Data Analyst

The right candidate would have experience in data analysis roles, preferably in a startup environment, and possess a high level of ownership, efficiency, and a data-driven mindset. You will be analytical, comfortable with a fast-moving organization, and eager to collaborate with different teams to drive impact across the organization.

As a Data Analyst, you will:

Documentation, Reporting, Root Cause analysis of Prediction issues.

Analyze ingested and system-generated data for anomalies and gaps.

Refer to various data sources to plug those gaps.

Create data stories and come up with possible solutions in terms of QA process flow change and/or automation. Own the subsequent plan and execution.

Automation of Performance/Accuracy review processes, report generation, data visualization using Python, SQL.

Support engineering and data science teams in system-level data fixes. Understand how the engine makes predictions, explore possible improvements in the process by fixing/introducing new data/features.

Support the customer operations, marketing team in getting insights from the data, such as performance, accuracy metrics, impact of real-time events, etc. as required.

Maintain, own internal and customer dashboards based on the trial/account requirements (e.g. prediction accuracy, timeliness, coverage, explainability).

To thrive in this role, you must have:

Bachelors or Master s degree in Computer Science, Engineering, Information Technology, or a related field.

Prior experience in data analysis or data analyst roles, preferably in a startup environment.

Exceptionally skilled in Python and SQL, with a demonstrated ability to consistently produce reusable and highly scalable code.

An eye for detail: Looking for anomalies in the system.

Familiarity with Linux, GitHub, product development.

Proven experience with data visualization.

Empathy and Urgency: to feel the customer pain and react promptly on a day-to-day basis

A Problem solver & go-getter: either programmatically or manually meeting customer expectations and delivering on time.

Fluent with written and verbal in English.

Strong ownership mindset, efficiency, and data-driven approach.

Good to have: basic understanding of machine learning algorithms.

If this role sounds like you, then we would love to hear from you to discuss this great opportunity!