Data Analyst (Mid)

About Us

We are a fast-growing ride-hailing company transforming urban transportation. Our mission is to make mobility safer, smarter, and more accessible through data-driven decisions. As we continue to scale, we're looking for a passionate and experienced Data Scientist to join our team and play a pivotal role in driving insights, innovation, and impact across the organization.

Role Overview

We are seeking a Mid Level Data Analyst who thrives on solving complex business challenges using data. In this role, you will collaborate cross-functionally with product, engineering, operations, and marketing teams to deliver actionable insights to enhance key business areas such as pricing, supply-demand matching, customer retention, and many more.

Key Responsibilities

Participate in data cleansing projects to correct, standardize and validate large datasets

Design and build semantic data models to enable self-service data analytics and interactive dashboards

Conduct deep-dive analyses to uncover user behavior patterns, identify growth opportunities, and support strategic decisions.

Design and analyze A/B tests and other experiments to measure the effectiveness of product and operational changes.

Communicate insights and findings clearly to stakeholders at all levels, from executives to frontline teams.

Contribute to building dashboards for visibility and optimization of core ride-hailing functions (e.g., ETAs, pricing algorithms, dynamic matching).

Document data analysis pipelines and contribute to data governance policies

Requirements

Required Qualifications

Strong proficiency in SQL and data wrangling using Python or R. Preference given to Python.

2–4+ years of experience in business intelligence or data science.

Proven experience in data modeling for interactive dashboards using large and complex datasets

Experience working with large-scale data using BI tools(e.g. BigQuery, Grafana, Superset or similar).

Solid understanding of experimentation and causal inference (A/B testing, regression discontinuity, etc.).

Ability to work independently and manage multiple projects in a fast-paced environment.

Excellent communication skills with the ability to present findings clearly and influence decision-making.

Nice to Have

Experience in the mobility or logistics space.

Familiarity with geospatial data and route optimization.

Experience with dashboarding tools (e.g. Looker, or similar).

Experience with Google Cloud Platform

• Data engineering experience
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