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کد آگهی: KP4894033762
استخدام Full Stack Data Analyst (دورکاری)
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مگا سرور | Mega Server
در تهران
دورکاری
اطلاعات شغل:
امکان دورکاری و کار در منزل: دارد
نوع همکاری: تمام‌وقت
مهارت‌های مورد نیاز:
Full-stack
Data Analysis
SQL
پرداخت‌ها: توافقی
متن کامل آگهی:
About the Role
We are seeking a full stack data analyst who thrives at the intersection of data, product, and engineering. In this role, you’ll play a critical part in improving how we track user behavior, structure our data, and turn raw information into clear, actionable insights.
This position is ideal for someone with a strong technical foundation—particularly in SQL and event-tracking systems—who also understands product thinking and business context. You’ll be working closely with product managers, engineers, and marketing teams to shape the way we define and measure success.
Key Responsibilities
- Audit and improve event-tracking implementations, data layer structure, and naming conventions
- Design and manage data models, dashboards, and reporting infrastructure in Metabase
- Build and maintain operational and analytical dashboards used by cross-functional teams
- Analyze product usage, customer behavior, funnels, and retention metrics to inform decision-making
- Collaborate with product and engineering teams to define key metrics and ensure tracking accuracy
- Document data schemas, definitions, and KPI logic to ensure shared understanding across teams
- Enable a self-serve data culture by building helpful tools, alerts, and guidance for non-technical stakeholders
Requirements
- 3–5 years of experience in analytics, BI, or data roles
- Advanced proficiency in SQL (preferably in PostgreSQL or MySQL)
- Hands-on experience with Metabase, including data modeling, dashboard design, alerts, and dynamic filters
- Strong understanding of event-based analytics and behavioral data structures
- Ability to translate business problems into structured analyses and clear recommendations
- Experience documenting and communicating tracking specifications and data definitions
Nice to Have
- Familiarity with event tracking tools such as Segment, PostHog, or Snowplow
- Scripting experience in Python or JavaScript for ad-hoc data tasks
- Background in SaaS, marketplaces, or high-growth digital products
- Experience with retention analysis, funnel modeling, and cohort tracking
- Proficiency in Excel/Google Sheets for complementary modeling and analysis
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چهارشنبه 29 خرداد 1404، ساعت 11:21