Associate Data Analyst

Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out:

• We are trusted by over 450 million active users every month across 190+ countries
• We identify over 15 billion calls daily, helping users avoid spam and scams
• We are powered by a team of 450+ employees from 45+ nationalities

We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in.

As an Associate Data Analyst, you will help create extensive dashboards for the team and the organisation to leverage while determining the direction of the product, publish insights for the organisation, and will also help occasionally with data collection.

Your primary focus will be in data visualisation, doing statistical analysis, and building high quality use demographics and user interaction funnels. You will also focus on creating data pipelines to automate collection, cleaning and aggregation of data.

• →Apply your expertise in quantitative analysis, data mining, and the data visualisation of data to see beyond the numbers and understand how our users interact with our core products.
• →Partner with Product & Engineering teams to solve problems and identify trends & opportunities.
• →Inform, influence, support and execute product decisions.
• →Build/maintain reports, dashboards, and metrics to monitor the performance of products.
• →Analyse massive amounts of data and extract useful product insights.
• →Creating automated data-pipelines for collecting and aggregate user level data & carrying out ad hoc analysis on a requirement basis.

• 2-4 years of experience doing quantitative analysis.
• Expertise in querying languages:- Advance SQL is a must, 
• Experience in Hive, Spark is a plus.
• Expertise in data visualisation tools, such as Tableau, PowerBI, Looker etc.
• Ability to initiate and drive projects to completion with minimal guidance.
• Experience with large data sets and distributed computing eg using Spark is a plus.
• The ability to communicate the results of analysis in a clear and effective manner.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience in developing, scheduling, and monitoring data pipelines using Apache Airflow
• Prior experience in building data engineering pipelines using dbt a plus
• Good scripting and programming skills & great communication skills.

• Prior experience working with product based startups
• Experience in Python

We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.

We only accept applications in English.