Senior Data Analyst Insights

Design and develop scalable data models for analytics.

Collaborate with data engineers on data pipelines.

Analyze complex product and user behavior data

Quantify impact and ROI of opportunities

Build and maintain backend services and APIs

Design and implement care data models

Own design, development, and reliability of core identity/platform services.

Architect backend services for onboarding, org management, and multi-user access.

Own data pipelines and automate financial workflows

Develop Snowflake data models for key financial metrics

Analyze product and user behavior data

Partner with Product to define success metrics

Analyze product and user behavior data to identify key metrics and trends

Collaborate with Product team to frame problems and define success metrics

Configure and maintain reliable data feeds into the platform

Design data transformations using Spark-based tools

Model and document new datasets for business units

Automate business metrics alignment

Architect and build core monetization systems for ChatGPT Ads.

Define source of truth for ads monetization data.

Building and evolving core production infrastructure

Designing scalable and reliable systems

Model and document new datasets

Automate business metrics

Architect and implement data pipelines

Integrate and normalize data sources

Model and document new datasets

Automate business metrics

Define and drive strategy for the Operating Account platform

Own end-to-end vision for accounts, money movement, treasury, liquidity, AP workflows

Lead the architecture, delivery, and adoption of a knowledge platform

Design and scale semantic and operational layers on a Databricks lakehouse

Lead Cortex onboarding and implementation for UK clients

Act as the main technical point of contact during implementations

Translate complex requirements into scalable data models

Design and develop dimensional models for analytics

Own and manage Bronze data layer with API ingestion and transformation.

Collaborate with Product and Engineering on Silver-layer modeling and governance.

Own parts of Contacts stack end-to-end

Evolve architecture to scalable, multi-tenant system

Developing scalable internal software and integrations

Collaborating with cross-functional teams

Drive design and implementation of performance management strategies

Develop and execute learning and talent development initiatives

Analyze data for trends and insights

Design dashboards using Looker/LookML

Build and maintain core data models for Greenhouse Recruiting and emerging lines

Establish global modeling standards using dbt for a single source of truth

Lead and manage a portfolio of SI/consulting partners for successful delivery

Provide architectural guidance on data modeling, IC logic, and reporting

Define and evolve enterprise data architecture

Establish dimensional modeling standards

Design and implement revenue KPI measurement approaches

Develop revenue forecasting models

Elicit requirements through interviews, workshops, surveys

Produce various artifacts such as requirements documents, use cases, data models

Develop front-end and back-end solutions with automated tests

Collaborate with product managers and engineers on high-impact projects

Design and implement robust data models for analytics

Collaborate with stakeholders to deliver data products

Own and manage core marketplace systems.

Improve reliability, performance, and observability.

Leading cross-team data pipelines for regulatory insights

Standardizing compliance and risk metric definitions

Lead design and implementation of shared data models and dimensions.

Standardize data engineering practices across teams.

Analyze data for decision support

Communicate data findings effectively

Contribute design and engineering expertise in a cross-functional team

Develop automation for scalable, high-quality apps

Build efficient backend solutions

Collaborate with cross-functional teams

Lead API product strategy, roadmap, and lifecycle

Design scalable RESTful APIs with security and compliance in mind

Design, build, and maintain scalable data models with SQL and dbt

Apply software engineering practices: versioning, testing, CI

Build and operate data pipelines on Google Cloud Platform.

Contribute to integrations with external marketing platforms.

Lead advanced data analysis and modeling for marketing data

Ensure data quality, enrichment, and governance

Build data and AI-powered internal tools for evaluating companies

Develop Meeting Prep Automation and Portfolio Benchmarking tools

Lead Salesforce administration and roadmap development

Partner with Growth team for requirement gathering

Manage product and tech requirements for a scalable platform

Collaborate with engineering teams and stakeholders

Manage and track promotional calendar and details effectively

Analyze and report on promotional performance and effectiveness

Build models and queries to transform data

Maintain and develop data pipeline architecture

Lead end-to-end post-trade analysis.

Translate complex business and regulatory needs into build-ready requirements.

Lead product and engineering teams

Identify data-driven opportunities

Design and maintain dashboards and reporting tools.

Enable decision-making through data-driven insights.

Architect and productionize data systems

Design and optimize data models

Lead and manage scalable data architectures and AI/ML systems

Oversee real-time data ingestion and distributed data platform operations