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Weekend Data Analyst Jobs in Denver, NC (NOW HIRING)

Data Analyst

Charlotte, NC · On-site

$75 - $110/hr

Data Analyst Charlotte, NC Full-time Insurance Domain Analytics & Reporting * Turn business questions from underwriting, claims, actuarial, and finance teams into well-structured analyses and ...

New

The Role Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your ...

The Data Analyst serves as a consultative partner to internal teams and clients, using structured discovery and analytical judgment to identify the underlying business need rather than simply ...

Data Analyst

Charlotte, NC · On-site

$70 - $90/hr

Data Analyst Location: Charlotte, NC, US Company: JM Huber Corporation Huber Engineered Woods (HEW), a division of J.M. Huber Corporation, combines its advanced adhesives and wood product ...

To learn more, please visit our website at www.huberwood.com Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to ...

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Data Analyst

Concord, NC · Hybrid

$76K - $103K/yr

Collaboration, Data Analytics, Data Science, Exploration, Statistical Analysis Certifications: None Experience: 2 + years of related experience US Citizenship Required: Yes DATA ANALYST Own your ...

Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self ...

Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self ...

Data Analyst- 222415-1 Location: CHARLOTTE-550 S Tryon St-144039 Hybrid either 4/1 or 3/2 onsite Interview Process: 30 minutes Teams and 2nd round must be in person- 1-1 1/2-hour panel Business Data ...

Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self ...

Job Title: Data Analyst Location: Charlotte, NC Mode Of Work: Hybrid It's a W2 role * Develop analytics reports in looker and power BI leveraging various data sources. * Use LLM's to build AI ...

Data Analyst/ Business Analyst - Process Automation & Reporting Location: Charlotte, NC 28202 Hybrid Schedule (2 day remote weekly) Duration: 6 months contract to start, potential to extend down the ...

Data Analyst/ Business Analyst - Process Automation & Reporting Location: Charlotte, NC 28202 - Hybrid Schedule (2 day remote weekly) Duration: 6 months contract to start, potential to extend down ...

Data Analyst - Dashboard & Reporting Analyst Location: Charlotte, NC Duration: 6+ Months, Could extend This individual will be responsible for designing and creating Money in Motion dashboard and ...

Data Analyst

Charlotte, NC · On-site

$50 - $55/hr

Process Automation Engineer/ Data Analyst - Xceptor Location: Charlotte, NC 28202 : 3 day in office, 2 day remote weekly Schedule: Mon-Fri : Basic Business hours Duration: 6-month contract to start ...

Data Analyst

Charlotte, NC · On-site

$50 - $55/hr

Process Automation Engineer/ Data Analyst - Xceptor Location: Charlotte, NC 28202 : 3 day in office, 2 day remote weekly Schedule: Mon-Fri : Basic Business hours Duration: 6-month contract to start ...

Position Description We are searching for a professional experienced in Healthcare analytics with a wide and deep understanding of Healthcare data; with experience in clinical, financial and ...

Job Overview: The Data Analyst will enter data and prepare various reports using MicroSoft Office Suite. Key Responsibilities: * Retrieves source files and work from the data center each day.

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Weekend Data Analyst information

See Denver, NC salary details

$31.4K

$76.4K

$125.8K

How much do weekend data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for weekend data analyst in Denver, NC is $76,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 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 Denver, NC?

The most popular types of Data Analyst jobs in Denver, NC are:

What are popular job titles related to Weekend Data Analyst jobs in Denver, NC?

For Weekend Data Analyst jobs in Denver, NC, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Denver, NC look for?

The top searched job categories for Weekend Data Analyst jobs in Denver, NC are:

What cities near Denver, NC are hiring for Weekend Data Analyst jobs?

Cities near Denver, NC with the most Weekend Data Analyst job openings:

$75 - $110/hr

Other

Posted 2 days ago

New


Job description

Charlotte, United States | Posted on 06/04/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Data Analyst

Charlotte, NC

Full-time

Insurance Domain

Analytics & Reporting
  • Turn business questions from underwriting, claims, actuarial, and finance teams into well-structured analyses and repeatable reports.
  • Build and maintain dashboards and scorecards for KPIs such as loss ratio, combined ratio, premium growth, retention/lapse, and claims cycle time.
  • Perform exploratory analysis to surface trends, anomalies, and opportunities (e.g., emerging loss patterns, fraud indicators, leakage).
  • Document assumptions, definitions, and methodology so results are transparent and auditable.
Insurance Domain Analytics
  • Analyze policy, premium, claims, and billing data to support pricing, reserving, and portfolio management discussions.
  • Support loss-ratio, frequency/severity, and retention/churn analyses for P&C and/or L&A lines of business.
  • Partner with actuarial and underwriting teams to validate data and interpret results in business context.
Data Preparation & SQL
  • Write and optimize SQL to extract, join, and aggregate data from the lakehouse / data warehouse.
  • Profile, clean, and validate datasets; flag and help resolve data quality issues with engineering.
  • Build reusable, well-documented queries, views, and semantic-layer definitions.
Visualization & Stakeholder Enablement
  • Design clear, decision-oriented visualizations in Power BI / Tableau (or equivalent).
  • Translate analysis into concise narratives and recommendations for non-technical business stakeholders.
  • Enable self-service by documenting metrics and curating trusted data sources.
  • Strong SQL across cloud data warehouse / lakehouse environments (Databricks SQL, Snowflake, BigQuery, or similar).
  • BI/visualization tools Power BI and/or Tableau.
  • Spreadsheet modeling (Excel) for ad-hoc analysis.
  • Working knowledge of Python (pandas) for data wrangling is a plus.
Required Qualifications
  • 4–7+ years of experience in data analysis, business intelligence, or reporting.
  • Strong, demonstrable SQL skills (complex joins, window functions, aggregations, query tuning).
  • Proven experience building dashboards and reports in Power BI and/or Tableau.
  • Solid understanding of data modeling concepts (dimensional / star schema) from a consumer's perspective.
  • Ability to translate ambiguous business questions into structured analysis and clear deliverables.
  • Strong written and verbal communication with business stakeholders.
Preferred Skills
  • Insurance domain knowledge P&C and/or Life & Annuities; familiarity with premium, claims, and loss-ratio concepts.
  • Experience with cloud data platforms (Databricks, Snowflake, Azure/AWS/GCP).
  • Python (pandas) or R for analysis and automation.
  • Statistical analysis fundamentals and A/B or cohort analysis experience.
  • Exposure to data governance, metadata, and trusted-source / semantic-layer practices.
  • Awareness of PII/PHI handling and regulated-data sensitivity.
Requirements
  • Strong SQL complex joins, window functions, aggregation, query tuning
  • Power BI and/or Tableau dashboard and report development
  • Ability to translate business questions into structured analysis
  • Strong stakeholder communication and storytelling
  • 4–7+ years in data analysis / BI / reporting
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