Senior Data Analyst

11 Hours ago • 5 Years + • Data Analyst

About the job

Summary

The Senior Data Analyst at Wave will advance the maturity of Data Analytics, bridging the gap between technical and non-technical audiences. Responsibilities include owning analytics needs for specific product lines, working with stakeholders to identify data analysis opportunities, partnering with data analysts and scientists to develop new tools, and delivering documentation. The role also involves creating reporting dashboards (Looker), interpreting key metrics, advocating for best practices, extracting and transforming data, and enriching data using advanced analytics. The ideal candidate possesses 5+ years of experience in analytics, advanced SQL skills, experience with dbt and dimensional models, Python for data analysis, Looker (or equivalent), and expertise in various analytical techniques (lifecycle metrics, retention/churn analysis, etc.). Strong communication and business acumen are crucial.
Must have:
  • 5+ years analytics experience
  • Advanced SQL skills
  • Experience with dbt & dimensional models
  • Python for data analysis
  • Looker (or equivalent) expertise
  • Strong communication skills
  • Business acumen
Perks:
  • Work from anywhere
  • Learning & Development opportunities
  • Health & wellness benefits
  • Competitive compensation
  • Office perks
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About the Role
The Senior Data Analyst is responsible for advancing the maturity of Data Analytics at Wave, combining strong business acumen with analytical expertise. They bridge the gap between technical and non-technical audiences, delivering insights and leveraging data to inform strategy and decision-making for Wave.

Here’s How You Make an Impact:

    • Ownership of analytics needs for specific product line(s) for Wave.
    • Working with stakeholders to understand their challenges and goals, identifying data analysis opportunities, and developing solutions to drive decision-making.
    • Partnering with fellow data analysts and data scientists to develop new analysis tools. 
    • Delivering documentation that guides other team members toward understanding of critical domain knowledge.
    • Improving the Data Analytics team’s practices by identifying areas of friction and implementing solutions.
    • Facilitating the creation of reporting dashboards (via Looker), establishing and interpreting the performance of key metrics, and advocating for experimental best practices as we evolve the analytical maturity of the company.
    • Extracting and transforming data for use by stakeholders, ensuring data integrity where necessary in partnership with Data Operations. 
    • Enriching data and applying advanced analytics to projects where appropriate in partnership with Machine Learning.

You Thrive Here By Possessing the Following:

    • 5+ years of experience in Analytics, including the application of statistical analysis, experimental design, and modeling/forecasting.
    • Advanced SQL skills with experience querying large and complex datasets.
    • Experience using dbt to transform data.
    • Experience working with dimensional models (i.e. star schemas).
    • Experience with Python for data analysis.
    • Expertise in developing reports and dashboards with Looker (or equivalent data visualization platforms).
    • Experience with analytics applied to business problems: creating lifecycle metrics, retention/churn analysis, correlation/regression, time series forecasting, etc.
    • Ability to effectively communicate complex matters and requirements between audiences, both visually and verbally.
    • Proactive, autonomous, and able to partner with business and engineering stakeholders to support the ideation and execution of key projects.
    • Possesses business acumen to identify and evaluate key performance indicators and provide recommendations that drive decision-making and propel business value.
At Wave, you’re treated like the incredible human being you are. 

Work From Where You Work Best: We will always have a welcoming, energizing, and world-class office (in Toronto) with a space for you. Or, if you’re more comfortable working from home, the choice is yours.
We Care About Future You: You will stretch yourself and you will grow at Wave. You will also be supported on this journey with diverse learning experiences, educational allowances, mentorship, and so much more.
We Support the Full You: We make a serious investment in your health & wellness. When we think about benefits we think about body, mind, & soul and we take this stuff very seriously. 
We Take Care of the Fundamentals: Fair compensation, all the office perks you’d want, and the various goodies you’d expect from a growing tech company. This is the obvious stuff, but we don’t want you to think we forgot!

We believe that a diverse and inclusive culture creates the best workplace. We embrace our differences, value individuality, and the broad spectrum of every Waver's skills and abilities. We challenge each other from a place of respect and pursuit of continuous growth. We trust each other and encourage everyone to bring their authentic selves to work, everyday. As Wavers, our voices matter, our opinions are met with an open mind. The best ideas win, no matter whose they are.  Contributing to an inclusive culture is a part of all of our job descriptions. 

We’ve been continuously recognized as one of Canada's Top Ten Most Admired Corporate Cultures and one of Canada’s Great Places to Work in categories including Technology, Millennials, Mental Health, Inclusion and Women.  

Are you ready to be a Waver? Join us!
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About The Company

Ontario, Canada (Remote)

Ontario, Canada (Remote)

Ontario, Canada (Remote)

Canada (Remote)

Ontario, Canada (Remote)

Ontario, Canada (Remote)

Ontario, Canada (Remote)

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