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🔥 Senior Growth Engineer

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Email Security

🏢 Company: Valimail

🔧 Requirements

4+ years of experience with Python, SQL, or similar languages, with hands-on experience in automation and data flow management in platforms like Snowflake, Segment, Zapier, and Planhat.
2+ years in an operations role supporting Sales, Marketing, Customer Success, or Finance, with a demonstrated ability to align data operations with strategic business goals.
Required proficiency in Snowflake, Segment (or other CDP solutions), and BI tools (e.g., Sigma, PowerBI).
Familiarity with Zapier, Planhat (or similar tools such as Gainsight or ChurnZero), Salesforce, and Atlassian are a plus.

💡 Responsibilities

Oversee and optimize data flow across core platforms, including Snowflake, Sigma, Segment, Salesforce, and Planhat, ensuring seamless integration and reliable data access for cross-functional teams.
Build strong, collaborative relationships with Marketing, Sales, Finance, Product, and Engineering, facilitating data-driven insights and project alignment across departments.
Analyze customer data to derive insights that inform strategic decision-making, delivering actionable reports that support growth objectives.
Spearhead automation and optimization projects, implementing solutions that improve data flow and system efficiency.
Lead key cross-functional initiatives, ensuring smooth execution and alignment across multiple departments.
Provide valuable insights and recommendations to leadership, aligning data-driven findings with broader business objectives.
Tackle a wide range of tasks, from technical troubleshooting to strategic planning and cross-departmental collaboration.

Project Management Python SQL Business Intelligence Data Analysis ETL Salesforce Snowflake Operations Management API testing Data engineering REST API Communication Skills Analytical Skills CI/CD Problem Solving DevOps Cross-functional collaboration Data visualization Strategic thinking Data modeling Data management

Posted about 2 hours ago

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🔥 Power BI and Quality Control Engineer (ESOM - HLR)

Posted about 2 hours ago

📍 United States

🔍 Software Development

🏢 Company: Kentro

🔧 Requirements

Proven experience as a Power BI Engineer with a track record of translating complex data into actionable insights.
Proficient in data modeling, DAX, and data transformation from multiple sources.
Skilled in creating visually engaging and interactive reports and dashboards using Power BI with an understanding of user-centric design principles.
Experience in data testing and quality control to ensure data accuracy and reliability.
Experience in an object-oriented language (e.g. Java, C++, or C#)
Experience with scripting (e.g. JavaScript, Python)

💡 Responsibilities

Create visually engaging and interactive reports and dashboards that fully harness the potential of Power BI. Use various visualization techniques to present data insights in an easily understandable format.
Utilize your proficiency in data modeling, DAX, and data transformation from multiple sources to create robust and scalable data models. Ensure data is accurately transformed and ready for analysis.
Employ a user-centric design methodology to develop and automate dashboards. Ensure the design is intuitive, user-friendly, and meets the specific needs of leadership.
Develop solutions that enable real-time data for informed decision-making. Ensure dashboards are updated with the latest data and provide actionable insights.
Work collaboratively as part of a team to ensure accessibility for all users. Develop front-end functions that work seamlessly across browsers, platforms, and devices while meeting stringent accessibility and security requirements.
Implement rigorous testing procedures to ensure the accuracy and reliability of the data presented in reports and dashboards. Validate data integrity and continuously monitor data quality to prevent errors and inconsistencies.
Ensure that all developed solutions meet accessibility and security requirements. Stay updated with the latest regulations and best practices to ensure compliance.
Ability to work independently to achieve successful results with minimal guidance.

SQL ETL User Experience Design Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Quality Assurance Data visualization Data modeling Scripting

Posted about 2 hours ago

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🔥 Financial Systems Administrator (Remote)

Posted about 3 hours ago

📍 United States

💸 110000.0 - 125000.0 USD per year

🏢 Company: KnowBe4👥 1001-5000💰 $300,000,000 Post-IPO Equity almost 2 years agoComputer Security Cyber Security Network Security Software

🔧 Requirements

Bachelor's degree in relevant discipline (MIS, IT business/computer science and/or Accounting), or equivalent experience
Minimum 2 years of hands on experience with NetSuite Administration and Implementations
NetSuite Administrator level knowledge of roles, permissions, page layouts, custom objects, scripting, workflows, reports, saved searches, dashboards and forms to manage unique business process requirements within NetSuite
Experience completing full cycle NetSuite implementations for SaaS-based and/or consumer product business models (ideally both)
Demonstrates full understanding of the NetSuite stack and experienced with all NetSuite modules (Order to Case and Fulfillment, Revenue Recognition, Procurement, GL, AP, AR, FA, etc.)
Working knowledge of Suite Script, Suite Flow, csv imports, user provisioning, defining roles, analytics and scheduling scripts
Experience with Segregation of Duties and SOX controls
Experience with Strongpoint and Adaptive Insights, a plus
NetSuite Administrator Certification
Extensive technical knowledge of Netsuite
Strong analytical skills and ability to research, simplify, and resolve complex issues
Deep understanding of customizations and business processes as they relate to NetSuite
Microsoft Word, Excel, PowerPoint, and Google suite knowledge
Basic Data Analysis experience with Excel (v-lookups, pivot tables)
A deep understanding of business processes and requirements
System implementation and system integration experience

💡 Responsibilities

Collaborate and partner with internal stakeholders to ensure the design and functionality of the Enterprise Resource Planning (ERP) system is driving value and efficiency for the organization
Maintain and support the NetSuite ERP applications and related 3rd party integrations for internal stakeholders
Design, implement, and maintain configurations and customizations of NetSuite to meet the organization’s business needs
Support end-user requests for new saved searches, reports, key performance indicators (KPIs), and dashboards.
Provide internal, on-going system/technical support to users, including training and maintain proper system access for all roles
Develop, test, and deploy customizations, custom objects and new NetSuite functionality based on evolving business needs
Identify, evaluate, and recommend other key technologies required to support and improve the business process centered on the NetSuite platform
Maintain up-to-date knowledge of NetSuite functionality, customization, and integration
Support and help manage the change management and release process for NetSuite
Provide front line support with regards to all aspects of NetSuite and data integrity
Develop, document, and implement policies, procedures, and guidelines to ensure data integrity and change protocols
Develop and execute on plans for managing information technology and security for the organization, including activities to be performed in-house or through third-party relationships to best manage the organization's information systems
Configure NetSuite to support transaction flow from source applications and systems

SQL Business Analysis Data Analysis ETL Microsoft Excel Accounting Financial analysis Scripting Change Management

Posted about 3 hours ago

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🔥 Data Analyst (Product Analytics Focus with Cross-Functional Collaboration)

Posted about 5 hours ago

📍 United States

🔍 Software Development

🏢 Company: Servant👥 11-50 Consulting Advice Professional Services

🔧 Requirements

Advanced SQL skills for querying complex datasets, optimizing performance, and building custom data models.
Proficiency in Python for data manipulation, statistical analysis, automation, and developing quick ETL workflows.
Experience with product analytics tools such as Google Analytics, Amplitude, Mixpanel, or similar platforms.
Familiarity with UI/UX analytics, including heatmaps, clickstream analysis, and user flow tracking.
Expertise in creating dashboards and reports using Tableau, Power BI, or other visualization tools.
Strong foundation in statistical analysis, A/B testing, and experimentation methodologies.
Experience with cohort analysis, retention analysis, and growth metrics to support business growth initiatives.
Proven ability to work effectively with diverse stakeholders across Product, Marketing, Finance, Operations, and Donor Development.

💡 Responsibilities

Analyze user behavior, feature adoption, retention trends, and app engagement to identify opportunities for product improvement.
Conduct cohort analyses, funnel tracking, and A/B test evaluations to measure the impact of product changes and experiments.
Partner with Product Managers to translate business questions into analytical solutions, providing data-driven recommendations to influence product strategy.
Collaborate with teams across Marketing, Finance, Operations, Donor Development, and other departments to understand their data needs and deliver actionable insights.
Support marketing initiatives with campaign performance analysis, segmentation strategies, and conversion tracking.
Provide financial analysis support related to donation trends, revenue forecasts, and operational efficiency metrics.
Contribute to donor analytics by tracking engagement, retention, and giving patterns to optimize fundraising strategies.
Write complex SQL queries to extract, manipulate, and analyze large datasets from Snowflake, BigQuery, and other data sources.
Use Python for data wrangling, statistical analysis, automation of repetitive tasks, and developing quick ETL pipelines as needed.
Independently identify and implement solutions to data challenges, minimizing dependencies on Data Engineers.
Design and build interactive dashboards in Tableau, Power BI, or custom solutions to visualize key KPIs such as MAUs, donation trends, campaign performance, and operational metrics.
Automate reporting processes to improve efficiency, reduce manual errors, and ensure consistent access to up-to-date data.
Continuously improve dashboards based on user feedback and evolving business needs, ensuring insights are both accessible and impactful.
Leverage product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) to analyze user interactions and behaviors within digital products.
Conduct heatmap analyses, clickstream tracking, and user journey mapping to identify friction points and areas for optimization.
Provide data-driven recommendations to Product and Design teams to enhance user experiences and improve conversion rates.
Design, implement, and analyze A/B tests to evaluate new product features, marketing campaigns, and operational changes.
Develop statistical models to forecast user growth, donor retention, and revenue trends based on historical data and predictive analytics.
Recommend growth strategies backed by data-driven experimentation and robust analysis.
Ensure data accuracy, consistency, and reliability across all reports and analyses by implementing data validation checks and monitoring data pipelines.
Partner with the Data Architect and Data Governance Lead to uphold data standards and best practices across the organization.
Proactively identify and resolve data discrepancies, ensuring high data integrity in all outputs.
Stay current on emerging trends in product analytics, data science, and business intelligence tools.
Experiment with new technologies, programming languages, and analytical methods to continuously enhance data capabilities.
Share knowledge and best practices with the broader ACoE team, contributing to a culture of continuous improvement and data literacy across the organization.

Python SQL Business Intelligence Data Analysis ETL Numpy Snowflake Google Analytics Amplitude Analytics Tableau Product Analytics REST API Pandas Communication Skills Analytical Skills CI/CD Problem Solving Written communication Reporting JSON Cross-functional collaboration Data visualization Financial analysis Data modeling A/B testing

Posted about 5 hours ago

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🔥 Data & AI Engineer (Frankfurt, Germany)

Posted about 5 hours ago

📍 Germany

🔍 AI and data analytics consulting

🏢 Company: Unit8 SA

🔧 Requirements

MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
Proficient in one of the following languages: Python, Scala, Java.
Experience with cloud technologies is a strong plus.

💡 Responsibilities

Work with our customers to understand their challenges, design and implement solutions.
Closely collaborate with other data scientists, software engineers and business stakeholders.
Evaluate, compare and present results to technical and non-technical audience.
Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
Implement best practices in CI/CD

AWS Docker Python SQL Cloud Computing Data Analysis ETL Java Kubernetes Machine Learning Algorithms Data engineering Data science Spark CI/CD RESTful APIs Scala Software Engineering

Posted about 5 hours ago

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🔥 Senior Platform Engineer, Machine Learning

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Audit and advisory industry

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems
Experience with ML frameworks
Experience with cloud platforms, preferably AWS
Experience with container runtime architectures, preferably Kubernetes
Proficiency with at least one programming language, preferably Python or Typescript
Familiarity with CI/CD practices and tools
Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
Strong understanding of distributed systems and microservices architecture
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Design and implement infrastructure for ML model management, including training, deployment, and monitoring
Build and maintain platforms for running ML algorithms at scale
Develop systems for A/B testing, performance monitoring, and continuous model training
Create and manage ETL infrastructure to support ML workflows
Implement best practices for MLOps, including version control for models and datasets
Collaborate with ML Engineers to optimize model performance and resource utilization
Ensure the scalability, reliability, and security of ML systems
Stay current with the latest advancements in MLOps and cloud technologies
Contribute to the development of internal tools and frameworks to improve ML workflow efficiency
Be an essential technical contributor at a Series B-stage company as it scales

AWS Docker Python Cloud Computing ETL Kubernetes Machine Learning CI/CD Terraform Microservices Software Engineering

Posted about 5 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 5 hours ago

📍 USA

🧭 Full-Time

🔍 Audit and advisory

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

4-5 years of experience in applied machine learning or related field
Strong proficiency in Python and its ML/data science libraries
Extensive experience with NLP techniques and generative AI technologies
Experience with LLMs and both text-to-text and text-to-image generative models
Proficiency in working with large datasets and creating ETL processes
Experience with version control systems (e.g., Git) and CI/CD practices
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Collaborate with stakeholders to identify and map business problems to ML solutions
Design, develop, and implement ML models with a focus on NLP and generative AI applications
Curate, clean, and prepare data for model development and training
Create and maintain ETL jobs for data processing
Conduct rapid prototyping of ML solutions to quickly iterate on ideas
Stay current with the latest advancements in ML, particularly in NLP and generative AI
Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
Implement data flywheels to continuously improve ML features through increased usage
Define and implement ML performance metrics
Contribute to the product roadmap with ML-driven feature ideas
Be an essential technical contributor at a Series B-stage company as it scales

AWS Python SQL ETL Git Machine Learning Numpy Data science Pandas Tensorflow CI/CD A/B testing

Posted about 5 hours ago

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🔥 Senior Data Analyst

Posted about 7 hours ago

📍 Ireland, United States (AZ, CA, CO, CT, FL, GA, IL, IN, IA, KS, MA, MI, MN, MO, NE, NJ, NY, NC, PA, SD, TN, TX, UT, WA, WI)

🔍 Data Analysis

🏢 Company: Sojern👥 501-1000💰 $9,842,000 over 1 year ago🫂 Last layoff over 1 year agoDigital Marketing Advertising Platforms SaaS Travel

🔧 Requirements

3+ years of experience in a data-driven role, preferably in analytics, data engineering, or business intelligence.
Strong proficiency in SQL (writing complex queries, working with relational databases).
Exposure to building ETL pipelines
Familiarity with BI tools (Tableau, Power BI, Looker, etc.) and the ability to create meaningful data visualizations.
Ability to work in a fast-paced environment, manage multiple priorities, and communicate insights effectively to both technical and non-technical stakeholders.

💡 Responsibilities

Work closely with Sales, Finance, Product, and Marketing teams to understand business needs and translate them into data solutions.
Analyze large datasets to identify trends, performance metrics, and actionable insights that support strategic business initiatives.
Develop detailed reports and dashboards using Tableau to help stakeholders make data-driven decisions.
Collaborate with data scientists and operations analysts to support testing and analysis on campaigns.
Build, optimize, and maintain ETL pipelines to process and transform raw data into structured, meaningful datasets.
Work with SQL, Python, and BigQuery to extract, clean, and manipulate data from multiple sources.
Ensure data quality, integrity, and consistency across different data sources.

Python SQL Apache Airflow Business Intelligence Data Analysis ETL Jenkins Tableau Algorithms Data engineering Data Structures REST API Reporting Data entry Data visualization Data modeling Data analytics Data management

Posted about 7 hours ago

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🔥 Principal Data Engineer

Posted about 7 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Insurance

🏢 Company: external

🔧 Requirements

Extensive experience of designing and building end to end data solutions (10 years +)
Experience of carrying out data engineering design and build activities using agile working practices
Experience of Databricks solutions, Databricks administration and pyspark
Data Factory/Synapse Workspace – for building data pipelines or synapse analytics pipelines
Data Lake – Delta Lake design pattern implementation experience in Azure Data Lake Gen2
Synapse Warehouse/Analytics – Experience in Synapse data mappings, external tables, schema creation from SSMS, knowledge on how Synapse pool works behind the scenes
Azure Active Directory – for Managed identities creation and usage or for generating service principles for authentication and authorization
Version Control – Experience in building Data Ops i.e., CICD pipelines in Azure DevOps with managed identity
Unit Testing – Experience in writing unit tests for data pipelines
Data Architecture – Knowledge or experience in implementing, Kimball style Data Warehouse
Data Quality – Experience in applying Data Quality rules within Azure Data Flow Activities
Data Transformation – Extensive hands on with Azure Data Flow Activities for Cleansing, transforming, validation and quality checks
Azure Cloud – Knowledge and confidence in effective communication on Azure Cloud Subscriptions

💡 Responsibilities

Create or guide the low-level design of data solutions
Be responsible for the quality of the overall data platform(s)
Be responsible for coding standards, low level design and ingestion patterns for the data platform(s)
Develop high complexity, secure, governed, high quality, efficient data pipelines
Set the standards and ensure that data is cleansed, mapped, transformed and optimised for storage
Design and build of data observability and data quality by design into all Data pipelines
Build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications
Build physical data models that are appropriately designed to meet business needs and optimise storage requirements
Carry out unit testing of own code, peer testing of others code
Ensure that effective, and appropriate documentation that brings transparency and understandability are in place for all content on the data platform(s)
Coach and mentor Senior Data Engineers, Data engineers & Associate Data Engineers
Create high complexity BI solutions

Python SQL Agile Business Intelligence ETL Microsoft Power BI Apache Kafka Azure Data engineering CI/CD Data modeling Data analytics

Posted about 7 hours ago

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🔥 Sr. Principal Cyber Metrics & Reporting Engineer - Remote US

Posted about 11 hours ago

📍 United States

🔍 Life Science

🔧 Requirements

Minimum Bachelor's degree in Cybersecurity, Data analytics, Information Systems, or a related field.
A minimum of 8 years of demonstrable experience in cyber metrics and reporting, business analytics, requirements analysis, forecasting, industry research, planning, and/or management consulting required to enable data storytelling to enable visualization
Experience in SQL data modeling, SQL query development and understanding of ETL is required.
Understanding of designing and developing cybersecurity dashboards using tools like Tableau, Power BI, or similar.
Strong experience with requirements analysis and testing
Awareness of relevant industry trends and standard processes in cybersecurity metrics and reporting.
Ability to collect, analyze, and interpret large datasets to derive relevant insights and trends.
Ability to effectively collect and communicate complex information to customers.
Proactive and self-motivated approach to work, with excellent problem-solving and analytical skills.
Superb communication and storytelling skills, with the ability to shape messages for various audiences; including insights to executive-level audiences.
Analytical approach, with the ability to analyze data and identify insights.
Strong collaboration and customer management skills with a track record of successful delivery across multi-functional teams.
Ability to work effectively at all levels of the organization, from executive committee to individual employees.
Demonstrated Project Management, Scrum, Agile skills is required

💡 Responsibilities

As part of our multi-year strategy, shape, develop and implement an effective cybersecurity metrics & reporting requirements capability
Partner with customers to define report requirements, ensuring clarity and feasibility
Documents detailed reporting specifications, including data sources, metrics, and presentation format.
Validates report designs, data, and developed reports against business requirements.
Conducts detailed testing on reports, focusing on data preciseness, visual integrity, and usability.
Works with visualization and data & analytics teams to resolve any identified issues.
Conduct data discovery tied to requirements, including exploratory data analysis, data quality assessment.
Analyze requirements and data sources to identify patterns, key insights, action items, and storytelling potential.
Translate data into value while assessing effective data visualization, experience design and trending analytics linked to business and cybersecurity objectives.
Describe the key elements of a successful data story: knowing one’s audience, defining a goal, maintaining engagement, and being explicit about the takeaways.
Measure how a data story achieves its intended goals and where it can be optimized.
Identify, design and implement requirements to inform reporting, dashboards and strategy.
Identify and create metrics to measure performance through automated dashboards.

SQL Cybersecurity Data Analysis ETL Tableau Data engineering Data visualization Data modeling Data analytics

Posted about 11 hours ago

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