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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 135000.0 - 170000.0 USD per year

๐Ÿ” Healthcare

๐Ÿข Company: SmarterDx๐Ÿ‘ฅ 101-250๐Ÿ’ฐ $50,000,000 Series B about 1 year agoArtificial Intelligence (AI)HospitalInformation TechnologyHealth Care

  • 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
  • You are very well-versed in SQL and ETL processes, significant experience in dbt is a must
  • You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
  • You have strong experience in data modeling and their implementation in productionย  data pipelines.
  • You are comfortable with the essentials of data orchestration
  • Designing, developing, and maintaining dbt data models that support our healthcare analytics products.
  • Integrating and transforming customer data to conform to our data specifications and standards.
  • Collaborating with cross-functional teams to translate data and business requirements into effective data models.
  • Configuring and improving data pipelines that integrate and connect the data models.
  • Conducting QA and testing on data models to ensure data accuracy, reliability, and performance.
  • Applying industry standards and best practices around data modeling, testing, and data pipelining.
  • Participating in a rota with other engineers to help investigate and resolve data related issues.

AWSPostgreSQLPythonSQLApache AirflowETLSnowflakeData engineeringData modelingData analytics

Posted about 12 hours ago
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๐Ÿ”ฅ Senior Data Engineer
Posted about 14 hours ago

๐Ÿ“ United States of America

๐Ÿข Company: IDEXX

  • Bachelorโ€™s degree in Computer Science, Computer Engineering, Information Systems, Information Systems Engineering or a related field and 5 years of experience or Masterโ€™s degree in Computer Science, Computer Engineering, Information Systems, Information Systems Engineering or a related field and 3 years of related professional experience.
  • Advanced SQL knowledge and experience working with relational databases, including Snowflake, Oracle, Redshift.
  • Experience with AWS or Azure cloud platforms
  • Experience with data pipeline and workflow scheduling tools: Apache Airflow, Informatica.
  • Experience with ETL/ELT tools and data processing techniques
  • Experience in database design, development, and modeling
  • 3 years of related professional experience with object-oriented languages: Python, Java, and Scala
  • Design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure
  • Design metadata and schemas for assigned projects based on a logical model
  • Create scripts for physical data layout
  • Write scripts to load test data
  • Validate schema design
  • Develop and implement node cluster models for unstructured data storage and metadata
  • Design advanced level Structured Query Language (SQL), data definition language (DDL) and Python scripts
  • Define, design, and implement data management, storage, backup and recovery solutions
  • Design automated software deployment functionality
  • Monitor structural performance and utilization, identifying problems and implements solutions
  • Lead the creation of standards, best practices and new processes for operational integration of new technology solutions
  • Ensures environments are compliant with defined standards and operational procedures
  • Implement measures to ensure data accuracy and accessibility, constantly monitoring and refining the performance of data management systems

AWSPythonSQLApache AirflowCloud ComputingETLJavaOracleSnowflakeAzureData engineeringScalaData modelingData management

Posted about 14 hours ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 138000.0 - 150000.0 USD per year

๐Ÿ” Education

๐Ÿข Company: Gradient Learning

  • 5+ years of experience working in the K-12 space
  • 3+ years of experience in data product development
  • 3+ years of experience translating complex data into educator-friendly visualizations using Tableau
  • 3+ years of people management experience
  • 3+ years of experience with Snowflake or comparable cloud-based data warehousing platforms (strongly preferred)
  • Experience using AI or machine learning to enhance data analysis or deliver scalable, educator-facing insights (strongly preferred)
  • Familiarity with LTI standards, LMS platforms, and education data interoperability; direct experience with Canvas LMS (strongly preferred)
  • Knowledge of data privacy, security, and protection standards, particularly as they relate to PII and educational data (FERPA, COPPA, etc.) (preferred)
  • Design, Refine, and Lead the Data & Insights Product Strategy
  • Oversee Data & Insights Product Development and Delivery
  • Strengthen Data Infrastructure in Partnership with Information Systems
  • Lead the Data & Insights Product Delivery Team

SQLData AnalysisETLMachine LearningPeople ManagementProduct ManagementSnowflakeUser Experience DesignCross-functional Team LeadershipTableauProduct DevelopmentData engineeringCommunication SkillsAgile methodologiesRESTful APIsData visualizationStakeholder managementStrategic thinkingData modelingData analyticsData management

Posted about 15 hours ago
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๐Ÿ”ฅ Senior Analytics Engineer
Posted about 16 hours ago

๐Ÿ“ USA

๐Ÿข Company: Engine

  • 5+ years of industry experience as an Analytics Engineer in high-growth environments.
  • Strong expertise using SQL, Snowflake, Airflow, and BI tools such as Looker.
  • A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience
  • Develop and implement tools and strategies to improve the data quality, reliability, and governance at Engine.
  • Collaborate with engineering, analytics, and business stakeholders to ensure high quality data empowers every business decision to drive measurable business impact.
  • Enhance data infrastructure and analytics capabilities by working closely with our data infrastructure and analyst teams.
  • Design and build our data pipelines to support long term business growth without compromising on our day to day execution speed.

AWSDockerSQLETLGitSnowflakeAirflow

Posted about 16 hours ago
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๐Ÿ”ฅ Data Analyst - Finance
Posted about 18 hours ago

๐Ÿ“ USA

๐Ÿงญ Full-Time

๐Ÿ” Fintech

๐Ÿข Company: Comun

  • Expert-level SQL knowledge with demonstrated ability to optimize complex queries (non-negotiable)
  • At least 3+ years of practical experience in data engineering or analytics roles with financial data
  • 3+ years of experience at a fintech or financial services industries in the payments or lending space at a similar role
  • Solid understanding of finance concepts and principles
  • Proven track record building data pipelines and ETL processes
  • Experience implementing cost modeling and optimization analytics
  • Problem-solving mindset with strong analytical skills
  • Excellent communication skills to explain complex technical and financial concepts
  • Design and implement scalable data pipelines to establish and maintain a solid fund flow process
  • Automate financial reconciliation processes and generate actionable reports
  • Develop and maintain revenue and cost models to identify growth opportunities and provide insights for strategic decision-making
  • Build analytical tools to identify and quantify cost optimization opportunities across the organization
  • Monitor vendor performance metrics and evaluate new vendor opportunities
  • Implement data solutions to detect financial anomalies and uncover efficiency opportunities that drive business value
  • Perform cohort-level performance analysis to develop a deeper understanding on customer unit economics
  • Collaborate with finance, data, growth, product, and engineering teams to develop robust financial data architecture
  • Contribute to our mission of financial inclusion by enabling data-informed product and pricing decisions

AWSPostgreSQLPythonSQLData AnalysisETLSnowflakeData engineeringFastAPIFinancial analysisData modelingFinance

Posted about 18 hours ago
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๐Ÿ“ GBR

๐Ÿ’ธ 38600.0 - 55267.0 GBP per year

๐Ÿข Company: wiley_careers

  • Extensive experience with SQL, understanding of advanced procedures and optimization of queries, experience working with large sets of data within relational databases. (Snowflake/BigQuery preferred)
  • Experience working with marketing data use cases. Specifically around audience creation, user data augmentation and advanced reporting.
  • An ability to identify quickly the commercial value in data, experience of having delivered return on time investment through development of data assets at scale.
  • Able to collaborate and share ideas with non-technical colleagues, explaining complex solutions in as simple as possible way to ensure collective understanding.
  • Enhancing Marketing Insights: Leverage creative and technical skills to transform business data into valuable marketing assets, thereby enhancing the depth and quality of our marketing insights.
  • Collaborative Data Curation: Collaborate with technical data colleagues to curate and maintain sources of marketing insight and audience lists, ensuring that our data assets are well-managed and up-to-date.
  • Campaign Capability Enhancement: Contribute to projects aimed at improving our campaign capabilities, enabling more effective and targeted marketing strategies that drive business growth.
  • Data Governance and Transparency: Adhere rigorously to data governance and transparency requirements, ensuring the ethical and compliant use of data while building trust with customers and stakeholders.
  • Continuous Improvement: Actively seek opportunities to innovate and make Wiley's marketing data assets among the best in the industry, contributing to the company's ongoing success in the field.

SQLData AnalysisSnowflakeMarketingData modelingData analytics

Posted 1 day ago
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๐Ÿ“ USA

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: Spring & Bond๐Ÿ‘ฅ 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • Masterโ€™s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
  • 5+ years of analytics experience
  • Minimum of 4 yearsโ€™ hands-on experience in machine learning and relational databases.
  • Proficient in data manipulation using SQL, Python, and/or similar programming languages.
  • Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
  • Strong project-management skills managing cross-functional workflows.
  • Proven ability to build and maintain client relationships.
  • Mentor data scientists, fostering collaboration and professional growth.
  • Develop and execute a data-science strategy aligned with company objectives.
  • Design, implement, and optimize predictive models and machine-learning algorithms.
  • Partner with software engineers, product managers, and business units to deliver client-facing solutions.
  • Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
  • Manage model lifecycle: design, training, evaluation, validation, and deployment.
  • Translate complex analytical results into clear business recommendations and compelling visualizations.
  • Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
  • Analyze digital trends, user behavior, and product performance.
  • Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
  • Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
  • Support measurement strategies, including learning agendas, test plans, and frameworks.
  • Collaborate regularly with stakeholders to address digital data needs and challenges.
  • Educate research and business teams on data-best practices and infrastructure.

PythonSQLData AnalysisMachine LearningSnowflakeAlgorithmsData scienceData visualizationData modeling

Posted 1 day ago
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๐Ÿ“ United States

๐Ÿ’ธ 125000.0 - 185000.0 USD per year

๐Ÿ” SaaS

  • 7+ years of related Rev Ops/Sales Ops experience working within a high-growth SaaS company
  • Salesforce experience, particularly with accounts, opportunities, and contacts
  • High-proficiency with Excel/Google sheets including the ability to pull and organize data and build analysis via pivots and models
  • Experience with development of BI tool dashboards (e.g., Thoughtspot, Tableau)
  • Able to adopt existing processes, refine processes, and build processes from scratch
  • Operate as the strategic partner to Clariโ€™s Enterprise revenue teams
  • Deliver proactive data and metrics via multiple platforms to provide actionable insights to the Customer Success team and leadership. They will keep a keen eye on CSAT, Customer Health, Usage, Adoption, Retention, and customer engagement
  • Assist in the technology stack architecture to connect various data sources and expose key insights to the team
  • Leverage data from within a diverse set of tools including SFDC, Pendo, Snowflake, etc. to architect a clean and connected flow of information between various tools
  • Partner with our Analytics and Data Engineering teams to improve the revenue teamโ€™s usage of Customer Data. Refine, enhance, and build metrics supporting customer targeting
  • Partner with our Customer Success and Sales Engineering Program Managers to implement, measure, and enhance new programs and initiatives
  • Assist in FY Planning efforts including territory creation and balancing, budgeting and hiring plans, quota setting, and resource planning

Business IntelligenceSalesforceSnowflakeTableauMicrosoft ExcelData visualizationData modelingData analytics

Posted 1 day ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: Arrived๐Ÿ‘ฅ 1-50

  • Software engineering background with strong programming skills in Python, SQL, and modern development practices
  • Experience building and maintaining production data systems, APIs, or backend services
  • Hands-on experience with data pipeline tools (dbt, Fivetran, or similar)
  • Strong SQL skills and experience with data warehouses (Snowflake)
  • Build production data systems โ€“ design and implement scalable data pipelines, ETL processes, and APIs that handle structured and unstructured data from multiple sources
  • Develop internal applications โ€“ write maintainable code for internal tools, automation services, and integrations
  • Own system architecture โ€“ make technical decisions about data flow, system design, and technology stack choices that balance immediate needs with long-term scalability

AWSBackend DevelopmentProject ManagementPythonSQLETLSnowflakeAlgorithmsAPI testingData engineeringData StructuresREST APICommunication SkillsCI/CDRESTful APIsDevOpsData visualizationData modelingSoftware EngineeringData analyticsData management

Posted 1 day ago
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๐Ÿ“ Australia

๐Ÿ” Software Development

๐Ÿข Company: Avetta, LLC

  • Deep expertise in SQL, including writing complex queries and performance tuning.
  • Extensive hands-on experience with multiple reporting and BI tools such as Jasper Server, MicroStrategy, Sisense, SQL Server Reporting Services (SSRS), Power BI etc .
  • Extensive hands-on experience with multiple database platforms such as MySQL, Postgresql, Snowflake.
  • 3+ years in a BI/Analytics management or senior/lead BI developer role within a software development company.
  • Experience architecting and supporting distributed BI systems/cloud analytics solutions.
  • Strong understanding of data warehousing principles, data modeling (star/snowflake schemas), and data governance.
  • Proven success managing multiple projects with Agile methodologies, especially involving large data sets and complex reporting requirements.
  • Excellent interpersonal and communication skills, with a demonstrated ability to translate technical work into business value for non-technical audiences.
  • Lead, mentor, and develop a team of BI and analytics professionals, including guidance on best practices for data modeling, ETL, and reporting.
  • Collaborate with product managers, business units, and stakeholders to gather and clarify BI requirements and to translate them into scalable technical solutions.
  • Architect, enhance, and support data warehouses and analytic data marts, primarily utilizing Jasper Server, Power BI and Snowflake.
  • Oversee the design, implementation, and optimization of ETL processes to ensure the accuracy and timeliness of data integrations from multiple sources.
  • Ensure projects are tracked in JIRA, with thorough code reviews, data quality checks, and UAT/testing prior to deployment.
  • Facilitate Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives for the BI and Analytics team.
  • Drive continuous improvement in BI processes, adoption of new tools/technologies, and foster a culture of data quality and governance.
  • Troubleshoot and resolve data issues, working with engineering and business teams as needed to remove blockers.
  • Ensure smooth collaboration with engineering, infrastructure, and business analysts to provide actionable BI solutions across teams.

LeadershipPostgreSQLSQLAgileBusiness IntelligenceETLMySQLSnowflakeCommunication SkillsProblem SolvingData visualizationData modelingData analytics

Posted 1 day ago
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