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Smile is the largest provider of reward programs in the world. We reward tens of millions of people every year, and power rewards programs for thousands of businesses around the world. With all this data, weโre looking for talented Data Analysts to join the growing Data Science team. The ideal candidate is data curious, detail-oriented, great at communication, and loves solving problems. Weโve got big scaling plans in 2019 and beyond - we need amazing talent to achieve our goals and you get to be the one to find them and bring them to Smile!\n\nWhatโs it like to work at Smile.io?\n\nWe are a team of smart self-starters who build efficient and unique solutions to problems. Youโll be working with some amazing talent and you'll constantly be pushed to challenge yourself and improve your skills. This starts in the interview process, where youโll be asked to show us your skills in real-time. Itโs not an easy process, but we think youโll find it rewarding and a great preview to what working here is really like.\n\nAs a team, weโre driven by these core values:\n\nBe Humble - think of the team before thinking of yourself. We have no room for massive egos.\nBe Hungry - set hard goals, ask lots of questions and learn every day.\nBe Human - show empathy towards others, consider the impact of your decisions on other teams.\nWe collaborate on everything. Our communication tools and our space are designed with this in mind - from physical areas to connect in comfort to Slack channels of all sorts, we enable you to reach out to those around you to make sure you have the information you need to make great decisions.\n\nWe know that Smile.io as a business is in constant evolution - the same is true of our people. Weโre here to support each other in our growth, so we talk openly about our career goals, hopes & dreams. With such a diverse team of people, we know we can offer you the mentorship, tools and encouragement you need to grow.\n\n# Responsibilities\n
Immediate Challenges:\n\nJumping in and getting your hands dirty with large-scale datasets\nThinking about the big picture to help develop our longer-term data strategy\nContributing to the conceptualization of the overall Data strategy at Smile\nResponsibilities:\n\nWork closely with Sales, Marketing, and Finance teams to identify important questions, define key success metrics, and shape data-informed product/business strategies\nSolve challenging business problems through hands-on analytics work\nAdd value to our products and clients through deep analysis and insights and compelling narratives\nDevelop strong hypotheses, independently solve problems and influence major business decisions with sound data and reasonin \n\n# Requirements\nWhat weโre seeking:\n\n3+ years of experience in a Data Analyst role or related position\nA love of solving complex business problems using your strong analytical skills\nSelf-motivated and independent, ability to learn and adapt in a fast-paced environment\nExcellent communication skills, with the ability to clearly explain technical terms to a non-technical audience\nHands-on experience with relational databases\nExperience and passion for developing the right metrics and dashboards/visualization\nTraits or experience weโd love to see (you donโt need them all to apply!):\n\nExperience with teaching and/or presenting to an audience\nHands-on experience with relational databases\nEquivalent Experience or Post-Secondary education in Computer Science, Software Engineering, statistics, economics, mathematics, or similar quantitative discipline \n\nPlease mention the words **CORN HOOD MIMIC** when applying to show you read the job post completely (#RMy4xMzguMTIyLjE5NQ==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior and Analyst jobs that are similar:\n\n
$60,000 — $125,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.