Remote Jobs in Germany

Data modeling

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🔥 Competitive Intelligence Analyst-1

Posted about 10 hours ago

📍 United States

💸 83280.0 - 99000.0 USD per year

🔍 Health Insurance

🏢 Company: external

🔧 Requirements

Bachelor's degree in business, economics, finance, data analytics, or a related field.
Minimum of 3+ years' experience in competitive intelligence, market intelligence, strategy, research, or a related field.
Strong data synthesis, visualization, and insights development skills using Microsoft Office, Visio, Tableau, and Power BI.
Strong analytical and problem-solving skills, able to synthesize data into actionable insights.
Clearly articulates insights and recommendations, both verbally and in writing. Tailor messaging to different audiences, including executives and cross-functional teams.
High attention to detail and organizational skills, ability to manage multiple projects simultaneously. Ensures accuracy in data analysis, reports, and competitive profiles.
A natural curiosity for answering questions, solving problems, and navigating unclear or evolving research needs.
Commitment to customer service in effectively managing research requests from teams and stakeholders at all levels within the organization.
Familiarity with CMS datasets, regulatory filings, benefit design, formularies, and provider network structures.
Ability to work independently to complete CI deliverables while also collaborating effectively as a team member of cross-functional teams.
Strict adherence to organizational and industry standards for confidentiality and ethical conduct in all competitive intelligence gatherings.

💡 Responsibilities

Serve as the internal subject matter expert for a defined portfolio of health insurance competitors, markets, and special topics.
Track and analyze competitor plan designs, pricing strategies, enrollment trends, market entries and exits, partnerships, marketing collateral, and other strategic actions.
Support the execution of recurring competitive intelligence deliverables, including upkeep of the CI Research Repository, weekly CI newsletter development, distribution of industry trend reports, and quarterly updates to competitor battlecards and profiles.
Monitor a broad range of ongoing healthcare industry developments, including provider network activity, competitor updates on industry-relevant AI use cases, emerging care delivery models, regulatory shifts, pharmacy trends, point solutions, and other potentially disruptive forces.
Perform in-depth research using a blend of public data sources (e.g., CMS public use files, state SERFF filings, Medicare Plan Finder, etc.), third-party intelligence platforms (e.g., Mark Farrah, Competiscan, etc.), and internal performance data.
Analysis of large datasets, uncovering trends and actionable insights through meticulous attention to detail.
Develop accurate, visually polished slide decks and reports that distill complex insights into digestible, stakeholder-friendly formats.
Fulfill ad hoc research requests of Sales, Marketing, Government Programs, Product teams, and others during bid planning and product strategy development.
Participate in strategic analysis and decision-making models, such as VRIO, PrOACT, PESTLE, etc.
Support the work of the Business Intelligence team in advancement of enterprise strategy goals.
Collaborate with the Strategic Intelligence team to identify market threats, opportunities, and differentiators.
Provide and maintain competitor data to inform the development of enterprise dashboards and strategic initiatives.
Together with the Business Intelligence and Strategic Intelligence teams, provide regular updates to internal stakeholders, such as divisional strategists, Strategy Council, and Steering Committee.

SQL Business Intelligence Data Analysis Data Mining Tableau Strategic Management Communication Skills Analytical Skills Microsoft Excel CI/CD Problem Solving Customer service Microsoft Office RESTful APIs Attention to detail Organizational skills Presentation skills Written communication Reporting Market Research Data visualization Strategic thinking Research skills Data modeling Data analytics

Posted about 10 hours ago

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🔥 Data Analyst (Remote, Graveyard)

Posted about 11 hours ago

📍 Philippines

🏢 Company: Anytime Mailbox👥 11-50 Information Services Email Information Technology Software

🔧 Requirements

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or a related field.
Proven working experience as a Data Analyst or in a similar role.
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Proficient in using statistical packages (e.g., Excel, SPSS, SAS) for analyzing datasets.
Experience with reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming (e.g., XML, Javascript, ETL frameworks).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent verbal and written communication skills.
Familiarity with call center operations and metrics (e.g., average handle time, first call resolution) is a plus.
Proficiency in data visualization tools and software such as Excel, Google Sheets, PowerPoint, and Google Slides.
Proficiency in using automation and AI is preferred.
Strong knowledge of and experience with reporting tools and data visualization (e.g., Tableau, PowerBI).
High-level experience in methodologies and processes for managing large-scale databases.
Ability to work with stakeholders to assess potential risks and translate business requirements into non-technical terms.
Experience in managing master data, including creation, updates, and deletion.
High attention to detail and strong organizational skills.

💡 Responsibilities

Gather data from various sources including call logs, customer feedback, and operational metrics.
Conduct detailed data analysis to identify key performance indicators (KPIs), trends, and outliers.
Gather, clean, and analyze structured and unstructured data from various sources.
Identify trends, correlations, and patterns to support strategic decision-making.
Utilize statistical techniques to interpret data and generate business insights.
Develop and maintain comprehensive dashboards and reports to visualize key performance indicators (KPIs) and other relevant metrics using tools such as Excel and Google Sheets.
Prepare monthly management reports and presentation materials on various topics such as business continuity, space strategy, and expense management using PowerPoint and Google Slides.
Develop and implement data collection systems and other strategies to optimize statistical efficiency and quality.
Create daily, weekly, and monthly reports as needed, including customer reports, to track performance metrics and support decision-making.
Ensure the quality and accuracy of imported data, collaborating with quality assurance analysts when necessary.
Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Work with management to prioritize business and information needs.
Support the data warehouse in identifying and revising reporting requirements.
Provide technical expertise in data storage structures, data mining, and data cleansing.
Ensure data accuracy, completeness, and consistency across different systems.
Perform data validation and collaborate with teams to resolve inconsistencies.
Establish and maintain data collection systems to enhance efficiency and reliability.
Identify, analyze, and interpret trends or patterns in complex data sets.
Locate and define new process improvement opportunities.

SQL Data Analysis Data Mining ETL Tableau Analytical Skills Reporting Data visualization Data modeling PowerPoint

Posted about 11 hours ago

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🔥 Senior Marketing Analytics Manager

Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 130500.0 - 145000.0 USD per year

🔧 Requirements

8 years of experience in data analytics or marketing science.
Advanced proficiency with data visualization tools (e.g., Tableau).
Strong understanding of data management and tracking techniques.

💡 Responsibilities

Develop and implement a structured KPI framework.
Design and oversee measurement dashboards.
Produce regular reporting with actionable recommendations.
Translate analytics into clear recommendations.

SQL Data Analysis Salesforce Google Analytics Tableau Communication Skills Analytical Skills RESTful APIs Reporting Data visualization Marketing Digital Marketing CRM Data modeling Data analytics Data management Customer Success A/B testing

Posted about 11 hours ago

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🔥 Senior Data Engineer

Posted about 11 hours ago

📍 Worldwide

🧭 Full-Time

🔍 Software Development

🏢 Company: Kit👥 11-50💰 over 1 year agoEducation Financial Services Apps

🔧 Requirements

Strong command of SQL, including DDL and DML.
Proficient in Python
Strong understanding of DBMS internals, including an appreciation for platform-specific nuances.
A willingness to work with Redshift and deeply understand its nuances.
Familiarity with our key tools (Redshift, Segment, dbt, github)
8+ years in data, with at least 3 years specializing in Data Engineering
Proven track record managing and optimizing OLAP clusters
Experience refactoring problematic data pipelines without disrupting business operations
History of implementing data quality frameworks and validation processes

💡 Responsibilities

Dive into our Redshift warehouse, dbt models, and workflows.
Evaluate the CRM data lifecycle, including source extraction, warehouse ingestion, transformation, and reverse ETL.
Refine and start implementing your design for source extraction and warehouse ingestion.
Complete the implementation of the CRM source extraction/ingestion project and use the learnings to refine your approach in preparation for other, similar initiatives including, but by no means limited to web traffic events and product usage logs.

Python SQL ETL Git Data engineering RDBMS Data modeling Data management

Posted about 11 hours ago

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🔥 Senior Data Governance Engineer

Posted about 12 hours ago

📍 Brazil

🔍 Data Governance

🏢 Company: TELUS Digital Brazil

🔧 Requirements

At least 3 years of experience in Data Governance, Metadata Management, Data Cataloging, or Data Engineering.
Have actively participated in the design, implementation, and management of data governance frameworks and data catalogs.
Experience working with Colibra and a strong understanding of the Collibra Operating Model, workflows, domains, and policies.
Experience working with APIs.
Experience with a low-code/no-code ETL tool, such as Informatica
Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
Effective English communication - able to explain technical and non-technical concepts to different audiences
Experience with a general-purpose programming language such as Python or Scala
Ability to work well in teams and interact effectively with others
Ability to work independently and manage multiple tasks simultaneously while meeting deadlines

💡 Responsibilities

Conduct detailed assessments of the customer’s data governance framework and current-state Collibra implementation
Translate business needs into functional specifications for Collibra use cases
Serve as a trusted advisor to the customer’s data governance leadership
Lead requirement-gathering sessions and workshops with business users and technical teams
Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
Provide constructive feedback and share expertise with fellow team members, fostering mutual growth and learning
Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

Python SQL ETL Data engineering RESTful APIs Data visualization Data modeling Data analytics Data management

Posted about 12 hours ago

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🔥 Health Data Analytics Engineer

Posted about 12 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 170000.0 USD per year

🔍 Healthcare

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B about 1 year agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🔧 Requirements

3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
You are very well-versed in SQL and ETL processes, significant experience in dbt is a must
You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
You have strong experience in data modeling and their implementation in production data pipelines.
You are comfortable with the essentials of data orchestration

💡 Responsibilities

Designing, developing, and maintaining dbt data models that support our healthcare analytics products.
Integrating and transforming customer data to conform to our data specifications and standards.
Collaborating with cross-functional teams to translate data and business requirements into effective data models.
Configuring and improving data pipelines that integrate and connect the data models.
Conducting QA and testing on data models to ensure data accuracy, reliability, and performance.
Applying industry standards and best practices around data modeling, testing, and data pipelining.
Participating in a rota with other engineers to help investigate and resolve data related issues.

AWS PostgreSQL Python SQL Apache Airflow ETL Snowflake Data engineering Data modeling Data analytics

Posted about 12 hours ago

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🔥 Associate, Implementations

Posted about 13 hours ago

📍 United States

💸 90000.0 - 110000.0 USD per year

🔍 Banking

🔧 Requirements

Strong problem-solving abilities and the capacity to lead strategic implementations that drive client success
Experience working in client-facing roles, ideally within professional services, consulting, or technology implementation
Familiarity with no-code/low-code platforms and workflow configuration; technical aptitude with business process optimization preferred
Experience with financial services, banking operations, or complex B2B software implementations strongly preferred
Excellent communication skills and the ability to build trust and credibility with clients ranging from bank executives to operations staff
A proactive, results-oriented mindset, with a passion for helping clients achieve their goals through innovative technology solutions
Strategic thinking combined with attention to detail—you can see the big picture while ensuring flawless execution
A drive for continuous learning and improvement, both for yourself and the clients you support

💡 Responsibilities

Lead clients through the implementation process, guiding them on best practices for configuring and optimizing workflows using Prelim's no-code platform
Manage complex, high-impact projects that enhance essential banking services, including account onboarding, customer maintenance, treasury services, and lending processes
Work collaboratively with cross-functional teams, including engineering, product, and customer success, to ensure seamless delivery of Prelim's solutions
Serve as a trusted advisor to clients, helping them understand how to fully leverage Prelim's platform to streamline operations and drive measurable business outcomes
Analyze client requirements and translate them into effective, scalable workflow configurations that address real-world banking challenges
Continuously review and refine workflows to enhance efficiency and value for both internal teams and clients
Provide strategic insights and feedback to product teams, contributing to ongoing platform improvements and innovation
Build and maintain strong relationships with banking executives and operations teams across multiple client organizations

Project Management SQL Nosql Communication Skills Analytical Skills RESTful APIs Client relationship management Cross-functional collaboration Strategic thinking Data modeling Customer Success

Posted about 13 hours ago

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🔥 Lead Pre-Sales Solution Architect – Data, Analytics, AI & Automation (Microsoft Focus)

Posted about 13 hours ago

📍 United States

💸 175000.0 - 200000.0 USD per year

🔍 Manufacturing

🔧 Requirements

10+ years of experience in data, analytics, and solution architecture roles.
Proven success in a pre-sales or client-facing architecture role.
Deep understanding of Microsoft Azure data services, including: Azure Synapse, Data Factory, Data Lake, Databricks/Spark, Fabric, etc.
Experience aligning modern data architectures to business strategies in the manufacturing or industrial sector.
Experience scoping, pricing, and estimating delivery efforts in early-stage client engagements.
Clear and confident communicator who can build trust with technical and business stakeholders alike.

💡 Responsibilities

Lead strategic discovery sessions with executives and business stakeholders to understand business goals, challenges, and technical landscapes.
Define solution architectures and delivery roadmaps that align with client objectives and Microsoft best practices.
Scope, estimate, and present proposals for complex Data, AI, and Azure-based projects.
Architect end-to-end data and analytics solutions using Microsoft Azure (Data Lake, Synapse, ADF, Power BI, Microsoft Fabric, Azure AI Services, etc.).
Oversee solution quality from ideation through handoff to delivery teams.
Support and guide sales consultants in an effort to align solutions, progress deals and effectively close business.
Collaborate with Delivery to ensure project success and customer satisfaction.
Contribute to thought leadership, IP development, and reusable solution frameworks.

SQL Cloud Computing ETL Machine Learning Microsoft Azure Microsoft Power BI Azure Data engineering RESTful APIs Data modeling Data analytics Data management

Posted about 13 hours ago

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🔥 Senior Data Engineer

Posted about 15 hours ago

📍 United States of America

🏢 Company: IDEXX

🔧 Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Information Systems Engineering or a related field and 5 years of experience or Master’s degree in Computer Science, Computer Engineering, Information Systems, Information Systems Engineering or a related field and 3 years of related professional experience.
Advanced SQL knowledge and experience working with relational databases, including Snowflake, Oracle, Redshift.
Experience with AWS or Azure cloud platforms
Experience with data pipeline and workflow scheduling tools: Apache Airflow, Informatica.
Experience with ETL/ELT tools and data processing techniques
Experience in database design, development, and modeling
3 years of related professional experience with object-oriented languages: Python, Java, and Scala

💡 Responsibilities

Design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure
Design metadata and schemas for assigned projects based on a logical model
Create scripts for physical data layout
Write scripts to load test data
Validate schema design
Develop and implement node cluster models for unstructured data storage and metadata
Design advanced level Structured Query Language (SQL), data definition language (DDL) and Python scripts
Define, design, and implement data management, storage, backup and recovery solutions
Design automated software deployment functionality
Monitor structural performance and utilization, identifying problems and implements solutions
Lead the creation of standards, best practices and new processes for operational integration of new technology solutions
Ensures environments are compliant with defined standards and operational procedures
Implement measures to ensure data accuracy and accessibility, constantly monitoring and refining the performance of data management systems

AWS Python SQL Apache Airflow Cloud Computing ETL Java Oracle Snowflake Azure Data engineering Scala Data modeling Data management

Posted about 15 hours ago

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🔥 Sr. Model Risk Quantitative Analyst (Remote)

Posted about 15 hours ago

📍 United States of America

💸 85153.0 - 136024.0 USD per year

🔍 Banking or Financial Modeling

🏢 Company: external

🔧 Requirements

In-depth knowledge in Retail modelling, PD/LGD/EAD, loss reserve, CECL, capital and stress testing models
Hands on experience in model validation and model development; and working with large and complex data sets.
Able to conduct independent testing and build challenger models for credit forecasting.
Strong knowledge of SR11-7, capital, stress testing, and other regulatory requirements.
Advanced knowledge of a statistical programming package is required.
Advanced knowledge of applied statistics such as Regression Analysis, Bayesian Statistics, Importance Sampling, etc.

💡 Responsibilities

Independently conducts model validation and model risk governance across business units.
Applies robust model validation methodology to assess the conceptual soundness of model theory, quality of model implementation, and model ongoing monitoring.
Develops and applies model quality assessment and approval criteria to ensure the integrity of model implementation, inputs, outputs, monitoring and reporting.
Assists in developing and maintain model documentation, work papers and professional reports of validation results.
Communicates findings from validate work to management and stakeholders, including recommendations as appropriate.
Summarizes and presents model validation results to model risk management committee as requested.
Ensures business continuity under all conditions, sometimes adverse, with strict adherence to established guidelines and deadlines.

SQL Data Analysis Excel VBA Risk Management Financial analysis Data modeling

Posted about 15 hours ago

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