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Data Analytics Lead - eero, Bizops

Description

Overview of role

Data Analytics is a critical function at eero, reporting to the Head of Business Operations. 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:
- Is highly analytical and process-driven, can assist with strategic planning, drive decisions forward, execute on high-impact projects, and lead through influence.

- 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.

- Demonstrates ability to think strategically and analytically about business, product, and operational challenges.

- Has experience managing stakeholders at all levels.

- Enjoys rolling up their sleeves in a fast paced startup environment and getting things done.

- Is able to work cross-functionally with many teams and multi-tasks with a sense of urgency.

- Has an uncanny ability to embrace ambiguity and see around the corners.

- 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

- Work closely with our Finance and BI teams on consolidating key data sources in one place, building the foundation to enable efficient data analysis.

- 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.

- Drive weekly, monthly, and quarterly business reporting to leadership across eero and Amazon: you will be the hub for business data and communication, and act as the primary point of contact for key business data for some of eero’s largest sales channels.

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

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Average salary estimate

$160050 / YEARLY (est.)
min
max
$117300K
$202800K

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What You Should Know About Data Analytics Lead - eero, Bizops, Amazon

Are you ready to take the lead as a Data Analytics Lead at eero in Washington, USA? This position is crucial for shaping data-driven strategies that propel our business forward. As part of the Business Operations team, you'll collaborate closely with Sales, Marketing, Finance, and Operations to create robust data processes that enhance operational efficiency and drive sales growth. In this highly autonomous role, you'll architect top-notch business intelligence solutions that address our ongoing needs. We're looking for a skilled analytical thinker with a knack for numbers, who can spot inconsistencies and automate tedious processes. Your strategic mindset will be vital in addressing complex operational challenges and managing relationships across various stakeholders. Expect to roll up your sleeves in our fast-paced startup environment and bring clarity to ambiguous situations. Your attention to details and resourcefulness will set the tone for the kind of data-driven narratives that empower executive decision-making. This role includes building a comprehensive Business Intelligence roadmap and producing insightful analyses that unify distinct business perspectives. You’ll also drive reporting processes for leadership across eero and Amazon, ensuring our big sales channels have access to crucial data. If you're passionate about data, love working cross-functionally, and want to make a real impact, this is the opportunity for you at eero. Join us and help shape the future of connectivity!

Frequently Asked Questions (FAQs) for Data Analytics Lead - eero, Bizops Role at Amazon
What are the responsibilities of a Data Analytics Lead at eero?

As a Data Analytics Lead at eero, your primary responsibilities include developing scalable business intelligence solutions, working closely with various teams like Finance and Operations, and producing valuable data analyses to aid executive decision-making. You will be integral in establishing robust reporting frameworks, automating data processes, and ensuring cross-functional collaboration.

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What qualifications are required for the Data Analytics Lead position at eero?

To qualify for the Data Analytics Lead role at eero, you should have at least 5 years of SQL experience, hands-on experience with data visualization tools like Tableau or Quicksight, familiarity with AWS technologies, and proficiency in scripting with Python. Additionally, experience with statistical analysis and translating data needs into actionable business insights is highly desirable.

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What skills are important for a Data Analytics Lead at eero?

Important skills for a Data Analytics Lead at eero include strong analytical and strategic thinking capabilities, exceptional attention to detail, and the ability to communicate complex data insights effectively. Moreover, experience in stakeholder management and a collaborative mindset are crucial for driving impactful projects and initiatives.

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How does the Data Analytics Lead contribute to business growth at eero?

The Data Analytics Lead at eero contributes to business growth by architecting data-driven strategies that enhance operational processes and accelerate sales. Through insightful data analyses and a comprehensive understanding of the business landscape, you’ll provide the insights needed for informed executive decisions and competitive advantage.

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What is the work environment like for a Data Analytics Lead at eero?

The work environment for a Data Analytics Lead at eero is dynamic and fast-paced, conducive to innovation and collaboration. You will be working in a startup culture that embraces autonomy and encourages teamwork across different functions, allowing you to roll up your sleeves and make tangible impacts on the organization's data practices.

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Common Interview Questions for Data Analytics Lead - eero, Bizops
How do you approach data visualization and reporting for stakeholders?

When approaching data visualization and reporting, I prioritize understanding my stakeholders' needs first. I tailor visualizations to effectively communicate insights, focusing on clarity and usability to ensure stakeholders can easily interpret and act on the data presented.

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Can you describe a time when your analysis led to a significant business decision?

In a previous role, my analysis of sales data revealed trends indicating a need for product adjustments. I presented this to the leadership team, which led to strategic changes that increased our sales by 15%. It was rewarding to see how actionable insights could drive real business impact.

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What tools do you prefer for data analysis and why?

I prefer using SQL for data querying due to its robustness, and Tableau for visualization as it offers a user-friendly interface with powerful capabilities. Together, they allow for a comprehensive analysis that satisfies both data integrity and visual storytelling.

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How do you handle discrepancies in data?

When I encounter discrepancies in data, I start by conducting a thorough review to trace the source. I engage relevant stakeholders to understand the context better, and once I identify the root cause, I implement corrective measures and streamline processes to prevent future issues.

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Describe your experience working with cross-functional teams.

I have extensive experience collaborating with cross-functional teams. I believe in fostering open communication and understanding each team's objectives, which helps me align data initiatives with broader business goals, ultimately driving successful project outcomes.

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What process do you follow to prioritize data analysis projects?

To prioritize data analysis projects, I evaluate the potential impact on the business, considering factors like urgency, stakeholder requests, and alignment with strategic goals. I consult with team leads to ensure that resources are allocated efficiently.

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How do you stay updated on industry trends in data analytics?

I stay updated on industry trends by following thought leaders in data analytics through blogs, webinars, and online forums. Networking with peers and attending conferences also provide fresh insights and best practices that I can apply to my work.

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Explain how you would automate a manual data process.

To automate a manual data process, I first analyze the current workflow to identify repetitive tasks. Next, I evaluate tools and technologies that can facilitate automation, such as scripting with Python or utilizing ETL processes, ensuring minimal disruption during implementation.

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How do you ensure the accuracy and reliability of your data analyses?

I ensure the accuracy and reliability of my analyses by implementing rigorous validation processes, cross-referencing multiple data sources, and continuously checking for data quality. This proactive approach minimizes errors and builds trust in the insights generated.

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What methods do you use to communicate complex data insights?

When communicating complex data insights, I employ storytelling techniques, using visuals to simplify data narratives. I focus on key takeaways and ensure my message resonates with the audience by tailoring the content to their level of understanding.

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Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 8, 2024

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