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

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

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All JobsRemote Data Analyst Spanish JobsRemote Data Analyst Spanish Jobs in Raleigh, NC

Remote Data Analyst Spanish information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jun 28, 2026, the average yearly pay for remote data analyst spanish 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 does a Remote Data Analyst Spanish do?

A Remote Data Analyst Spanish is responsible for collecting, analyzing, and interpreting data for organizations, with a particular focus on Spanish-language data sets or clients. They use statistical tools and data visualization techniques to identify trends and provide actionable insights. Working remotely, they collaborate with teams to support business decisions, create reports, and ensure data accuracy, often leveraging their Spanish language skills for communication and analysis.

What is the difference between Remote Data Analyst Spanish vs Remote Data Analyst French?

AspectRemote Data Analyst SpanishRemote Data Analyst French
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in Spanish; basic data analysis toolsBachelor's in Data Science, Statistics, or related field; proficiency in French; basic data analysis tools
Work environmentRemote, often with international companies serving Spanish-speaking marketsRemote, often with international companies serving French-speaking markets
Employer usageCompanies targeting Spanish-speaking clients or marketsCompanies targeting French-speaking clients or markets
Search intentLooking for Spanish-language data analysis rolesLooking for French-language data analysis roles

The main difference between Remote Data Analyst Spanish and Remote Data Analyst French lies in language proficiency and target markets. Both roles require similar technical skills and certifications but focus on serving different language-speaking audiences, making them distinct in language requirements and regional client base.

How does being a Remote Data Analyst Spanish impact collaboration with international teams?

As a Remote Data Analyst Spanish, you will frequently collaborate with colleagues across different countries and time zones, often acting as a language and cultural bridge. This requires strong communication skills, flexibility in scheduling virtual meetings, and the ability to work independently while staying connected with the team. You'll likely use collaborative tools like Slack, Zoom, and shared dashboards to coordinate projects, provide data insights, and ensure that Spanish-language data sets are accurately interpreted and reported. Successfully navigating these dynamics can open up further opportunities for advancement within international analytics teams.

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

To thrive as a Remote Data Analyst (Spanish), you need strong analytical and statistical skills, proficiency in data visualization, and fluency in both Spanish and English, typically supported by a degree in data science, statistics, or a related field. Familiarity with technical tools such as SQL, Python or R, and platforms like Tableau or Power BI is often required, along with experience using remote collaboration systems. Exceptional attention to detail, problem-solving abilities, and effective communication—especially cross-culturally—are valuable soft skills for this role. These qualifications enable accurate data-driven insights and seamless teamwork across diverse, often international, environments.
What are popular job titles related to Remote Data Analyst Spanish jobs in Raleigh, NC? For Remote Data Analyst Spanish jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Spanish jobs in Raleigh, NC look for? The top searched job categories for Remote Data Analyst Spanish jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Analyst Spanish jobs? Cities near Raleigh, NC with the most Remote Data Analyst Spanish job openings:
Remote Data Analyst Spanish 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

Posted 25 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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