
Data Insights Strategist
1 day ago
This role offers a unique chance to leverage both technical skills and business acumen to extract actionable insights from complex data. As a pivotal full-stack professional, you'll be instrumental in ensuring our data's accuracy and availability, while also generating key insights to drive strategic decisions across departments.
Key Responsibilities- Maintain, enhance, and own 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.
- Contribute to the development of our customer-facing 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.
- 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 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.
- n8n and similar automation tools – strong advantage.
If you're a data-driven professional looking for a challenging opportunity to make a significant impact, we encourage you to apply.
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