Youll be instrumental in ensuring our data's accuracy and availability, while also generating key insights to drive strategic decisions across Marketing, Product, R&D, Sales, and Customer Success. This role offers a unique chance to leverage both your technical skills and business understanding to extract actionable insights from complex data. Reporting directly to the CTO and collaborating with key stakeholders, youll have a significant impact on our data-driven culture.
Key Responsibilities
Own, maintain, and enhance data pipelines to guarantee data availability and quality.
Analyze and interpret complex data related to marketing, product performance, and user behavior.
Collaborate effectively with various teams to gather requirements, build data understanding, and communicate findings clearly.
Identify and resolve data discrepancies, defining the "source of truth" for crucial metrics.
Develop dashboards to monitor KPIs, assess performance against targets, and pinpoint areas for improvement.
Maintain user funnel dashboards, setting up alerts for anomalies and opportunities.
Implement proactive data monitoring and anomaly detection systems to ensure data accuracy and consistency.
Lead integrations with third-party platforms, optimizing data inputs for marketing tools and advertising platforms, potentially developing algorithms and triggers for targeted actions (e.g., engaging high-value, at-risk, or potential users).
Contribute to the development of our customer-facing Arena Analytics pipeline and data warehouse using tools like Fivetran, Snowflake, and ThoughtSpot.
3+ years of experience as a Data Analyst, Data Engineer, Full-Stack Data Analyst, or in a similar capacity.
A genuine enthusiasm for AI and a proactive approach to exploring and implementing AI technologies to enhance efficiency and drive our success.
Proven experience in a data-focused role, ideally within the SaaS industry, with a track record of building and maintaining complex data pipelines, dashboards, and integrations.
Strong analytical and problem-solving abilities to effectively dissect complex datasets.
Detail-oriented with a sharp ability to identify trends and anomalies.
Solid business acumen, strategic thinking, and a data-first approach.
Excellent communication skills to collaborate with diverse teams, elicit requirements, and articulate insights effectively.
Fluent in English, both written and spoken (all interviews and communications are in English).
Proficiency in data visualization tools such as Tableau and Power BI.
Experience with ETL management, particularly using tools like Xplenty and Fivetran.
Hands-on experience with ad hoc analyses and Snowflake SQL for deep data exploration.
Ability to integrate and work effectively with Google Analytics and various ad platforms.
Competence in managing Snowflake reader accounts and secure views.
Familiarity with dbt for data modeling and managing ETL processes.
