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Data Analyst

4 months ago

Waterloo, United States Axonify Full time

The Data Analyst partners with our product and development teams to deliver proactive insights and data products such as user-facing reports to help add value and enable data-informed decisions to Axonify's clients, users and internal stakeholders.

You will be an integral part of the Data organization, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

**The impact you'll have**:

- Build and maintain user-facing reports to help Axonify customers gain insights into their user base and surface opportunities to help Axonify customers grow their workforce
- Build and maintain data models which will power all underlying customer/internal reports and analyses
- Partner with Data, Product and Development teams to conduct product/feature analyses
- Ensure data schemas for new features will support future analytics and data product needs
- Build dashboards/visualizations to assess product health
- Collaborate with various cross-functional stakeholders, including Product Managers, Developers, Designers, UX Researchers, and Data Engineers to address ad hoc data needs and work on projects related to organizing and analyzing data
- Be an integral part of the Data organization, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

**The things you bring**:

- Solid experience with dashboarding tools (e.g. Looker, Periscope (Sisense CDT)). Brownie points if you have a degree in a quantitative field.
- Strong Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
- Solid foundation in statistics with proficiency in fundamental statistical techniques such as t-tests, linear regression, etc.
- Demonstrated ability to communicate and discuss complex topics with technical & non-technical audiences.
- Ability to take defined problems and solve them in a structured, hypothesis-driven, data-supported way
- Demonstrated understanding of data warehousing concepts and how this applies to analytics and reports for new features
- Good verbal and written communication in English. We understand that English is not your first language, therefore, we don't expect it to be completely fluent. However, you should be comfortable working and communicating your ideas with our international teams.