Sr. Data Analyst

What you'll do:

Initiate the advancement of measurement capabilities and tools to better analyze and access data

Identify Finance user requirements and deliver technology solutions that effectively and efficiently solve key challenges, such as:

• Build and design dashboards and reports as scoped by clients and internal teams that summarize vast quantities of data

• Perform rigorous analyses on large, complex data sets and provide strategic insights, hypotheses, and conclusions based upon findings

• Partner with finance analysts to help automate manual workflows and train them in tools and skills to become self-sufficient as needed

Documenting key processes and architecture of new solutions

Successfully manage multiple projects simultaneously

Prepare data-driven content and communicate insights efficiently to multiple audiences

Serve as the team expert (e.g. power user) for all data warehouse and Financial systems data

Apply business acumen and previous experience to manage large-scale enterprise projects

Experience you will need:

Bachelors in Information Systems, Computer Science, Finance, or similar education from an accredited college

5-7 years experience in Business with at least 2 years in a Business Intelligence capacity

Experience in delivering technology solutions that meet business user requirements

Proficiency in self-service data visualization tools (e.g., Tableau, Power BI, etc.)

Expertise in the collection, analyzing and delivering large, multidimensional data sets using advanced analytical tools and methodologies (e.g., SQL, Python, etc.)

Experience with Agile practices and product development

Ability to work effectively with stakeholders at all levels within the organization

Strong stakeholder communication skills

Independent, detail-oriented and execution focused

Project management skills and a self-motivated approach

Familiarity with BigQuery or cloud-based Big Data platforms

What could set you apart:

Financial Planning & Analysis Experience

Tableau Certifications

Familiarity with data pipelines using Composer, Dataproc or real-time processing with Cloud Dataflow

Experience creating AI/ML solutions

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We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.