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

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Raleigh, NC

Remote Data Analyst Python information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 9, 2026, the average yearly pay for remote data analyst python in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is the salary of Python 2 years experience?

A remote data analyst with two years of Python experience typically earns between $60,000 and $80,000 annually, depending on location, industry, and skill level. Proficiency in data manipulation, visualization, and relevant tools like Pandas or SQL can influence salary ranges.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analyst positions.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a remote data analyst with skills in Python and data visualization remains valuable, as AI complements human expertise rather than replacing it entirely.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science; many professionals start or switch careers later in life. Success depends on acquiring relevant skills such as Python, SQL, and machine learning, along with practical experience and certifications. Employers value diverse backgrounds and experience, making 40 a reasonable age to pursue a data science career if you build your skills and portfolio.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (Python), and why are they important?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What are popular job titles related to Remote Data Analyst Python jobs in Raleigh, NC? For Remote Data Analyst Python jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Python jobs in Raleigh, NC look for? The top searched job categories for Remote Data Analyst Python jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Analyst Python jobs? Cities near Raleigh, NC with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python jobs near you
Infographic showing various Remote Data Analyst Python job openings in Raleigh, NC as of July 2026, with employment types broken down into 66% Full Time, 11% Part Time, 6% Temporary, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Data Analytics & Observability/ Site Reliability Engineer

Data Analytics & Observability/ Site Reliability Engineer

CYNET SYSTEMS

Cary, NC • Remote

$58.25 - $77.50/hr

Contractor

Posted 9 days ago

Job description

Job Overview:

We are seeking a highly skilled Site Reliability Engineer (SRE) with a strong focus on Data Analytics, Observability, and Reporting to support and enhance enterprise production systems. This role combines SRE principles with deep expertise in Dynatrace, Client , Power BI, and Snowflake, along with strong knowledge of Oracle and MS SQL Server, to drive system reliability, performance optimization, and proactive incident management.

Requirement/Must Have:

  • Bachelor’s degree or equivalent experience.
  • 5+ years in SRE, DevOps, or Production Support.

Responsibilities:

  • Apply SRE principles (SLIs, SLOs, error budgets) to improve system reliability.
  • Implement proactive monitoring, alerting, and self-healing capabilities.
  • Lead incident response, RCA, and postmortems.
  • Drive continuous improvement in availability, scalability, and resilience.
  • Design and deliver operational dashboards and reports using Power BI.
  • Leverage Client and Dynatrace to analyze logs, metrics, and traces.
  • Correlate data across platforms to identify trends, anomalies, and risk patterns.
  • Use Snowflake, Oracle, and MS SQL Server SQL to query, transform, and analyze operational datasets.
  • Build data models and curated datasets to support reporting and analytics.
  • Translate operational data into actionable insights for engineering and leadership.
  • Administer and optimize Dynatrace (APM, Grail, DQL, synthetic monitoring).
  • Create alerting strategies aligned to SLOs and business priorities.
  • Integrate observability tools with enterprise reporting and ITSM systems.
  • Develop and maintain Power BI dashboards, reports, and semantic models.
  • Integrate Power BI with Snowflake, Oracle, MS SQL Server, Client , and operational data sources.
  • Optimize query performance, data refresh, and dataset design.
  • Implement row-level security and governance controls.
  • Support enterprise reporting standards and governance.
  • Write and optimize SQL across Snowflake, Oracle, and MS SQL Server.
  • Perform cross-platform data analysis and reconciliation.
  • Support data modeling (views, marts, transformations) for analytics.
  • Troubleshoot data performance issues across heterogeneous platforms.
  • Partner with data engineering teams to improve data quality, lineage, and availability.
  • Develop automation using PowerShell (primary), Python, or REST APIs.
  • Build automation workflows for monitoring enhancements, incident enrichment, and data extraction.
  • Create self-service tooling for operations teams.
  • Integrate automation with ServiceNow, schedulers, and observability tools.
  • Integrate monitoring with ServiceNow (incident, event, change management).
  • Automate ticket creation, enrichment, and routing workflows.
  • Ensure alignment with ITIL best practices.
  • Support and optimize Managed File Transfer (MFT) platforms.
  • Monitor and troubleshoot file transfer failures, protocol issues, and throughput.
  • Manage and support enterprise schedulers: Control-M, Stonebranch, Redwood.
  • Analyze batch workflows, dependencies, and SLA adherence.

Nice to Have:

  • Experience integrating Power BI with Snowflake, Oracle, and SQL Server.
  • Strong understanding of cross-platform data architecture and ETL/ELT patterns.
  • Familiarity with Dynatrace Davis AI and automation workflows.
  • Advanced Client data modeling and ingestion optimization.
  • Exposure to Chaos Engineering (e.g., Gremlin).

Skills:

  • Strong knowledge of SRE principles and reliability engineering practices.
  • Hands-on experience with Dynatrace (APM, DQL, observability).
  • Experience with Client (search, SPL, dashboards).
  • Experience with Power BI (data modeling, DAX, performance tuning).
  • Experience with SQL across multiple platforms: Snowflake, Oracle, MS SQL Server.
  • PowerShell automation and scripting.
  • ServiceNow integration.
  • Knowledge of cloud and hybrid architectures.

Qualification And Education:

  • Certifications: Dynatrace, Client , Snowflake, Microsoft (Power BI / SQL Server), Oracle, ITIL.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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