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Data modeling

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🔥 PL Product Management Assistant

Posted about 5 hours ago

📍 Argentina

🔍 Insurance

🏢 Company: Capgemini👥 10001-350000 IT Services and IT Consulting

🔧 Requirements

Experience in this field: Minimum: 1-3 years, Preferred: 4-6 years
Experience in Insurance Companies: Required (Personal Lines is preferred, but background in commercial or business lines is also accepted)
Bachelor's degree in related fields
Strong Microsoft Office skills, including Excel and Access
Basic programming skills for statistical purposes, preferably in SAS
Excellent verbal and written communication skills including ability to make effective presentations
Demonstrated ability to secure 'buy-in' and convince others regarding best approach
Goal oriented team player with a positive attitude
Excellent time management skills
Strong relationship building
Fluency in English

💡 Responsibilities

Analyze information using data correlation, and statistical analysis. Develop data and information structure.
Create and modify computer programs to extract information from company databases.
Prepare state indications and other analyses of loss experience, retention, and expense data.
Suggest enhancements to standard methodologies.
Perform primary field research, including customer, distribution, competitor, insurance department, and market surveys.
Work with State Offices to support rate proposal and marketing plan development.
Identify market segments and develop specialized pricing approaches.
Prepare exhibits for state filings and respond to requests from regulators for additional data.
Provide detailed requirements for systems implementation projects.
Measure and monitor performance of states, initiatives, and identified segments.

SQL Agile Data Analysis Microsoft Access Microsoft SQL Server Product Management SAS EG Analytical Skills Microsoft Excel Microsoft Office Presentation skills Time Management Written communication Verbal communication Data visualization Financial analysis Data modeling English communication

Posted about 5 hours ago

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🔥 Loan Accounting and Risk Manager - (Remote - US)

Posted about 5 hours ago

📍 United States

🔍 Finance

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

Bachelor’s degree in economics, mathematics, finance, accounting, or a related field.
At least 5 years of progressive experience in Credit Administration/Risk Management, Loan Accounting, or Finance.
Minimum 2 years of direct experience with CECL calculations in a mid-sized or larger financial institution is preferred.
In-depth knowledge of CECL accounting standards, regulatory guidance, and industry best practices.
Proficiency in advanced Excel functions and familiarity with business intelligence tools like PowerBI and SQL.

💡 Responsibilities

Own and manage all accounting functions related to the credit union’s loans, ensuring accurate and timely completion of CECL models, support calculations, and reconciliations.
Collaborate with loan origination departments and senior management to guide the development of reserve methodologies and assist with special projects.
Serve as the department liaison for internal and external credit union projects, including the implementation of interdepartmental initiatives.
Lead the development and enhancement of financial models and processes, ensuring adherence to industry best practices and regulatory requirements.
Provide expertise on CECL accounting standards and ensure compliance with all relevant regulations, including federal and state guidelines.

SQL Accounting Compliance Risk Management Financial analysis Data modeling

Posted about 5 hours ago

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🔥 Earth Observation Specialist

Posted about 6 hours ago

📍 United Kingdom, other parts of the UK, internationally

🧭 Contract

🏢 Company: Global Canopy👥 11-50 Sustainability

🔧 Requirements

Deep knowledge of earth observation (EO) datasets and tools
Track record in design of algorithms to analyse satellite data
Strong writing skills with a track record of successfully delivering projects

💡 Responsibilities

Pilot design
Research, analysis and measurement of supply sheds
Drafting and publication of final output

Python SQL Data Analysis Image Processing Project Coordination Algorithms Communication Skills Analytical Skills Problem Solving RESTful APIs Written communication Research Data visualization Data modeling Data management

Posted about 6 hours ago

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🔥 CRM Support Specialist

Posted about 6 hours ago

📍 Poland, Romania, Bulgaria, Colombia, India, Ukraine, Sweden, UK, US

🔍 Software Development

🏢 Company: N-iX👥 1001-5000 IT Services and IT Consulting

🔧 Requirements

BA/MS degree
Previous experience in the same role, managing CRM system (Salesforce, Dynamics 365, Hubspot)
Upper-Intermediate English level (you will be working in fully English-speaking environment, both in the CRM system and with English-speaking internal company stakeholders)
Demonstrated ability to see the big picture while giving close attention to details
Excellent people skills, ability to handle diverse personalities, and able to work across departmental lines effectively
Good prioritization skills
Ability to work independently, have a positive, team-oriented attitude
Ability to react quickly
Strong computer skills and the ability to learn and apply new skills quickly
Desire to contribute and grow with a rapidly expanding business
Expectation of a minimum two-year commitment to the role

💡 Responsibilities

Corporate CRM management and completion on a daily basis. Full responsibility over data integrity and data quality in the CRM system. Work closely with CRM Administrator
Researching potential customer information and maintaining accurate records of customer relationships in the corporate CRM
Audit, creation and maintenance of department knowledge base
Reports preparation related to department activities, business development, and marketing
Supporting other business development efforts as required to reach successful business development results
Helping with conference preparation, support with searching information, and outreach potentially interesting leads
CSAT and Quarterly business update preparation for existing portfolio of customers, communicating with the team, gathering all the necessary information
Cover other data-related inquiries and ensuring everything is up to date.

Data Analysis Microsoft Dynamics Salesforce Microsoft Excel Reporting Data entry Computer skills CRM Data modeling Data management Customer support English communication

Posted about 6 hours ago

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🔥 Revenue Operations Manager

Posted about 6 hours ago

📍 UK

🧭 Full-Time

💸 95000.0 - 115000.0 GBP per year

🔍 SaaS

🏢 Company: Sona👥 51-100💰 $27,500,000 Series A 10 months agoProductivity Tools Employment Human Resources Apps Enterprise Software

🔧 Requirements

5+ years in a Revenue Operations, Sales Ops, or Marketing Ops role within a SaaS (ideally vertical SaaS), enterprise sales environment.
Deep understanding of B2B SaaS revenue models, GTM strategy, and enterprise sales cycles.
Proven technical expertise with CRM (ideally HubSpot), analytics tools, and sales engagement platforms.
Strong data analytics skills—comfortable with dashboards, SQL, or similar tools.
Ability to align cross-functional teams and build scalable RevOps processes.
Passion for process optimisation, automation, and driving data-led decisions.
Strategic thinker who can balance high-level planning with hands-on execution.

💡 Responsibilities

Ensure Marketing, Sales, and Customer Success share common goals (e.g., pipeline conversion, customer lifetime value). Improve collaboration and visibility across teams for seamless lead handoffs.
Own and maintain a centralised data repository, integrating CRM (HubSpot), analytics tools, and conversation intelligence platforms (Gong, Trumpet).
Manage and optimise our data ecosystem, providing real-time insights that drive smarter decisions. Develop segmentation models to improve targeting and conversion rates.
Design and refine lead management, campaign execution, and feedback loops to improve efficiency and alignment between teams.
Oversee and enhance our RevOps tech stack (HubSpot, Zoominfo, Gong), automating workflows to boost efficiency and ensure seamless integration.
Implement multi-channel attribution models to track revenue contribution across outbound, inbound, events, and paid channels.
Track and report marketing’s contribution to revenue, develop forecasting models, and ensure accountability for pipeline performance.
Create repeatable playbooks for sales and marketing teams to scale efficiently.
Provide insights into churn risks and identify upsell/cross-sell opportunities within the customer base.

SQL Data Analysis Salesforce Cross-functional Team Leadership Amplitude Analytics Tableau Business Operations Product Analytics API testing REST API Analytical Skills Data visualization Strategic thinking Process improvement CRM Financial analysis Data modeling Data analytics Data management SaaS

Posted about 6 hours ago

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🔥 Staff Machine Learning Engineer

Posted about 8 hours ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted about 8 hours ago

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🔥 Senior Manager, Global Compliance Systems and Analytics

Posted about 8 hours ago

📍 USA

🧭 Full-Time

🔍 Fintech, Banking, Consulting; RegTech

🏢 Company: Deel👥 1001-5000💰 $300,000,000 Secondary Market about 1 month agoCompliance Human Resources Bookkeeping and Payroll Recruiting

🔧 Requirements

7+ years of experience in programming, data management, systems management, preferably compliance, in either fintechs, banking, consulting; RegTech system experience is a plus.
BA/BS or masters degree in computer science, engineering, or a related field
Experience in working hands on with other cross-functional teams in a remote first environment.
Proficiency and experience with programming languages to compete and / or support projects for compliance systems using Java, Python, SQL or R
Proven experience in managing model validations tied to NYDFS 504 and OCC / FDIC / FRB requirements
Agile, flexible and able to change gears without getting frustrated.
Experience in building and motivating teams.

💡 Responsibilities

Collaborate with cross functional Product and Implementation teams and take ownership of implementing, managing, enhancing and maintaining AML, Sanctions, and related compliance systems/analytics and reporting solutions, including system management, data collection, aggregation, and assessment of new systems.
Own Compliance vendor relationships, oversee KPI’s and the quality of deliverables, collaborate with Procurement in contracts renewals and finalizing contracts with new vendors.
Support and drive Compliance system walkthroughs with regulators, auditors, examiners in relation to compliance systems, analytics, and data requirements. Write and maintain compliance documentation for compliance systems and analytics.
Drive data compilations for risk assessments in Compliance (e.g. AML/OFAC RA) as well as across cross functional departments ( e.g. SOC reporting)
Collaborate with Data team to Develop system and compliance metrics and implement processes to ensure we have consistent and accurate data at all times, Use data to form valuable insights on AML and Sanctions compliance requirements
Work with Product and Compliance to document, maintain, and tune AML and OFAC sanctions rules, sanctions screening systems, and models as well as detailing data lineage models and rule assumption and parameters.
Collaborate with Product to oversee and monitor the performance of pre and post implementation testing of AML and Sanctions systems
Lead rule coverage assessments and related exercises, eg.NYDFS 504
Use continuous techniques to drive maturity and drive automation and promote efficient gains for key systems and stakeholders.
Be an expert in AML and Sanctions systems and have knowledge of compliance programs, AML, Sanctions, and Money Transmitter Licensing and licensing globally

Python SQL Data Analysis Java API testing REST API Analytical Skills Compliance Reporting Cross-functional collaboration Risk Management Data visualization Data modeling Data analytics Data management

Posted about 8 hours ago

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🔥 Lead - Performance Marketing

Posted about 8 hours ago

📍 India

🔍 Software Testing

🏢 Company: external

🔧 Requirements

Minimum of 5+ years of experience managing Ad campaigns across major platforms such as Google Search, SA 360, DV360, Bing Search, Meta Ads, LinkedIn Ads, Twitter Ads, Display Ads, and Programmatic Ads.
Strong subject matter expertise in running Google Search Ads along with detailed understanding of all search metrics and reporting is a must.
Strong proficiency in Google Analytics, Google Tag Manager, Looker and conversion tracking tools.
Experience in B2B SaaS and developer marketing is highly desirable.
Exceptional analytical and problem-solving skills with the ability to interpret data and make data-driven decisions.
Strong copywriting skills with the ability to create persuasive and engaging ad content.

💡 Responsibilities

Develop, execute, and manage comprehensive advertisement strategies across all major paid marketing channels
Implement and manage conversion tracking systems to monitor key metrics.
Develop and refine B2B funnels via rapid experimentation
Continuously optimize campaigns to improve performance and achieve KPIs.
Collaborate with creative teams to craft compelling ad copy and visuals.
Stay up-to-date with the latest industry trends, emerging technologies, and competitive landscape to inform strategic decisions and keep our campaigns ahead of the curve.

SQL Data Analysis HTML CSS Javascript Google Analytics Communication Skills Analytical Skills SEO RESTful APIs Excellent communication skills Writing JSON Market Research Data visualization Marketing Lead Generation Digital Marketing Data modeling A/B testing

Posted about 8 hours ago

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🔥 Senior Director, Backend Engineering

Posted about 9 hours ago

📍 United States

🧭 Full-Time

🔍 E-commerce

🏢 Company: Birdy Grey👥 51-100💰 Seed over 5 years agoE-Commerce Wedding Fashion

🔧 Requirements

12+ years of engineering experience, with at least 5+ years in supply chain, logistics, or backend systems, including ERP integrations
Proven leadership experience managing distributed engineering teams, including offshore development teams in China.
Expert in cloud architecture and deployment, particularly within Google Cloud Platform (GCP).
Strong background in API development, microservices architecture, and enterprise system integrations.
Deep understanding of SQL, NoSQL, data lakes, and real-time streaming technologies.
Experience building and optimizing order management, warehouse management, and fulfillment systems.
Strong problem-solving skills, with the ability to navigate complexity and drive results.
Fluency in Mandarin and English, with the ability to lead technical discussions and collaboration between U.S. and China teams.

💡 Responsibilities

Develop and own the technical architecture for backend, supply chain, and fulfillment systems, ensuring seamless integration between ERP, OMS, WMS, MPS, and 3PLs.
Build and scale a high-performing engineering team, overseeing hiring, mentorship, and professional development.
Lead the development and deployment of API-based integrations that automate order flows, inventory updates, and logistics management.
Implement real-time monitoring, data validation, and anomaly detection to enhance system reliability and security.
Develop scalable microservices architecture to support high-volume SKU management and complex production workflows.
Oversee data engineering efforts, ensuring that all order, inventory, and logistics data is synchronized in real-time across platforms.
Collaborate with cross-functional stakeholders, including Product, Supply Chain, Ops, and Finance, to ensure technology aligns with business objectives.
Drive best practices in cloud infrastructure, focusing on Google Cloud Platform (GCP), Docker, Kubernetes, and CI/CD pipelines.
Develop technical roadmaps and strategy, aligning long-term engineering vision with business goals.

Backend Development Docker Leadership Project Management SQL Cloud Computing GCP Kubernetes People Management API testing Data engineering REST API CI/CD Microservices Team management Data modeling

Posted about 9 hours ago

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🔥 Senior Data Engineer (DataBricks)

Posted about 10 hours ago

📍 Lithuania

💸 4000.0 - 6000.0 EUR per month

🔍 Software Development

🏢 Company: Softeta

🔧 Requirements

4+ years of experience as a Data Engineer
Experience with Azure (Certifications are a Plus)
Experience with Databricks, Azure Data Lake, Data Factory and Apache Airflow
CI/CD or infrastructure as code
Knowledge of Medallion Architecture or Multihop architecture
Experience developing and administering ETL processes in the Cloud (Azure, AWS or GCP) environment
Strong programming skills in Python and SQL
Strong problem-solving and analytical skills

💡 Responsibilities

Design, develop, and maintain data pipelines and ETL processes
Data modeling, data cleansing
Automating data processing workflows using tools such as Airflow or other workflow management tools
Optimizing the performance of databases, including designing and implementing data structures and using indexes appropriately
Implement data quality and data governance processes
Being a data advocate and helping unlock business value by using data

Python SQL Apache Airflow ETL Azure Data engineering CI/CD Data modeling

Posted about 10 hours ago

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