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Sr. Data Analyst (Remote, Canada)

The Muse

Senior Data Analyst

Location: remote, Canada; other locations will be considered on a case-by-case basis



Our Mission


The Muse, including its platforms themuse.com, fairygodboss.com, and purposejobs.com attracts 70 million annual users, primarily Gen Z and Millennial professionals,  to connect with companies and find a career that matches their values. Founded in 2011, we were named one of Fast Company’s 50 Most Innovative Companies in the World. We have a highly diverse userbase of Millennial & Gen Z jobseekers who we help match with companies as wide-ranging as Meta, Nike and the FBI, on the strength of those companies’ values, cultures, and employee experiences. Our users come to TheMuse.com for original career advice from prominent experts, access to the best coaches, and a behind-the-scenes look at job opportunities. 


In 2022, The Muse acquired Fairygodboss, the largest online career community for women, and 2024, The Muse acquired Purpose Jobs, the go-to platform for values-driven job discovery. The Muse operates the three brands as a single organization.



The role


We are looking for an experienced Senior Analyst with outstanding active listening, communication, and presentation skills. The candidate will work with a close-knit team of professionals, including stakeholders across multiple functional groups in email marketing, editorial, account management, sales, marketing,  tech, data engineering,  and product, and be able to drive decision-making with actionable insights and deliverables. 


You will create innovative analyses to help the team understand how The Muse is performing and drive analytical products to meet the needs of our customers. You will also help us tell our clients the story of how our users engage with their content, what job seekers are looking for, and the role that The Muse plays in bringing and matching our job seekers to them. You will be responsible for deriving insights from data at the intersection of client success, sales, product, and operations and help lead our efforts to improve and grow how we evaluate client success. Your ability to clearly calibrate and communicate with different stakeholders and with different levels of data expertise is critical to success.


We work remotely and are looking for teammates who can work primarily during our business hours of 9-5pm (GMT-5).

Please note: this is not a data engineering role. We are looking for an experienced data analyst who can go beyond engineering and reporting; actionable insights and high-fidelity presentation skills are a must.



Responsibilities


-Provide actionable reporting, analysis and recommendations to help the organization improve performance and achieve enterprise objectives; this includes presenting to executive leadership and sales functions in a way that is clear and concise to a non-technical audience

-Design and define analytical standards, data definitions, dashboards & processes to provide timely insights

-Establish innovative analytical reports, developing new ways of thinking about our data and presenting findings in a clear and concise manner to help drive commercial success and strategy

-Build, develop and implement enhancements to reporting and analytics processes

-Translate data requests into actionable data plans and work across the data platform and engineering teams to implement

-Deliver dashboards that enable data-driven decision making and conduct more in depth analysis using SQL, R, Looker & other business intelligence tools



Qualifications and requirements


-3-5 years of related work experience in analytics (not just data engineering), presenting data to and discussing findings with non-technical audiences, including executives, and a proven track record of providing valuable insights from data that drives strategic thinking with business objectives.

-Excellent written and verbal communication skills in English and can fluently discuss analytical findings 

-Excited to not only provide answers but also to help people learn how to do their own analysis

-Must be a  “data detective” and will investigate issues until you’ve identified the root cause, ensuring good quality data.

-Strong relationship management and interpersonal abilities

-Comfortable working in SQL, R or Python for data analysis and can switch to Excel or Sheets to do some pivot tables and vlookups. In addition, you are well-versed with Looker or other BI tools.

-Innovative team player who can work independently and autonomously and develop and drive data initiatives to uplevel the organization.

-Ability to work cross-functionally, converting requests from stakeholders and into technical requirements to ensure that business needs are met.

-Passionate about the customer experience and have an empathetic, analytical, and modern product practice mindset.

-Manages multiple projects simultaneously, prioritize, and meet deadlines while working in a fast-paced environment.

-Leverages analytics to understand audience preferences to expand reach, improve engagement, keep users coming back, and identify new audience segments

-Familiarity with SEO and performance marketing techniques

-Helps make sure the  right content reaches the right audience in the most effective format

-Comfortable in a highly collaborative, matrixed, and distributed (remote) workplace.

-Media, content, publishing, job platform and/or other consumer-facing website experience is a plus

-Passion for the mission of The Muse and its success


Salary commensurate with experience and background.


At The Muse, we believe that great ideas come from anywhere. We support a collaborative environment and value open participation from individuals with different ideas, experiences, and perspectives. We believe having a diverse team makes The Muse a more interesting and innovative place to work, and we strive every day to make The Muse a welcoming and inclusive place for all. 


$75,000 - $85,000 a year
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Average salary estimate

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$75000K
$85000K

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What You Should Know About Sr. Data Analyst (Remote, Canada), The Muse

Are you a data whiz looking to make a meaningful impact? Join The Muse as a Senior Data Analyst! In this fully remote role based in Canada, you'll collaborate with a tight-knit team of creative minds, helping to guide the company's strategic direction through innovative data analysis. At The Muse, we’re all about connecting Gen Z and Millennial professionals with career opportunities that resonate with their values—think cool brands like Meta and Nike among others. Your primary responsibility will be to take complex data and distill it into actionable insights that can drive decision-making across various departments such as marketing, sales, and product. You'll harness your proficiency in tools like SQL, R, and Looker to present compelling narratives to stakeholders, ensuring they can grasp the essentials without wading through the technicalities. Plus, your unique perspective will help enhance our reporting processes and client success evaluations. You’ll need excellent communication skills, a knack for storytelling with data, and the passion to tell our clients about user engagements and job seeker interests. If you thrive on challenges and are keen to bring your analytical acumen to a dynamic team that values open-minded collaboration, then The Muse is the place for you. We’re excited to find someone who is not just about crunching numbers, but also about empowering others to learn from the data for better outcomes. Join us and help reshape the future of work!

Frequently Asked Questions (FAQs) for Sr. Data Analyst (Remote, Canada) Role at The Muse
What responsibilities does a Senior Data Analyst at The Muse have?

As a Senior Data Analyst at The Muse, your key responsibilities involve delivering actionable reporting and insights to drive performance improvements. You'll work collaboratively with teams from sales to marketing, translating complex data findings into clear narratives suitable for non-technical audiences, including executives. You'll design analytical standards and dashboards to provide timely insights and enhance our reporting processes.

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What qualifications are necessary for the Senior Data Analyst position at The Muse?

To qualify for the Senior Data Analyst position at The Muse, candidates should have 3-5 years of relevant analytics experience, excellent communication skills in English, and a familiarity with SQL and R or Python for data analysis. The ability to clearly convey findings to different stakeholders and experience in driving strategic thinking is crucial, along with a passion for customer experience.

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What tools do Senior Data Analysts at The Muse use for their work?

Senior Data Analysts at The Muse leverage various tools including SQL, R, and Looker for data analysis and visualization. Additionally, proficiency in Excel or Google Sheets for pivot tables and vlookups is necessary. Familiarity with business intelligence tools and reporting methodologies is also beneficial in this role.

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What is the work environment like for the Senior Data Analyst at The Muse?

The work environment for the Senior Data Analyst at The Muse is fully remote, allowing for great flexibility and autonomy. The team operates primarily during the business hours of 9-5 pm (GMT-5). The Muse fosters a collaborative atmosphere, encouraging members to participate openly, offer diverse insights, and cultivate an inclusive culture.

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What kind of impact can a Senior Data Analyst have at The Muse?

A Senior Data Analyst at The Muse has the opportunity to greatly impact decision-making and strategies that influence user engagement and satisfaction. By deriving insights from data, you help shape how The Muse connects job seekers with opportunities that align with their values, ultimately improving the success of our platform and its users.

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Common Interview Questions for Sr. Data Analyst (Remote, Canada)
Can you explain a complex data analysis project you've worked on?

When answering this question, detail your role, the challenge you faced, the data tools you used, and how your insights contributed to a decision. Focus on clarity and the impact your work had on the team or client.

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How do you ensure data quality in your analyses?

To ensure data quality, I prioritize data validation methods and routinely check for inconsistencies. I engage in thorough data cleaning processes and use analytics tools to identify anomalies, ensuring that any insights derived are both accurate and actionable.

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How do you present data findings to a non-technical audience?

I focus on storytelling when presenting data to non-technical audiences. This involves using visuals to highlight key trends and outcomes while framing my findings in a context that resonates with the stakeholders' strategic interests, making the data relatable and impactful.

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Describe your experience with dashboards and reporting tools.

In my previous roles, I’ve designed various dashboards using Looker and Excel that effectively summarize key performance indicators. My focus is on ensuring these reports provide timely insights, allowing teams to make informed, data-driven decisions quickly.

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How do you manage multiple projects and deadlines?

I utilize a combination of task management tools and prioritization strategies. I break down projects into manageable tasks, set clear deadlines, and frequently reassess priorities to ensure timely delivery, even in a fast-paced environment.

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What is your approach to stakeholder communication?

I adapt my communication style depending on the stakeholder’s expertise level. I strive to maintain clarity, ensure all parties are aligned on objectives, and facilitate open discussions, so they feel informed and engaged throughout the analytical process.

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Can you give an example of how you turned data into actionable insights?

Certainly! In my last position, I identified a significant drop in user engagement metrics. After analyzing the data, I presented a targeted strategy that involved content adjustments based on user preferences, which resulted in a 20% increase in return visits within two months.

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What experience do you have with SQL or other programming languages?

I have extensive experience using SQL to query databases and perform complex analyses. Additionally, I’m proficient in R for statistical analysis, enabling me to derive deeper insights from various datasets, ultimately enhancing our reporting effectiveness.

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How do you handle conflicting priorities when working with cross-functional teams?

When faced with conflicting priorities, I communicate openly with stakeholders to understand their needs and timelines. I negotiate feasible solutions, aligning priorities with business goals to ensure that we deliver value without compromising project quality.

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Why do you want to work as a Senior Data Analyst at The Muse?

I am passionate about leveraging analytics to influence decisions that align with user values, which resonates deeply with The Muse's mission. I admire the company's focus on helping job seekers and the innovative practices in the team, and I’m eager to contribute my expertise to drive meaningful change.

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Musers believe life is too short to hate your career. It's why we do what we do for users and employers every day. Join us.

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Full-time, remote
DATE POSTED
March 23, 2025

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