What You'll Do:
- 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.
What You Should Have:
- 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.
Nice to Haves:
- 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
Top Skills
What We Do
Articulate develops e-learning software, content, and resources that change the way the world learns.
More than 106,000 organizations worldwide, including all 100 of Fortune 100, have created millions of courses using our online training apps, Articulate 360 and Rise.com.
With Articulate 360, e-learning developers get everything they need to create courses for their learning management systems, including the award-winning authoring app Storyline 360.
With Rise.com, organizations get everything they need to create, track, and manage their online training in one complete system. It's the all-in-one online training system employees love.
Articulate also has the industry's largest community, E-Learning Heroes, where online training professionals get inspiration, guidance, product support, and best practices on building online training. Join the 965,000+ member of E-Learning Heroes.
As a human-centered organization, Articulate is driven by our vision to empower people to live better lives. We're committed to providing the best value to customers and doing right by our employees.
We're building a team that looks like the world we live in and an environment where people from diverse backgrounds feel like we belong. Learn more about why we're one of Inc. Magazine's Best Workplaces of 2020.

.png)







