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Full Time Remote Work Jobs in Raleigh, NC (NOW HIRING)

Hitachi

Service Project Manager

Raleigh, NC · On-site +1

Project/Program Management Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we ... You will work closely with our Global Execution Centers, manage remote work crews, and ensure that ...

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Full Time Remote Work information

What is the difference between Full Time Remote Work vs Part Time Remote Work?

AspectFull Time Remote WorkPart Time Remote Work
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsOften requires full-time employment credentialsMay require similar credentials but with flexible scheduling
Work EnvironmentDedicated remote setup, consistent scheduleFlexible hours, may combine with other commitments
Employer UsageCommon in full-time roles across industriesUsed for part-time roles, freelance, or gig work

Full Time Remote Work involves working standard full-time hours from a remote location, providing stability and benefits. Part Time Remote Work offers flexible hours with fewer weekly hours, suitable for those balancing other commitments. Both options allow remote work but differ mainly in hours and commitment level.

What is full-time remote work?

Full-time remote work refers to a job arrangement where an employee works the standard number of weekly hours, typically 35-40, but does so entirely from a location outside the employer's physical office—usually from home. This setup uses digital tools and internet connectivity to collaborate, communicate, and complete work tasks. Full-time remote positions can be found across many industries, including technology, customer service, writing, and more. This work style offers flexibility but also requires self-discipline and strong communication skills.

What are some effective strategies for staying productive and maintaining work-life balance in a full-time remote position?

Working full-time remotely can offer flexibility, but it also presents challenges such as setting boundaries between work and personal life and minimizing distractions at home. To stay productive, it's helpful to establish a dedicated workspace, create a consistent daily routine, and set clear start and end times for your workday. Regular communication with your team through video calls or chat platforms can help you stay connected and aligned on goals. Taking scheduled breaks and prioritizing self-care are also important for maintaining a healthy work-life balance.

What are the key skills and qualifications needed to thrive in full-time remote work, and why are they important?

To thrive in full-time remote work, you need strong self-motivation, time management, and digital communication skills, often supported by prior remote or hybrid work experience. Familiarity with collaboration tools like Slack, Zoom, and project management software such as Trello or Asana is typically required. Standout remote workers excel in adaptability, proactive problem-solving, and maintaining accountability without direct supervision. These skills and qualities are essential for maintaining productivity, fostering team cohesion, and meeting goals while working independently from any location.
What are the most commonly searched types of Remote Work jobs in Raleigh, NC? The most popular types of Remote Work jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Remote Work jobs? Cities near Raleigh, NC with the most Full Time Remote Work job openings:
Full Time Remote Work jobs near you
Data Analytics Business Analyst (Full-Time Remote, North Carolina)

Data Analytics Business Analyst (Full-Time Remote, North Carolina)

Alliance

Morrisville, NC • On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Elicit and Document Analytics Requirements
  • Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs
  • Capture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows)
  • Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomes
  • Analyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields
  • Conduct gap analysis to identify missing attributes or mismatches against reporting specifications
  • Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics

Translate Requirements into Analytical Specifications
  • Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations)
  • Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable components
  • Ensure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions

Plan and Execute Testing of Analytical Solutions
  • Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models
  • Support business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cycles
  • Verify performance (e.g., query response time, model runtime) against agreed upon thresholds

Support Implementation and Ongoing Operations
  • Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases
  • Monitor initial production runs, perform data reconciliations, and address any discrepancies that arise
  • Participate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement

Maintain Documentation and Knowledge Base
  • Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to date
  • Author and refresh end user guides, technical "how to" documents, and metadata catalogs in line with departmental standards

Communication and Collaboration
  • Translate complex analytical concepts into clear language for both technical and non technical audiences
  • Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations
  • Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance

Continuous Improvement
  • Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling
  • Define and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracy
  • Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction

Minimum Requirements
Education and Experience
Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science;
Or
Associate's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science;
Or
Bachelor's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.
Knowledge, Skills, & Abilities
  • SQL (preferably T-SQL)
  • Communication skills
  • Data Visualization Tools
  • Software Development Life Cycle (SDLC)
  • Data Governance
  • Documentation Tools and Platforms

Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$81,873-104,388/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long and Short-Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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