Articulate · 1 month ago
Senior Analytics Engineer II
United States
Full-time
Hybrid
Senior Level, Lead/Staff
$138K/yr - $206K/yr
8+ years expArticulate is a leading SaaS provider of creator platforms for online workplace training. They are looking for a Senior Analytics Engineer to transform data into self-serve artifacts and support data literacy and infrastructure improvements within the organization.
E-LearningEdTechEducationSoftwareTraining
Responsibilities
Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools such as Looker or Tableau, and publishing documentation, enabling self-service analytics for business users and faster insights for data analysts
Collaborate directly with stakeholders to define problems and determine requirements for a solution
Set and maintain best practices for data models and processes, including project architecture and QA
Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them
Own documentation of our tools and data, both for our team and for external usersLead discovery on data tools and infrastructure, including setting goals for tooling, continuous analysis of existing tooling, and exploring new tools and features we may adopt
Participate as a technical leader in project planning, helping to create well-defined tasks to address data initiatives
Mentor more junior members of the data team
Represent the data team in some technical architecture and planning conversations
Identify and share data risks and dependencies in these contexts
Make recommendations for data collection and upstream data structure to support downstream data quality
Support a culture of data-driven decision-making across the organization
Qualification
Required
8+ years of experience in data or analytics roles, with at least 5 in analytics engineering, preferably within a fast-paced tech company or data-driven organization
Expert in end-to-end data workflows, from data collection to analysis and presentation, with most expertise in data modeling
Confident in translating raw data to reusable, business-friendly data models
Proven experience owning and leading the creation of reliable, flexible data models in an enterprise data warehouse, balancing completeness and performance with speed
Expertise in SQL (writing and analyzing complex queries), Data Build Tool (dbt), Looker/Tableau (defining data models and measures)
Experience building semantic layers using dbt, Looker, or Snowflake's semantic tables
Ability to write complex SQL, run ad-hoc data discovery, and build data models; experience optimizing queries and models for performance and cost
Proficiency with orchestration tools like Airflow, Prefect or Dagster and with ETL tools like Fivetran or Stitch
Comfortable breaking down large projects into smaller components, delegating tasks to more junior team members and creating clear, well-defined tasks to address critical data initiatives
Excellent communication skills; ability to translate complex business questions into easy-to-use data models
Preferred
Experience with event-based models or product telemetry for SaaS product usage analysis
Experience in Agile or Kanban workflow
Experience with Salesforce (or similar Enterprise CRMs), Marketo
Basic understanding of data security and compliance requirements
Benefits
This position is also bonus eligible.
This position is eligible for Articulate’s robust suite of benefits which are detailed here.
Company
Articulate
Articulate develops a workplace training platform that provides online courses for management systems.
201-500 employees
H1B Sponsorship
Articulate has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2022 (1)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$1.5BKey Investors
General Atlantic
2021-07-01Series A· $1.5B
Leadership Team
Kerry Hannigan Munz
Chief Technology Officer
Wendy Stockholm
Business Transformation Advisor | Interim Head of Data | CoS to CTO
Recent News
2022-03-24
2022-02-10
Company data provided by crunchbase