Sr. Data Analyst (Data Science & Analytics - Operations)

Location: Dallas, TX
Job Type: Data Science

IQ Workforce is a leading recruiting firm for the engineering, analytics, and data science communities.

Our client is a global restaurant company, which engages in the development and operation of some of the most recognizable brands in the world. They have over 30,000 employees and operate over 50,000 restaurants in 150+ nations and territories. They are looking for an experienced Data leader with deep expertise in engineering & analytics to help drive change in an influence-based role with a global remit.

They are currently in search of an experienced Data & Analytics Analyst to help drive their operational analytics and technology platform. This position will own analyses and integration projects from beginning to end, including opportunity identification, problem scoping, analysis framing / execution, and synthesizing results to project stakeholders and internal leadership.

As a member of the DS&A (Data Science & Analytics) group you will be a core part of the team that is driving forward data and technology-based decision making throughout our organization. From business, operations, and predictive analytics to data modeling & optimization, the DS&A team brings the power of our extensive data assets and capabilities to bear on the brand’s most important decisions.

Our ideal candidate has a breadth of analytics experience, strong technical skills, an evolving understanding of common technologies, and is capable of decomposing complex problems into addressable components or digestible analyses while maintaining a keen eye on the relevant business objective(s); their core responsibilities include but are not exclusive to:

Design, validate, and deploy testing strategies & supporting analytics to measure and inform the performance of ongoing development (~40%)

Identify gaps in existing infrastructure; aid in prioritization of Product Development workstreams across a variety of topics; liase between Product and Data Engineering teams during development of new infrastructure (~20%)

Maintain existing Data Products, including short-term optimization and long-term migration to production (~30%)

Serve as internal driver / knowledge resource to analysts across the organization in the domain of data modeling, scripting, and reproducible analytics practices (~10%)

Bachelor’s in quantitative or related discipline with 3+ years of experience, or Master’s in quantitative or related discipline with 2+ years of experience

3+ years’ working in analytics positions in performance-driven marketing, e-commerce, or consulting organization

Excellent communication skills with a record of successfully advocating to turn insights into action

Comfortable with test & learn processes, multi-faceted analytics projects, integrating data from multiple sources, and synthesizing & presenting actionable insights from a variety of data-points and analyses

Highly skilled in SQL; able to easily query complex data and construct data models as needed

Proficient in at least one scripting language (Python, Scala, or R)

Working knowledge of at least one commonly applied BI tool (Tableau, Power BI, Domo, etc)

Highly proficient in a widely applicable scripting language (Python, Scala, or R; Python preferred)

Extensive experience leveraging professional IDEs (PyCharm or VS Code; PyCharm preferred)

Experience building and maintaining dashboard-based reporting through common BI tools (Tableau or Power BI; Tableau preferred)

Working knowledge of Linux, source control, and remote development (SSH, Docker, etc)