Staff Data Analyst

Truecaller

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: You will play an important role in developing data pipelines, frameworks, and models to support the understanding of our users and better product decisions. You will help empower product teams with a complete self-serve analytics platform by working on scalable, robust solutions while collaborating with data engineers, data scientists, and data analysts across the company. What you’ll do:         Drive Architectural Vision & Execution * Design for Scale: Lead the architectural design and hands-on implementation of high-throughput, low-latency data pipelines using Spark and Kafka to process massive datasets. * Build Core Infrastructure: Develop, optimize, and maintain robust data models in BigQuery and orchestrate complex, multi-layered data workflows using Apache Airflow. * Operationalize AI/ML: Partner directly with Data Science teams to take machine learning models out of the lab and into production. Design the architecture that allows these models to serve real-time predictions and insights to downstream services.        Lead Complex, Cross-Functional Initiatives * Navigate Ambiguity: Take ownership of highly ambiguous business problems, translating vague stakeholder requirements into concrete, actionable technical roadmaps. * End-to-End Delivery: Autonomously drive complex, multi-squad projects from the initial whiteboard design phase through large-scale deployment and long-term maintenance. * Cross-Business Alignment: Collaborate with Product Owners and technical leaders across different Business Units to ensure your data systems support the overall company strategy and maximize end-user value.        Elevate Engineering Standards & Team Performance * Champion Quality: Actively lead large-scale refactoring efforts and continuously drive improvements in code quality, system reliability, and internal tooling. * Proactive Problem Solving: Act as the vanguard for system health—spotting subtle, long-term performance bottlenecks early and architecting workable solutions before they impact the business. * Mentorship & Coaching: Dedicate time to leveling up the broader engineering organization. Conduct rigorous architectural and peer code reviews, mentor senior and junior engineers, and promote a pervasive culture of technical excellence. What you bring in:         Architecture & Tech Stack * Core Engineering: Exceptional proficiency in programming in Python / Scala to build robust, highly optimized data systems. * Distributed Systems: Extensive architectural experience with Apache Spark and Kafka (or equivalents like Flink, Kinesis, GCP Pub/Sub) to build high-throughput, low-latency pipelines handling AdTech-scale data (millions of events/sec). * Data Warehousing & Orchestration: Expert in data modeling and query optimization in BigQuery (or Snowflake / Redshift). Proficient in orchestrating complex DAGs and workflows using Apache Airflow (or Dagster / Prefect). * MLOps & AI Integration: Experience deploying machine learning models into production. Ability to engineer deployment architectures that translate AI models into scalable, low-latency APIs for downstream services.        Complex Execution * End-to-End Ownership: Proven track record of leading complex, cross-squad projects from initial whiteboard design through large-scale deployment and maintenance. * Problem Decomposition: Strong ability to break down highly ambiguous technical problems into clear, actionable development plans for multiple teams.        Engineering Leadership * Engineering Standards: Drives the adoption of architectural best practices, robust testing methodologies, and high engineering standards across the organization. * System Evolution: Leads large-scale codebase refactoring, system health improvements, and the evolution of internal tooling. * Mentorship: Actively mentors senior and junior engineers, conducts rigorous architectural/code reviews, and guides the team's long-term technology choices. It would be great if you also have: * Transactional Databases: Hands-on experience with operational RDBMS (e.g., PostgreSQL, MySQL) and low-latency NoSQL data stores (e.g., Redis, Cassandra). * Microservices Architecture: Experience building or integrating with microservice ecosystems, including API design (REST, gRPC) and container orchestration (Docker, Kubernetes). * Infrastructure as Code (IaC): Proficiency in provisioning cloud data infrastructure using Terraform and configuring robust CI/CD pipeline 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 compensation package:  Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Sounds like a great opportunity? 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.

H & M Hennes & Mauritz GBC AB

Job Description WHAT YOU’LL DO​ As a Senior Data Analyst in Retail Experience, you will help teams understand what the data is telling us and use those insights to improve in‑store technology and customer experiences across our stores. You will work at the intersection of data, technology, and business to make sure insights are turned into concrete actions. → Work hands‑on with analysis across retail tech initiatives such as self‑service checkout, in‑store systems, and customer flows → Translate complex data into clear insights and actionable recommendations for product teams and business stakeholders → Act as a data partner in product teams, challenging assumptions and helping guide data‑driven decisions → Drive end‑to‑end analyses, from understanding the real business need through data exploration to storytelling and conclusions → Help shape how the analytics function evolves as the team builds up and matures ​ WHO YOU’LL WORK WITH​ You will be part of the Retail Experience area and collaborate closely with product managers, product owners, and business stakeholders within Retail Tech. The role involves frequent interaction across teams working with store operations, in‑store technology, and customer‑facing solutions, as well as close collaboration with other analysts across the organisation as the analytics capability continues to grow. ​ WHO YOU ARE​ We are looking for people with…​ → Applicable working experience or a Bachelor’s degree in Statistics, Engineering, Business, or a related field → Solid experience in data analysis with a strong analytical and problem‑solving mindset → Experience working with SQL and either Python or R → The ability to work with data from multiple sources and draw meaningful conclusions → Experience translating analysis into insights that influence decisions, not just reporting outcomes → Comfort working in less structured environments with evolving requirements And people who are…​ → Curious, proactive, and comfortable taking ownership of their area → Strong communicators who can bridge technical insights and business needs → Interested in retail, customer behaviour, and how technology impacts real‑world experiences → Able to work independently while collaborating closely with product and business partners → Motivated by building something new and leaving a tangible mark on how analytics is used ​ WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​ We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​ WHY YOU’LL LOVE WORKING HERE ​ At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year Benify Benefits Portal Community with activities JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ ​ Take the next step in your career together with us. The journey starts here.​ ​ ​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.​

H & M Hennes & Mauritz GBC AB

Job Description WHAT YOU’LL DO As a Senior Data Analyst in Retail, you will help teams understand what the data is telling us and use those insights to improve in‑store technology and customer experiences across our stores. You will work at the intersection of data, technology, and business to make sure insights are turned into concrete actions. → Work hands‑on with analysis across retail tech initiatives such as self‑service checkout, in‑store systems, and customer flows → Translate complex data into clear insights and actionable recommendations for product teams and business stakeholders → Act as a data partner in product teams, challenging assumptions and helping guide data‑driven decisions → Drive end‑to‑end analyses, from understanding the real business need through data exploration to storytelling and conclusions → Help shape how the analytics function evolves as the team builds up and matures WHO YOU’LL WORK WITH You will be part of the Retail area and collaborate closely with product managers, product owners, and business stakeholders within Retail Tech. The role involves frequent interaction across teams working with store operations, in‑store technology, and customer‑facing solutions, as well as close collaboration with other analysts across the organisation as the analytics capability continues to grow. WHO YOU ARE We are looking for people with… → Applicable working experience or a Bachelor’s degree in Statistics, Engineering, Business, or a related field → Solid experience in data analysis with a strong analytical and problem‑solving mindset → Experience working with SQL and either Python or R → The ability to work with data from multiple sources and draw meaningful conclusions → Experience translating analysis into insights that influence decisions, not just reporting outcomes → Comfort working in less structured environments with evolving requirements And people who are… → Curious, proactive, and comfortable taking ownership of their area → Strong communicators who can bridge technical insights and business needs → Interested in retail, customer behaviour, and how technology impacts real‑world experiences → Able to work independently while collaborating closely with product and business partners → Motivated by building something new and leaving a tangible mark on how analytics is used WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. 30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year Benify Benefits Portal Community with activities JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.