**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nPlease mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNDY=). 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#Location\nUnited States, Canada

\nJob Title: \n\nSenior ETL/Data Analyst (Contractor or Contract-to-Hire Position - we're open to both)\n\n\n\nBrief Job Description:  \n\nLiteracyPro creates software for social good. Our data collection and reporting software helps government and community-based organizations help hundreds of thousands of disadvantaged people improve their opportunities to get jobs with sustainable, living wages for themselves and their families. Enjoy being part of a fun group of bright, passionate folks, in a great working environment, with generous salary & benefits while helping those who help others.\n\nOur newest product, CommunityPro Suite (CPS), is a growing SaaS case management, referral, reporting and analysis enterprise application that enables hundreds of agencies to securely match, consolidate and share data in real time. The purpose of the software is to reduce organizational friction by helping local agencies better collaborate to help people achieve economic self-sufficiency for themselves and their families. The end-goal of CPS is to play an important role in helping to create healthy, vibrant communities in this country and the world.\n\nOur Company is experiencing explosive growth due to increasing national demand for our software, and we’re looking for that rare, accomplished data analyst who wants to do good, get paid well and have fun doing it. We’re seeking someone with an energizing leadership style, and who has the smarts, passion and people skills to guide our efforts on all aspects of the data management process, including: on-boarding; acquisition; attribution; transformation; and reporting of newly acquired data sets to provide high-quality data supporting analytics and our clients’ needs in a timely fashion.\n\nGiven the highly execution-focused nature of the work, the ideal candidate will roll up their sleeves to ensure that their projects meet deadlines and will always look for ways to optimize processes in future cycles.\n\n\nResponsibilities:\n\nThis position has the primary responsibility for the acquisition, transformation, and maintenance of data for our primary SAAS application. This data is interchanged from and returned to an increasingly diverse set of third-party source systems.\n\n\n* Conduct in-depth data profiling and data quality assessments of data received from multiple source systems to determine the current level of data accuracy, conformation to standards, reporting requirements, etc.\n\n* Investigate data flow issues by discovering system states that prevent successful job completion (source systems, infrastructure, etc.).\n\n* Identify and analyze the errors/inconsistencies in the data; provide timely resolutions for data lineage and data cleansing.\n\n* Build and validate a data quality framework with alerts for data discrepancies.\n\n* Work with the product owner/system owner, development, and QA teams to ensure alignment and proper interpretation of complex data requirements.\n\n* Develop technical documentation, including requirements documents, process overviews, data models, data flow, and ETL jobs.\n\n\n\n\nExperience and Qualifications:\n\n\n* 6+ years performing analysis and building data processes.\n\n* 6+ years of experience with ETL tasks such as reviewing business requirements, developing and troubleshooting data cleansing and loading solutions, preparing solution documentation, data dictionaries, metadata repositories, and database security.\n\n* 6+ years of industry experience with the development and implementation of enterprise-level data warehousing and supporting business intelligence initiatives, particularly focused on star schema data modeling.\n\n* 6+ years of experience with database design, including mastery of complex report queries and SQL optimization.\n\n* Experience with MySQL, Amazon Web Services, Microsoft Azure. Experience with Pentaho CE a plus!\n\n* Familiarity with the data security and privacy requirements of FERPA, HIPPA, SOC2 and related industry and legal standards\n\n\n\n\n\n* Degree in Computer Science, Information Systems, Mathematics, or equivalent quantitative field\n\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, Analyst, Amazon, Microsoft, Legal and SaaS jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nTransform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!\n\nAt Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.\n\nAre you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.\n\nIf you have a passion for and experience working with these technologies, let’s talk!\n\n\n* Matlab\n\n* DevOps in data science\n\n* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al)\n\n* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning\n\n* QlikView and Qlik Sense\n\n\n\n\nAs a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?\n\nJoin our passionate and experienced team of educators and technologists! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Video, Amazon and Microsoft jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nTransform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!\n\nPlease note that this is a contract-based course instructor role, not an in-house developer position.\n\nAt Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.\n\nAre you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.\n\nIf you have a passion for and experience working with these technologies, let’s talk!\n\n\n* Matlab\n\n* DevOps in data science\n\n* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al)\n\n* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning\n\n* QlikView and Qlik Sense\n\n\n\n\nAs a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?\n\nJoin our passionate and experienced team of educators and technologists! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Video, Amazon and Microsoft jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n