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Data Analyst

We’re Scan.com, the digital health scale-up making diagnostics accessible, fast, and transparent. Our technology speeds up diagnoses for timely treatments, improving healthcare outcomes for hundreds of patients each day.

We’re doing diagnostics differently, with a portfolio of brands tailored to both patients and providers, all backed by our world-class customer operations team. Our B2C marketplace simplifies booking a scan, making it as straightforward for patients as booking a hotel. Our B2B platforms provide live scheduling at the point of care and harness AI to ease workflows for physicians, attorneys, and providers.

We’re looking for a Data Analyst at an exciting time - we’ve successfully launched multiple platforms and products, raised over $70m in VC funding, reached profitability, and have a growth trajectory of over 100% YoY.

WHAT YOU WILL BE GETTING INVOLVED IN:

The Data Analyst will play a critical role in supporting our business by developing and maintaining reports, analyzing data, and providing insights that drive strategic decisions. The ideal candidate will have a strong background in data analysis and a proven record of delivering actionable insights.

This position is an exciting opportunity for someone passionate about leveraging data and BI tools to support business decision-making while working collaboratively within a dynamic, fast-paced environment.

As a scaleup business, you can expect your role to develop over time. Here are some of the types of things you could be getting involved in:

  • Partnering: Partner with your data peers and the wider business stakeholders to ensure we effectively respond to high-priority needs with clear outcomes. You will need to expect a mixture of ad-hoc work and developing data products which enable us to scale.

  • Enabling Self-Service: Develop high-quality insights and visualization products utilizing technical skills and data storytelling principles that allow users across the business to engage with and understand data about a specific topic better without requiring the direct support of a data professional.

  • Implementing Metrics: Help to design and implement a set of metrics that summarize performance from company success whilst ensuring that their foundations are reliable.

  • Data Champion: Help to push the data organization towards higher performance by working with your data peers on issues affecting impact or process/tooling/data challenges hindering the progress of data scaling and our data culture.

THE TOP 5 THINGS WE WANT YOU TO ACHIEVE IN YOUR FIRST YEAR ARE:

  • Enable fast and confident decision-making across the business through timely focused analytics. Success will be measured in the time to insight and the proportionate impact of the data insights informing business decisions.

  • Implement the metrics that enable stakeholders to observe and influence their and the company's performance. Success will be measured through qualitative feedback on the suitability of the metrics we use in our reporting and analysis and the actions they have enabled.

  • Continuously surface analytical barriers and help us evolve to overcome them. Success will be measured by the absence of recurring themes for improvement in Company-wide retros, surveys, and user interviews.

  • Partnering for self-service. All the training, data literacy and support for behavior change needed to make self service learning possible. Success will be measured by being able to have at least one partnering success story where we were able to take someone from directly needing help to self-service via a data product.

  • Stretch in the direction of your development goals. Be curious, find your stretch! This could be building better dashboards, developing friendly data, deepening your commercial understanding or learning about data science techniques. It will be up to you to drive your own development and set what success looks like for this through your mastery goals with all the support you need along the way.

WHAT YOU MIGHT BRING TO THE TABLE:

You don't need to tick all the boxes to apply for this role. Whether it's your first role or your fifth role, we believe everyone can add value, learn, and grow. However, these might be some of the ways you are currently adding value:

  • Demonstrable experience of partnering with the business to be able to produce data, reporting or analytics products, ideally that have automated self-service reporting and learning to support recurring needs.

  • Experience with SQL (e.g. joins, window calculations, parsing JSON, CTEs, etc.) in a cloud-based environment (Snowflake & dbt Cloud).

  • High proficiency with Tableau and Excel/Google Sheets

  • Experience with dbt Core or dbt Cloud

  • An understanding of development processes like code reviews and testing

  • Statistical knowledge preferred

  • Great communicator with good understanding of how to implement metrics of success for teams and explain them to others in easy-to-understand terms.

  • A growth mindset, with a hunger for learning and a desire to keep improving your mastery of the craft.

  • An entrepreneurial spirit with the ability to thrive in a high ambiguity, fast paced environment that gives you the ownership and freedom to succeed.

HOW WE WILL INTERVIEW YOU:

We keep our interview process short and sweet, and we’re a nimble team that can progress at pace. Here are the stages you can expect, but we might switch up the order of each step depending on team availability:

  1. Introductory call/interview with Devin, our Senior Talent Partner. The call is via telephone and will last around 30 minutes.

  2. Should it feel like there is an initial fit for all, we will invite you to a video call with the hiring manager for around 45 minutes. This is a more structured interview that will deep-dive into the role and technical needs.

  3. All of our roles will have a small assessment stage. This might be in person, a take-home assessment, or further video calls. Length varies, but we’re mindful of your time and try to keep it as simple as possible.

  4. Meet the founders and/or other team members. Again, length varies depending on how many people and whether in person or via video call.

  5. Offer!

BENEFITS:

We go beyond the basics with our benefits package. Here’s what you can expect from us:

  • Salary range of $60K-$75K

  • 401k

  • Healthcare, Vision and Dental

  • All the equipment needed for you to do your role effectively

  • Flexible working

  • Remote or hybrid working options

  • Personal Development budgets

  • 18 days PTO plus public holidays

  • 10 paid sick days

  • Inclusive policies designed by our team, for our team

Diversity at SCAN.COM

Scan.com is committed to eliminating discrimination and encouraging diversity within our team.

We strive to provide equality and fairness for all job applicants and employees, and never discriminate on the basis of gender, marital status, age, race, ethnicity, religion, or physical differences.

We are opposed to all forms of unlawful treatment and discrimination.

Our ambition is for our team and its Board to be representative of the diversity in society, and for every employee to feel respected and able to bring their best selves to work.

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CEO of Scan.com
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Charlie Bullock
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Average salary estimate

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$75000K

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What You Should Know About Data Analyst, Scan.com

At Scan.com, we're excited to welcome a passionate Data Analyst to our innovative team in Atlanta! Our mission is making diagnostics accessible, fast, and transparent. As a crucial player in our company, you will develop and maintain insightful reports that will help steer strategic decisions across our rapidly growing organization. Imagine diving deep into our data, analyzing trends, and turning complex information into easy-to-understand insights that have a real-world impact! With a recent infusion of over $70 million in VC funding and a remarkable growth trajectory of over 100% year-on-year, this is the perfect time to join us on this thrilling journey. You'll collaborate with peers and business stakeholders to create self-service data products, allowing users to effortlessly navigate and utilize insights without constant guidance. You’ll help shape the metrics that summarize our success and partner with your colleagues to enhance our data culture. Your expertise in SQL, Tableau, and a growth mindset will be invaluable as you embark on stimulating challenges! You won't just be crunching numbers; you'll be a pivotal force in enabling confident decision-making across the business. Plus, at Scan.com, we put great emphasis on personal development, so expect to expand your skills continually while enjoying the flexibility of remote or hybrid working. Join us, and let’s transform healthcare together!

Frequently Asked Questions (FAQs) for Data Analyst Role at Scan.com
What are the main responsibilities of a Data Analyst at Scan.com?

As a Data Analyst at Scan.com, you will be primarily responsible for developing and maintaining reports, analyzing data, and generating insights to support strategic decisions. You will work closely with various stakeholders, creating data products to enable self-service analytics and enhancing performance metrics. Collaboration will be key as you help push the data organization toward higher performance.

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What qualifications are required for the Data Analyst position at Scan.com?

The ideal candidate for the Data Analyst position at Scan.com should have demonstrable experience in data analysis and reporting. Proficiency in SQL, Tableau, and spreadsheet tools (like Excel or Google Sheets) is essential. A background in statistical analysis, familiarity with development processes, and a strong communication skill set will greatly complement your application and help you thrive in this role.

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What tools do Data Analysts at Scan.com use?

Data Analysts at Scan.com typically utilize tools such as SQL for data extraction and manipulation, Tableau for data visualization, and Excel or Google Sheets for reporting. Additionally, familiarity with dbt Core or dbt Cloud is beneficial as we emphasize self-service reporting and automated processes to support recurring data needs.

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How does Scan.com support the professional development of Data Analysts?

Scan.com is deeply committed to the professional growth of its employees, including Data Analysts. We offer personal development budgets, flexible working arrangements, and a culture that encourages innovative thinking and experimentation. Expect to have opportunities to learn new data science techniques, develop better dashboards, and enhance your overall skill set while contributing effectively to our business.

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What does the interview process look like for a Data Analyst at Scan.com?

The interview process for a Data Analyst role at Scan.com consists of several stages designed to ensure a great fit for both you and our team. It begins with a brief introductory call, followed by a more in-depth video interview with the hiring manager. Candidates will also go through a small assessment, and finally, they'll meet with team members or the founders. We strive to keep the process efficient, allowing for a timely decision after the interviews.

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Common Interview Questions for Data Analyst
Can you describe a challenging data analysis project you worked on?

When asked about a challenging data analysis project, focus on a specific example that demonstrates your analytical skills and problem-solving abilities. Describe the project context, your role, the challenges faced, and how you overcame them. Highlight the tools used and the impact of your analysis on decision-making or outcomes.

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

To ensure accuracy and reliability, validate your data through cross-referencing multiple sources. Discuss the importance of cleansing the data before analysis and the role of documentation in maintaining data integrity. Additionally, mention any specific techniques or tools you use to assess data quality.

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What experience do you have with SQL as a Data Analyst?

Be specific about your experience with SQL when answering this question. Discuss types of queries you've written, complex joins you've managed, or insights you've derived from data. Mention any experience with cloud-based environments like Snowflake and how it enhanced your analytical capabilities.

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How do you communicate data insights to non-technical stakeholders?

Explain how you simplify complex data insights for non-technical audiences by using data storytelling principles and effective visualizations. Provide examples of how you've tailored your presentations or reports to meet the needs of various stakeholders, ensuring they can easily understand and utilize the insights provided.

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Can you give an example of how you helped improve a team's data-related processes?

Provide an example where you identified inefficiencies in data processes and collaborated with the team to implement improvements. Focus on the analyses conducted, the solutions proposed, and the positive impact these changes had on team performance or decision-making.

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What metrics do you believe are essential for measuring business performance?

Discuss key performance indicators (KPIs) relevant to the business context. Explain why each metric is important, how it should be measured, and how it can influence strategic decisions. Tailor your response to reflect an understanding of Scan.com’s goals and industry nuances.

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Describe your experience with data visualization tools like Tableau.

Highlight your proficiency with Tableau by discussing specific projects where you utilized the tool to create impactful visualizations. Explain how these visualizations helped drive action or change within the organization and any best practices you follow when designing dashboards.

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How do you stay updated with the latest trends in data analysis?

Share your methods for staying updated on data trends, such as following industry blogs, participating in webinars, or taking online courses. Mention specific resources or communities where you learn new skills, emphasizing your commitment to continuous improvement and adaptability.

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What role do you see data playing in decision-making at a company like Scan.com?

Articulate your vision of data as a vital component of strategic decision-making. Discuss how data analysis can provide insights that inform projects, enhance patient experiences, and contribute to overall growth. Relate your answer to Scan.com’s mission and the impact of data-driven strategies.

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How do you approach collaborating with cross-functional teams?

Discuss your collaborative approach, highlighting your ability to communicate effectively with cross-functional teams. Provide examples of successful projects where you worked with stakeholders from different departments, emphasizing the importance of fostering relationships and aligning on goals.

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Full-time, hybrid
DATE POSTED
April 13, 2025

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