaS Sales/Marketing operations/RevOps a plus.
• Experience in Agile or Kanban workflow.
• Experience with Salesforce (or similar Enterprise CRMs), Marketo.
• Experience with SaaS product usage analysis.
• Basic understanding of data security and compliance requirements.