Senior 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:  As a Senior 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 * 5+ 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 compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * 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 well-stocked snack stations 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 times per year for 3 days, 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. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ 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.