
Data Innovator
6 hours ago
We seek an accomplished Lead Data Strategist to drive data-driven insights and decision making within our organization.
Job Description:
Data Strategy & Governance
- Develop and maintain a robust data infrastructure, ensuring seamless integration across systems.
- Design and implement data pipelines for optimal performance and scalability.
- Collaborate with cross-functional teams to establish data standards and best practices.
Business Intelligence & Reporting
- Craft insightful dashboards and reports using Power BI and Looker Studio, providing actionable insights for product, marketing, and leadership teams.
- Build templates and reports for product funnels, cohorts, and revenue tracking, facilitating informed business decisions.
Product & Behavioral Analytics
- Manage and configure tools like Mixpanel or Amplitude, enabling the collection of meaningful user action and product feature data.
- Set up and maintain tracking for user interactions and product features, ensuring accurate attribution and analytics.
Attribution & Campaign Tracking
- Ensure accurate campaign tracking through UTM parameters and collaboration with engineering and marketing teams to validate attribution data.
- Work closely with cross-functional teams to develop and refine data strategies, fostering a culture of data-driven decision making.
Required Skills & Qualifications:
- 3+ years of experience in data analytics, business intelligence, or a related field in a B2B SaaS company.
- Strong proficiency in SQL, with experience optimizing queries and data models for efficient data retrieval.
- Familiarity with Power BI, Looker Studio, or similar business intelligence tools, with experience building complex dashboards and reports.
- Experience working with product analytics platforms, such as Mixpanel or Amplitude, to collect and analyze user behavior data.
- Ability to communicate technical insights effectively to both technical and non-technical stakeholders.
Nice to Have:
- Experience with BigQuery, dbt, or Snowflake, with expertise in large-scale data processing and analytics.
- Background in SaaS environments using PLG or freemium models, with knowledge of subscription-based business models.
- Comfortable working in fast-paced, dynamic teams with adaptability to changing priorities and requirements.
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