میاره | Miare

کامپیوتر، فناوری اطلاعات و اینترنت ۵۱ تا ۲۰۰ نفر miare.ir

استخدام Data Analyst

این آگهی منقضی شده است

دسته‌بندی شغلی

وب،‌ برنامه‌نویسی و نرم‌افزار
موقعیت مکانی

تهران ، تهران
نوع همکاری

تمام وقت
حداقل سابقه کار

سه تا شش سال
حقوق

توافقی

شرح موقعیت شغلی

Job Objective

At Miare, we are looking for a Data Analyst to partner closely with the Delivery team — diving deep into funnels, diagnosing problems, uncovering insights, and building dashboards that empower fast, data-driven decisions.
Our Delivery team plays a critical role in acquiring and retaining both drivers and customers, ensuring seamless growth and service quality.

Key Responsibilities:

Data Exploration & Querying:

Write optimized SQL on large production datasets, joining and validating multiple data sources (orders, drivers, users, events).

Expected seniority: You handle complex data models independently and ensure accuracy and performance.

Decision Support & Business Analysis:

Collaborate with Product, Operations, and Growth to analyze acquisition, retention, and efficiency metrics, and assess campaign or policy outcomes.

Expected seniority: You own the full analysis process — from framing questions to delivering actionable insights.

Dashboards & Visualization:

Build and maintain dashboards in Superset or similar BI tools; define clear, documented, and self-service KPIs.

Expected seniority: You translate SQL results into clear visuals with minimal guidance.

Funnel & Retention Analytics:

Own key funnel definitions (signup → activation → repeat) and diagnose causes of metric shifts.

Expected seniority: You proactively monitor trends and lead root-cause analyses.

Collaboration & Communication:

Partner with Delivery leadership to prioritize impactful analyses, document definitions, and communicate insights clearly across teams.

Expected seniority:

You explain complex analyses simply and drive data-informed decisions.

Task Complexity:

This role demands analytical depth and business understanding. You’ll turn raw operational data into actionable insights that improve growth and retention.
Success requires both technical mastery and ownership — balancing speed, accuracy, and clarity in a high-autonomy environment.

Requirements:

3+ years of hands-on experience in data analysis or analytics engineering.
Advanced SQL (joins, CTEs, window functions, conditional aggregates).
Experience working directly on production data (non-ETL).
Proven ability to turn analysis into business recommendations.
Strong understanding of acquisition, retention, and funnel metrics.
Familiarity with BI tools (Superset, Tableau, PowerBI).

Skills:

Data exploration and performance optimization.
Business and operational analytics.
Funnel and retention analysis.
Dashboard creation and metric documentation.
Clear communication with cross-functional teams.

Preferred Skills:

Experience with Python or R for analysis.
Knowledge of A/B testing, experiment evaluation, or causal inference.
Background in on-demand, logistics, or delivery-based businesses.

Education:

Bachelor’s or higher degree in Industrial Engineering, Computer Science, Statistics, or related fields.

Benefits & Perks:

Location: Miare Headquarters – Sharif Innovation Station (Tarasht, Tehran).
This is a full-time, on-site position.
Lean, fast-paced, and autonomous environment with direct collaboration across product and operations.
Free supplementary health insurance.
Eligibility for Knowledge-Based Company military service exemption (after one year).

ثبت آگهی استخدام در جابینجا

معرفی شرکت

«میاره» یک استارتاپ فعال در حوزه دلیوری شهری است. ما به کسب‌وکارهای محلی کمک می‌کنیم سفارش‌هایشان را سریع، دقیق و قابل‌اعتماد ارسال کنند؛ و از طرف دیگر، شرایطی فراهم می‌کنیم که سفیرها بتوانند کار منظم و درآمد پایداری داشته باشند.
در «میاره» کنار یک تیم منسجم و پرانرژی کار می‌کنی، یاد می‌گیری، تجربه‌ات را به اشتراک می‌گذاری و در حل چالش‌های واقعی نقش داری. ما فضایی ساختیم که افراد مشتاقِ رشد بتوانند اثرگذار باشند و مسیر حرفه‌ای‌شان را جلو ببرند.
اگر به کار تیمی، یادگیری مستمر و محیط‌های پویا علاقه داری، جای تو در میاره خالی است.