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Senior Data Analyst Remote Jobs in Raleigh, NC (NOW HIRING)

Cardinal Health

Data Analyst

Raleigh, NC · Remote

Works with complex datasets to perform exploratory data analysis to provide insights to make ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

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Korn Ferry

Senior Data Scientist

Raleigh, NC · Remote

Analyzing large datasets to identify patterns and trends that can inform AI development ... Remote Client Industry: Risk- Legal and Professional Reference ID: About Korn Ferry Korn Ferry ...

Spectraforce Technologies

Data Analyst

Raleigh, NC · Remote

Data Analyst Assignment Duration: 4-month, possible extension Hours: M-F 8am - 5pm EST or CST ... Remote Why is this role open? (Coverage, looking for perm, etc.) To complete an ongoing project ...

Cayuse Holdings

Data Analyst

Raleigh, NC · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

Sennos

Data Engineer

Durham, NC · On-site +1

$103.70K - $124.60K/yr

Working closely with senior data engineering leadership, data architecture, analytics engineering ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

Cardinal Health

Senior Data/AI Engineer

Raleigh, NC · Remote

$103K - $140K/yr

... data analytics capabilities. Location: This role is remote and can be based anywhere within the ... Job Summary The Senior Data/AI Engineer is a senior individual contributor on the Data & AI ...

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$53.5K

$96.5K

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How much do senior data analyst remote jobs pay per year?

As of May 28, 2026, the average yearly pay for senior data analyst remote in Raleigh, NC is $96,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,500.00 per year, depending on experience, location, and employer.

What is a Senior Data Analyst Remote job?

A Senior Data Analyst Remote job involves analyzing complex datasets to provide insights that drive business decisions, all while working from a remote location. Responsibilities typically include data modeling, visualization, and collaborating with cross-functional teams to optimize strategies. Senior analysts are expected to have advanced analytical skills, experience with SQL, Python, or R, and familiarity with business intelligence tools. They also help streamline data processes and ensure data accuracy for strategic planning. This role requires strong communication skills to present findings clearly to stakeholders.

What are the key skills and qualifications needed to thrive in the Senior Data Analyst Remote position, and why are they important?

To excel as a Senior Data Analyst Remote, you need advanced analytical skills, a solid background in statistics, and experience with large datasets, typically supported by a bachelor's or master's degree in a quantitative field. Expertise in SQL, Python or R, data visualization tools like Tableau or Power BI, and familiarity with cloud-based data platforms are commonly required, along with relevant certifications such as Google Data Analytics or Microsoft Certified Data Analyst. Excellent communication, problem-solving ability, and project management skills are highly valued in this remote role to ensure effective collaboration and stakeholder engagement. These competencies are essential for delivering actionable insights, driving business decisions, and thriving within distributed, cross-functional teams.

What are the typical challenges faced by Senior Data Analysts working remotely, and how can they be overcome?

Senior Data Analysts working remotely often face challenges related to effective cross-team communication, accessing data securely, and maintaining alignment with business goals. Proactively scheduling regular virtual check-ins, using collaborative project management tools, and ensuring access to up-to-date documentation can help bridge gaps and keep work on track. To overcome data access and security issues, it’s important to follow organizational protocols for secure connection to data sources and encrypted communication. Staying connected with stakeholders through clear, concise reporting also supports transparency and alignment. By embracing structured workflows and leveraging remote collaboration tools, remote Senior Data Analysts can stay productive and closely integrated with their teams.
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