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Weekend Data Analyst Jobs in West Virginia (NOW HIRING)

The Sr. Data Governance Lead will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics ...

Devises new sources of data and develops new approaches and techniques for use by others * Conducts ... Adaptability, flexibility and ability to work branch hours, including weekends and some evenings.

Review API designs, data mappings, and integration requirements to ensure completeness and accuracy ... Adaptability, flexibility and ability to work branch hours, including weekends and some evenings.

... ability in data analytics using various systems and tools. 9. Provides support in problem ... identification, resolution, and solution design for a variety of business needs. 10. Serves as ...

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Weekend Data Analyst information

See West Virginia salary details

$26.3K

$64K

$105.3K

How much do weekend data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for weekend data analyst in West Virginia is $63,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $75,100.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

What are the key skills and qualifications needed to thrive as a weekend data analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

What are the most commonly searched types of Data Analyst jobs in West Virginia?

The most popular types of Data Analyst jobs in West Virginia are:

What are popular job titles related to Weekend Data Analyst jobs in West Virginia?

For Weekend Data Analyst jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in West Virginia look for?

The top searched job categories for Weekend Data Analyst jobs in West Virginia are:

What cities in West Virginia are hiring for Weekend Data Analyst jobs?

Cities in West Virginia with the most Weekend Data Analyst job openings:

Safeguards Enforcement Analyst, Integrity & Authenticity

Anthropic

Friendly, WV • On-site, Remote

$285K - $330K/yr

Full-time

PTO

Re-posted 13 days ago


Job description

About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals.
Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events.
Key responsibilities
  • Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
  • Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems
  • Review flagged content to drive enforcement and policy improvements
  • Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups
  • Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
  • Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows
Minimum qualifications
  • Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms
  • Experience standing up and scaling policy enforcement or content review workflows
  • Proficiency in SQL and/or other data analysis tools to draw insights from large datasets
  • Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
  • Experience working with generative AI products, including writing effective prompts for content review and enforcement
  • Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Preferred qualifications
  • Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns
  • Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis
  • Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms
  • Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale
  • Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions
  • Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR)
  • Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues
  • Proficiency in Python for data analysis and automation
  • Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments

The annual compensation range for this role is listed below.
For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000-$330,000 USD
Logistics
Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.