Data Analyst
4 weeks ago
Remote work is possible, preferred time zones GMT+4 to GMT+10 Salmon is a next-generation fintech company founded by Pavel Fedorov, George Chesakov, and Raffy Montemayor – visionary leaders with decades of experience in global finance, banking, and technology. Our mission is bold yet simple: to reshape the banking landscape in the Philippines and prove that people deserve better financial services. Today, Salmon is not only a fast-growing technology company but also a bank with more than 60 years of heritage. In 2024, we acquired the Rural Bank of Sta. Rosa (Laguna), Inc. and transformed it into Salmon Bank (Rural Bank) Inc. We are supported by world-class investors, including the International Finance Corporation (a member of the World Bank Group) and ADQ/Lunate, the sovereign wealth fund of Abu Dhabi. More than 1 million Filipinos already trust Salmon. We give people access to a growing suite of credit and savings products. This isn’t all, and it’s just the beginning – we are continuously expanding our offerings with a clear ambition to become a true financial super app for millions more. Why join Salmon? Exponential growth: in 2025, our deposits, loans, and net income more than doubled. Loved by users: our app is rated 4.8★, and 92% of users recommend Salmon to friends and family. Top-tier team: work alongside experts from fintech, banking, startups, and global companies. Innovation at the core: we live where finance meets technology, with bold ideas shaping the future every day. At Salmon, we believe in accessibility, innovation, and bold ideas. If you want to solve meaningful problems, build products that change lives, and be part of a company growing like a rocket – this is your place. Explore our open roles and join us on the journey to shape the future of finance. This role will be part of the operational analytics stream focused on deposits. The Analyst will closely collaborate with teams working on TLS and RM processes, as well as with stakeholders who rely on deposit analytics for decision-making and bonus allocation. Key responsibilities: Assist in preparing data samples for qualitative research on deposits. Investigate and help resolve data-related issues connected with TLS and RM processes. Support analytics required for calculating and validating bonuses. Collaborate with operational teams to ensure data accuracy and consistency. Document recurring data issues and contribute to process improvements. What we expect from candidate: 6 months+ of experience in Data Analysis or a related field (internships or academic projects also considered). Solid knowledge of SQL and ability to prepare data queries and selections. Basic proficiency in BI tools will be a plus (e.g., Tableau, Power BI, or similar) Understanding of data quality issues and ability to investigate discrepancies. Strong analytical and problem-solving skills with attention to detail. Ability to work with stakeholders, communicate findings clearly, and ask clarifying questions. Eagerness to learn and grow into more independent analytical responsibilities. Why would it be cool to work with us? What we create Modern banking services for millions of Filipinos Cutting-edge solutions based on the best world practices and AI implementation Licensed neobank aiming to be a unicorn and leading fintech in the fast-growing region of Southeast Asia A business capable of raising over $60MM from the ADQ (the sovereign wealth fund of Abu Dhabi), World Bank Group and other investors despite the challenging market An environment that allows you to launch new products in 3-4 months A basis for expanding into new markets all over the world What we offer Passionate international team spanning the globe Rapid professional growth. Merit (and merit only) rules the day Reward for performance and long-term success of Salmon Fast track to grow internationally New office in Manila, Philippines Relocation support for eligible candidates Remote and hybrid optionsMedical insurance, health and wellness benefits Program of events and activities both online and in person If you wanna join our team - feel free to apply #J-18808-Ljbffr
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