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Senior Data Analyst

Data is at the core of modern business, yet many teams struggle with its overwhelming volume and complexity. At Atlan, we’re changing that. As the world’s first active metadata platform, we help organisations transform data chaos into clarity and seamless collaboration.

From Fortune 500 leaders to hyper-growth startups, from automotive innovators redefining mobility to healthcare organisations saving lives, and from Wall Street powerhouses to Silicon Valley trailblazers — we empower ambitious teams across industries to unlock the full potential of their data.

Recognised as leaders by Gartner and Forrester and backed by Insight Partners, Atlan is at the forefront of reimagining how humans and data work together. Joining us means becoming part of a movement to shape a future where data drives extraordinary outcomes.

Why is this role important for us?

Atlan thrives on making smart, data-informed decisions. As a Senior Data Analyst, you are central to this. You'll dive deep into our data to uncover critical insights that others miss. You won't just report numbers; you'll translate data into clear stories and actionable recommendations. Your work will directly shape strategy, guide cross-functional teams, and accelerate Atlan's growth by ensuring we act on robust evidence and insights, approached with an AI-first mindset.

What is your mission?

  1. Your mission is to be a catalyst for data-driven decision-making across Atlan.

  2. You will partner closely with various teams (like Product, Marketing, Sales, and Success) to understand their challenges and opportunities.

  3. You'll conduct in-depth analyses, design experiments, and identify key trends using SQL, our BI platform (Sigma), and potentially Python/R for advanced techniques.

  4. You will champion an AI-first approach to analysis, seeking innovative ways to extract deeper meaning.

  5. Your goal is to deliver compelling insights and clear recommendations that empower your stakeholders to achieve better outcomes.

What makes you an ideal match?

We're looking for a curious, analytical, and collaborative individual passionate about using data to solve problems.

  1. Technical Skills: You have strong SQL skills and experience wrangling complex datasets. You're proficient with BI tools (like Sigma) for exploration and visualization. Experience with Python or R for statistical analysis or modeling is a major plus, aligning with our AI-first approach.

  2. Analytical Mindset: You excel at breaking down ambiguous problems, formulating hypotheses, conducting deep-dive analyses, and synthesizing findings into actionable insights. You think critically about data quality and context.

  3. Communication & Storytelling: You can clearly communicate complex findings and the "story" behind the data to diverse audiences, both technical and non-technical. You create compelling visualizations and narratives.

  4. Collaboration & Influence: You build strong relationships and work effectively with cross-functional teams. You can translate business needs into analytical questions and influence decisions with data.

  5. Proactive & Curious: You don't wait for instructions; you proactively explore data, ask probing questions, and seek out opportunities to drive impact. You're eager to learn and apply new analytical techniques.

  6. AI Ready: While you don’t need to be an AI expert, you need to be exploring the future of AI on analytics, data engineering and business intelligence and ready to make decisions that lay the groundwork for an AI centric data estate

Why Atlan for You?

At Atlan, we believe the future belongs to the humans of data. From curing diseases to advancing space exploration, data teams are powering humanity's greatest achievements. Yet, working with data can be chaotic—our mission is to transform that experience. We're reimagining how data teams collaborate by building the home they deserve, enabling them to create winning data cultures and drive meaningful progress.

Joining Atlan means:

  1. Ownership from Day One: Whether you're an intern or a full-time teammate, you’ll own impactful projects, chart your growth, and collaborate with some of the best minds in the industry.

  2. Limitless Opportunities: At Atlan, your growth has no boundaries. If you’re ready to take initiative, the sky’s the limit.

  3. A Global Data Community: We’re deeply embedded in the modern data stack, contributing to open-source projects, sponsoring meet-ups, and empowering team members to grow through conferences and learning opportunities.

As a fast-growing, fully remote company trusted by global leaders like Cisco, Nasdaq, and HubSpot, we’re creating a category-defining platform for data and AI governance. Backed by top investors, we’ve achieved 7X revenue growth in two years and are building a talented team spanning 15+ countries.

If you’re ready to do your life’s best work and help shape the future of data collaboration, join Atlan and become part of a mission to empower the humans of data to achieve more, together.

We are an equal opportunity employer
At Atlan, we’re committed to helping data teams do their lives’ best work. We believe that diversity and authenticity are the cornerstones of innovation, and by embracing varied perspectives and experiences, we can create a workplace where everyone thrives. Atlan is proud to be an equal opportunity employer and does not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other characteristic protected by law.

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CEO of Atlan
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Prukalpa Sankar and Varun Banka
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Average salary estimate

$105000 / YEARLY (est.)
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$90000K
$120000K

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What You Should Know About Senior Data Analyst, Atlan

At Atlan, we believe that data is the backbone of modern business, and as a Senior Data Analyst, you will play a vital role in transforming data chaos into clarity. Your journey with us means diving deep into a universe of data where you'll uncover insights that others might overlook. You won’t just be crunching numbers; you'll be crafting stories that convey the meaning behind the data and turning them into actionable recommendations. Your insights will directly impact the strategies of various teams within Atlan, from Product and Marketing to Sales and Success. Equipped with your strong SQL skills and proficiency in BI tools like Sigma, you'll conduct thorough analyses and help shape decisions with an AI-first mindset. Your mission is to act as a catalyst for data-driven decision-making, collaborating with cross-functional teams to tackle challenges and seize opportunities. We're looking for someone with a curious mind and an analytical spirit who is eager to explore the ever-evolving landscape of data. If you're passionate about using data to solve real-world problems, come join us at Atlan and help us reimagine how humans and data work together. By being part of our team, you’ll not only own impactful projects but also contribute to a vibrant global data community that is truly shaping the future of data collaboration.

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at Atlan
What are the main responsibilities of a Senior Data Analyst at Atlan?

As a Senior Data Analyst at Atlan, your main responsibilities will include conducting in-depth analyses, designing experiments, and collaborating with various teams like Product, Marketing, and Sales to understand their challenges. You'll utilize SQL and BI tools like Sigma to extract insights and assist in data-driven decision-making, all while promoting an AI-first analytical approach.

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What qualifications are required to become a Senior Data Analyst at Atlan?

To qualify for the Senior Data Analyst role at Atlan, you'll need strong SQL skills and experience in handling complex datasets. Proficiency in BI tools, particularly Sigma, is essential, and knowledge of programming languages like Python or R for advanced analysis is a significant plus. We’re looking for individuals with excellent analytical and communication skills, who can articulate data insights effectively.

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How does the Senior Data Analyst influence decision-making at Atlan?

The Senior Data Analyst at Atlan influences decision-making by providing actionable insights from data analyses that help shape strategies and guide cross-functional teams. By translating complex findings into clear narratives, you empower stakeholders to make informed decisions based on evidence and drive impactful outcomes across the organization.

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What tools and technologies do Senior Data Analysts use at Atlan?

Senior Data Analysts at Atlan utilize tools like SQL for querying databases and BI platforms like Sigma for data exploration and visualization. Additionally, familiarity with programming languages such as Python or R is beneficial for conducting statistical analysis and implementing advanced techniques aligned with our AI-first approach.

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What qualities make an ideal Senior Data Analyst at Atlan?

An ideal Senior Data Analyst at Atlan is not only technically skilled in SQL and BI tools but also possesses strong analytical capabilities to break down ambiguous problems. Excellent communication and storytelling skills are crucial for conveying data insights effectively, along with a proactive and curious nature that seeks to explore data opportunities and drive significant impact.

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Common Interview Questions for Senior Data Analyst
Can you describe your experience with SQL and how you have used it in previous roles?

When answering about your SQL experience, focus on specific projects where you successfully extracted, manipulated, and analyzed data. Discuss the challenges you faced, the queries you wrote, and how your insights contributed to decision-making. Providing concrete examples will demonstrate your expertise.

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How do you approach a data analysis project from start to finish?

Your response should outline your methodology, including defining objectives, gathering data, cleaning and transforming it, conducting analyses, and finally, presenting findings. Emphasize your ability to frame analytical questions based on business needs and the importance of collaboration in this process.

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What BI tools have you used, and how have they improved your work as a data analyst?

Talk about specific BI tools you have experience with, especially Sigma, and highlight how they helped you visualize data, uncover trends, and communicate insights. Share an example of a project where your BI tool usage improved stakeholder understanding or led to actionable decisions.

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Can you explain a time when your analysis led to a significant business impact?

Discuss a particular project where your analysis directly influenced business outcomes. Describe the data you used, the insights you provided, and the resulting changes that were implemented. Highlight how your recommendations were acted upon and the overall impact on the organization.

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How do you ensure data quality and accuracy in your analyses?

To ensure data quality, explain your typical processes, such as data validation techniques, consistency checks, and how you handle missing values or outliers. Mention any experience you have with setting up quality control measures to maintain high standards for the data used in your analyses.

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What statistical techniques are you comfortable using in your analyses?

List specific statistical techniques such as regression analysis, hypothesis testing, or clustering and explain how you've applied these in past projects. Emphasizing your ability to use statistical methods will showcase your analytical depth and capability in handling complex data tasks.

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How do you communicate your findings to non-technical stakeholders?

Highlight your approach to storytelling with data, emphasizing the importance of visualizations and clear narratives to convey insights. Mention any experiences you have had presenting to diverse audiences, illustrating how you tailor your communication style to fit the audience's needs.

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Can you give an example of a problem you faced in a data analysis project and how you solved it?

Provide a specific example of a challenge you encountered during a project. Discuss the steps you took to identify the problem, analyze the situation, and implement a solution. This demonstrates not only your analytical skills but also your problem-solving abilities in a real-world context.

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How do you stay updated on the latest trends and technologies in data analytics?

Mention how you actively consume industry literature, attend conferences, participate in online forums, or take courses. Staying engaged with the latest trends shows your commitment to continuous learning and your proactive approach to leveraging new technologies in your work.

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What excites you about the future of data analytics, especially with an AI-first approach?

Share your enthusiasm for AI and how you envision its impact on the future of analytics. Discuss specific areas where you see opportunities for AI to enhance decision-making, improve efficiencies, or contribute to innovative analytics solutions, tying it back to Atlan's mission.

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To help data teams do more, together! 💪

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Full-time, remote
DATE POSTED
April 13, 2025

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