Data modeling Jobs

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Data modeling

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🔥 Senior Expansion Analyst

Posted about 2 hours ago

📍 Warsaw, Istanbul, Rome, Barcelona, Mexico City, Bogotá, Curitiba, Rio, Munich, Berlin

🔍 Healthcare

3-6 years of professional experience.
Fluency in English; additional languages like Spanish, Portuguese or Polish are a plus.
Quantitatively oriented educational background in Business, Data Science, Statistics, Math/Physics, or Finance.
Technical expertise in large data sets, knowledge of BI tools, and SQL.
Experience in SaaS and/or marketplace model, and business analysis.

Independently lead data analytics with a focus on MRR increase from the current customer base.
Support execution of cross-sell/upsell/pricing initiatives while liaising with in-market stakeholders.
Overall project management for selected initiatives.
Co-design and scale experiments related to pricing and packaging.
Optimize the global Expansion organization through insights from data analysis.

Python SQL Business Analysis Business Intelligence Data Analysis Machine Learning Tableau Data modeling

Posted about 2 hours ago

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🔥 Data Systems Lead

Posted about 17 hours ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, PA, OR, TX, UT, WA

🧭 Full-Time

💸 125000.0 - 170000.0 USD per year

🔍 Mobile industry

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

7-10 years of experience in data architecture, database management, or data warehousing.
3-5 years of leadership experience.
Bachelor’s degree (MBA/MIS preferred).
Expertise in SQL, data modeling, reporting, and ETL processes.
Knowledge of databases like Snowflake, Redis, MongoDB Atlas, and MemSQL.
Proven skills in data mapping, analysis, and quality management.
Solid proficiency in reporting tools, data visualization, and actionable analytics.
Familiarity with Salesforce dashboards and analytics apps preferred.
Remarkable analytical skills and the ability to translate data into meaningful insights.
Experience with data governance and performance measurement tools.

Develop and implement a MDM strategy to ensure data quality, integrity, and ownership organization-wide.
Design and manage a scalable data architecture framework to support data integration, storage, and reporting needs.
Create and uphold data governance policies and best practices across all business units.
Lead data cleanup, automation, and integration initiatives to optimize processes.
Oversee data quality management to ensure accurate reliable data for operations and decision-making.
Collaborate with business users and stakeholders to translate business requirements into functional and non-functional BI specifications.
Design and maintain data warehouses, marts, and analytical structures for reporting and BI applications.
Develop and enhance reporting tools and visualizations to drive business insights.
Maintain thorough documentation, including data dictionaries, processes, and project plans.
Stay ahead of industry trends to align data solutions with evolving business objectives.

SQL ETL MongoDB Snowflake Data visualization Data modeling

Posted about 17 hours ago

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🔥 Salesforce Developer

Posted about 22 hours ago

📍 United States

🧭 Full-Time

💸 90000.0 - 110000.0 USD per year

🔍 Specialty Construction and Home Improvement

🏢 Company: Attic Projects👥 51-100 Home Services Construction B2C

Minimum of 5 years of experience as a Salesforce Developer.
Proficiency in Apex (Classes & Trigger), Lightning Web Components, and Salesforce Flow.
Proven experience building Salesforce projects from scratch, including designing systems, processes, and dashboards without pre-established frameworks.
Strong ability to communicate with business stakeholders, understand non-technical requirements, and translate them into effective technical solutions.
Expertise in Salesforce development, data migration, and creating user-friendly dashboards that enhance operational efficiency.
Experience with REST API integrations and data modeling.
Familiarity with SOQL, SOSL, Visualforce, and Javascript.
Familiarity with Agile or Kanban methodologies.
Self-motivated and capable of working independently in a remote environment.
Excellent problem-solving and communication skills.
Salesforce certifications (e.g., Platform Developer I/II) are preferred.

Develop custom Apex classes, triggers, and Lightning Web Components to enhance functionality.
Design and maintain data models, including custom objects and relationships.
Implement integrations with external systems using REST APIs.
Automate business processes using Salesforce Flow and other declarative tools.
Collaborate with cross-functional teams to gather requirements and deliver solutions.
Participate in Agile/Kanban workflows, including sprint planning and daily stand-ups.
Conduct unit testing and support user acceptance testing to ensure quality.
Maintain technical documentation and provide ongoing platform support.

Javascript REST API Data modeling

Posted about 22 hours ago

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🔥 IS Senior Manager, MyAmgen Product Owner - US Remote - East Coast

Posted about 23 hours ago

📍 United States

🧭 Full-Time

💸 140490.0 - 169210.0 USD per year

🔍 Biotechnology

🏢 Company: careers

Doctorate, Master's, Bachelor's, Associate’s, or High school diploma with varying years of experience in managing Finance Data Model.
Ability to define and drive a product vision and roadmap.
Strong collaboration and communication skills.
Proficiency in handling product budgets.
Solid technical background to guide development efforts effectively.

Define, maintain, and drive the strategic roadmap for the MyAmgen platform.
Collaborate closely with business partners to meet their needs and deliver measurable value.
Manage the MyAmgen product team, including developers, analysts, and vendors.
Champion the product vision in alignment with strategy and employee needs.
Oversee the product budget and governance processes.

Python SQL Agile Salesforce Cross-functional collaboration Data modeling Budget management

Posted about 23 hours ago

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🔥 Data Scientist II (Remote - US)

Posted about 23 hours ago

📍 US

🧭 Full-Time

💸 110000.0 - 135000.0 USD per year

🔍 Energy efficiency and clean energy policy

🏢 Company: Energy Solutions - USA

A minimum of 5 years of work experience.
Strong critical thinking and evidence-based reasoning skills.
Proven professional experience developing analytical dashboards using BI tools, preferably Tableau.
A minimum of 3 years of experience using Python.
Experience building analytical models using a high-level programming language.
Knowledgeable about the applicability and limitations of metrics in descriptive and inferential statistics.
Capable of working independently and effectively with technical and non-technical project managers.
Able to navigate multiple interrelated projects.
Adept at communicating technical concepts to non-technical audiences.

Develop, maintain, run, and own robust analytical models and dashboards for internal and external clients.
Translate quantitative data into reports and presentations for non-technical audiences.
Own the quality and accuracy of data analyses, working with data engineers to develop quality assurance systems.
Build ETL pipelines in collaboration with other data scientists and project managers.
Work with regular expressions and/or machine learning models for fuzzy string matching.
Mentor and provide guidance to other members of the data analysis/engineering team.
Communicate and collect information from other staff, subcontractors, and clients.

Python SQL Data Analysis ETL Machine Learning Tableau Data engineering Data visualization Data modeling

Posted about 23 hours ago

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🔥 (881) Data Architect

Posted about 23 hours ago

📍 LATAM

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

Bachelor's Degree in Computer Science, Engineering, or a related field.
5+ Years of experience in designing, configuring, and implementing major data platforms.
Hands-on experience with at least two of the following: Salesforce DataCloud, Google BigQuery, AWS RedShift/Aurora, Snowflake, Azure Synapse.
5+ Years of experience working with data migration projects involving mainstream databases (e.g., SQL Server, Oracle, MySQL, DB2).
5+ Years of experience in data modeling for Data Warehouses or Data Lakes.
3+ Years of experience with Python.
3+ Years of experience with data security and privacy compliance.
Experience with major cloud technologies (AWS, GCP, Azure).
Proven experience in leading a technical team of data engineers.
Expert in SQL and data modeling for complex enterprise environments.
Experience implementing and managing data catalogs.
Proficiency in handling various data types (structured, semi-structured, unstructured, JSON, AVRO).
Experience in source code control using Git.
Understanding of diverse Data & Analytics architectures.
Advanced English Level is required.

Lead the selection process of the optimal Data Lake and Analytics solution that aligns with customer business needs.
Collaborate to identify top key requirements for platform selection.
Develop a comprehensive comparison (battlecard) of potential Data Lake and Analytics platforms.
Architect and design the enterprise data platform to ensure seamless integration and interoperability with existing systems.
Guide and mentor a team of data developers, ensuring technical excellence and efficient implementation of the selected platform.
Participate in the configuration and setup of the chosen cloud environment.

AWS Python SQL ETL GCP Git MySQL Oracle Salesforce Snowflake Azure Data engineering Data modeling

Posted about 23 hours ago

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🔥 Data & BI Engineer (German speaker)

Posted 1 day ago

📍 Spain

🧭 Full-Time

🏢 Company: isolutions

At least 1 year of hands-on experience as a Data Engineer, with a strong focus on Microsoft technologies.
Proficiency in Azure Synapse, Databricks, Azure Storage Account (Data Lake), and SQL Server.
Strong programming skills in Python and SQL.
Experience with DevOps practices for data engineering.
Familiarity with data modeling concepts such as snowflake and star schema.
Ability to create insightful visualizations using Power BI.
Excellent problem-solving and communication skills.
'Can do' mindset and proactive attitude.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Good level of German (at least B1) and excellent communication skills in English.
EU citizen or possessing a valid Spanish work visa.

Collaborate with the DATA & AI team distributed in Switzerland and Barcelona on high-end projects.
Design, develop, and implement data solutions using Microsoft technologies such as Azure Synapse, Databricks, Azure Storage Account, and SQL Server.
Create and optimize data pipelines using Python and SQL.
Implement DevOps practices for data engineering, including CI/CD pipelines and version control.
Utilize concepts like snowflake and star schema in data modeling.
Visualize data effectively using Power BI.

Python SQL Microsoft Azure CI/CD DevOps Data modeling

Posted 1 day ago

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🔥 SR QA Engineer

Posted 2 days ago

📍 Peru, Colombia, Costa Rica, Mexico, Argentina, El Salvador, Guatemala, Nicaragua, Dominican Republic

🔍 Digital development

At least 2+ years' experience administering and configuring SFDC environment with deep knowledge of the declarative capabilities.
Ability to define and suggest data models, including standard and custom objects.
Experience designing and implementing custom functionality and business processes using the Force.com platform.
Knowledge of established Salesforce.com standards, best practices, and platform features.
Expertise building workflows using standard workflow automation, Process Builder, and Flow.
Expertise with formula fields and validation rules.
Demonstrated mastery of SFDC analytic capabilities.
Demonstrated mastery of Salesforce Data Loader and mass upload processes.
Experience working in Lightning preferred.

Perform administrator functions such as user management, profiles, roles, permissions, validation rules, assignment rules, queues, licenses, capacity, and storage management.
Provide production support and troubleshooting including access issues and validation issues.
Build and maintain custom applications on the SFDC platform.
Create, deploy and monitor change sets.
Perform testing of new functionality and SFDC seasonal releases.
Prepare data files and upload the data to Salesforce.com.
Create and validate reports in SFDC to meet operational requirements.
Execute Change Management process.
Complete regular system audits and preparations for upgrades.
Stay current with new Salesforce features.

Salesforce Data modeling Change Management

Posted 2 days ago

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🔥 Head of Data

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 192000.0 USD per year

🔍 Nonprofit Education

🏢 Company: Merit America👥 11-50💰 about 4 years agoEducation Training Non Profit

Ability to drive decision-making through data using A/B testing, causal inference, and analytics.
Strong understanding of data architectures, governance, and models.
Expert people leader, mentor, and hiring manager.
Understanding of data and AI industry trends.
Expert understanding of Data Warehousing and SQL.
Knowledge of BI tools such as Hex, Looker, PowerBI.
Commitment to diversity, equity, and inclusion initiatives.

Champion a comprehensive data strategy and roadmap for learner and coach data.
Collaborate cross-functionally to execute the data roadmap and facilitate data input and analytics.
Ensure data quality and security, maintaining trust with learners.
Foster a strong data culture across the organization.
Lead the data team and invest in team members' growth.

SQL Business Intelligence Data Analysis ETL Machine Learning Data engineering Data visualization Data modeling Data analytics A/B testing

Posted 2 days ago

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🔥 Senior ETL Developer (6-month Contract)

Posted 2 days ago

📍 Canada

🧭 Contract

🔍 Advertising

Experience in data architecture and operations.
Proficiency in building and managing data pipelines.
Knowledge of business intelligence tools and analytics.

Accountable for data architecture and data pipelines management.
Responsible for building ingestion data pipelines from multiple sources.
Architecting fit-for-purpose data models for business needs.
Collaborating with BI Engineers to meet stakeholders’ requirements.

AWS Python SQL Apache Airflow Data Analysis ETL Data engineering Data modeling

Posted 2 days ago

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