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Amazon Data Analytics Lead - eero Bizops 
United States, California, San Francisco 
846363844

12.06.2024
DESCRIPTION

Overview of roleData Analytics is a critical function at eero, reporting to the . This role will work closely with the Sales, Marketing, Finance, BI, Manufacturing, and Operations teams to develop robust operational processes and data-informed analyses, ultimately supporting successful business growth, operational efficiency, and sales acceleration. As a Data Analytics Lead, you will be responsible for architecting scalable, best-in-class business intelligence solutions and processes. This is a highly visible role in which you will have a high degree of autonomy, and outsized impact.We’re looking for someone who:
- Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it.- Has experience managing stakeholders at all levels.- Has impeccable attention to detail, follow-through, and resourcefulness.What you will do:
- Build the Business Intelligence roadmap: you will spot the highest priority business intelligence initiatives and improvement areas, and plan to address those in the short, medium and long term- Produce value-added data analyses to enable executive decision making or a change in the status quo: our business generates a lot of data and only so much can be analyzed effectively to drive decision making. As you get to know the business from multiple perspectives, you'll be responsible for proactively bringing together data insights and crafting data-informed stories.- Enable data access, literacy and self-sufficiency: As you work with various teams at eero, you will gather a sense of their business and data-related needs, and craft scalable solutions to address them. You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.San Francisco, CA, USA

BASIC QUALIFICATIONS

- 5+ years of SQL experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results


PREFERRED QUALIFICATIONS


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.