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🔥 Workday HCM Consultant, Any HCM Module
Posted 20 minutes ago

📍 Canada, India

🏢 Company: kognitiv-careers

  • 2+ years of Workday HCM experience with one or more modules (e.g., HCM, Advanced Compensation, Recruiting, Absence, etc.).
  • Previous experience leading or implementing Workday solutions in a consulting or client-side role.
  • Ability to design and deliver comprehensive Workday solutions that meet or exceed client needs.
  • Excellent problem-solving, analytical, and communication skills.
  • Workday certification(s) preferred.
  • Lead end-to-end Workday implementations and post production optimizations.
  • Collaborate with clients to gather and analyze business requirements, transforming them into system design solutions.
  • Provide expert-level guidance on Workday functionality across various modules, ensuring efficient configuration and integration.
  • Troubleshoot complex issues and design scalable, long-term solutions for system enhancements.
  • Mentor and guide junior consultants and client teams through best practices and Workday system knowledge.

LeadershipProject ManagementSQLBusiness AnalysisCloud ComputingData AnalysisHR ManagementCommunication SkillsCollaborationProblem SolvingAgile methodologiesRESTful APIsMentoringTechnical supportChange Management

Posted 20 minutes ago
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🔥 Workday Payroll Processor
Posted 20 minutes ago

📍 United States, Canada

💸 60000.0 - 88200.0 USD per year

🏢 Company: kognitiv-careers

  • 2 years Payroll Processing using Workday is required.
  • Excellent communication skills, both verbal and written.
  • Demonstrated commitment to client satisfaction; strong customer focus with the ability to build relationships.
  • Highly self-motivated with initiative, curiosity, and willingness to learn new skills.
  • Strong analytical and problem-solving skills.
  • Ability to be effectively and actively engaged on multiple, parallel projects and deliverables.
  • Excellent time management and organization skills.
  • Capable of working within remote teams and alongside clients, as well as on individual tasks with limited supervision.
  • Ability to work in a fast-paced environment and to adapt to frequent change.
  • Providing Workday payroll settlement services to our clients.
  • Utilize your Workday experience to design, configure, test, and implement Workday Payroll Processing solutions.
  • Conduct working sessions with clients to gather, understand, and analyze business requirements.
  • Assess client needs and propose recommendations and⁄or alternative solutions to meet client goals.
  • Advise clients on best practices, recommend process improvements, and implement system enhancements.
  • Assist clients in testing Workday configuration, provide knowledge transfer, and develop documentation as applicable.
  • Use the company's methodology and processes to implement solutions successfully while remaining agile and flexible to clients' changing needs.
  • Collaborate effectively and synergistically to team-based projects.
  • Work in a fast-paced environment that requires tasks to be completed quickly and accurately.
  • Consult and execute with limited supervision on deliverables/projects across multiple, concurrent clients.
  • Complete deliverables within prescribed timelines.
  • Troubleshoot business processes, calculated fields, business logic, file loads and configuration.
  • Demonstrates ability to prioritize conflicting demands with little supervision.
  • Perform research on problems, identify the true cause, and present/implement corrective measures to the client.
  • Meet key performance indicators set for this role (ex: utilization target, service level agreements, customer satisfaction scores, etc).
  • Demonstrate Kognitiv's core value, "act like an owner", in all aspects of work.

SQLCommunication SkillsAnalytical SkillsCustomer serviceMicrosoft Office

Posted 20 minutes ago
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🔥 Applied Scientist, Adtech
Posted 24 minutes ago

📍 Finland, Sweden, Germany

🧭 Full-Time

💸 375000.0 USD per year

🔍 Adtech

🏢 Company: Wolt - English

  • Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning to drive business results and create real-world impact.
  • Expertise in Production-Level ML Solutions: You know what it takes to build robust, scalable models suitable for large-scale deployments. You’re comfortable managing the entire lifecycle of data science projects, from ideation through to production and ongoing maintenance.
  • Strong Foundations in ML and Statistics: You bring a solid educational background and practical skills in machine learning and statistics, enabling you to design reliable and meaningful solutions. Working experience with optimization is a big plus.
  • Engineering Excellence: You’re skilled in writing production-level code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable.
  • Clear Communication and Drive: You can effectively communicate complex technical concepts to non-technical audiences, bridging the gap between data science and business needs. You can take ownership of initiatives and drive projects to conclusion while working with varied stakeholders.
  • Analytical Problem-Solving: You excel at breaking down complex business challenges into clear, solvable machine learning problems, and designing data-driven solutions to address them.
  • Design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges.
  • Enhance key processes across Wolt's platform and business operations, creating measurable impact in all 29 countries where we operate.
  • Take ownership of use cases within a product development team—from identifying high-value opportunities to developing, prototyping, and deploying solutions, and ensuring they continuously improve in production.

PythonSQLData AnalysisMachine LearningMLFlowAlgorithmsData scienceAnalytical SkillsData visualization

Posted 24 minutes ago
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🔥 Sr. Principal Scientist - Clinical Pharmacology Study Lead
Posted about 1 hour ago

📍 United States

💸 170682.0 - 196063.0 USD per year

🔍 Clinical Pharmacology

🏢 Company: careers

  • Doctorate degree (PhD or DNP) OR PharmD OR MD and 2 years of Safety/Pharmacovigilance or Clinical Research experience in a hospital, university or clinical research unit setting
  • Master’s degree (MSN) and 4 years of Safety/Pharmacovigilance or Clinical Research experience in a hospital, university or clinical research unit setting
  • Bachelor’s degree (BSN) and 6 years of Safety/Pharmacovigilance or Clinical Research experience in a hospital, university or clinical research unit setting
  • Associate’s degree (ADN) and 10 years of Safety/Pharmacovigilance or Clinical Research experience in a hospital, university or clinical research unit setting
  • High school diploma / GED and LVN and 12 years of Safety/Pharmacovigilance or Clinical Research experience in a hospital, university or clinical research unit setting experience
  • Serve as clinical and subject matter expert to provide clinical/scientific knowledge for the development and execution of clinical pharmacology trials across multiple therapeutic areas.
  • Understand relevant health authority guidance and medical/scientific literature applicable to the design of various clinical pharmacology trials to ensure high quality study design, consistent with health authority requirements.
  • Understand mechanism of action, preclinical and early phase safety data, and other compound-specific details within the Investigator Brochure; translate this information to design of clinical pharmacology trials across multiple therapeutic areas.
  • Provide clinical input related to inclusion/exclusion criteria, clinical laboratory and other safety monitoring procedures, liaise with Safety Officers, and synthesize and communicate clinical information related to safety events on clinical pharmacology trials across therapeutic areas.
  • Participate in the review of key clinical pharmacology trial documents such synopses, protocols, statistical analysis plans, tables, figures and listings, clinical study reports, and publications.
  • Participate in site initiation visits, clinical study team, and ad hoc meetings to support successful conduct of clinical pharmacology studies across therapeutic areas.
  • Collaborate with the clinical operations, medical monitoring, and clinical research unit site investigators to respond to clinical questions throughout the conduct of clinical pharmacology trials.
  • Provide interpretation of safety, PK and PD data.
  • Evaluate prospective clinical trial sites for upcoming clinical pharmacology trials.
  • Travel 5 - 10%.

SQLData AnalysisCross-functional Team LeadershipCommunication SkillsAnalytical SkillsCollaborationMentoringProblem-solving skillsMS OfficeTeamworkReportingWriting

Posted about 1 hour ago
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🔥 Analytics Engineer II
Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 125000.0 - 145000.0 USD per year

🏢 Company: Spark Advisors👥 11-50💰 $25,000,000 Series B about 1 year agoFinancial ServicesRetirementEmployee Benefits

  • 4+ years of experience in data or analytics engineering.
  • Advanced proficiency in SQL and experience with DBT/Dataform for building scalable pipelines
  • Some exposure to Python and data visualization tools (e.g. Metabase, Hex, Tableau, PowerBI)
  • Detail-oriented with the ability to analyze complex data and draw conclusions even when faced with messy/incomplete data
  • Proven ability to automate data workflows using modern tools
  • Comfortable giving and receiving feedback on standardized processes to ensure quality and consistency
  • Strong communication skills for working cross-functionally with various teams
  • Design, optimize, and maintain scalable ELT data pipelines using GCP tools, focusing on BigQuery and Dataform/dbt.
  • Automate and standardize data processes to improve efficiency, reduce manual effort, and ensure consistent data flow.
  • Partner with cross-functional teams to understand business needs and translate them into technical data solutions that support data-driven insights.
  • Mentor and upskill junior engineers, fostering a collaborative and growth-oriented environment.
  • Ensure data quality through rigorous testing, analysis, and continuous improvement of data processes.
  • Own and deliver medium-scale data projects, managing end-to-end execution and stakeholder communication.

PythonSQLData AnalysisETLGCPData engineeringData visualizationData modeling

Posted about 1 hour ago
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🔥 Analytics Engineer Intern (ASO)
Posted about 1 hour ago

📍 United States of America

🧭 Internship

🔍 Healthcare

🏢 Company: healthcatalystcareers

  • Experience and comfort writing SQL code.
  • Leverage HC software and technologies to perform varied analyses in support of client outcomes improvement initiatives across clinical, operational and financial domains.
  • Design data models and visualizations that meet project requirements and comply with HC design standards and principles.
  • Ensure assigned projects are executed efficiently and according to project requirements and timelines.
  • Perform detailed data profiling and validation tests to ensure quality of measurement.
  • Understanding of Extract, Transform, and Load (ETL) processes.
  • Ability to communicate with and deliver analytics to technical, non-technical, and key stakeholders.
  • Experience developing visualizations (using Qlik, PowerBI, and/or Tableau) that consume data models for non-technical users.
  • Effective written and verbal communication, and presentation skills.
  • Desire and capability to learn new technologies (Databricks, Snowflake, etc.).
  • Work with your team to accomplish your assigned tasks and deliver value.
  • Effectively and regularly communicate status, issues, and progress of assigned tasks; Ask questions.
  • Gain an understanding of Health Catalyst culture, products, and methodologies; Grow your technical skills through practical application.
  • Identify improvement opportunities within the scope of assigned work.
  • Learn formal methods for process improvement and apply them to solve problems.

SQLData AnalysisETLCommunication SkillsData visualizationData modeling

Posted about 1 hour ago
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🔥 Digital Growth Marketing Manager - Urgently Hiring
Posted about 1 hour ago

📍 United States

💸 90000.0 - 130000.0 USD per year

🏢 Company: LawnStarter👥 101-250💰 $10,500,000 over 5 years agoInternetMarketplaceOutdoorsLandscaping

  • Experience with optimizing lead conversion through effective management of lead partners, marketing automation platforms, and customer communications.
  • Experience with Multi-Channel Acquisition
  • Proficiency in data tools like Excel and SQL is a must.
  • Manage lead acquisition efforts across various digital platforms
  • Guide partner success team to deliver excellent service
  • Manage and monitor ratings and review platforms
  • Manage posting activities across various channels to support pro acquisition
  • Utilize tools and technologies like Retool and Zapier to streamline operational workflows
  • Develop and enhance the referral program to increase customer acquisition
  • Work closely with product, sales, engineering, and customer service teams to align channel strategies
  • Constantly evaluate and test new acquisition channels

SQLData AnalysisGoogle AnalyticsSEOData visualizationMarketingLead GenerationDigital MarketingProcess improvementCRMData analyticsCustomer SuccessA/B testing

Posted about 1 hour ago
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🔥 Data Scientist
Posted about 1 hour ago

🧭 Full-Time

🔍 Software Development

🏢 Company: Bhblasted

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
  • Understanding of data engineering practices and data architecture.
  • Familiarity with version control systems (e.g., Git).
  • Programming Languages: Python, R, Java, or Scala for data analysis and modeling; SQL for data querying.
  • Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, dplyr, or similar libraries).
  • Familiarity with specific tools (Tableau, Power BI, or Looker) and Big Data Tools (Hadoop, Spark, Hive, or Kafka for large-scale data processing).
  • Competence in Cloud architectures (AWS, Google Cloud Platform GCP, Azure for deploying models and managing infrastructure).
  • Proficiency in English (both written and spoken).
  • Collect, clean, and preprocess large datasets from multiple sources (databases, APIs, web scraping, sensors, etc.).
  • Identify and correct data inconsistencies, handle missing values, and ensure data quality.
  • Prepare data for analysis by normalizing, scaling, encoding, or aggregating it as needed.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop predictive and descriptive models using supervised, unsupervised, and reinforcement learning techniques.
  • Tune model parameters to maximize accuracy and efficiency.
  • Identify and create meaningful features to improve model performance.
  • Translate data findings into actionable business recommendations.
  • Create detailed reports and presentations to communicate results to stakeholders.
  • Build interactive dashboards or visualizations for real-time data interpretation.
  • Implement ML models into production systems.
  • Create scalable data pipelines and automate processes for continuous data analysis.
  • Work with developers to integrate insights and models into business applications.
  • Ensure compliance with data privacy laws and ethical guidelines (e.g., GDPR, CCPA).
  • Maintain detailed documentation of methodologies, datasets, and workflows.
  • Protect sensitive data and ensure secure handling.
  • Work closely with business analysts, engineers, domain experts, and leadership teams.
  • Understand business needs and translate them into analytical tasks.
  • Simplify technical results for non-technical stakeholders.

AWSDockerPythonSQLCloud ComputingData AnalysisData MiningETLGCPGitHadoopJavaKafkaMachine LearningNumpyJiraTableauAlgorithmsData engineeringData sciencePandasSparkCommunication SkillsAnalytical SkillsRESTful APIsScalaData visualizationData modeling

Posted about 1 hour ago
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🔥 Data Lead
Posted about 1 hour ago

🧭 Full-Time

🔍 Tech and digital

🏢 Company: Bhblasted

  • Degree in Computer Science, Statistics, Engineering, or a related field.
  • At least 5-7 years of experience in data management and analysis, with at least 2-3 years in a leadership role.
  • In-depth knowledge of programming languages for data analysis (e.g., Python, R, SQL).
  • Familiarity with BI tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).
  • Experience in creating predictive models and applying machine learning techniques.
  • Leadership skills, team management capabilities, and experience handling complex projects.
  • Excellent communication and collaboration skills.
  • Strong results orientation and problem-solving abilities.
  • Define and implement the company's strategy for data management and analysis.
  • Coordinate and supervise a team of data analysts and specialists to ensure the quality and integrity of company data.
  • Collaborate with key business stakeholders to understand business needs and translate them into data projects and solutions.
  • Monitor the performance of data management processes and identify opportunities for improvement.
  • Develop and maintain a reporting system and dashboards to enable data visualization and interpretation.
  • Ensure compliance with data protection regulations and company policies.
  • Research and implement new technologies and tools for data management.
  • Provide support in the creation and implementation of machine learning models or artificial intelligence projects for business applications.
  • Promote a data-driven culture within the organization.

LeadershipPythonSQLApache AirflowArtificial IntelligenceData AnalysisETLHadoopMachine LearningTableauSparkReportingData visualizationTeam managementData modelingData management

Posted about 1 hour ago
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🔥 Senior Security Engineer, Detection & Response (Eastern Preferred)
Posted about 2 hours ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Docker👥 251-500💰 $105,000,000 Series C about 3 years agoDeveloper ToolsDeveloper PlatformInformation TechnologySoftware

  • Background in Information Security, Computer Science, Computer Engineering, Forensics, or equivalent work experience.
  • 4-5 years of hands-on experience in detection and response, including triage and incident response in enterprise SaaS environments.
  • Proven experience in building log ingestion and normalization pipelines across diverse systems.
  • Expertise in Detection as Code, particularly using Python and SQL.
  • Subject matter expert in endpoint security and/or cloud security.
  • Strong working knowledge of Mac, Linux, and Windows operating systems.
  • Hands-on experience with major cloud infrastructures, including AWS, Azure, and GCP.
  • Experience with Kubernetes is a nice-to-have.
  • Demonstrated experience working across multiple teams in collaborative security roles.
  • Monitor, detect, and respond to cybersecurity threats, lead incident investigations, conduct root cause analysis, and automate threat detection and hunting.
  • Develop detection and response playbooks and participate in on-call rotations.
  • Design, implement, and maintain log ingestion, parsing, and normalization pipelines across endpoint, network, cloud, and application logs.
  • Ensure log consistency across EDR, SIEM, SOAR, and threat detection tools.
  • Use Terraform, Kubernetes, and scripting to automate log infrastructure in cloud environments and improve security monitoring efficiency.
  • Ensure log storage and retention meet regulatory and security requirements, support audit to maintain compliance
  • Work with Product Security, Infrastructure, DevOps, and IT on various initiatives to mature the Detection Engineering program and strengthen Docker’s overall security posture.
  • Partner with stakeholders to improve threat intelligence, detection, and incident response capabilities.

AWSPythonSQLCloud ComputingCybersecurityGCPKubernetesMac OS XAzureLinuxDevOpsTerraformComplianceScripting

Posted about 2 hours ago
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We’ve developed a well-thought-out service for home job matching, making the searching process easier and more efficient.

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For those looking for fully remote jobs in their own country, our platform offers the ability to customize the search based on your location. This is especially useful if you want to adhere to local laws, consider time zones, or work with employers familiar with local specifics.

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Once you register, you can set up convenient notification methods, such as receiving tailored job listings directly to your email or via Telegram. This ensures you never miss out on a great opportunity.

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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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We feature offers for people with all levels of expertise:

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To begin searching for home job opportunities, follow these three steps:

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If you don't have a resume yet, use our online builder. It will help you create a professional document, highlighting your key skills and achievements. The AI will automatically optimize it to match job requirements, increasing your chances of a successful response. You can update your profile information at any time: modify your skills, add new preferences, or upload an updated resume.