As the Tech Lead for Reporting & Analytics at Axonify, your primary responsibilities include leading the Data team to deliver insightful analytics, managing team performance, prioritizing data-related initiatives, and optimizing our data infrastructure and reporting. You will play a crucial role in determining the direction of data-driven projects, approving the technical direction for Reporting and Data products, and working collaboratively with product management to shape customer reporting features.

To qualify for the Tech Lead role at Axonify, you should have over 10 years of experience in data analytics, with a strong background in leadership. Proficient knowledge of Looker and BigQuery is essential, along with advanced SQL skills. Additionally, experience in analytics engineering and a deep understanding of database principles will greatly enhance your candidacy. If you have previously worked with Looker as an embedded product and can demonstrate strong communication and organizational skills, we’d love to hear from you!

The Tech Lead for Reporting & Analytics at Axonify should be adept at using tools such as Looker and BigQuery, and be proficient in SQL, with Python experience being a bonus. Strong skills in statistics and analytics are crucial, along with proven leadership abilities to guide a team of data analysts. Your communication and organizational skills will also play a significant role in ensuring your team thrives and meets business priorities.

At Axonify, we embrace a hybrid-flexible work model, allowing you to choose the best location to work most days. You can operate from your home office or one of our Axonify offices in Waterloo or Toronto. Our unique 'Work from Work Wednesdays' brings team members together for face-to-face collaboration, fostering connections that enhance creativity and innovation, making it an exciting place to develop your career!

The career growth path for a Tech Lead at Axonify is designed to be dynamic and expansive. You will have opportunities to influence key product features and initiatives, work across departments, and take part in strategic planning. As you demonstrate leadership in managing and growing the Data team, you'll also have avenues to enhance your skills and potentially advance into senior leadership roles within the organization.

In my previous roles, I accumulated over ten years of experience in data analytics, focusing on leading teams and driving impactful data-driven decisions. For example, I managed a team that implemented BigQuery solutions to streamline reporting processes, which significantly enhanced our analytics capabilities. I believe this experience directly aligns with the responsibilities of the Tech Lead at Axonify, where I can leverage my skills to lead projects that provide valuable insights.

Effective team management is essential for achieving high performance. I prioritize regular one-on-one meetings to provide feedback and discuss career growth goals. By creating a supportive environment where team members feel valued, I encourage open communication and collaboration. Additionally, I implement clear performance metrics and celebrate team achievements to boost motivation and alignment with our business objectives.

When prioritizing data-related initiatives, I use a framework that considers both strategic alignment with business goals and the potential impact on customer engagement. I collaborate with stakeholders to assess needs and balance short-term projects with long-term goals. This ensures we are working on initiatives that drive meaningful change while also being responsive to evolving priorities.

In a previous position, I was tasked with overhauling our data reporting system, which required navigating through legacy issues. I approached this by establishing cross-functional workshops, where team members from data engineering and analytics collaborated to define requirements. We then used an iterative approach for development, which allowed us to address challenges in real-time while maintaining clear communication with stakeholders.

I have extensive experience using Looker in tandem with BigQuery for data product development. I led a project that involved integrating Looker for an internal analytics solution, resulting in significantly improved accessibility for users. My familiarity with both tools enables me to guide my team in building robust reporting solutions that meet our organization’s analytics needs effectively.

To ensure that data reporting solutions meet user needs, I emphasize user-centric design principles. I engage users in the development process through surveys and feedback sessions, which helps us understand their requirements better. By involving them early, we can iterate on solutions that are not only functional but also user-friendly, delivering valuable insights that matter.

I believe that data quality and governance are foundational elements of any successful analytics strategy. My philosophy emphasizes proactive measures like regular audits, clear documentation, standardized data definitions, and training for team members on best practices. This approach ensures that the data we use for decision-making is credible and reliable.

I make it a priority to stay informed about the latest trends in data analytics by engaging with industry publications, attending webinars, and participating in professional networks. Additionally, I regularly enroll in online courses to enhance my skills in emerging technologies and tools, which ensures that my team and I remain at the forefront of the analytics landscape.

Earlier in my career, I encountered a situation where two team members had conflicting opinions on how to approach a project. I facilitated a mediation session where each person could express their viewpoint. By fostering an open dialogue, we found common ground and reached a consensus that leveraged both perspectives, ultimately improving team dynamics and project outcomes.

I am particularly excited about the Tech Lead position at Axonify because of its focus on empowering frontline workers through innovative analytics solutions. The opportunity to lead a talented team while contributing to a mission-driven organization resonates with my career goals. I am eager to help shape the data strategy that will ultimately enhance the customer experience and drive meaningful change.