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Remote Data Analytics Consultant Jobs (NOW HIRING)

Weidenhammer Systems Corp.

Data Analytics Consultant

PA · On-site +1

At Weidenhammer the Data Analytics Consultant role is engaged in architecture, consulting and development of Data Engineering and Business Intelligence solutions related to client projects. This role ...

Capitex

AML Analytics Consultant

New York, NY · On-site +1

Hybrid / Remote (Global Client Base) Engagement Type: Contract / Consultancy Duration: 6-12 months ... Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.

CAPITEX

AML Analytics Consultant

New York, NY · Remote

Hybrid / Remote (Global Client Base) Engagement Type: Contract / Consultancy Duration: 6-12 months ... Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.

CSAA

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

CSAA

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

CSAA

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

CSAA

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

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Remote Data Analytics Consultant information

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How much do remote data analytics consultant jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote data analytics consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a data analytics consultant, as skills in data analysis, programming, and tools like Python or SQL are more important. Many professionals successfully transition into data science or analytics roles at various ages by gaining relevant certifications and experience. Continuous learning and adapting to new technologies are key factors for career progression in this field.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. Data analysts will increasingly work alongside AI, focusing on higher-level analysis, storytelling, and decision support skills.

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Consultant, and why are they important?

To thrive as a Remote Data Analytics Consultant, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field such as statistics, computer science, or mathematics. Familiarity with tools like SQL, Python, R, Tableau, and cloud data platforms, as well as relevant certifications (e.g., Google Data Analytics Certificate), is highly beneficial. Strong problem-solving, communication, and self-management skills are essential for working independently and delivering actionable insights to clients. These skills and qualifications enable consultants to effectively interpret complex data and provide valuable solutions in a remote, client-focused environment.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries, often requiring skills in data visualization, SQL, and statistical analysis. Many companies offer remote work options, and candidates typically need a strong portfolio and relevant certifications to succeed in a remote environment.

How much does a data analyst earn remotely?

Remote data analysts typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Senior or specialized roles with advanced skills in tools like SQL, Python, or Tableau can command higher salaries, often exceeding $100,000 per year.

What does a Remote Data Analytics Consultant do?

A Remote Data Analytics Consultant helps organizations analyze and interpret complex data to inform business decisions, working from a location outside the client's physical office. They use statistical tools, data visualization, and data modeling techniques to uncover patterns, trends, and insights. Their responsibilities often include data gathering, cleaning, analysis, and presenting findings to stakeholders in a clear and actionable way. Remote consultants collaborate with teams virtually, providing expertise on projects ranging from business intelligence to predictive analytics, and may also advise on data strategy and best practices.

How do Remote Data Analytics Consultants typically collaborate with clients and internal teams while working off-site?

Remote Data Analytics Consultants often use a combination of video conferencing, collaborative dashboards, and project management tools to maintain close communication with clients and internal stakeholders. Regular virtual meetings are standard for discussing project goals, progress updates, and data insights. Effective consultants proactively share findings, respond to questions in a timely manner, and ensure data security protocols are followed when exchanging sensitive information. This collaborative approach helps bridge the distance and fosters strong, productive relationships across distributed teams.

What is the difference between Remote Data Analytics Consultant vs Remote Data Analyst?

AspectRemote Data Analytics ConsultantRemote Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentConsulting projects, client sites, remote teams, often project-basedIn-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareCorporations, finance, healthcare, retail

The main difference is that a Remote Data Analytics Consultant typically works on client projects, providing strategic insights and recommendations, while a Remote Data Analyst focuses on analyzing data to support internal business decisions. Both roles require similar skills and certifications but differ in work scope and environment.

More about Remote Data Analytics Consultant jobs
What cities are hiring for Remote Data Analytics Consultant jobs? Cities with the most Remote Data Analytics Consultant job openings:
What are the most commonly searched types of Data Analytics Consultant jobs? The most popular types of Data Analytics Consultant jobs are:
What states have the most Remote Data Analytics Consultant jobs? States with the most job openings for Remote Data Analytics Consultant jobs include:
What job categories do people searching Remote Data Analytics Consultant jobs look for? The top searched job categories for Remote Data Analytics Consultant jobs are:
Remote Data Analytics Consultant jobs near you
Infographic showing various Remote Data Analytics Consultant job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 2% Part Time, 1% Temporary, and 8% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.
Data Analytics Consultant

Data Analytics Consultant

Weidenhammer Systems Corp.

PA • On-site, Remote

Full-time

Posted 7 days ago

Job description

At Weidenhammer the Data Analytics Consultant role is engaged in architecture, consulting and development of Data Engineering and Business Intelligence solutions related to client projects. This role will also participate in activities that are directed at the overall growth of the Analytics and Data Estate Practice within Hammer Dev. This is a client facing role requiring excellent relationship management, communication, and solution architecture / development skills.
Essential Functions and Responsibilities
• Support solution decision-making as a trusted technical advisor.
• Design, implement, and deploy data platforms in public and private cloud environments.
• Guide clients on data strategy, governance, architecture, and quality management.
• Conduct customer workshops, discovery sessions, and presentations.
• Educate clients on modern technologies and their business value.
• Define processes and tools for data acquisition, storage, transformation, and analysis.
• Communicate solution and technology options and their business impact.
• Develop roadmaps and implementation strategies for data initiatives.
• Review and audit existing solutions and create architecture documentation.
• Discuss solutions with stakeholders from C-level to engineering teams.
• Function in various roles throughout the project lifecycle.
Assist in pre-sales activities and client presentations
Requirements
• Excellent analytical, verbal, written, and communication skills.
• Ability to communicate professionally with senior leadership in the role of project leader.
• Contribute to an engaging work environment.
• Provide technical expertise in business analytics, data integration, and visualization.
• Specialist knowledge in major relational and NoSQL-type data platforms.
• Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence.
• Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT.
• Ability to identify company requirements for data insights and warehousing.
• Comfortable working with various corporate stakeholders.
• Expert in architecting Data Lakes and modern data concepts.
• Experience with Row-Level Security.
• Experience leveraging Python and GenAI for development.
Nice to Have:
• Experience with big data technologies, Data Bricks, and Snowflake.
• Experience with Kimball, Bottom-Up, Top-Down, Inmon, and Data Vault concepts.
• Experience with Star & Snowflake.
• Experience with Azure Data Factories, SSIS, Azure Synapse Analytics and Azure Stream Analytics
Required Education and Experience
• B.S./M.S. in Computer Science, Software Engineering, or related discipline.
• Proven ability to develop and implement high-quality software solutions.
• Minimum 5 years of Microsoft data reporting, analytics, visualization, and integration experience.
• Minimum 5 years of data solution development experience.
• Vast knowledge of Microsoft technology stacks, including Azure and M365.
• At least one active Microsoft Fabric certification.

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