Job summary
Job post source
This job is directly from Uber
Job overview
The Senior Data Analyst, Public Safety at Uber is responsible for leveraging big data to uncover trends and insights that support Uber's safety mission and strategic decision-making.
Responsibilities and impact
The role involves writing complex SQL queries, using Python for data transformation and automation, preparing large datasets, building scalable data pipelines, developing dashboards with Tableau, integrating external data via APIs, conducting deep-dive analyses, and communicating findings to stakeholders.
Compensation and benefits
For Dallas, TX-based roles, the salary ranges from $122,000 to $135,500 per year, with eligibility for bonuses, equity awards, and various benefits detailed on Uber's careers site.
Experience and skills
Candidates should have 4+ years in business or data analytics, strong SQL and Python skills, experience in data extraction and pipeline building, and familiarity with Tableau, real-time data processing tools, API integrations, and preferably Large Language Models and Generative AI.
Company information
Uber is a technology company focused on transportation and safety, with a mission to enhance operational efficiency and public safety through data-driven solutions.
Team overview
The candidate will collaborate closely with data scientists, product managers, and cross-functional teams focused on public safety initiatives.
Job location and travel
The position is based in Dallas, TX, with details on remote work or travel not specified.
Unique job features
The role offers exposure to advanced technologies such as APIs, Large Language Models, Generative AI, and real-time data processing platforms like Presto SQL, Hive, and Spark.
Company overview
Uber Technologies, Inc. is a global technology company that revolutionized the transportation industry by offering ride-hailing services through its mobile app, connecting passengers with drivers of vehicles for hire. Founded in 2009 by Garrett Camp and Travis Kalanick, Uber has expanded its services to include food delivery through Uber Eats, freight transportation, and even autonomous vehicle research. The company generates revenue primarily by taking a percentage of each fare from rides and deliveries. Uber's growth has been marked by significant milestones, including its initial public offering in 2019, and it continues to innovate in the mobility sector while navigating regulatory challenges worldwide.
How to land this job
Tailor your resume to emphasize your advanced SQL and Python skills, highlighting experience in data extraction, wrangling, and pipeline development relevant to Uber's Public Safety team.
Focus on showcasing your ability to analyze large datasets, develop scalable data workflows, and create insightful dashboards using tools like Tableau, aligning with the job's technical and business storytelling requirements.
Apply through multiple channels including Uber's official careers page and LinkedIn to maximize your application's visibility and reach within the company.
Connect with current employees in Uber's Public Safety or Data Analytics divisions on LinkedIn; use ice breakers such as commenting on recent Uber safety initiatives or asking about the impact of Generative AI in their work to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords from the job description like 'SQL,' 'Python,' 'data pipelines,' 'Tableau,' 'API integration,' and 'Large Language Models' to ensure your resume passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find LinkedIn contacts for networking, allowing you to focus your time on preparing for interviews and refining your skills.
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