The Data Analyst position at Spendesk is crucial for enhancing decision-making within product teams through data-driven insights. This role is designed for individuals who are not only skilled in SQL but are also eager to support Product Managers by understanding their data needs and challenges. In your first few months, you will engage with various stakeholders, developing dashboards and conducting training sessions to foster a data-centric approach within the organization. As you get acclimated, you will play a significant role in shaping a strong data culture, ensuring that teams are empowered to make informed decisions based on solid analytics.
Key Responsibilities
You will assist product stakeholders in conducting comprehensive data analyses and tracking Key Performance Indicators (KPIs) to deliver actionable insights that directly influence product development.
Your role will include creating, maintaining, and enhancing product dashboards using business intelligence (BI) tools, ensuring they meet the evolving needs of the team.
You will be responsible for designing and delivering regular training sessions to equip stakeholders with the knowledge to utilize data effectively in their decision-making processes.
Holding office hours will be part of your responsibilities, during which you will assist teams in becoming more data-driven by addressing their queries and offering hands-on support.
Contributing to the establishment of a robust data culture will involve creating detailed documentation and guidelines that promote best practices in data usage across the company.
Regular collaboration with Product Managers to refine their requests and provide insights that challenge existing assumptions will be a key aspect of your role.
Requirements & Qualifications
An advanced skill set in SQL is required, along with the ability to write complex queries independently to extract and analyze data.
You should possess foundational knowledge in Python for data analysis, enabling you to perform robust data manipulations.
A solid understanding of product analytics and the relevant metrics necessary for evaluating product performance will be essential.
You must demonstrate the ability to self-serve and proficiently utilize BI tools such as Looker or Amplitude for data analysis tasks.
Strong analytical and problem-solving skills are crucial, as you will need to derive meaningful insights from diverse data sets.
Effective communication skills are required to clearly convey complex data concepts to non-technical stakeholders.
What You’ll Gain
By working in this role, you will enhance your analytical skills, gaining deeper insights into data interpretation and product performance metrics.
Your experience with BI tools will significantly improve, equipping you with valuable skills that are highly sought after in the job market.
Engaging with a diverse international team will broaden your professional network and expose you to various perspectives on data-driven decision-making.
You will have the opportunity to contribute to the establishment of a strong data culture within Spendesk, making a lasting impact on how the organization utilizes data.
How to Apply
If you are interested in this opportunity, please submit your application and CV in English through our application portal. For more details, you can Apply here.
