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Senior Data Analyst

Senior Data Analyst

MetropolisLos Angeles, CA, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

The Data team at Metropolis is seeking a highly motivated individual to contribute to the vision and development of the next generation of analytic data tools for our internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify data and reporting solutions, and collaborate with the data engineering teams to prioritize, develop and deliver on the data and reporting solutions. We are looking for someone who has strong Product instincts and understands how to create insights and not just reports.

You will rely on your skills as an excellent communicator to collaborate with stakeholders in Product, Engineering, Sales, Operations and Growth to understand their data needs and build solutions that help drive business impact. In addition to interfacing with non-technical team members, you will rely on your strong technical skills to collaborate with Senior and Staff engineers in the Application Development and Platform Engineering teams to ensure that the products that they are building are compatible with Data Analytics best practices.

You will use your strong problem-solving skills to dig into performance issues and ensure that all analytics we create meet our SLAs. We want you to evangelize best practices when it comes to Data Analytics and Data Engineering and help build a best-in-class Data Warehouse platform.

What you'll do

  • Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value
  • Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights
  • Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features
  • Translate complex data findings into clear, compelling stories for both technical and non-technical audiences
  • Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams
  • Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance
  • Establish best practices and guidelines for data quality, privacy, and access control
  • Identify opportunities to improve the analytics platform's performance and report usage
  • Collaborate with engineering teams to define service level agreements (SLAs) for data products
  • Mentor and guide junior members of the data team

What we're looking for

  • Bachelor's degree in a STEM field or equivalent
  • 7+ years of experience in an Analytics or Business Intelligence role
  • 5+ years of experience performing complex data analysis and demonstrating mastery with SQL
  • 5+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool
  • 3+ years of experience using dbt and Snowflake
  • Expertise in relational and dimensional database structures, principles, and best practices
  • Proven ability to collaborate with Data Engineering teams to architect a data platform
  • Experience working in Agile SCRUM teams
  • Strong project management and independent work skills
  • The ideal candidate is excited to work in a fast-paced, dynamic startup environment
  • Our Stack

  • Languages + Frameworks : TypeScript, React, Scala (principally), Java (limited)
  • Datastores : MySQL, PostgreSQL, Snowflake
  • Cloud : AWS
  • Version control : Git & GitHub
  • AI Tooling : Copilot on GitHub
  • Observability : Datadog
  • When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $145,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and / or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite

    Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

    Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

    As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

    Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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    Senior Data Analyst • Los Angeles, CA, US

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