Business Analyst

Responsibilities:

• Deliver and maintain data assets that deliver insights at scale across the organization.
• Create training materials and documentation and proselytize data assets across org.
• Work cross functionally.
• Support/establish company-wide analytical strategy.
• Prioritize projects based on strong understanding of the underlying business, processes, and goals.
• Build and maintain data assets that unlock insights and enable the business to scale.
• Collaborate across org with SMEs to drive alignment on metrics.
• Bridge gap between business problems and technical solution through collaboration with technical and non-technical stakeholders.
• Develop scalable data models.
• Collaborate closely with IT and data teams to expand data access and availability.
• Scope requirements with internal stakeholders and lead working groups to usher projects through their entire lifecycle while building clear roadmaps for cross-functional team members.
• Enable team:

-Experience training and onboarding colleagues (especially at-scale, or in a remote-first or global environment).

-Effective communication across multiple modes (video, wikis, decks, guided exercises) and a knack for choosing the best format for the task and audience at hand.

-Writing and reviewing end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies to drive team effectiveness.

-Best practice definition: identifying the minimal set of rules for the greatest teamwide gains in clarity, accuracy, discoverability, and reusability.

Qualifications:

• Exceptional ability to operate independently in a cross-functional environment.
• Strong understanding of the analyst’s workflow as it relates to both structured and unstructured datasets.
• 2 years of experience in an analytics role at a mid-to-large company.
• 2 years of hands on experience experience with SQL (writing and optimizing), data warehouses, and relational databases.
• Exposure and ability to work with Power BI (or experience with an equivalent platform like Looker).
• Experience working in a cross-functional environment.
• Ability to communicate insights to technical and non-technical stakeholders.

Preferred Experience:

• Experience building and optimizing data pipelines, architectures and data sets.
• Understanding of multi-step ETL and ELT jobs/data pipelines and working with job scheduling systems, with an ability to reverse engineer and refactor existing technical projects.