Senior Data Analyst Position

5 days ago


Lahore, Punjab, Pakistan Tajir Full time
About Tajir

Tajir aims to revolutionize the economy of Pakistan by optimizing business operations and making significant efficiency gains.

For nearly a century, stores in Pakistan have been buying products using traditional methods. However, there's room for improvement. Our mission is to make it easier for store owners and manufacturers to succeed through technology-driven innovation.

We offer an app that enables stores to buy everything they need, with reliable delivery the next day. This approach not only reduces vehicle traffic but also leads to increased profits for both parties involved.

Tajir is backed by reputable investors like Kleiner Perkins and Y Combinator, known for their early investments in companies such as Google, Amazon, Coinbase, Airbnb, and Dropbox.

Job Description

As a Data Scientist at Tajir, you'll work with real-time customer data to create unique experiences for our customers. Your role will involve designing algorithms to support our operation, from purchase orders to delivery, testing these on real and simulated data.

You'll also find answers in data by identifying common features of strong customers, popular product combinations, and areas where our delivery operation needs improvement. Additionally, your job is to enable data-driven decisions by facilitating rapid answers to all data queries.

What We're Looking For
  1. Humility and respect towards colleagues, regardless of seniority or position.

  2. Attention to detail and a commitment to writing high-quality code.

  3. A passion for meeting customers, learning from them, and helping decide what features to build next.

Requirements
  1. At least 2 years of experience in data science.

  2. Elite SQL querying skills, including complex joins, CTEs, LIMIT, OFFSET, GROUP BY, HAVING, and other advanced features.

  3. Experience with non-querying parts of SQL, such as DDL, procedures, and indexes.

  4. Proficiency in Python, particularly with pandas and numpy libraries.

  5. An understanding of relational databases (e.g., Postgres) versus columnar databases (e.g., BigQuery).

Nice to Have
  1. A strong foundation in mathematics through a degree in Physics, Math, Statistics, or a related field.

  2. A personal project that showcases exceptional engineering skills.

  3. A substantial contribution to open-source code.

  4. Experience interviewing customers and gathering feedback.

Tech Stack

We prioritize candidates with great engineering skills over specific tech stack experience. That being said, our Android app uses Java and Kotlin, while our backend runs on Python and Flask deployed to Google Cloud as Docker images. We rely on PostgreSQL for transactional data and BigQuery for analytics.


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