Job summary
Job post source
This job is directly from Standard AI
Job overview
The Senior Data Analyst at Standard AI plays a crucial role in transforming data into actionable insights to drive business decisions and growth, working closely with cross-functional teams.
Responsibilities and impact
The role involves delivering actionable insights, creating dashboards and visualizations, writing SQL queries for large datasets, supporting experimentation through A/B testing, ensuring data accuracy, and promoting best analytical practices.
Compensation and benefits
The position offers a salary range of $90-125k, with no mention of bonuses or specific benefits; visa sponsorship is not available.
Experience and skills
Candidates should have 4+ years in data or analytics roles, advanced SQL skills, familiarity with Python, data visualization tools, statistical techniques, project management, and strong communication skills; preferred experience includes modern data stacks and retail analytics.
Work environment and culture
The company operates with a globally distributed team across the US and Europe, emphasizing a fast-paced, cross-functional environment with a culture of continuous improvement and data literacy.
Company information
Standard AI is a US-based tech company founded in 2017, specializing in retail analytics with its VISION Analytics Platform and Visual Engagement Score to help retailers understand shopper behavior.
Job location and travel
The job is remote, allowing work from any location.
Unique job features
The role offers the unique opportunity to work on innovative retail analytics products like the Visual Engagement Score and collaborate across multiple departments to influence strategic decisions.
Company overview
Standard AI is a technology company specializing in artificial intelligence solutions for retail, most notably its autonomous checkout platform that enables stores to operate without traditional cashiers by using computer vision and machine learning. The company generates revenue by selling its AI-powered checkout systems and related software services to retailers, helping them modernize operations, reduce labor costs, and enhance customer experiences. Founded in 2017 and headquartered in San Francisco, Standard AI has raised significant venture capital and partnered with major retail brands to deploy its technology in real-world environments. Candidates should know that Standard AI is recognized for its innovation in transforming physical retail through advanced AI, and its leadership team includes experienced entrepreneurs and engineers. The company’s mission centers on making retail more efficient and accessible by leveraging cutting-edge artificial intelligence.
How to land this job
Tailor your resume to highlight your advanced SQL skills, experience with data visualization tools like Tableau or Looker, and your ability to deliver actionable insights that drive business decisions, as emphasized by Standard AI.
Focus on showcasing your experience with cross-functional collaboration, project management, and your capacity to simplify complex data topics for diverse audiences, aligning with the job's emphasis on communication and teamwork.
Apply through multiple platforms including Standard AI's corporate careers page and LinkedIn to maximize your application visibility and increase your chances of being noticed.
Connect with professionals in the Data Analytics division at Standard AI on LinkedIn; start conversations by referencing recent company innovations like their Visual Engagement Score or by asking about their approach to data-driven retail insights as effective ice breakers.
Optimize your resume for ATS by incorporating keywords from the job description such as 'SQL,' 'data visualization,' 'A/B testing,' 'experiment design,' and 'cross-functional collaboration' to ensure it passes initial 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 more on preparing for interviews and refining your skills.
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