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Lead Data Analyst

4 months ago

Washington, United States CAVA - Support Center Full time
Job DescriptionJob Description

Company Profile:
At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big, together.  

 

We foster a culture built on five core values: 

  • Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others.
  • Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious.
  • Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt.
  • Passion for Positivity: We greet each day with warmth and possibility.
  • Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose.


Data Analyst Big Data

As a Lead Big Data Analyst, you be tasked with leveraging common enterprise approved data assets to deliver and visualize insights in support of key business initiatives.  You will be expected to engineer new insights and ensure that Cava is maximizing data assets with an eye on reusability to ensure value generation for and from all data projects.  We are investing strategically to build our data and analytics practice to unlock insights and drive performance leveraging next generation cloud-based data lake assets.  Day to day activities include working closely with business stakeholders for a given domain, data engineering to help provide prioritization for new insights, and own visualization/insight delivery for business use cases. 

 

What You’ll Do:

  • Analyze and provide data insights to business partners in support of given use cases
  • Lead and become a domain expert for a given business domain to ensure insight velocity in line with business expectations
  • Create, schedule, and productionalize standard reports for enterprise consumption
  • Operational support of products created.  “Your own and support the products you build”
  • Provide feedback and assist with prioritization with regards data quality, automated QA tests, and overall platform enhancement to data engineering teams  
  • Interface with architects, product managers/SMEs and analysts to understand data needs and support the implementation of such. 
  • Create design documents for data integration or data reporting projects 
  • Participate in design and code reviews
  • Stay updated with the latest industry trends and technologies, apply them to improve software development processes. 
  • Abide by policies and procedures that support the service mindset
  • Manage timeline expectations within and across teams, deliver on our responsibilities accordingly
  • Earn the trust of Team Members and Managers by consistently embracing CAVA’s values
  • Show discipline in bringing consistent performance, communication, and attitude to the job every day
  • Actively contribute to your department in order to complete tasks and meet company goals
  • Recognize the emotional stake each Team Member has in personal and organizational success of this business

 

 

The Qualifications:

  • 6+ years of experience as a Data Analyst with some Data Engineering functions with at least 3 years in a lead role.
  • Experience and hands experience working with large scale data sets, Petabyte scale
  • Expert skills data wrangling and cleansing able to sift through multiple data sets to create bespoke insights
  • Expert data analysis and exploration and proficient in statistical analysis techniques to understand patterns and trends within the data. (pandas, NumPy, or R)
  • Data visualization experience creating visualizations for insights to both technical and non-technical audiences.
  • Demonstratable hands on experience with popular data visualization tools include Tableau, Power BI, Looker
  • Proficiency in Python, R, SQL, or HQL for data manipulation, analysis, and automation of tasks
  • Ability to work with both structured and unstructured data sets 
  • Will need to articulate the services used for various stages of the data lifecycle
  • Experience with common relational databases such as:  SQL DB, Redshift, Snowflake, Delta, etc 
  • Ability to work with and geographically disperse teams, both on and offshore
  • Willingness to work in 24x7 model when required.  Expectation is that you support the code and products yourself and your team create
  • Occasional Travel Required

 

Physical Requirements:

  • Ability to maintain stationary position to be able to operate a computer and other office equipment
  • Must be able to identify, analyze and assess details
  • For certain positions, must be able to occasionally move or transport items up to 50 pounds
  • Ability to communicate with others and exchange information accurately and effectively
  • Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable
  • Ability to work in a constant state of alertness and in a safe manner  

 

What we offer:

  • Competitive salary, plus bonus and long-term incentives*
  • Early Wage Access*
  • Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community
  • Health, Dental, Vision, Telemedicine, Pet Insurance plus more
  • 401k enrollment with CAVA contribution
  • Company-paid STD, LTD, Life and AD&D coverage for salaried positions*
  • Free CAVA food
  • Casual work environment
  • The opportunity to be on the ground floor of a rapidly growing brand



*Indicates qualifying eligible positions only

 

CAVA – Joining “A culture, not a concept”

This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position and such duties and responsibilities may change without notice.

As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.