The role involves designing, developing, and deploying data ingestion pipelines for the Quantexa platform, configuring Entity Resolution, and developing contextual monitoring scenarios to detect financial crimes like money laundering. Responsibilities also include optimizing detection scenarios, collaborating with compliance experts, and maintaining solution documentation.
Remote Analytics Engineer Jobs (269)
Search = Analytics Engineer
Senior Analytics Engineer – Product & Customer Analytics
HighLevel
·
Full Time
·
10 Weeks Ago
HighLevel
The role involves developing and maintaining production-grade dbt models to transform event and customer data into reusable dimensions and facts for in-app analytics surfaces. Responsibilities include implementing consistent transformations, maintaining dbt tests, and ensuring all models and metrics are well-documented and aligned with standards.
This role involves leading the modeling and semantic foundation of the Customer Data Platform by defining how product events become structured behavioral datasets. The Staff Analytics Engineer will partner with various teams to ensure behavioral data is reliable, well-modeled, and consistently defined across the company.
This senior individual contributor role is responsible for owning the end-to-end GTM data model, defining metrics, attribution logic, and analytical foundations to ensure predictable revenue performance. Key duties include designing scalable data structures, creating a semantic layer for consistent reporting, and building BI dashboards that influence GTM strategy.
The Lead Analytics Engineer will be responsible for designing, building, and maintaining complex dbt models, custom macros, and reusable packages while optimizing transformations and implementing robust testing strategies. This role involves owning and monitoring dbt workflow jobs, ensuring data accuracy through rigorous testing, and creating thorough documentation for BI team best practices.
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The role involves owning and maintaining the data infrastructure for revenue analytics, which includes designing and managing data warehouse structures, performance, and access controls. Key tasks also cover building and maintaining ETL/ELT pipelines from various revenue systems and structuring warehouse schemas to support analytics and reporting.
The Staff Analytics Engineer will be responsible for designing and implementing a formal analytics data layer using AWS Glue, Presto, and LookML, while collaborating across teams to define and maintain metric alignment. This role involves developing automated data quality checks, leading anomaly investigations, and providing technical mentorship to the data science and analytics team.
The role involves leading the definition and delivery of the Enterprise Logical Data Model and building scalable central business models focused on key areas like patient care and lead generation. The engineer will also champion technical excellence by serving as an expert for SQL and data modeling while driving the adoption of robust testing and data quality frameworks.
This role involves leading the analytics vision for unified revenue measurement across Netflix Ads, designing frameworks to harmonize and report on diverse revenue streams, including new content formats. The individual will act as the lead Semantic Architect, codifying agreed-upon definitions into semantic models and building scalable data models and dashboards for revenue insights.
The Data Analytics Engineer will execute a comprehensive data strategy aligned with company objectives, supporting the management of the full data domain including architecture, technology choices, and cost monitoring. This role ensures the data foundation is performant and scalable while enhancing analytics capabilities and driving the development of predictive models and data visualization tools.
The role involves partnering with business stakeholders to define KPIs and translate needs into technical plans, owning the full analytics workflow from raw data transformation in dbt to building dashboards in Sigma and presenting strategic findings. Responsibilities also include writing complex SQL, maintaining a single source of truth, and influencing key decisions through data-driven recommendations.
This role involves architecting and owning complex, multi-source data architecture, integrating diverse SaaS data streams into a scalable warehouse ecosystem using Snowflake. The engineer will proactively define metrics, build robust data models, and own complex SQL transformations to empower data-driven decisions across the business.
The Data Engineer will join the Self Service Analytics team to collaborate with analysts, translating business requirements into robust, scalable data models and services that support data-driven decisions across the company. This role involves modeling data as a product, shaping its structure in the data lake, and building/maintaining the data analytics platform including ingestion and validation.
The role involves leading the design and development of scalable data pipelines to support complex banking processes, ensuring the technical backbone accurately processes and reports on funds internally and to financial authorities. This includes building reliable operational data models for reporting, audits, and money movements, while collaborating closely with Banking, Operations, Tech, Security, and Finance teams.
The role involves designing, developing, and maintaining scalable data models, primarily using dbt, to power a Financial Risk Engine by integrating claims, contract, pricing, and utilization data within the Unified Data Warehouse (UDW). This engineer will also partner with finance and operations teams to translate complex financial structures into transparent, auditable data models and build curated data marts for self-service analysis.
The Analytics Engineer will define and own the implementation for analytics and reporting within the product, build and maintain dashboards, and develop custom analytics solutions for paying customers. This role will also involve partnering with Product to define and monitor KPIs and supporting Marketing and Customer Success with analytics needs.
You will build ETL/ELT pipelines that ingest, transform, and serve data at scale, and design warehouse schemas to make queries usable. You will also ensure reliable data flow from source systems to the analytics layer.
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The Senior Data & Analytics Engineer will lead the execution of data initiatives and manage a growing data team. They will ensure that analytics, pipelines, and insights scale with the business and influence product strategy and customer experience.
The Staff Analytics Engineer will design and implement a formal analytics data layer and collaborate with teams to ensure alignment on metrics. They will also lead investigations into data anomalies and mentor team members on best practices.
Costumer Journey Analytics Engineer
Cognizant Netcentric
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Full Time
·
20 Weeks Ago
Cognizant Netcentric
The Costumer Journey Analytics Engineer will implement and customize Adobe Launch configurations, ensuring robust data quality and effective tracking. They will also collaborate with cross-functional teams to deliver scalable solutions and support Customer Journey Analytics implementations.
The Security Analytics Engineer will own the end-to-end process of defining, building, and maintaining security metric dashboards while conducting in-depth analyses to surface trends and insights in vulnerability data. They will collaborate with security engineers and stakeholders to improve workflows and share expertise with the broader security community.
The Manufacturing Analytics Engineer will manage the entire analytics pipeline, transforming raw plant data into actionable insights. This role includes ensuring data reliability, governance, and scalability across various data platforms.
The Data Analytics Engineer analyzes complex customer data to determine integration needs and develops scalable data integration pipelines. They also collaborate with various teams to align solutions with business objectives and automate data validation processes.
The Analytics Engineer will enhance the security of operational technology environments by discovering and cataloging OT assets and collaborating with reverse engineers and developers. This role includes creating detection logic for real-time threat monitoring and troubleshooting internal configurations.
Analytics Engineer - Fluent English
LinkedIn Job Wrapping
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Full Time
·
22 Weeks Ago
LinkedIn Job Wrapping
You will join the Data & Consulting team to help clients improve their data strategy through advanced analytics. This includes leading analyses, collaborating with various teams, and developing data-driven solutions.
You will own the data ecosystem by building and maintaining robust data pipelines and ETL processes while ensuring data accessibility and reliability. Additionally, you will collaborate with cross-functional teams to translate business goals into technical requirements and support AI/ML initiatives.
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The Analytics Engineer will design, build, and maintain scalable data models to support various business needs. They will collaborate with different teams to ensure reliable data products and establish best practices for data quality and integrity.
The Senior Analytics Engineer will lead the architecture and governance of Thistle’s data infrastructure, ensuring scalability and reliability. They will also design and implement core data models and pipelines, driving data-informed decisions across the business.
Engage with stakeholders to understand internal systems for content distribution and lead the development of metrics and dashboards. Collaborate with cross-functional partners to deliver analytical solutions that impact decision-making.
As a Security Analytics Engineer, you will analyze security data and build insights to enhance vulnerability management. You will design metrics and analytics, develop dashboards, and provide actionable intelligence to strengthen security posture.
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