About the role
Join Truecaller – The place where innovation meets impact! 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.
The role: As a Staff Data analyst, you’ll be responsible for
the team's quantitative insights. From understanding our data, identifying problems, to working with product, tech, and design on hypothesizing solutions. You’ll be the driver of our experimentation and learning efforts and will collaborate with different teams. What you will do: Understanding Truecaller's data. Taking ownership of quantitative insights for your team, playing a crucial role in product development. Defining experiments, overseeing their setup, and analyzing their results to drive decision-making. Developing and maintaining key performance indicators (KPIs) for
the team, ensuring their tracking, reliability, and reporting. Creating data pipelines and dashboards to measure
the team's KPIs and effectively communicate insights to both
the team and leadership. Coaching and mentoring
the team on experimentation and data-driven product development processes, fostering a culture of data-driven decision-making. What you bring in: 6-10 years of experience in Data Analytics Experience in using SQL to extract, transform, and analyse data Experience in data visualisation tools like Looker (preferred), QlikSense, Tableau, or Power BI Experience in mentoring, coaching, and evangelizing about data in product development Experience in digging into different data sources to understand why specific customer behaviours happen Fluent in spoken and written English It would be great if you also have: Big data query tools (we use BigQuery). Experience with data from mobile applications. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive
