Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to analyse data and create impactful dashboards for smart security solutions.
- Company: Ring is revolutionising home security, making it accessible and effective for everyone since 2013.
- Benefits: Enjoy flexible work options, a collaborative culture, and the chance to make a real difference.
- Why this job: Be part of a mission-driven company that values innovation and community safety.
- Qualifications: 3+ years in data analysis, experience with SQL, and familiarity with data visualisation tools required.
- Other info: Work closely with diverse teams and contribute to exciting product launches.
The predicted salary is between 36000 - 60000 £ per year.
Business Intelligence Engineer, Ring Decisions Sciences Platform
Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?
About Ring
Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the first-ever video doorbell, to the award-winning DIY Ring Alarm system, Ring’s smart home security product line, as well as the Neighbors app, offer users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone — while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.
Ring is looking for an insightful and analytical Business Intelligence Engineer with strong business and technical skills to join our Business Intelligence team. In this role, you will partner with product management, engineering, quality assurance and other BI teams that power Ring. Your work will be instrumental to achieving its mission, be highly visible to Ring / Amazon leadership, and will drive key strategic company goals.
The Business Intelligence Engineer, Ring Decision Sciences Platform BI team will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research.
Key job responsibilities
* Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
* Work with the ios and Android development and product teams to identify gaps and trends.
* Analyze large data sets using a variety of database query and visualization tools
* Provide technical expertise in extracting, integrating, and analyzing critical data
* Anticipate, identify, structure, and solve critical problems
* Design and develop key performance metrics and indicators using standardized and custom reports
* Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases.
* Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base
* Partner with subject matter experts to document and translate business requirements into technical requirements
* Manage multiple projects and proactively communicates issues, priorities, and objectives
* Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base
* Partner with BI architects to provide valuable inputs to remodel the existing data warehouse.
A day in the life
As you lead the Business Intelligence Engineering (BIE) efforts for an upcoming device launch, your day involves collaborating closely with Product, Program, Firmware, and various other engineering teams. Having already identified the key signals to analyze device performance based on feature sets, you spend time aligning on proper definitions to analyze these features, meeting with engineering teams to instrument appropriate signals, maintaining data pipelines, and refining comprehensive dashboards. Throughout the day, you monitor platform performance while advancing initiatives to improve Ring\’s analytics through AI workflow implementation.
About the team
The Ring Decision Sciences Platform is responsible for the data strategy, architecture, governance, science, and software services Ring teams use to inform business strategy or power experiences with data. The central Data Science and Analytics team (within Decision Sciences and the team where this role is based) is responsible for core business metrics, shared data models, AI/ML models, business intelligence dashboards, and business analysis/science support.
BASIC QUALIFICATIONS
– 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
– Experience with data visualization using Tableau, Quicksight, or similar tools
– Experience with data modeling, warehousing and building ETL pipelines
– Experience in Statistical Analysis packages such as R, SAS and Matlab
– Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
– Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
– Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr
Business Intelligence Engineer, Ring Decisions Sciences Platform employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer, Ring Decisions Sciences Platform
✨Tip Number 1
Familiarise yourself with Ring's products and services. Understanding their mission to enhance neighbourhood security will help you align your skills and experiences with their goals during discussions.
✨Tip Number 2
Network with current or former employees of Ring, especially those in the Business Intelligence team. They can provide insights into the company culture and the specific challenges faced by the team, which can be invaluable during interviews.
✨Tip Number 3
Brush up on your technical skills relevant to the role, particularly SQL and data visualisation tools like Tableau or Quicksight. Being able to demonstrate your proficiency in these areas can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss real-world examples of how you've used data to drive decision-making in previous roles. Highlighting your analytical skills and problem-solving abilities will resonate well with the hiring team.
We think you need these skills to ace Business Intelligence Engineer, Ring Decisions Sciences Platform
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Business Intelligence Engineer position. Familiarise yourself with the tools and technologies mentioned in the job description, such as Redshift, Tableau, and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your analytical skills, experience with data visualisation, and any specific projects that demonstrate your ability to work with large datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background makes you a great fit for Ring. Mention specific examples of how you've used data to drive decision-making in previous roles.
Highlight Technical Skills: In your application, be sure to clearly list your technical skills, especially those related to data modelling, ETL processes, and statistical analysis. This will help demonstrate your qualifications for the role and catch the attention of hiring managers.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
As a Business Intelligence Engineer, your ability to analyse and interpret data is crucial. Be prepared to discuss specific examples of how you've used tools like SQL, Tableau, or Python to solve complex problems or improve processes in previous roles.
✨Understand Ring's Mission
Familiarise yourself with Ring's mission to enhance neighbourhood safety. During the interview, express how your skills and experiences align with this mission, and be ready to discuss how you can contribute to their goals through data-driven insights.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, ETL processes, and statistical analysis. Brush up on your knowledge of Redshift, Oracle, and NoSQL databases, as well as any relevant statistical packages like R or SAS, to demonstrate your expertise.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex data concepts in simple terms, as you'll need to convey findings to non-technical stakeholders. Highlight your experience in documenting business requirements and translating them into technical specifications.
