Data Analyst

Lahore, Punjab, Pakistan

Burq

Burq provides you access to on-demand and same-day delivery by connecting you with multiple delivery networks and ensuring you the cheapest and fastest delivery option!

View company page

About Burq

Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.

We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. We then made it extremely easy for businesses to plug into our network and start offering delivery to their customers. Now, we’re powering deliveries for some of the fastest-growing companies from retailers to startups.

It’s a big mission and now we want you to join us to make it even bigger! 🚀

We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the U.S.

We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.

We want people who are unafraid to be wrong and support decisions with numbers and narrative. Here’s a quick overview of what you will be doing:

Some of the responsibilities

  • Collaborate with stakeholders from various departments to understand data requirements and deliver effective solutions.
  • Write and optimize complex SQL queries to extract, manipulate, and analyze large datasets within Snowflake, MySQL, and PostgreSQL environments.
  • Develop and maintain data visualizations using Tableau to communicate insights and trends to both technical and non-technical audiences.
  • Gain a deep understanding of our company's domain and data models to provide meaningful context to analytical findings.
  • Utilize issue management software for tracking and prioritizing work, ensuring timely completion of data-related tasks.
  • Work closely with cross-functional teams to intake, analyze, and execute data requests, contributing to the overall data-driven decision-making process.
  • Contribute to the development and maintenance of data documentation, ensuring accuracy and accessibility for team members.

Requirements

  • Bachelor's degree in a relevant field such as Computer Science, Statistics, or Data Science.
  • Proven experience as a Data Analyst, with a focus on SQL, Snowflake, MySQL, and PostgreSQL.
  • Strong proficiency in data visualization tools, particularly Tableau.
  • Ability to understand and navigate complex domain-specific data models.
  • Excellent communication skills to effectively engage with stakeholders from various departments.
  • Familiarity with issue management software for task tracking.
  • Basic understanding of Agile methodologies, particularly Scrum.
  • Analytical mindset with a keen attention to detail.
  • Ability to thrive in a dynamic, fast-paced work environment.

Benefits

Investing in you 🙏

  • Competitive salary
  • Medical
  • Educational courses

Generous Time Off 🏝

At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Computer Science Data visualization MySQL PostgreSQL Scrum Snowflake SQL Statistics Tableau

Perks/benefits: Career development Competitive pay Startup environment

Region: Asia/Pacific
Country: Pakistan
Job stats:  4  0  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.