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Senior Analyst, Data & Analytics

Humi HR

Humi HR

IT, Data Science
Canada
Posted on Tuesday, October 31, 2023
Are you driven by the quest to uncover actionable insights from vast datasets? Eager to dive deep into the intricate world of SaaS metrics, while continually sharpening your analytical toolkit? Join us and be at the forefront of a team where knowledge enhancement, in-depth analysis, and strategic thinking are not just appreciated but are the norm.
At Humi, we are looking for a Senior Analyst who is passionate about translating complex data into actionable business strategies. We value peer collaboration, constructive feedback, and are unwavering in our commitment to clean, precise, and organized data analyses. You'll be immersed in an environment that thrives on the balance between rapid time-to-insight and the precision of our analytical findings.
In our ever-evolving landscape, you'll have the unique opportunity to work with some of the most cutting-edge analytical tools and frameworks. From diving into Python scripts for data manipulation to building intricate forecasting models, every day offers a new challenge.
Align yourself with Humi's commitment to innovation, growth, and excellence in the SaaS analytics realm. Join us, and let's shape the future of analytics together.
Who are we?
Humi’s mission is to help organizations throughout Canada foster their greatest asset – their employees. Starting with a powerful yet intuitive HR, payroll, benefits, and insurance platform, Humi has established a leadership position as the only company addressing all of these needs in one place. With a potential reach spanning every business in Canada, and a platform that touches every employee at every business that uses it, Humi is reimagining the future of work.
Humi is backed by reputable investors including: Kensington Capital Partners, a firm with over 25 years of investment experience, TELUS Ventures who partners with disruptive, market-transforming companies, Tribe Capital, the same group who funded Slack and Carta. Y-Combinator, the top value-based U.S. accelerator, and several of the world’s leading angel investors.
We’re hiring across Canada and are open to applicants who prefer to work remotely!
We are committed to building an inclusive and diverse workforce, representative of the communities we serve and beyond. We encourage, and are pleased to consider, applications from Indigenous peoples, racialized persons/persons of colour, women, persons with disabilities, LGBTQ2S+ persons, and others who contribute towards promoting innovative ideas and solutions.

What will you be doing as a Senior Analyst?

  • Deep Diving into Data: On our dynamic Data & Analytics team, you'll dissect intricate datasets, revealing the patterns and stories that lie beneath the numbers.
  • Crafting Data Narratives: Your ability to translate complex data into compelling insights will shape our business strategies and drive key decisions.
  • Harnessing Advanced Analytical Tools: Whether it's harnessing Python for data manipulation or building robust forecasting models, your technical expertise will be a cornerstone of our analytics engine.
  • Cross-functional Synergy: Working hand-in-hand with cross-functional teams, your insights will breathe life into marketing, sales, and product initiatives, amplifying our impact.
  • Championing Data Mastery: As a beacon of analytical excellence, you'll help foster a culture of continuous learning and innovation.

In your first 30 days, you will:

  • Familiarize yourself with our company culture, values, and workflows. Dive deep into our current analytical methodologies and tools to understand our data landscape.
  • Shadow key members of the Data & Analytics team, participate in regular meetings, and forge connections with cross-functional teams to understand the collaborative essence of our projects.
  • Access, explore, and comprehend our primary data sources, recognizing key metrics, and variables that drive our analytical narratives.

In your first 60 days, you will:

  • Begin to lead and contribute to projects. Start with smaller-scale projects to test and refine your approach.
  • Delve deeper into our suite of analytical tools, exploring advanced functionalities and optimizations that can elevate our analyses.
  • Establish regular communication with key stakeholders, understanding their requirements, challenges, and expectations to ensure your analyses align with business objectives.

In your first 90 days, you will:

  • Begin shaping longer-term strategies based on your analyses. Provide recommendations that influence departmental and organizational direction.
  • Actively collaborate with teams outside of analytics, integrating your insights into broader initiatives and campaigns.
  • Begin guiding less experienced team members, sharing your insights and expertise, fostering a collaborative learning environment.
  • Innovation: Identify and advocate for new tools, processes, or methodologies that can enhance our analytical capabilities.

In your first year, you will:

  • Take on more prominent leadership roles within the analytics team, driving larger projects and influencing key business decisions based on your insights.
  • Spearhead the creation or refinement of overarching data strategies, ensuring alignment with business goals and maximizing ROI.
  • Review and enhance existing analytical workflows, ensuring efficiency, accuracy, and relevance. Implement best practices consistently across the team.
  • Identify and advocate for new tools, processes, or methodologies that can enhance our analytical capabilities.

What are we looking for in a Senior Analyst? (Must-haves)

  • Data Analysis Expertise: Deep knowledge in analyzing datasets, identifying trends, and deriving actionable insights.
  • Technical Proficiency: Strong hands-on experience with analytical tools such as Python, R, SQL, Excel and data visualization platforms like Tableau, Power BI, Looker
  • SaaS Business Acumen: A deep understanding of the SaaS business model, including key metrics, cohort analyses, and customer lifetime value calculations.
  • Strategic Thinking: Ability to translate data-driven insights into strategic business recommendations and drive key decision-making processes.
  • Communication Skills: Exceptional ability to articulate complex data narratives in a clear and compelling manner to a variety of stakeholders, from technical peers to executive leadership.
  • Continuous Learning: A track record of staying updated with the latest trends in SaaS analytics, data science, and associated technologies.
  • Education or Equivalent Experience: Computer Science, Statistics, Data Science, or a related field.
  • Experience: A minimum of 3 years in a data analysis role, with at least 1-2 years specifically in SaaS analytics or a similar domain.

Nice-to-Have Skills & Experience:

  • Data Engineering Knowledge: Experience in building and maintaining ETL processes, ensuring streamlined data integration and quality.
  • Advanced Degrees: Master’s or other advanced degrees in Data Science, Computer Science, Statistics, or a related field.
  • Industry Certifications: Certifications in analytical tools or methodologies, such as Certified Data Professional (CDP) or similar.
  • Leadership & Mentorship: Proven experience in mentoring junior analysts, fostering a growth-oriented environment.

Why join Humi?

  • As a team that services the HR world, we are a team that understands you perform best in an environment that cares about their employees
  • Be part of a high performing team of critical thinkers that thrive on problem solving
  • Access leadership and growth opportunities as the company rapidly scales
  • Maintain work-life engagement with flex hours and our Long(er) weekends initiative
  • Opportunity to work fully remote across Canada if you choose to
Please note that all successful candidates will only receive offers through the Humi platform and we do not issue offers outside of our platform. We do not make any offers of employment via social media. Please see our resource library for the best ways to detect fraud and fraudulent activity.