Remote Data Analyst Jobs

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🔥 Analytics Engineer

Posted about 5 hours ago

📍 GBR

💸 38600.0 - 55267.0 GBP per year

🏢 Company: wiley_careers

🔧 Requirements

Extensive experience with SQL, understanding of advanced procedures and optimization of queries, experience working with large sets of data within relational databases. (Snowflake/BigQuery preferred)
Experience working with marketing data use cases. Specifically around audience creation, user data augmentation and advanced reporting.
An ability to identify quickly the commercial value in data, experience of having delivered return on time investment through development of data assets at scale.
Able to collaborate and share ideas with non-technical colleagues, explaining complex solutions in as simple as possible way to ensure collective understanding.

💡 Responsibilities

Enhancing Marketing Insights: Leverage creative and technical skills to transform business data into valuable marketing assets, thereby enhancing the depth and quality of our marketing insights.
Collaborative Data Curation: Collaborate with technical data colleagues to curate and maintain sources of marketing insight and audience lists, ensuring that our data assets are well-managed and up-to-date.
Campaign Capability Enhancement: Contribute to projects aimed at improving our campaign capabilities, enabling more effective and targeted marketing strategies that drive business growth.
Data Governance and Transparency: Adhere rigorously to data governance and transparency requirements, ensuring the ethical and compliant use of data while building trust with customers and stakeholders.
Continuous Improvement: Actively seek opportunities to innovate and make Wiley's marketing data assets among the best in the industry, contributing to the company's ongoing success in the field.

SQL Data Analysis Snowflake Marketing Data modeling Data analytics

Posted about 5 hours ago

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🔥 Principal Data Scientist - Pharma Media

Posted about 5 hours ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50 Digital Marketing Advertising Digital Media Consulting

🔧 Requirements

Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
5+ years of analytics experience
Minimum of 4 years’ hands-on experience in machine learning and relational databases.
Proficient in data manipulation using SQL, Python, and/or similar programming languages.
Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
Strong project-management skills managing cross-functional workflows.
Proven ability to build and maintain client relationships.

💡 Responsibilities

Mentor data scientists, fostering collaboration and professional growth.
Develop and execute a data-science strategy aligned with company objectives.
Design, implement, and optimize predictive models and machine-learning algorithms.
Partner with software engineers, product managers, and business units to deliver client-facing solutions.
Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
Manage model lifecycle: design, training, evaluation, validation, and deployment.
Translate complex analytical results into clear business recommendations and compelling visualizations.
Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
Analyze digital trends, user behavior, and product performance.
Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
Support measurement strategies, including learning agendas, test plans, and frameworks.
Collaborate regularly with stakeholders to address digital data needs and challenges.
Educate research and business teams on data-best practices and infrastructure.

Python SQL Data Analysis Machine Learning Snowflake Algorithms Data science Data visualization Data modeling

Posted about 5 hours ago

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🔥 Senior Revenue Operations Manager

Posted about 7 hours ago

📍 United States

💸 125000.0 - 185000.0 USD per year

🔍 SaaS

🔧 Requirements

7+ years of related Rev Ops/Sales Ops experience working within a high-growth SaaS company
Salesforce experience, particularly with accounts, opportunities, and contacts
High-proficiency with Excel/Google sheets including the ability to pull and organize data and build analysis via pivots and models
Experience with development of BI tool dashboards (e.g., Thoughtspot, Tableau)
Able to adopt existing processes, refine processes, and build processes from scratch

💡 Responsibilities

Operate as the strategic partner to Clari’s Enterprise revenue teams
Deliver proactive data and metrics via multiple platforms to provide actionable insights to the Customer Success team and leadership. They will keep a keen eye on CSAT, Customer Health, Usage, Adoption, Retention, and customer engagement
Assist in the technology stack architecture to connect various data sources and expose key insights to the team
Leverage data from within a diverse set of tools including SFDC, Pendo, Snowflake, etc. to architect a clean and connected flow of information between various tools
Partner with our Analytics and Data Engineering teams to improve the revenue team’s usage of Customer Data. Refine, enhance, and build metrics supporting customer targeting
Partner with our Customer Success and Sales Engineering Program Managers to implement, measure, and enhance new programs and initiatives
Assist in FY Planning efforts including territory creation and balancing, budgeting and hiring plans, quota setting, and resource planning

Business Intelligence Salesforce Snowflake Tableau Microsoft Excel Data visualization Data modeling Data analytics

Posted about 7 hours ago

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🔥 Operations Engineer

Posted about 8 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Arrived👥 1-50

🔧 Requirements

Software engineering background with strong programming skills in Python, SQL, and modern development practices
Experience building and maintaining production data systems, APIs, or backend services
Hands-on experience with data pipeline tools (dbt, Fivetran, or similar)
Strong SQL skills and experience with data warehouses (Snowflake)

💡 Responsibilities

Build production data systems – design and implement scalable data pipelines, ETL processes, and APIs that handle structured and unstructured data from multiple sources
Develop internal applications – write maintainable code for internal tools, automation services, and integrations
Own system architecture – make technical decisions about data flow, system design, and technology stack choices that balance immediate needs with long-term scalability

AWS Backend Development Project Management Python SQL ETL Snowflake Algorithms API testing Data engineering Data Structures REST API Communication Skills CI/CD RESTful APIs DevOps Data visualization Data modeling Software Engineering Data analytics Data management

Posted about 8 hours ago

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🔥 Manager, Analytics

Posted about 8 hours ago

📍 Australia

🔍 Software Development

🏢 Company: Avetta, LLC

🔧 Requirements

Deep expertise in SQL, including writing complex queries and performance tuning.
Extensive hands-on experience with multiple reporting and BI tools such as Jasper Server, MicroStrategy, Sisense, SQL Server Reporting Services (SSRS), Power BI etc .
Extensive hands-on experience with multiple database platforms such as MySQL, Postgresql, Snowflake.
3+ years in a BI/Analytics management or senior/lead BI developer role within a software development company.
Experience architecting and supporting distributed BI systems/cloud analytics solutions.
Strong understanding of data warehousing principles, data modeling (star/snowflake schemas), and data governance.
Proven success managing multiple projects with Agile methodologies, especially involving large data sets and complex reporting requirements.
Excellent interpersonal and communication skills, with a demonstrated ability to translate technical work into business value for non-technical audiences.

💡 Responsibilities

Lead, mentor, and develop a team of BI and analytics professionals, including guidance on best practices for data modeling, ETL, and reporting.
Collaborate with product managers, business units, and stakeholders to gather and clarify BI requirements and to translate them into scalable technical solutions.
Architect, enhance, and support data warehouses and analytic data marts, primarily utilizing Jasper Server, Power BI and Snowflake.
Oversee the design, implementation, and optimization of ETL processes to ensure the accuracy and timeliness of data integrations from multiple sources.
Ensure projects are tracked in JIRA, with thorough code reviews, data quality checks, and UAT/testing prior to deployment.
Facilitate Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives for the BI and Analytics team.
Drive continuous improvement in BI processes, adoption of new tools/technologies, and foster a culture of data quality and governance.
Troubleshoot and resolve data issues, working with engineering and business teams as needed to remove blockers.
Ensure smooth collaboration with engineering, infrastructure, and business analysts to provide actionable BI solutions across teams.

Leadership PostgreSQL SQL Agile Business Intelligence ETL MySQL Snowflake Communication Skills Problem Solving Data visualization Data modeling Data analytics

Posted about 8 hours ago

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🔥 Senior Analytics Engineer

Posted about 8 hours ago

📍 United States

🧭 Full-Time

💸 150000.0 - 200000.0 USD per year

🔍 Energy

🏢 Company: Arcadia👥 501-1000💰 $125,000,000 over 2 years agoDatabase CleanTech Renewable Energy Clean Energy Software

🔧 Requirements

4+ years as an Analytics Engineer or equivalent role; experience with dbt is strongly preferred
6+ years, cumulatively, in the data space (data engineering, data science, analytics, or similar)
Expert-level understanding of conceptual data modeling and data mart design
An understanding of data structures and/or database design plus deep experience with SQL and Python
Experience building data pipelines and database management including Snowflake or similar
Ability to bring a customer-oriented and empathetic approach to understanding how data is used to drive the business
Experience in technical leadership or mentorship
Strong communication and collaboration skills
Proven ability to solve complex problems in a dynamic and evolving environment

💡 Responsibilities

Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users
Collaborate with subject matter experts, engineers, and product managers to identify the most elegant and effective data structures to understand our constantly growing and evolving business
Help bring engineering best practices (reliability, modularity, test coverage, documentation) to our DAG and to our Data team generally
Collaborate with data engineers to build robust, tested, scalable ELT pipelines.
Data modeling: model raw data into clean, tested, and reusable datasets to represent our key business data concepts. Define the rules and requirements for the formats and attributes of data
Data transformation: build our data lakehouse by transforming raw data into meaningful, useful data elements through joining, filtering, and aggregating source dataData documentation: create and maintain data documentation including data definitions and understandable data descriptions to enable broad-scale understanding of the use of data
Employ software engineering best practices to write code and coach analysts and data scientists to do the same

AWS Python SQL Data Analysis ETL Git Snowflake Data engineering Data Structures Communication Skills Analytical Skills Collaboration Data visualization Data modeling Data management

Posted about 8 hours ago

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🔥 Data Platform Engineer

Posted about 10 hours ago

📍 United States

🧭 Full-Time

💸 180000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: Prepared👥 51-100💰 $27,000,000 Series B 8 months agoEnterprise Software Public Safety

🔧 Requirements

5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills
Ability to work independently and take initiative
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes)

💡 Responsibilities

Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics

AWS Docker PostgreSQL Python SQL Apache Airflow ETL Kubernetes Snowflake Apache Kafka Data engineering Spark Scala Data modeling

Posted about 10 hours ago

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🔥 Senior Technical Program Manager

Posted about 11 hours ago

📍 Ontario Canada, British Columbia Canada

🧭 Full-Time

💸 104200.0 - 130200.0 CAD per year

🔍 Software Development

🏢 Company: Marqeta👥 1001-5000💰 Post-IPO Equity almost 4 years ago🫂 Last layoff about 2 years agoCryptocurrency Debit Cards Credit Cards Payments FinTech

🔧 Requirements

5+ years experience managing technical programs or projects involving the engineering, delivery, and operations of online services
Proficient in agile software development practices
Familiarity with modern cloud-based services technologies
Understanding of modern SSDLC (Secure Software Development Life Cycle) practices including OWASP top 10 defense
Knowledge of fundamental modern practices for ongoing delivery of high-availability online services

💡 Responsibilities

Provide excellent technical program management driving a portfolio of technical programs and projects to deliver and evolve Marqeta’s online services
Develop and leverage strong partnerships for transformation while remaining agile to respond to changing business needs
Proactively work with key stakeholders to identify the highest priority Initiatives
Define and execute communication plans to report each program across multiple stakeholders in Marqeta including executive-ready reporting
Manage risks, schedules, and blockers, facilitating problem-solving for the team
Validate assumptions, define success metrics, and use data to drive strategic improvements
Suggest improvements to TPM standards to enhance PMO service quality
Use scrum and agile practices to boost initiative delivery across engineering teams

AWS Leadership Project Management Software Development Agile Cloud Computing Cybersecurity Data Analysis Kafka SCRUM Snowflake Cross-functional Team Leadership Airflow Azure Data engineering Communication Skills Analytical Skills CI/CD Problem Solving Agile methodologies RESTful APIs Linux DevOps Compliance Excellent communication skills Risk Management Stakeholder management Change Management

Posted about 11 hours ago

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🔥 Data Analyst

Posted about 14 hours ago

📍 United States

🧭 Full-Time

🔍 Data & Finance

🏢 Company: AirGarage👥 11-50💰 $1,000 7 months agoInternet Transportation Online Portals Payments Parking Real Estate Software

🔧 Requirements

5–8 years of experience in an analyst or business intelligence role, ideally in a fast-paced, cross-functional environment.
Strong SQL skills and comfort working with cloud data warehouses like Snowflake.
Experience building dashboards and reports in tools like Sigma, Tableau, Looker, or equivalent BI platforms.
Familiarity with a modern data stack: we use Snowflake, dbt, Polytomic, and Sigma.
Great communication skills - you can explain technical concepts to business stakeholders and frame insights with business context.
High ownership mindset - you’re proactive, curious, and driven to make a meaningful impact, even when the path isn’t perfectly clear.

💡 Responsibilities

Collaborate with stakeholders to understand their goals, surface the right metrics, and deliver insights that drive decision-making.
Build and maintain dashboards and reports in tools like Sigma and Snowflake to help teams monitor performance, uncover trends, and identify opportunities.
Use SQL and Snowflake to dig into data, perform analyses, and support strategic initiatives across the company.
Leverage Polytomic and dbt to streamline data flows and improve access to clean, reliable data for business users.
Act as a consultative partner - you’ll be embedded in different projects across functions, but stay connected to the centralized data team for best practices and shared context.
Drive your own projects end-to-end: identifying needs, exploring data, communicating findings, and supporting implementation.
Create scalable tools and templates so teams can self-serve more easily and reduce ad-hoc bottlenecks.

SQL Data Analysis ETL Snowflake Communication Skills Analytical Skills Data visualization Data modeling

Posted about 14 hours ago

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🔥 Marketing Data Analyst

Posted about 19 hours ago

📍 Latin America

🧭 Full-Time

🏢 Company: Outliant

🔧 Requirements

5+ years of experience in data analysis, with a strong focus on marketing and DTC environments.
Proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
Strong analytical and statistical skills, including experience with attribution modeling and cohort analysis.
Skilled in using data visualization tools like Looker Studio, Tableau, or similar.
Experience with ad platforms (e.g., Meta, Google Ads, TikTok) and customer data platforms (e.g., Segment, Amperity).
Excellent communication skills with the ability to present insights to both technical and non-technical audiences.
Detail-oriented, self-driven, and comfortable working in a fast-paced, collaborative environment.

💡 Responsibilities

Collect, clean, and analyze large datasets from marketing, eCommerce, CRM, and CDP platforms (e.g., Segment, Meta, Google Ads).
Integrate cross-channel data within cloud data warehouses (e.g., Snowflake, BigQuery) to support scalable, reliable reporting.
Build and maintain dashboards and reports using BI tools like Looker Studio or Tableau to visualize key metrics (CAC, ROAS, LTV, retention, etc.).
Develop attribution models to measure marketing effectiveness across the customer journey.
Conduct statistical and behavioral analysis to identify trends, patterns, and optimization opportunities.
Partner with stakeholders to define KPIs, support testing strategies, and align insights with business goals.
Ensure data quality and resolve discrepancies across platforms and systems.
Stay current on analytics tools, data privacy standards, and emerging marketing measurement techniques.

SQL Data Analysis Snowflake Tableau Analytical Skills Reporting Data visualization Marketing CRM Data modeling Data analytics Data management A/B testing

Posted about 19 hours ago

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Remote Data Analyst Jobs

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Analysts help businesses make smart decisions based on data. Their responsibilities include:

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