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Senior Data Analyst

About KOHO

KOHO’s purpose is to empower Canadians to build a great financial foundation with products that are radically transparent and easy to manage. We first launched in 2017, and we have since built a community of over 1.5 million users. Leading investors around the globe believe in our vision, and we’ve successfully raised over $320M to make our vision a reality.

 

Discover our culture here and get the inside scoop from our team here!

About the Role

At KOHO, our Senior Data Analysts are strategic partners who transform raw information into actionable business impact. We're seeking an experienced analyst who thrives at the intersection of technical expertise and business strategy to join our data team. In this role, you'll own key domains within our fintech ecosystem, turning complex financial data into pipelines and clear narratives that drive decision-making at all levels. The ideal candidate is both technically proficient and business-savvy, equally comfortable optimizing a complex SQL query as they are presenting insights to stakeholders.

What You'll Do

  • Own large data domain(s): integrating data requirements into project planning, collaborate with multiple cross-functional teams, building pipelines and dashboards, coordinate with other data team members on team projects and preserving our data warehouse as the source of truth at KOHO

  • Design and optimize data models with a strong focus on performance, leveraging advanced DBT features independently

  • Develop dashboards that go beyond visualization to answer critical business questions and support strategic decision-making

  • Proactively identify trends and opportunities through deep data analysis, thinking beyond immediate requests to uncover additional relevant insights

  • Partner with stakeholders to refine requirements, offering data-driven recommendations that align with business priorities and maximize impact

  • Autonomously own project planning and participate in cross functional domain ownership

  • Mentor team members and contribute to establishing best practices within the data organization

Who You Are

  • You have 5+ years of experience in data roles

  • You can write, review and enhance SQL queries with a strong focus on code performance

  • You demonstrate advanced expertise in DBT, independently implementing complex features and understanding shared team pipelines

  • You have strong version control skills with Git, efficiently analyzing code history and reviewing PRs for quality and performance

  • You are a strong data story teller: you can adapt communication to different audiences and clearly articulate recommendations that connect technical work to strategic business outcomes.

  • You proactively identify work that should be prioritized based on business needs and collaborate effectively with stakeholders across domains

A bonus if you have experience or an interest in any of the following!

  • You are DBT certified

  • Financial industry experience

  • Track record of driving process improvements and implementing data governance standards

What's In It For You?

We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:

 

🧘‍♂️ Balance Your Life - Company-wide summer wellness days, winter holiday closure, personal days, a wellness spending account, and maternity & parental leave top-up

💻 Remote First - Work from anywhere in Canada with a budget to set up your home office

🆙 Level Up - Access to an in-house certified performance coach and an annual training budget

🙌 The KOHO Culture - We have won 7 "Great Place to Work ®" awards since 2019

🤝 Be an Owner - Every KOHO employee gets a generous amount of equity with a 10 year exercise window

 

The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact peopleaccessibility@koho.ca and the People and Culture team will be happy to help.

 

#LI-Remote

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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Senior Data Analyst, KOHO

At KOHO, we’re on a mission to empower Canadians to build a great financial foundation, and we're looking for a Senior Data Analyst to help us achieve our goals. Since our launch in 2017, we’ve built a community of over 1.5 million users and raised over $320M from leading global investors. As a Senior Data Analyst, you’ll play a crucial role in transforming raw data into actionable insights that drive our business strategy. You'll have the chance to own large data domains within our fintech ecosystem, integrating with cross-functional teams to create data pipelines and dashboards that are not just visual but also answer critical business questions. Your expertise in SQL and DBT will be key as you design data models and optimize performance; you’ll be diving deep into analysis to identify trends and opportunities that support decision-making. We're looking for someone who can communicate effectively with different stakeholders, translating complex data narratives into strategic recommendations. Plus, you’ll have the opportunity to mentor team members and establish best practices within our data organization. At KOHO, we believe in investing in our people, so you can expect a supportive culture that promotes work-life balance, continuous learning, and personal growth. If you’re excited about being part of a dynamic team where your insights will have a true impact, then KOHO could be the perfect fit for you!

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

As a Senior Data Analyst at KOHO, you will own large data domains and integrate essential data requirements into project planning. You’ll collaborate with multiple cross-functional teams to build data pipelines and dashboards that support strategic decision-making. Analyzing data trends to provide actionable insights and mentoring team members will also be key parts of your role.

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What qualifications are needed to apply for the Senior Data Analyst position at KOHO?

To apply for the Senior Data Analyst role at KOHO, you should ideally have over 5 years of experience in data roles with a strong emphasis on SQL coding and DBT proficiency. Candidates should also demonstrate excellent communication skills and the ability to transform data analytics into actionable business strategies.

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What technical skills are required for the Senior Data Analyst role at KOHO?

In the Senior Data Analyst position at KOHO, you will need to possess advanced SQL skills for writing and optimizing queries, as well as expertise in DBT for model design and implementation. Experience with version control systems like Git is also essential for maintaining code quality and history.

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Is financial industry experience required for the Senior Data Analyst job at KOHO?

While financial industry experience is considered a bonus for the Senior Data Analyst role at KOHO, it is not strictly required. What is essential is having a solid background in data analysis and the ability to apply analytical skills to business contexts, regardless of the industry.

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What can I expect from the work culture at KOHO as a Senior Data Analyst?

At KOHO, you can expect a collaborative and creative work culture that values diverse perspectives. We’ve been recognized with multiple 'Great Place to Work' awards, and we focus on work-life balance, offering remote work options, wellness days, and personal growth opportunities. Your contributions will be valued and you'll be part of a team that fosters an inclusive environment.

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Common Interview Questions for Senior Data Analyst
Can you describe your experience with SQL and how you optimize your queries?

When discussing your SQL experience, focus on specific projects where you had to optimize queries for performance. Share how you analyze query execution plans and use indexing strategies to enhance efficiency, and give examples of how this positively impacted business outcomes.

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How do you approach transforming raw data into actionable insights?

You should explain your analytical process, starting with understanding business needs, identifying key metrics, and conducting thorough analysis. Discuss how you visualize data insights through dashboards or presentations to effectively communicate your findings to stakeholders.

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What methodologies do you use when building data models?

In responding to this question, describe the techniques you utilize for designing data models, such as entity-relationship modeling and dimensional modeling. Emphasize the importance of performance optimization and ensuring that models align with business objectives.

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How do you handle collaboration with cross-functional teams?

Talk about your communication strategy and approach to collaboration. Mention specific instances where you successfully partnered with other departments to fulfill data requirements or drive a project, emphasizing your adaptability and stakeholder engagement skills.

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Can you provide an example of identifying a trend or a significant insight from data analysis?

Share a compelling story about a time you uncovered a critical trend or insight that had a major impact on business decisions. Explain your method for analyzing the data, the tools you used, and how your insight shaped strategic initiatives.

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What do you believe is essential for effective data storytelling?

Highlight the significance of understanding your audience when crafting data stories. Explain how you connect technical findings to business and strategic outcomes using clear, visual presentations that resonate with various stakeholders.

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How do you prioritize your work when managing multiple data projects?

Describe your approach to project management and prioritization, such as using tools or frameworks to assess urgency and impact. Be sure to showcase your ability to remain organized and deliver high-quality work under tight deadlines.

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What experience do you have in mentoring or leading team members?

If applicable, share your experiences in mentoring or training colleagues, focusing on your leadership style. Discuss the skills you aim to foster in others and how mentoring has impacted their performance and team dynamics.

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How do you ensure data quality and integrity in your analysis?

Discuss the processes and tools you utilize for validating data quality, such as automated testing or data validation techniques. Convey your commitment to maintaining data integrity and how this underpins reliable analysis.

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What strategies do you find effective for keeping up-to-date with data trends and technologies?

Share the resources you rely on, such as industry blogs, webinars, or online courses, to stay informed about data trends and technologies. Highlight your commitment to continuous learning and adaptability in a fast-evolving field.

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Full-time, remote
DATE POSTED
April 11, 2025

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