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Data modeling

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🔥 Data Scientist - German speaker - Full Remote

Posted 33 minutes ago

📍 Germany

🧭 Full-Time

🔍 Insurance

🏢 Company: Shift Technology👥 501-1000💰 Series D over 3 years agoArtificial Intelligence (AI)Machine Learning InsurTech Information Technology Insurance

🔧 Requirements

Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users - writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
AI-savvy, either by having a degree in machine learning, or statistics, or having hands-on experience with AI- and GenAI-based methods and models to tackle complex business problems.
Clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis.
Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products.
Advanced command of German and English, both written and spoken, equivalent to a native speaker.

💡 Responsibilities

Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
Developing, testing, and tuning models using GenAI, AI, and business rules, and putting them in production for tasks such as fraud detection and automation detection in complex environments.
Automate key business tasks by implementing them in our production process framework in C#
Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions

Python SQL ElasticSearch ETL Machine Learning Numpy C#Algorithms Data engineering Data science REST API Pandas Client relationship management Data visualization Data modeling

Posted 33 minutes ago

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🔥 IT Procurement Systems Analyst

Posted 35 minutes ago

📍 United States

💸 63000.0 - 108675.0 USD per year

🔍 Health Care

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor's degree in Computer Science or related field or equivalent experience
4+ years of experience performing analysis of information systems
Experience coding; must read/comprehend code in order to design technical specifications

💡 Responsibilities

Utilize in-depth technical knowledge for analysis and drive technical transition, system modification/enhancements, and aid in process of technical development.
Be a strategic liaison and focal point of communication between GTS staff, management, and business partners in order to achieve creative and effective technical solutions.
Perform strategic technical research and analysis for all lines of business.
Produce efficient functional and technical specifications for moderately complex to complex projects
Research and determine technical system implications from business user stories
Provide technical requirements definition, detailed development specifications, development, test methods, and project/functionality delivery in line with the long-term goals and objectives and architecture
Utilize developed knowledge of information systems, including but not limited to system flow, input and output requirement, infrastructure, and coding, in order to create technical designs which, ensure business needs are met
Stay informed of GTS architecture and strategic goals to ensure the preservation of these in projects throughout the enterprise; also remain current and comprehend the vision, long-term objectives, and goals
Conduct technical analysis of complex issues and actively participate or lead throughout development cycles and/or enterprise modifications
Serve as resource and point of contact for technical team members for delivery and support of design/development cycle, and post-implementation
Develop technical plans and analyze, identify, plan, and manage scope and risks required to meet goals of moderately complex to complex projects
Facilitate and influence communications between technical and business units to drive technical projects to optimal outcome
Continually look for process improvement strategies
Conduct impact analysis and mitigate risks
Remain current on new technologies; introduce applicable technology in alignment with goals and for creative solutions
Guide change with a focus on optimal outcomes

Project Management Software Development SQL Business Analysis Data Analysis ETL SAP API testing REST API Analytical Skills Customer service Excellent communication skills Problem-solving skills Cross-functional collaboration Risk Management Data modeling Scripting Change Management

Posted 35 minutes ago

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🔥 Sales Operations Manager, Indirect Sales

Posted about 1 hour ago

📍 United Kingdom, Netherlands

🔍 AECO - Architects, Engineers, Construction & Owners

🏢 Company: trimblecareers

🔧 Requirements

Proven experience in sales operations leadership roles, with an indirect/partner and global go to market focus
Strong background in sales performance management, data analytics and process optimization
Expertise in designing and implementing sales quotas, territories and compensation plans
Strong process management and execution skills
Proficiency in Salesforce, Google Suite, Excel, Domo, or Tableau preferred
Strong skills in data analysis, forecasting and performance tracking
Strong stakeholder management skills, with the ability to effectively collaborate with individuals at all levels of the organisation
Excellent problem solving and critical thinking abilities, with a keen attention to detail
Strong communication skills, both verbal and written, with the ability to present complex data governance findings to nontechnical stakeholders
Familiarity with machine learning and AI techniques to enhance sales processes is a plus

💡 Responsibilities

Ownership of annual planning; GTM design including implementation of sales quotas, territories, and account alignments across our global partner and digital sales organization
Develop and execute strategies for optimizing sales performance and productivity
Collaborate with sales leadership to set and achieve revenue targets
Design and administration of sales compensation plans
Contribute to the design and execution of other sales incentives
Develop and drive sales performance plans in partnership with PX
Monitor and improve AE and Manager KPIs
Develop and maintain interactive sales dashboards and custom reports in partnership with Sales BI
Ensure data quality and integrity in CRM systems and other sales tools
Utilize data to uncover insights, predict risk and opportunities and recommend action and strategy

SQL Data Analysis Data Mining Salesforce Sales experience Data visualization CRM Data modeling Data analytics

Posted about 1 hour ago

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🔥 Senior Engineering Manager, Data

Posted about 1 hour ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Frequence

🔧 Requirements

10+ years of experience in software development, including 5+ years in leadership roles managing managers and leading high-performing engineering teams.
A deep understanding of design patterns, software development methodologies, and distributed systems architecture.
Hands-on experience with relevant technologies and tools, such as Airflow, Spark, and streaming architectures.
Well-versed in data pipelining, data warehousing, data modeling, data streaming, streaming architectures, database performance and ETL processes.
Experience in cloud infrastructure (preferably GCP) and have built large-scale, distributed systems with a focus on reliability, observability, and cost efficiency.
Data-driven, using metrics and analytics to track team performance, identify areas for improvement, and drive strategic decisions.

💡 Responsibilities

Identify and drive new strategic opportunities.
Weave AI into current data and reporting solutions.
Ensure the reliability, security and performance of database systems.
Work closely with executive leadership and other engineering leaders.
Manage managers and work effectively with skip-level employees.
Drive the planning and estimation process for cross-functional initiatives.
Proactively identify risks and implement mitigation strategies.
Advocate for strong engineering practices and software architecture improvements.
Ensure that engineering outcomes have a measurable impact on company top-line or bottom-line performance.

Leadership Project Management Python Software Development SQL Cloud Computing Data Analysis ETL GCP Kafka Kubernetes Machine Learning People Management Software Architecture Cross-functional Team Leadership Airflow Algorithms Data engineering REST API Strategic Management Spark Communication Skills Analytical Skills CI/CD Agile methodologies DevOps Microservices Risk Management Data visualization Team management Stakeholder management Data modeling Data management Budget management

Posted about 1 hour ago

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🔥 Member of Technical Staff

Posted about 2 hours ago

📍 UK

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Moonvalley AI

🔧 Requirements

MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision.
Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS).
Exceptionally strong Python skills - Minimum 5 years of experience.
Knowledge of CNN, RNN/LSTM/GRU, and Transformer models.
Rapid prototyping using open-source algorithms and shaping them to meet product needs.
Experience deploying ML models in the Cloud.
Prior experience with AWS and related services.
Experience with databases (Postgres/MySQL).
ML framework: Pytorch / Tensorflow.

💡 Responsibilities

Work closely with academic advisors to incorporate cutting-edge research into our product.
Contribute to R&D projects aimed at developing computer vision models.
Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.
Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.
Conducting experiments, analyzing results, and iterating on models to optimize performance.
Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.
Experiment, validate, and iterate on machine learning models specific to video and image processing.
Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.

AWS PostgreSQL Python Artificial Intelligence Cloud Computing Image Processing Machine Learning MySQL PyTorch Algorithms Data Structures REST API Tensorflow Data modeling

Posted about 2 hours ago

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🔥 Sr Business Data Analyst (US)

Posted about 2 hours ago

📍 United States of America

💸 68640.0 - 102960.0 USD per year

🔍 Financial Crimes Risk Management

🔧 Requirements

5+ years related business analysis experience required
Proficiency in SQL and or equivalent computer languages
Experience with data modeling and/or data transformation tools a plus (Erwin, SQL Developer, Informatica)
Experience working with Microsoft Azure cloud infrastructure a plus

💡 Responsibilities

Leads a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
Analyzes impacts to customers, stakeholders, employees, process, technology solutions to achieve business results
Understands and clarifies work packages of each assigned initiative/project inclusive of constraints (time, cost, people resources) and maintain a customer-centric approach

SQL Business Analysis Data Analysis Erwin Communication Skills Microsoft Excel Problem Solving Data visualization Data modeling Data management Change Management

Posted about 2 hours ago

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🔥 Senior Director, Strategic & Corporate Finance

Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 171000.0 - 209000.0 USD per year

🏢 Company: Headspace👥 11-50 Wellness Health Care Child Care

🔧 Requirements

10+ years of progressive experience in Strategic Finance, Corporate Finance, Investment Banking, Consulting, or other highly analytical financial roles.
Strong track record of financial leadership with experience overseeing both strategic finance and corporate financial reporting functions.
Expertise in financial modeling, forecasting, and advanced data analysis.
Ability to translate complex financial data into actionable business insights, effectively communicating to senior executives and non-finance stakeholders.
Experience managing SG&A and back-office financial operations across multiple departments.
Highly organized and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
Strong leadership and people management skills, with experience building and scaling finance teams.
BA or BS in Finance, Accounting, Economics, or a related quantitative field.

💡 Responsibilities

Lead and oversee both the Strategic Finance and Corporate Finance teams, ensuring alignment between financial planning, corporate strategy, and company growth objectives.
Drive strategic financial decision-making by integrating market trends and competitive insights through in-depth financial modeling, forecasting, and business insights that impact long-term growth and profitability.
Provide financial leadership on capital allocation decisions, including defining and managing a ROI framework to ensure optimal use of resources.
Oversee all internal and external financial reporting, ensuring accuracy, timeliness, and compliance with corporate and regulatory standards.
Manage SG&A and business partner for back-office functions such as Legal, Finance, and HR, optimizing cost efficiency and operational effectiveness.
Partner with senior business leaders across all functions to provide financial guidance, influencing corporate strategy and operational execution.
Lead deep-dive financial analyses to uncover opportunities for growth, cost optimization, and operational efficiencies.
Partner with the Finance Leadership Team and People Team to build and execute a comprehensive talent development strategy, while directly owning the growth and development of the Strategic & Corporate Finance teams. Foster leadership, collaboration, and operational excellence, ensuring alignment with Headspace’s core values and expectations for high performance

Leadership Project Management Business Intelligence Data Analysis People Management Cross-functional Team Leadership Operations Management Strategy Business Operations Financial Management Strategic Management Communication Skills Analytical Skills Microsoft Excel Accounting Compliance Reporting Budgeting Risk Management Data visualization Strategic thinking Financial analysis Data modeling

Posted about 3 hours ago

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🔥 Data Analyst

Posted about 3 hours ago

📍 United States, Canada

💸 141000.0 - 178000.0 USD per year

🔍 Software Development

🏢 Company: OpenPhone👥 51-100💰 $40,000,000 Series B almost 3 years agoProductivity Tools Messaging B2B Collaboration Software

🔧 Requirements

4+ years of experience in data analysis, preferably in a SaaS environment.
Strong analytical and problem-solving skills with a quantitative mindset.
Familiarity with analytics engineering and dbt (a plus).
Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
Ability to thrive in a high-paced, high-growth environment.
Experience managing data projects and collaborating with cross-functional teams.

💡 Responsibilities

Develop and maintain dashboards and reports using BI tools (e.g., Mode, Tableau) to support GTM teams.
Analyze marketing, advertising, and sales data, including conversion funnel and cohort retention analyses, slicing data by attribution models, and providing customer lifecycle insights.
Collaborate with stakeholders across sales, marketing, and customer success to define key metrics and reporting needs.
Write efficient SQL queries to extract, transform, and analyze data from various sources.
Assist in data modeling and transformation using dbt (a plus but not required).
Comfortable with working large and complex data coming from multiple sources such as Kafka events or web traffic data from ad platforms.
Communicate findings effectively to both technical and non-technical stakeholders.
Ensure data accuracy, integrity, and security in all reporting and analysis efforts.

SQL Data Analysis ETL Tableau Communication Skills Analytical Skills Data visualization Marketing Stakeholder management Data modeling Data analytics Data management SaaS

Posted about 3 hours ago

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🔥 Senior Software Developer, Data Technology

Posted about 4 hours ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

Posted about 4 hours ago

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🔥 AWS Technical Architect

Posted about 5 hours ago

📍 United States, Canada, India, Colombia

🔍 Software Development

🔧 Requirements

Customer-facing contact center experience
Experience building integrations across WFM, CRM, and contact center solutions
Experience with communications protocols and APIs such as WebRTC and SIP
Experience with hands-on Scripting/coding (e.g., python, java, c#, .NET, Node.js)
Communication and presentation skills with a high degree of comfort speaking with executives, IT Management, and customers
API integration experience
Strong troubleshooting and debugging skills
Experience with Cloudformation, Contact Flow Design, Lambda Integration, Lex Integration, and Call Center Routing
Proficient in understanding and documenting the infrastructure requirements and specifications, including resource types, networking, security, and compliance needs.
Knowledge of automation tools and frameworks for building, testing, and deploying software, such as Jenkins, GitLab CI/CD, CodeDeploy
Contact Center architecture knowledge
Experienced in implementing infrastructure as code using AWS Cloud Development Kit (CDK) and Terraform, ensuring consistent and efficient infrastructure deployment.
Capable of setting up monitoring and logging for infrastructure components and performing ongoing maintenance to ensure optimal performance and availability.
Experience in technology/software sales, pre-sales, or consulting
Advanced knowledge of AWS services and cloud architecture
Salesforce knowledge and familiarity with Salesforce Service Cloud
Contact center product knowledge of other platforms (Genesys, Cisco, Avaya, Twilio, etc.)
Experience with WorkForce Management solutions
Experience working with outbound dialers and campaign management
Knowledge of software development methodologies such as Agile and Scrum
AWS Cloud Practitioner Certification
AWS Developer Associate Certification or Professional
AWS Solution Architect Certification or Professional
Salesforce Certified Administrator

💡 Responsibilities

Ensure customer success in building and launching Amazon Connect solutions for NeuraFlash customers
Conduct technology assessment and audits to identify the need (from an ROI and Outcomes perspective) to move to CCaaS AWS Connect Platform, improving agent experience and productivity
Facilitate business process reviews to identify customer requirements and processes
Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
Lead discovery for customers, help customers build ROIs for projects, and deliver presentations and estimate for delivering that ROI
Translate customer requirements into contact center design, leveraging best practices, and other AWS Services
Oversee and mentor technical teams, providing guidance and support to ensure that proposed solution (on Salesforce and AWS Cloud) is delivered on time, on budget, and to the required quality standards
Act as a liaison between technical teams and business stakeholders, communicating technical concepts in a clear and understandable manner, and managing expectations and priorities
Drive best practice contact center design into each and every aspect of solution delivery
Effectively manage all aspects of project and customer communications
Deliver customer end user training and documentation
Exercise independent judgment, and take the lead role on enterprise level projects with minimal direction from senior management
Lead vision and strategy discussions with contact center and customer service leadership and management

AWS Backend Development Leadership Node.js PostgreSQL Project Management Python SQL Agile Business Intelligence Cloud Computing Data Analysis DynamoDB Full Stack Development Java Salesforce C#Amazon Web Services API testing .NET REST API WebRTC Communication Skills CI/CD Customer service Agile methodologies RESTful APIs Mentoring Linux Terraform Troubleshooting Ansible Data modeling Scripting Debugging Customer Success

Posted about 5 hours ago

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