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πŸ”₯ Business Data Analyst
Posted about 1 hour ago

πŸ“ United States of America

🏒 Company: CrackerBarrelExternal

  • Bachelor’s Degree in Mathematics, Statistics, Economics, Finance or Computer Science OR relevant certification and work experience in data science/analytics tools (e.g., SQL, Python, R).
  • Experience with data visualization software such as Tableau, Power BI or equivalent tools.
  • Experience using SQL to gather and manipulate data for analysis.
  • Preferred experience using Python/R.
  • Identifies, analyzes, and presents data, and insights to various functional areas to solve business problems.
  • Collaborate with team members to collect and analyze big data from a variety of internal and external sources to enable analytic use cases.
  • Make relevant data visualizations or dashboards.
  • Automate and maintain repeatable processes.
  • Use big data tools and advanced techniques to build models (ex. Forecasting, Linear Regression, etc.)
  • Continually learn and share knowledge.

PythonSQLData AnalysisData MiningETLTableauMicrosoft ExcelData visualizationData modelingData analytics

Posted about 1 hour ago
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πŸ”₯ Sr. Engineer - Oracle PBCS
Posted about 2 hours ago

πŸ“ United States of America

πŸ’Έ 125000.0 - 140000.0 USD per year

πŸ” Real Estate

  • 3+ years of experience in Applications or Business Analytics
  • Required experience in Oracle PBCS
  • Strong understanding of financial systems such Banner
  • Strong technical knowledge of enterprise applications and integrations
  • Ability to rephrase business requirements to technical requirements and vice versa
  • Experience with a wide array of cloud-based tools, including Asana and ServiceNow
  • Strong communication skills, with the ability to initiate and drive projects proactively and accurately with a large, diverse team
  • Ability to manage multiple projects and priorities in a fast-paced environment
  • Entrepreneurial mindset with the ability to work independently with minimal direction
  • Previous experience managing employees is a plus
  • Multifamily and/or Finance experience is a plus
  • Provide daily support, troubleshoot and optimize enterprise applications, prioritizing user satisfaction and system reliability
  • Be the technical owner for enterprise applications (such as Banner and PBCS) and influence operational and tactical decisions around these applications to best serve the organization
  • Act as a liaison between departments to gather business requirements and convert them into detailed technical specifications
  • Work closely with business stakeholders and technical teams to integrate applications and drive efficiencies
  • Communicate effectively with both internal and external stakeholders to ensure alignment and impactful results
  • Assign project tasks, monitor performance, and provide technical guidance to ensure successful delivery of projects
  • Assist with the efforts to evaluate, select and implement new technologies to enhance applications, where necessary
  • Provides data‐driven insights to assist team managers and business stakeholders
  • Actively seek opportunities to improve business processes and drive efficiencies
  • Regularly review and update application controls, and support audits and risk assessments
  • Work with end users to provide best practices and tips on application(s) usage including training, when required
  • Maintain regular communication with vendors to ensure optimal utilization of applications
  • Offer operational and tactical solutions to the business
  • Achieve outcomes that meet with Service Level Agreements (SLAs) and adhere to business deadlines
  • Maintain comprehensive documentation of system configurations, issues, fixes, and enhancements
  • Manage offshore resources to ensure timely deliverables

Project ManagementSQLBusiness AnalysisBusiness IntelligenceCloud ComputingData AnalysisETLAnalytical SkillsReportingStrong communication skillsFinancial analysisData modelingFinanceData management

Posted about 2 hours ago
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πŸ“ Ukraine

πŸ” Mobile App Platforms

🏒 Company: LyftπŸ‘₯ 5001-10000πŸ’° $400,000,000 Post-IPO Equity over 4 years agoπŸ«‚ Last layoff about 2 years agoRide SharingTransportationAppsMobile AppsSoftware

  • 3+ years of experience in a data science or analytics role, ideally with experience in mobile app platforms (iOS/Android)
  • Proficiency in SQL with the ability to write structured and efficient queries on large datasets
  • Strong programming skills, particularly in data science and visualization libraries (Python or R)
  • Experience designing and analyzing A/B experiments, particularly within mobile app features or user experience testing
  • Demonstrated ability to conduct data analysis, solve complex business problems, and derive actionable insights
  • Leverage data to provide insights on rider and driver app behavior, platform interactions, and app performance.
  • Identify improvement opportunities for mobile app features that drive engagement, retention, and user satisfaction.
  • Apply analytics, causal inference, and experimentation techniques to solve business problems related to app development and optimization.
  • Design and analyze experiments for app features; communicate results to technical and non-technical audiences to guide product decisions.
  • Build models to optimize app features, such as notifications, UI/UX interactions, and ride matching, improving the overall app experience.
  • Establish and monitor metrics to assess the health of Rider and Driver apps.
  • Develop and maintain analytical frameworks and dashboards to track app performance and guide ongoing improvements.
  • Partner with product managers, engineers, business development, and other stakeholders to translate analytical insights into decisions and action, ensuring alignment with product goals.
  • Design and implement data pipelines to support app data analysis and product implementation across iOS and Android platforms.

PythonSQLData AnalysisETLData scienceCommunication SkillsAnalytical SkillsData visualizationData modelingA/B testing

Posted about 2 hours ago
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πŸ”₯ Senior Data Scientist, GTM
Posted about 3 hours ago

πŸ“ United States, Canada

πŸ’Έ 150000.0 - 180000.0 USD per year

πŸ” Restaurant

  • Excellent SQL and Python skills
  • Strong data science and analytics background
  • Experience with SaaS and/or startups preferred
NOT STATED

PythonSQLData AnalysisETLMachine LearningBusiness OperationsData scienceAnalytical SkillsRESTful APIsData visualizationSaaS

Posted about 3 hours ago
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πŸ“ United States of America

πŸ’Έ 330000.0 - 400000.0 USD per year

πŸ” Cybersecurity

🏒 Company: crowdstrikecareers

  • Proven experience in leading data platform teams in a fast-paced and petabyte scale environment.
  • Proven experience in creating services with high availability, data durability and performance.
  • Experience building machine learning platforms, real time analytics and graph systems.
  • Strong technical skills in data architecture, ETL processes, database management, and cloud technologies.
  • Excellent communication skills with the ability to collaborate effectively with stakeholders at all levels.
  • Strong leadership abilities with a track record of building high-performing teams.
  • Craft a comprehensive data strategy roadmap.
  • Oversee the design and management of a scalable data infrastructure.
  • Drive and uphold a culture of continuous improvement and operational excellence.
  • Implement best practices for data governance, security, and compliance.
  • Collaborate with cross-functional teams to identify business requirements and ensure data platform solutions meet those needs.
  • Drive innovation by exploring new technologies and tools to enhance the data platform capabilities.
  • Monitor performance metrics, identify areas for improvement, and implement solutions to optimize data platform efficiency.
  • Provide guidance and mentorship to team members, fostering a culture of continuous learning and development.

Apache AirflowCloud ComputingCybersecurityETLMachine LearningApache KafkaData engineeringNosqlData visualizationData modeling

Posted about 3 hours ago
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πŸ”₯ Machine Learning Engineer
Posted about 5 hours ago

πŸ“ United States

🧭 Full-Time

πŸ” Business Intelligence

🏒 Company: TigerEyeπŸ‘₯ 11-50πŸ’° $30,000,000 Series A over 2 years agoSaaSSalesEnterprise SoftwareSoftware

  • A Graduate degree in Statistics, Applied Mathematics, or a related field/equivalent experience
  • Substantial experience with statistics and data modeling
  • Knowledge of statistical techniques to build predictive models
  • Knowledge of time series analysis
  • Solid understanding of computer science, coding principles and algorithms
  • Proficiency in programming languages such as Go, Dart, and Python
  • Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ go-to-market teams
  • Own training, integration, deployment, versioning, and monitoring of ML components
  • Improve TigerEye’s existing metrics collection and analysis techniques in order to expand the range of questions TigerEye is able to explore
  • Build a customizable heuristic system to surface actionable insights
  • Provide quantitative rationale to inform group decision-making processes
  • Design and build our ML infrastructure, including integration with customer data
  • Develop AI agents (both standalone agents, as well as within the context of multi-agent architecture) from start to finish. This includes from product ideation, to agent/LLM orchestration to qualitative and quantitative evaluation

AWSPythonSQLCloud ComputingData AnalysisETLMachine LearningNumpyAlgorithmsData engineeringGoPandasTensorflowData modeling

Posted about 5 hours ago
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πŸ”₯ Data Engineer (Remote)
Posted about 6 hours ago

πŸ“ Rio de Janeiro, BR, SΓ£o Paulo, BR, Buenos Aires, AR, Mexico City, MX

🧭 %Label_position_type_contract%

πŸ’Έ 4850.0 - 5250.0 USD per month

πŸ” Software Development

🏒 Company: Blue Orange DigitalπŸ‘₯ 101-250πŸ’° $699,999 Corporate about 3 years agoCloud Data ServicesArtificial Intelligence (AI)Big DataPredictive AnalyticsData IntegrationMachine LearningAnalyticsData VisualizationSoftware

  • BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
  • At least 2 years experience building and supporting data platforms; exposure to data technologies like Azure Data Factory, Azure Synapse Analytics, Airflow, Spark, etc.
  • Experience with Cloud Data Platforms, like Snowflake and Databricks.
  • Advanced level Python, SQL, and Bash scripting.
  • Experience designing and building robust CI/CD pipelines.
  • Strong Linux system administration skills.
  • Comfortable with Docker, configuration management, and monitoring tools.
  • Knowledge of best practices related to security, performance, and disaster recovery.
  • Experience working in cloud environments, at a minimum experience in Azure and AWS.
  • Enjoys collaborating with other engineers on architecture and sharing designs with the team.
  • Excellent verbal and written English communication.
  • Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment.
  • Work with data teams to help design, build, and deploy data platforms in the cloud (Azure, AWS, GCP) and automate their operation.
  • Work with Azure DevOps, Azure Pipelines, Terraform, CloudFormation, and other Automation and infrastructure tools to build robust systems.
  • Work with Databricks, Spark, Python other data orchestration, and ETL tools to build high-performance data pipelines.
  • Provide leadership in applying software development principles and best practices, including Continuous Integration, Continuous Delivery/Deployment, and managing Infrastructure as Code and automated Testing across multiple software applications.
  • Support heterogeneous technologies environments including both Windows and Linux systems.
  • Develop reusable, automated processes, and custom tools.
  • Any other duties as directed by your direct manager.

AWSDockerPythonSQLApache AirflowBashCloud ComputingETLSnowflakeAzureData engineeringSparkCI/CDLinuxDevOpsTerraformData modelingScripting

Posted about 6 hours ago
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πŸ”₯ Data Analyst (Remote)
Posted about 6 hours ago

πŸ“ SΓ£o Paulo, BR, Buenos Aires, AR, Mexico City, MX, Lima, PE, Rio de Janeiro, BR

🧭 %Label_position_type_contract%

πŸ’Έ 5250.0 - 5550.0 USD per month

πŸ” Software Development

🏒 Company: Blue Orange DigitalπŸ‘₯ 101-250πŸ’° $699,999 Corporate about 3 years agoCloud Data ServicesArtificial Intelligence (AI)Big DataPredictive AnalyticsData IntegrationMachine LearningAnalyticsData VisualizationSoftware

  • 1+ years of experience building and supporting reporting and dashboarding platforms.
  • Hands-on PowerBI expertise including DAX and PowerBI Administration.
  • SQL Expertise.
  • Azure experience.
  • Power Apps exposure.
  • Growth Mindset: A strong desire to learn and grow using various tools is essential.
  • Versatility: Interest in becoming a β€œjack of all trades” in technology, with the ability to adapt and take on new challenges.
  • Communication: Strong communication skills are necessary to work with internal teams and stakeholders effectively.
  • Take ownership of Power BI server management, including dashboard deployment, usage monitoring, and overseeing Power BI Premium.
  • Confirm successful ETL completions and troubleshoot issues as needed.
  • Work closely with internal teams via Teams to support data-related tasks and ensure smooth operations.
  • Provide support to team members in building visualizations in Power BI, optimizing queries, and improving efficiency.
  • Work within Databricks and Azure environments, taking on different tasks as needed and showing a willingness to learn new tools.
  • This is a long-term position with growth opportunities, including training from experienced team members.
  • And other requests as directed by your manager.

SQLETLMicrosoft AzureMicrosoft Power BI

Posted about 6 hours ago
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πŸ“ Canada

πŸ’Έ 107000.0 - 134000.0 CAD per year

πŸ” Software Development

  • Strong experience in AR, with additional knowledge of cash management and purchasing processes.
  • Strong experience with Oracle Fusion.
  • Proven ability to configure systems and provide actionable suggestions to stakeholders.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills to engage effectively with diverse teams and stakeholders.
  • Architect, Design and develop platform/product extensions, as per Oracle SAAS delivery methodology, that meets the additional functionality specified by the Business team.
  • Conduct design workshops, build proof of concepts, prototype of a working model for the effective design sign-off from the business
  • Learn the skills required to translate business problems into technical solutions as per Oracle fusion cloud AR and Revenue Cloud Service product roadmap.
  • Partner with process owners to define and benchmark operational KPI and to develop/deliver KPI dashboards and reports by using Oracle Transactional Business Intelligence (OTBI), Oracle Business Intelligence Publisher (BIP), etc
  • Plan, Design, develop, test and deploy Integrations involving systems like Oracle Fusion Cloud AR, Revenue Management Cloud Service, Highradius, Monkey, Salesforce, etc
  • Develop and deliver cost effective workflows per business requirements - to create journals, invoke SaaS APIs, to upload monthly usage billing, create reports for critical month end processes
  • Use developer tools and events for performing data loads and amendments
  • Configure and develop payment integrations to invoke APIs and create payments with external banks, payment platforms.
  • Manage KLO, upgrades, stories in sprint delivery
  • Mentor and lead junior consultants in the team to enable them to make project deliverables.
  • Provide support to the business team with the adoption approach around CPQ, QTC process
  • Develops and executes system conversion and implementations.

SQLBusiness IntelligenceCloud ComputingETLRESTful APIsAccountingComplianceFinancial analysisData modelingData analytics

Posted about 7 hours ago
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πŸ“ United States

🧭 Full-Time

🏒 Company: CrestaπŸ‘₯ 101-250πŸ’° $125,000,000 Series D 6 months agoAutomotiveCustomer ServiceArtificial Intelligence (AI)Intelligent SystemsRetailMachine LearningTelecommunicationsNatural Language ProcessingSoftware

  • 2–5 years in data analysis, business intelligence, or GTM operations roles in SaaS or startup environments
  • Advanced Excel/Google Sheets skills (pivot tables, lookups, conditional logic)
  • Experience working with Salesforce CRM (reporting, data model understanding, etc.)
  • Familiarity with BI tools such as Looker Studio, Tableau, or Power BI
  • Strong analytical skills, attention to detail, and data quality ownership
  • Clear communicator with the ability to collaborate cross-functionally
  • Eagerness to learn, grow, and take on new challenges in a high-growth environment
  • Analyze key GTM metrics across pipeline, bookings, and customer lifecycle stages
  • Develop, automate, and maintain reporting in Salesforce, Looker Studio, Google Sheets, and Excel
  • Translate data into business insights that influence strategy and performance
  • Prepare and distribute compensation-related documents, such as commission statements and incentive plan updates
  • Ensure accurate calculation and distribution of commissions in line with sales agreements and performance metrics
  • Assist in troubleshooting commission-related issues and provide guidance to employees and managers
  • Ensure accuracy and consistency of data across Salesforce and other RevOps systems
  • Identify, investigate, and resolve data quality issues that impact reporting
  • Collaborate with Sales, Marketing, and CS teams to support recurring QBRs and ad hoc strategic initiatives
  • Provide analytical support for goal tracking, territory reviews, and performance deep-dives
  • Document recurring reporting workflows and build scalable data processes
  • Help identify automation opportunities to streamline operational efficiency
  • Ensure alignment on GTM KPIs and definitions
  • Contribute to a shared data culture by promoting transparency, consistency, and accuracy

Business IntelligenceData AnalysisETLSalesforceAnalytical SkillsMicrosoft ExcelReportingData visualizationData modeling

Posted about 8 hours ago
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Whether you're looking for stable full-time employment, the flexibility of freelancing, or a part-time side gig, you'll find plenty of options on Remoote.app.

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  • for beginners β€” ideal positions for those just starting their journey in internet working from home;
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