Data modeling Jobs

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Data modeling

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🔥 Staff Data Analyst

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Business Services

🏢 Company: ZenBusiness Inc.

🔧 Requirements

Bachelor's degree in Business, Economics, Statistics, Computer Science, Engineering, or a related field. A Master's degree is preferred.
Minimum of 5 years of experience in product analytics or business intelligence in a technology-driven environment.
Expertise in analytics tools like Snowflake and Tableau.
Experience conducting A/B testing and validating hypotheses through analytics.
Strong communication and interpersonal skills to effectively collaborate with cross-functional teams.

💡 Responsibilities

Collaborate closely with business stakeholders and leadership to develop strategic plans for business enhancements.
Act as a key advisor by providing insights that influence strategy, prioritization, and user experience.
Present findings to executive teams in a clear manner to influence high-level discussions.
Leverage analytics tools to generate actionable insights to inform business strategies.
Work closely with data engineering and data science teams for integrated decision-making.

Python Snowflake Tableau Data modeling A/B testing

Posted about 5 hours ago

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🔥 Data Lead

Posted about 6 hours ago

📍 Germany

🔍 Insurance, Insurtech

🏢 Company: Getsafe

🔧 Requirements

Strong leadership skills to inspire and motivate teams.
Hands-on experience with modern BI tools, cloud databases, and data pipeline automation.
Proficient in SQL and Python; experience with Airflow is a plus.
Experience in data modeling, data warehousing, and ETL processes.
Excellent communication and interpersonal skills for effective collaboration.
Innovative mindset with a passion for new technologies and problem-solving.
Results-oriented with focus on continuous improvement and quality outcomes.

💡 Responsibilities

Make data accessible and integral to decision-making for stakeholders at Getsafe.
Enhance employees' ability to work with data through training and resources.
Define and implement data governance policies to maintain data quality and compliance.
Collaborate with cross-functional teams to translate business requirements into data solutions.
Drive innovation by evaluating new technologies to improve Getsafe’s data capabilities.
Mentor and coach team members to foster continuous learning and collaboration.

Python SQL Apache Airflow Business Intelligence ETL Data modeling

Posted about 6 hours ago

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🔥 Senior Data Engineer, Data Integration

Posted about 9 hours ago

📍 Canada

🔍 Home service technology

🏢 Company: Jobber👥 501-1000💰 $100,000,000 Series D almost 2 years agoSaaS Mobile Small and Medium Businesses Task Management

🔧 Requirements

Excellent ETL pipeline development skills and hands-on experience with Orchestration (Airflow).
Experience with CI/CD practices and optimizing data flow within high-volume infrastructures.
Experience with data ingestion systems (e.g., Fivetran, Airbyte) and reverse ETL systems (e.g., HighTouch, Census).
Expertise in dimensional modeling, star schemas, and warehousing concepts.
Experience with message queues (e.g., Kafka) and real-time stream processing.
Proficiency in designing and maintaining efficient data pipelines within cloud infrastructure (preferably AWS).
Strong SQL skills and knowledge of containerization (ECS orchestration) and AWS Lambda.
Ability to explain complex data concepts to technical and non-technical stakeholders.

💡 Responsibilities

Empower the Team: Develop tools, frameworks, and workflows to enhance data accessibility and enable data-driven decision-making.
Build robust alerting and monitoring systems for data quality and reliability.
Collaborate with various functions to support analyses that influence business decisions.
Work closely with software engineering teams for collaborative data development.
Accelerate Business Growth: Synchronize data between Jobber and external systems. Streamline ETL workflows using tools like Airflow and dbt.
Build data models for easier integration.
Strategize and innovate: Research emerging technologies to strengthen the data stack.
Participate in design and code reviews providing mentorship and knowledge sharing.
Ensure Data Integrity: Establish best practices for maintaining data quality.

AWS GraphQL SQL Apache Airflow ETL Kafka Data engineering Nosql CI/CD RESTful APIs Data modeling

Posted about 9 hours ago

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🔥 Loan Servicing Manager - Brazil

Posted about 22 hours ago

📍 Brazil

🧭 Contract

🔍 Financial lending or mortgage industry

🏢 Company: World Business Lenders, LLC

🔧 Requirements

Bachelor’s degree or equivalent in Accounting, Finance, Mathematics, Business Administration, Economics, Data Modeling Sciences or a related field.
5+ years progressive experience in financial analysis/modeling with data analysis in the financial lending or mortgage industry.
Solid knowledge of general business principles, finance, accounting, quantitative analysis, and finance.
Banking experience and background highly preferred.
Competent in MS Excel and other MS Office Applications.
Own laptop or desktop required.
Excellent English fluency, both written and verbal.

💡 Responsibilities

Manage the Loan Administration department.
Ensure the accuracy and completeness of loan records within the Loan Administration system.
Supervise data entry, payment processing, and uploading of payment schedules.
Coordinate responses to internal and external requests for loan-related documentation.
Lead the preparation and approval process for loan amendments.
Perform and oversee daily audits of loan records to maintain data integrity.
Other projects and duties as assigned.

Data Analysis Accounting Compliance Financial analysis Data modeling

Posted about 22 hours ago

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🔥 Loan Servicing Manager - Colombia

Posted about 22 hours ago

📍 Colombia

🧭 Contract

🔍 Financial lending or mortgage

🏢 Company: World Business Lenders, LLC

🔧 Requirements

Bachelor’s degree or equivalent in Accounting, Finance, Mathematics, Business Administration, Economics, Data Modeling Sciences or related field.
5+ years progressive experience in financial analysis/modeling, specifically in financial lending or mortgage industry.
Solid knowledge of general business principles, finance, accounting, and quantitative analysis.
Banking experience is highly preferred.
Competency in MS Excel and other MS Office applications.
Own laptop or desktop required.
Excellent fluency in English, both written and verbal.

💡 Responsibilities

Manage the Loan Administration department.
Ensure the accuracy and completeness of loan records within the Loan Administration system, supervising data entry and payment processing.
Coordinate internal and external requests for loan documentation like payoff letters and performance status reports.
Lead the approval process for loan amendments while ensuring compliance with company policies.
Perform daily audits of loan records to maintain data integrity.

Data Analysis Accounting Compliance Financial analysis Data modeling

Posted about 22 hours ago

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🔥 Sr. Data Scientist (Operations Research)

Posted 1 day ago

📍 United States

🧭 Full-Time

🔍 Construction

🔧 Requirements

Graduate degree or equivalent practical experience in statistics, computer science, applied math, operations research or related field.
4+ years working on technology-powered products and projects within operations research, supply chain optimization, or data science roles.
Demonstrated understanding of techniques and methods of modern algorithm development.
Strong cross-functional communication skills.
Must be qualified to work in the United States - we are not sponsoring any candidates at this time.

💡 Responsibilities

Create and enhance fleet management practices across the company through analytical techniques.
Develop, from scratch, simulation experiments that lead to implemented optimization algorithms to solve complex supply chain problems.
Assist in identifying key KPIs and metrics to measure company’s supply chain effectiveness.
Help identify high-value OP opportunities and measure business impact through experimentation.

Data Analysis Algorithms Data modeling

Posted 1 day ago

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🔥 Senior Software Engineer, Reporting & Analytics

Posted 1 day ago

📍 United States, Canada, Mexico

🧭 Full-Time

🔍 Transportation technology

🏢 Company: Fleetio

🔧 Requirements

5+ years of experience with Ruby on Rails
Experience with ReactJS and TypeScript
Experience working with data to craft thoughtful solutions to surface reports, analytics, and metrics
Experience writing and optimizing complex queries using SQL, CTEs, and ActiveRecord/Arel
Firm understanding of object-oriented programming and relational databases, such as PostgreSQL
Expertise with data modeling and optimizing query performance
Solid experience solving challenging architecture problems with good design
Experience with unit testing frameworks
Excellent communication skills (particularly written)

💡 Responsibilities

Your primary focus is on delivering high-quality reports, dashboards, and data insights to our customers that are accurate and performant.
You will work closely with our Data Team to implement solutions that surface data and insights via our data products, including our analytics platform.
You will take part in designing and engineering the future of data products at Fleetio.
You will collaborate closely with Product Managers, Designers, and other Engineers to consistently deliver high-quality software.
You will engage in collaborative design and architecture of features.
You will take part in planning, designing, and implementing solutions for our Reporting & Analytics web modules within Fleetio.
You will produce well-tested, maintainable, and performant code.
You will research and implement prototypes and spikes as necessary to validate assumptions and technical feasibility.
You will express your opinions to help drive development and planning processes.
You will thoroughly review your peers' code to ensure quality, maintain consistency, and share knowledge.

PostgreSQL SQL Data Analysis Ruby on Rails Snowflake TypeScript Data modeling

Posted 1 day ago

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🔥 Senior Data Engineer

Posted 1 day ago

📍 Canada

🧭 Full-Time

🔍 Smart home technology

🔧 Requirements

Proficiency in building data pipelines using Python, SQL, Apache Spark, Apache Kafka, and Apache Airflow.
Experience with cloud-based data platforms, GCP preferred.
Good understanding of the machine learning lifecycle and supporting data preparation.
Strong experience in data modeling and optimization for data warehousing solutions.
Excellent communication skills for collaboration and conveying technical concepts.

💡 Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines for data ingestion and transformation.
Integrate diverse data sources into centralized data repositories.
Monitor, optimize, and ensure reliability of data workflows.
Collaborate with cross-functional teams to understand data requirements.
Implement data quality checks and create comprehensive documentation.

Python SQL Apache Airflow ETL GCP IoT Machine Learning Apache Kafka Data modeling

Posted 1 day ago

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🔥 Data Analytics Engineer III

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 130000.0 - 150000.0 USD per year

🔍 Health and Fitness

🏢 Company: MyFitnessPal👥 51-100💰 $18,000,000 Series A over 11 years agoPersonal Health Nutrition Fitness Apps Wellness Health Care Quantified Self

🔧 Requirements

Experience with dbt and modern data modeling practices.
Proven expertise in implementing and maintaining QA/QC processes for data pipelines.
Proficiency in SQL and development languages like Python.
Ability to lead daily efforts and contribute to long-term data governance strategy.
Strong problem-solving skills and a self-starter mindset.
Experience with data warehouses like Snowflake and relational databases.
Understanding of data governance principles and data lineage.
Experience with Airflow for managing ETL/ELT pipelines.
Familiarity with API integration and design patterns.
Experience developing scalable data pipelines and resolving production data issues.

💡 Responsibilities

Lead day-to-day efforts to ensure data quality, governance, and reliability, driving long-term data governance strategy.
Design and implement automated data quality assurance (QA) and quality control (QC) processes.
Develop and maintain data validation frameworks and testing strategies for pipelines and transformations.
Conduct ad hoc analysis and investigations to deliver actionable insights.
Collaborate with the Data Platform team to improve data infrastructure and processes.

Python SQL Apache Airflow ETL Snowflake Data modeling

Posted 1 day ago

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🔥 Data Engineer

Posted 1 day ago

📍 United States

🧭 Contract

💸 103500.0 - 143500.0 USD per year

🔍 Public health

🔧 Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, or related field preferred.
Minimum of 5 years of relevant experience in data engineering.
Proficiency in programming languages such as Python, Java, Scala, or SQL.
Experience with large-scale projects using Amazon Web Services.
Strong technical writing skills for documentation and policies.
Knowledge of data warehousing concepts and cloud computing platforms.

💡 Responsibilities

Collaborate with data scientists and analysts to understand data needs.
Design scalable solutions and maintain ETL processes.
Implement security measures and manage data storage systems.
Create efficient data pipelines and monitor for performance issues.
Provide technical guidance and communicate with partners at all levels.

AWS PostgreSQL Python SQL Cloud Computing ETL Hadoop Kafka MongoDB Data engineering Nosql Data modeling

Posted 1 day ago

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