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Data modeling

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🔥 Staff Analyst, Servicing

Posted about 1 hour ago

📍 United States

💸 157000.0 - 217500.0 USD per year

🔍 Finance

🏢 Company: Upstart👥 1001-5000💰 $425,000,000 Post-IPO Debt 5 months ago🫂 Last layoff about 2 years agoCredit Automotive Artificial Intelligence (AI)Consumer Lending Lending Financial Services Personal Finance Machine Learning FinTech

🔧 Requirements

8+ years work experience in increasingly senior analytical roles in technology and finance industry
Strong background in credit, product, or operations analytics, with hands-on proficient in SQL, Python and/or R
Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode
Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success

💡 Responsibilities

Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.
Create regular executive level presentations to communicate findings and strategic recommendations
Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities.
Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights.
Develop and maintain business intelligence tools to support reporting and decision-making.
Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation

Python SQL Business Intelligence Data Analysis Tableau Analytical Skills Mentoring Data visualization Data modeling A/B testing

Posted about 1 hour ago

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🔥 Senior Machine Learning Engineer

Posted about 2 hours ago

📍 Brazil, the U.S., and Canada

🧭 Full-Time

🔍 Payments

🔧 Requirements

Bachelor’s or Master’s degree in CS/Engineering/Data-Science or other technical disciplines.
Solid experience in DS/ML engineering.
Proficiency in programming languages such as Python, Scala, or Java.
Hands-on experience in implementing batch and real-time streaming pipelines, using SQL and NoSQL database solutions
Familiarity with monitoring tools for data pipelines, streaming systems, and model performance.
Experience in AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.).
Experience with CI/CD pipelines, infrastructure-as-code tools (e.g., Terraform, CloudFormation), and MLOps platforms like MLflow.
Experience with Machine Learning modeling, notably tree-based and boosting models supervised learning for imbalanced target scenarios.
Experience with Online Inference, APIs, and services that respond under tight time constraints.
Proficiency in English.

💡 Responsibilities

Design the data-architecture flow for the efficient implementation of real-time model endpoints and/or batch solutions.
Engineer domain-specific features that can enhance model performance and robustness.
Build pipelines to deploy machine learning models in production with a focus on scalability and efficiency, and participate in and enforce the release management process for models and rules.
Implement systems to monitor model performance, endpoints/feature health, and other business metrics; Create model-retraining pipelines to boost performance, based on monitoring metrics; Model recalibration.
Design and implement scalable architectures to support real-time/batch solutions; Optimize algorithms and workflows for latency, throughput, and resource efficiency; Ensure systems adhere to company standards for reliability and security.
Conduct research and prototypes to explore novel approaches in ML engineering for addressing emerging risk/fraud patterns.
Partner with fraud analysts, risk managers, and product teams to translate business requirements into ML solutions.

AWS Backend Development Docker Python SQL Amazon RDS AWS EKS Frontend Development Java Kafka Kubernetes Machine Learning MLFlow Airflow Algorithms Data engineering Data science REST API Nosql Pandas Spark CI/CD Terraform Scala Data modeling English communication

Posted about 2 hours ago

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🔥 Marketing Operations Manager

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 105000.0 - 145000.0 USD per year

🔍 Democracy Reform

🏢 Company: GoodParty.org

🔧 Requirements

5+ years of experience in marketing operations, analytics, or revenue operations.
Expert in HubSpot with experience managing marketing automation tools.
Deep understanding of the most useful AI tools and a proven track record of leveraging them.
Strong analytical skills with experience tracking, analyzing, and interpreting marketing data.
Experience with lead scoring and attribution modeling, either from configuring a CRM from scratch or significantly improving an existing system.
Experience building dashboards with business intelligence tools (Tableau preferred, Power BI, Looker).
Strong attention to detail when building marketing automation, with experience documenting workflows and an intuitive understanding of system integration.
Excellent communication and collaboration skills, with the ability to work cross-functionally with Marketing, Sales, and Data Engineering.

💡 Responsibilities

Elevate our marketing reporting by building top-tier systems to track campaign performance and funnel health with precision.
Manage and maintain our HubSpot instance, serving as the primary owner of all marketing automation needs and data requests.
Analyze funnel performance to identify growth opportunities and areas where users encounter friction, ensuring strategic improvements.
Collaborate with our Data Engineers to establish and maintain reliable data pipelines across the company, enabling accurate and scalable reporting.
Build and maintain dashboards in Tableau to provide real-time visibility into marketing and sales performance.
Develop predictive lead scoring, qualification logic, and conditional list building to ensure sales focuses on the highest-opportunity leads.
Create and segment audiences for paid campaigns and direct outreach to candidates.
Continuously test and refine processes to improve scalability and effectiveness in marketing operations.
Collaborate on a fast, results-driven team.
Report to Director of Growth.

SQL Business Intelligence Data Analysis Google Analytics Tableau Data engineering Communication Skills Analytical Skills Collaboration Reporting Data visualization Marketing Lead Generation CRM Data modeling Data analytics Customer Success A/B testing

Posted about 2 hours ago

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🔥 Data Analyst/R Programmer

Posted about 2 hours ago

📍 United States

🧭 Part-Time

💸 45.0 - 50.0 USD per hour

🔍 Education

🏢 Company: PERTS👥 11-50 Education Video

🔧 Requirements

Track record of producing clean, modular, efficient code using the tidyverse and ggplot2 frameworks within R statistical software.
Expertise handling complex data cleaning tasks involving formatting, linking and analyzing irregular data from multiple sources.

💡 Responsibilities

Cleaning, linking, and aggregating student data from different sources using the dplyr and tidyr packages in R statistical software.
Analyzing student survey data collected via PERTS programs to help schools create excellent and equitable student experiences.
Creating meaningful graphics and visualizations of data for educators and other stakeholders using the ggplot2 framework.
Contributing to the maintenance, use, and design of the PERTS R codebase.

Data Analysis Data visualization Data modeling Data management

Posted about 2 hours ago

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🔥 Head of Revenue Operations

Posted about 3 hours ago

📍 United States

🧭 Full-Time

🔍 SaaS

🏢 Company: Forma👥 101-250💰 $40,000,000 Series B about 3 years agoEmployee Benefits Enterprise Software Wellness Health Care

🔧 Requirements

7+ years of experience in Enterprise SaaS RevOps
3+ years of people management experience
Experienced with sales and marketing functions in high-growth startups, and in teaming effectively with multiple revenue functions
Proficient across the Salesforce, forecasting tools, workflow infrastructure

💡 Responsibilities

Oversee and contribute to Enablement function — creating, delivering, and enforcing enablement programs for new initiatives
Support day-to-day operations of the sales org, responding to questions and triaging/prioritizing ad-hoc requests
Empower leaders, teams, and reps to self-serve into solutions
Partner with GTM leadership team to identify and launch net-new strategic initiatives each quarter in areas such as: territory quality, partnerships strategy, pipeline quality, customer journey evolution
Own and evolve the RevOps initiative roadmap — committing to execution on high-impact projects that move the needle on revenue growth
Owner of forecasting accuracy and operational rhythm
End-to-end owner GTM planning process across target setting, coverage model, team design, quota modeling and incentive plans, etc.
Accountable for quality and scalability of Salesforce data architecture and revenue reporting
Own monthly/quarterly commissions administration for our Sales team
Identify systems opportunities, propose new processes and capabilities
Support Deal Desk team in day-to-day operations, with a focus on increasing efficiency through standardization and automation
Ideate and evaluate hypotheses for improving outcomes across our revenue funnel
Continually demystify our prospect to customer journey — turning data-based insights into actionable learnings

Leadership SQL Data Analysis People Management Salesforce Business Operations Problem Solving Excellent communication skills Sales experience Strategic thinking Process improvement CRM Financial analysis Data modeling Data analytics Change Management

Posted about 3 hours ago

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🔥 Director, Data Science (REMOTE: US)

Posted about 3 hours ago

📍 United States

💸 228100.0 - 325800.0 USD per year

🔍 Software Development

🏢 Company: Veeam Software👥 5001-10000💰 $2,000,000,000 Secondary Market 4 months ago🫂 Last layoff about 1 year agoVirtualization Data Management Data Center Enterprise Software Software Cloud Infrastructure

🔧 Requirements

Extensive experience in Data Analytics, Business Intelligence, and Reporting, with a strong focus on statistical methods
Advanced expertise in AI and Machine Learning, including model development, deployment, and designing AI-driven solutions for business processes
Proficient in technologies like Python, R, and TensorFlow, with formal training in Data Science and hands-on experience in machine learning libraries and data visualization techniques
Expertise in SQL queries, Excel, PowerPoint, and SaaS systems like Salesforce
Strong analytical skills and experience in AI-driven solutions
Experience with cloud computing platforms such as AWS, Azure, and Google Cloud
Proven ability to lead AI projects and implement innovative technologies that drive business value
Strong problem-solving skills and ability to handle complex datasets to extract actionable insights
Effective communication skills to articulate complex analytical concepts to technical and non-technical stakeholders

💡 Responsibilities

Lead and mentor a team of data scientists in developing advanced machine learning models, dashboards, and visualizations for predictive analytics and decision-making
Conduct and supervise statistical analyses and experiment-driven predictive modeling to extract actionable business insights, leveraging cutting-edge machine learning algorithms
Present analytical findings and recommendations to stakeholders and leadership, utilizing AI for enhanced data interpretation and driving strategic decisions
Identify and leverage data opportunities with cross-functional teams through AI-powered data mining techniques and unstructured problem-solving
Lead the deployment of secure, scalable data science solutions using Python, R, SQL, and AI frameworks to address complex business challenges
Implement and monitor automated anomaly detection systems using machine learning to swiftly identify and address issues
Design comprehensive experiments to validate models, ensuring robust and reliable outcomes
Drive innovation by continuously exploring and integrating new AI technologies and methodologies
Optimize operational workflows using AI and machine learning techniques, enhancing efficiency and productivity
Develop and refine complex algorithms to solve unstructured problems, applying deep learning and other advanced techniques
Ensure robust data quality and integrity with AI-driven cleaning and validation procedures
Communicate complex analytical concepts in a clear and concise manner to stakeholders, fostering understanding and collaboration across teams

AWS Python SQL Cloud Computing Data Analysis Data Mining Machine Learning Numpy Cross-functional Team Leadership Algorithms Data science Pandas Tensorflow Data visualization Data modeling Data analytics SaaS PowerPoint

Posted about 3 hours ago

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🔥 Senior RevOps Manager

Posted about 4 hours ago

📍 Prague, Brno

🧭 Full-Time

🔍 Software Development

🏢 Company: Apify Technologies s.r.o.

🔧 Requirements

3+ years of experience in Revenue Operations leadership, with a proven track record in B2B SaaS or tech startup environments.
Deep expertise in CRM (e.g., HubSpot), including advanced configuration, custom integrations, and implementation of complex workflows.
Experience with a modern MarTech stack (e.g. Segment, Mixpanel).
Experience in designing and optimizing end-to-end revenue processes, spanning marketing, sales, and customer success functions to drive growth and efficiency.
Led cross-functional initiatives and have experience collaborating with C-level executives to align RevOps strategies with overall objectives.
Large-scale CRM clean-ups - auditing and streamlining legacy properties, implementing best practices, and creating system-wide efficiency.
Selecting, renewing, and implementing the right tools.
Defining and refining sales processes, from lead management to forecasting and quota setting.
Managing and mentoring less senior RevOps professionals - building a culture of continuous improvement and innovation.
Look ahead and adapt quickly, keeping on top of the latest trends and best practices in RevOps.

💡 Responsibilities

Conduct a significant cleanup of our CRM, remove unnecessary legacy properties, fix broken workflows, and create a streamlined, scalable system.
Improve key sales processes, from lead qualification to revenue forecasting.
Design and implement improved lead scoring and customer health metrics to drive engagement and conversions.
Assess our existing tech stack, recommend improvements, and manage renewals and implementation.
Work closely with Sales, Marketing, Customer Success, and the Data team to align RevOps with Apify’s goals.

Project Management Data Analysis Salesforce API testing Communication Skills Analytical Skills RESTful APIs Reporting Cross-functional collaboration Sales experience Data visualization Marketing Strategic thinking Process improvement CRM Data modeling Data analytics Data management Customer Success SaaS

Posted about 4 hours ago

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🔥 Software Engineer - Platform (Experienced)

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 190000.0 - 230000.0 USD per year

🔍 Software Development

🏢 Company: Dagster Labs👥 11-50💰 $33,000,000 Series B almost 2 years agoCloud Data Services Big Data Software

🔧 Requirements

5+ years of relevant software development experience
Expertise in the full software development lifecycle, from scoping and planning to delivery and iteration
Strong command of software system design, including scalability, third party integrations, and API design
Fluent in Python
Strong written and oral communication skills
Experience in a high-functioning engineering organization working on large-scale distributed systems or B2B SaaS applications
Proven effectiveness at contributing to and executing as part of a team
Experience with using or supporting tools in the Modern Data Stack
Experience building and scaling services built on Amazon Web Services, Kubernetes & Postgres

💡 Responsibilities

Develop and optimize core backend systems and infrastructure components.
Enhance efficiency, scalability, and stability of critical system resources through analysis and refinement.
Partner with cross-functional teams to align on product development needs and deliver impactful solutions.
Review designs and code to maintain high standards of quality and performance across the team.

AWS Backend Development Leadership PostgreSQL Python Software Development SQL Full Stack Development Kubernetes Software Architecture Algorithms API testing Data engineering Data Structures REST API Communication Skills Collaboration CI/CD Agile methodologies RESTful APIs Written communication Teamwork Data modeling Software Engineering

Posted about 4 hours ago

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🔥 Director of Product, Marketplace

Posted about 4 hours ago

📍 Canada

🧭 Full-Time

💸 203000.0 - 283000.0 CAD per year

🔍 Software tech

🔧 Requirements

10+ years of product management experience in the software tech industry
Track record of experimenting and successfully launching products at scale
Experience managing supply and demand of a two sided Marketplace
Solid technical chops that allow you to have in depth technical discussions and opinions
Outstanding written and verbal communication with a diverse stakeholder audience
Experience balancing time to market and rigor, striking the right balance between flexibility and consistency, and comfortable communicating priorities
An obsession for getting the details right, but also knowing how to ship on time
Comfortable in an ambiguous matrixed organization
Will collaborate with domestic and international technology teams.
Ability to identify product opportunities through data analysis, qualitative research, and field research.

💡 Responsibilities

Hold the quality bar high to ensure an efficient transfer of value between our end users, merchant/affiliate partners and Affirm
Demonstrate a strong familiarity for mobile and web development
Pair from opportunity identification through delivery with GTM teams inclusive of Sales, Partnerships and Product Marketing
Provide visibility into key workstreams and programs, inclusive of P&L details. Pipeline, roadmap, risks and upcoming trade-offs.
Work in a dynamic, fast-paced environment where ambiguity is a constant and exercise autonomy to drive product innovation and make strategic decisions. Wholly responsible for Quarterly, Bi-Annual, Annual, and Budget planning processes, inclusive of planning for partner planning processes.
Apply common decision-making frameworks to evaluate opportunities, trade-offs and risks
Identify new product opportunities and drive a comprehensive roadmap that’s informed by data analysis, qualitative research, and your own discovery.
Interact effectively with senior leaders both internally and externally, presenting insights and strategies that drive our company’s objectives.
Attract and develop a team of talented PMs across various stages of their career arc. Includes creating lanes for folks earlier in career as well as guiding managers.

Leadership Project Management SQL Agile Business Intelligence Data Analysis Product Management Cross-functional Team Leadership Product Development Strategy Product Analytics API testing Communication Skills Analytical Skills Collaboration Problem Solving RESTful APIs Written communication Sales experience Team management Stakeholder management Strategic thinking Financial analysis Data modeling Budget management

Posted about 4 hours ago

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🔥 Senior Data Analyst, GTM Finance

Posted about 5 hours ago

📍 Canada

💸 81000.0 - 101200.0 CAD per year

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

6+ years of experience in data analytics, with at least 2 years supporting GTM functions (i.e. Sales, Marketing, Operations)
Proven ability to analyze large datasets, draw meaningful insights, and translate findings into actionable recommendations
Comfortable working in a fast-paced, ambiguous environment with shifting priorities
Strong strategic thinking and problem-solving skills, with a proactive, self-directed mindset
Excellent communication skills, including experiencing presenting insights to executive leadership and cross-functional teams
Deep understanding of Salesforce and GTM metrics reporting
Advanced proficiency with Tableau, SQL, Looker, Excel, and Google Sheets

💡 Responsibilities

Own GTM Finance reporting and dashboarding to provide visibility into key performance metrics across the entire GTM organization (including Sales, Global Operations, Strategic Partnerships)
Analyze sales productivity, pipeline trends, win rates, and revenue tracking to support accurate forecasting and establish sales targets aligned with financial plans
Drive operational efficiency across the GTM Finance team by automating processes, optimizing dashboards, and streamlining recurring reporting
Partner cross-functionally with GTM teams and Finance to identify business drivers, uncover growth opportunities, and improve data accuracy
Develop reporting and metrics on Deal Desk activity to enhance operational efficiency
Deliver strategic insights to senior leaders through clear storytelling, turning complex data into actionable recommendations
Champion data quality and AI adoption by partnering with our GTM Strategy and Operations team, as well as our Business Intelligence team to ensure reliable, scalable reporting infrastructure
Adapt in a dynamic work environment and contribute to broader GTM Finance initiatives as needed

Python SQL Data Analysis Salesforce Tableau Communication Skills Data visualization Financial analysis Data modeling Data analytics

Posted about 5 hours ago

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