BI Analyst II

BI Analyst II

What this role really is

We're expanding our marketplace and analytics team at the largest local startup in Pakistan, solving complex marketplace problems at scale- real supply, demand, pricing, and subsidy decisions that move the business, not backward-looking reporting. You'll work across marketplace health, pricing initiatives, product funnel feedback and customer lifetime value, developing a deep understanding of our customers, partner-drivers and vendors to drive decisions.

This is a storytelling-through-data role, not a request-a-report one. You ask your own questions, dig into data without being prompted, find opportunities that aren't immediately obvious, and turn them into insight other people can actually act on.

If your instinct on a messy dataset is "let me dig into this and figure out what's really going on," this role is for you. If it's "let me wait for someone to tell me what to pull," it isn't.

The environment is fast-moving and touches live marketplace decisions, pricing, subsidies, supply/demand balancing with real business impact. Judgement and curiosity matter as much as SQL skill.

What you'll actually do

Own business-critical metrics. Define, instrument and maintain new and existing metrics using SQL queries and beyond.

Drive marketplace decisions. Support pricing, supply/demand balancing, customer subsidies, and strategic marketplace shifts with data.

Understand our stakeholders. Develop an understanding of customers, partner-drivers and vendors to drive engagement, product recommendations and business decisions.

Build for decision-making. Run experiments and develop dashboards and data visualizations that enable cross-functional, data-driven decisions.

Answer the hard questions. Tackle complex business questions via ad-hoc SQL queries and visualization to advocate for better marketplace management.

Connect the dots. Integrate insights from different data sources to build a holistic market and consumer understanding that's actionable for category and brand strategy.

Partner with data engineering. Collaborate on building and maintaining ETLs, pipelines and automations so business performance can be understood and acted on accurately, scalably, and with minimal manual upkeep.

Must-haves

2–3 years of relevant post-education work experience in analytics, business intelligence, market research or a related field

Experience gathering business requirements, using industry-standard BI tools to extract data, formulate metrics and build reports

Experience using SQL and databases in a business environment with large-scale, complex datasets

Exposure to statistical modeling and analyzing large data sets

Strong analytical judgement , you know what the available data can and can't answer

Genuine curiosity about qualitative, external factors, not just the numbers in front of you

Comfortable working without prompts, asking your own questions and following them through

Nice-to-haves

Experience with Python or R

Experience with data visualization tools (Looker Studio, Tableau, Power BI or similar)

Exposure to automation of reporting/analytics workflows

Experience in a marketplace, on-demand, or high-transaction-volume business

Our stack (so you know what you're walking into)

SQL / large-scale databases · BI and visualization tools · Python/R (where used) · data pipelines and ETLs · marketplace and product data across chat, dispatch and payments.

Experience & qualifications

2–3 years of relevant post-education work experience in analytics, business intelligence, market research or a related field.

Degree in Computer Sciences, Mathematics, Statistics, Business Analytics or a related field.

Location: Karachi only.

How we'll assess

Expect a real, data-grounded exercise , closer to what the job actually is than what a CV shows. We care more about how you question and dig into data than about polish.

What success looks like

Metrics that are trusted, well-instrumented, and actually used to make decisions

Dashboards and reports people reach for on their own, without being asked

Insights that surface opportunities others missed, not just confirm what was already known

Marketplace decisions (pricing, supply/demand, subsidies) measurably improved by your input

Pipelines and reporting that scale with minimal manual upkeep