Remote Senior Analytics Engineer I

Description:

• 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.
• 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.

Requirements:

• 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.
• 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.
• A team-first mindset with a scrappy mentality, a desire to continually learn.

Benefits:

• The pay range for this position is $112,200 to $168,400 for all US locations.
• Bonus eligible position.
• Robust suite of benefits offered by Articulate.
• Remote work opportunity.
• Opportunity to work with a leading SaaS provider in creator platforms for online workplace training.
• Chance to contribute to building a culture of data-driven decision-making across the organization.