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

Trident Consulting

Senior Data Scientist

Raleigh, NC · Hybrid

$80/hr

Senior Data Scientist Location : Carmel, IN (Onsite) Pay Rate : $80/hr W2 Type: Contract(W2) Job ... & analytics, cloud, cybersecurity, finance & accounting, HR, operations, and more. With a strong ...

New

Accenture

Data Protection Sr. Analyst

Raleigh, NC · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Performs independent and complex technical and functional analysis for multiple projects supporting ... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Performs independent and complex technical and functional analysis for multiple projects supporting ... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ...

Teachercool

MDM Data Analyst

Raleigh, NC

... senior leadership review * Translate complex data concepts into clearly structured, digestible ... Proficiency in data profiling, analysis, and interpretation of large, complex datasets * Experience ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

... analysis, and tech data support of QE teams. The Expertise and Skills You Bring * Bachelor's or ... As part of the Test Data Management team, the Senior Data Engineer plays a pivotal role in ...

IT Automation LLC

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

The data analyst will be responsible for analyzing large data sets, creating visualizations, and generating reports that support data-driven decision making. You will need to be able to create ...

IT Automation LLC

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

The data analyst will be responsible for analyzing large data sets, creating visualizations, and generating reports that support data-driven decision making. You will need to be able to create ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Raleigh, NC

Senior Data Analyst information

See Raleigh, NC salary details

$53.5K

$96.5K

$131.7K

How much do senior data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for senior data analyst 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.

Are you a senior at 55?

Age does not determine whether someone can be a senior data analyst; experience, skills, and qualifications are the primary factors. Many professionals continue to work in data analysis roles well into their 50s and beyond, often bringing valuable industry knowledge. Employers typically focus on relevant expertise, certifications, and ability to perform the job rather than age.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What should a 70 year old be doing every day at home?

A senior data analyst at 70 can engage in daily activities that promote mental and physical well-being, such as reading, light exercise, and hobbies. Staying socially connected and maintaining a routine can support overall health and cognitive function, which are important for continued productivity and engagement at any age.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

How often should a 75 year old woman take a shower?

A senior data analyst role does not influence personal hygiene routines; generally, a 75-year-old woman should shower as needed for cleanliness, typically every 1-3 days, depending on personal health, activity level, and skin condition. Regular bathing helps maintain hygiene and skin health, but frequency can vary based on individual preferences and medical advice.

In what grade is senior?

The term 'senior' in the job title Senior Data Analyst typically indicates a higher level of experience and responsibility within the role, often requiring several years of relevant work experience and advanced skills in data analysis tools like SQL, Python, or R. It does not correspond to a specific grade or educational level but reflects a seniority level in the professional hierarchy.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Raleigh, NC? The most popular types of Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Senior Data Analyst jobs in Raleigh, NC? For Senior Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Senior Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Data Analyst jobs? Cities near Raleigh, NC with the most Senior Data Analyst job openings:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 66% Full Time, 7% Part Time, and 27% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $96,460 per year, or $46.4 per hour.
Senior Data Scientist

Senior Data Scientist

Trident Consulting

Raleigh, NC • Hybrid

$80/hr

Other

Posted 17 hours ago

Job description

Trident Consulting is seeking a "Senior Data Scientist" for one of our clients. A global leader in business and technology services.


Role : Senior Data Scientist

Location : Carmel, IN (Onsite)

Pay Rate : $80/hr W2

Type: Contract(W2)


Job Summary:

The Senior Data Scientist will coordinate complex cloud and artificial intelligence initiatives that leverage large language models and advanced machine learning within a hybrid work model. The role will orchestrate projects across AWS, GCP, or Azure environments, ensuring reliable Python based solutions that apply frameworks such as Keras, spaCy, and PyTorch to deliver measurable value for clients and communities.


Required Skills:

Python, PyTorch, Machine Learning, Prompt Engineering, Large Language Models, AWS / GCP / Azure Cloud


Responsibilities:

Develop and implement LLM based applications tailored for in house legal needs, ensuring they align with clients commitment to excellence and innovation Evaluate and maintain our data assets and training evaluation datasets, ensuring they meet the highest standards of integrity and quality. Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer centric mindset. Collaborate with legal experts to understand requirements and ensure models meet domain specific needs, working as one team. Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables. Evaluate AI ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives. Interface with other technical personnel or team members to finalize requirements, demonstrating ownership of outcomes. Work closely with other development team members to understand complex product requirements and translate them into software designs, ensuring ethical choices in all actions. Successfully implement development processes, coding best practices, and code reviews for production environments, embodying Cognizant s values in every task. Strong hands on experience and foundations in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT. Practical experience with large language models, prompt engineering, fine tuning, and benchmarking using frameworks such as LangChain and LlamaIndex. Strong Python background. Knowledge of AWS, GCP, Azure, or other cloud platforms. Understanding of data modelling principles and complex data models. Proficiency with relational and NoSQL databases as well as vector stores e.g Postgres, Elasticsearch OpenSearch, ChromaDB. Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred. Knowledge of API development, containerization, and machine learning deployment is highly preferred. Experience with ML Ops AI Ops is highly preferred. nal environments where programs span different regions, cultures, and regulatory contexts within a day shift structure


Years of Experience: 8.00 Years of Experience


About Trident Consulting

Trident Consulting is an award-winning staffing and consulting firm headquartered in San Ramon, CA. Since 2005, we’ve partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services.


We specialize in contract, contract-to-hire, and direct hire placements, supporting roles across IT, data & analytics, cloud, cybersecurity, finance & accounting, HR, operations, and more. With a strong focus on hard-to-fill and niche positions, our global recruiting engine enables us to deliver speed, quality, and scale.

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About Trident Consulting

Sourced by ZipRecruiter

Trident Consulting is a certified 100% woman- and minority-owned staffing company, incorporated in 2005. Some of our achievements include making it to the Inc. 5000 list and Bay Area's list of Top 100 fastest growing companies.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Dublin, CA, US

Year founded

2005

Social media

Twitter

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