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Weekend Data Analyst Jobs in Laurel, MD (NOW HIRING)

Data Analyst

Washington, DC · On-site

$115K - $125K/yr

The Data Analyst provides actionable insights, automation recommendations, and project status reporting to support current and future growth. This position plays a key role in ensuring Tech Refresh ...

Data Analyst

Washington, DC · On-site

$115 - $125/hr

The Data Analyst provides actionable insights, automation recommendations, and project status reporting to support current and future growth. This position plays a key role in ensuring Tech Refresh ...

The Data Analyst provides actionable insights, automation recommendations, and project status reporting to support current and future growth. This position plays a key role in ensuring Tech Refresh ...

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience ...

Data Analyst

Arlington, VA · On-site

$62 - $141/hr

Data Analyst Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand ...

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience ...

Data Analyst

Washington, DC · On-site

$80 - $120/hr

TekPro Support Services, (TSS) LLC is seeking a Data Analyst for the DC area. Candidate will provide mid-to-senior level data analysis, business intelligence, and application support to the FBI. The ...

Data Analyst

Washington, DC · On-site

$61 - $68/hr

The role of the Data Analyst is to provide data analysis support for the Office of the Chief Information Officer, which is located within the Office of the Chief of Staff. This is a highly skilled ...

Share Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the ...

The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 ...

Use sophisticated data analysis methods to support project team in creating deliverable for client * Work with clients to devise methods to optimize data capturing schemes and overall program ...

As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data ...

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance ...

The Data Analyst will use client platform data to identify trends, patterns, and actionable insights supporting mission objectives and system improvements. Work with stakeholders to define analytical ...

Data Analyst

Washington, DC · On-site

$90K - $105K/yr

TekPro Support Services, (TSS) LLC is seeking a Data Analyst for the DC area. Candidate will provide mid-to-senior level data analysis, business intelligence, and application support to the FBI. The ...

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance ...

The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 ...

Showing results 21-40

Weekend Data Analyst information

See Laurel, MD salary details

$33.7K

$81.9K

$134.8K

How much do weekend data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for weekend data analyst in Laurel, MD is $81,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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 Laurel, MD?

The most popular types of Data Analyst jobs in Laurel, MD are:

What job categories do people searching Weekend Data Analyst jobs in Laurel, MD look for?

The top searched job categories for Weekend Data Analyst jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Weekend Data Analyst jobs?

Cities near Laurel, MD with the most Weekend Data Analyst job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Company Overview

K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions.

Position Overview

We are seeking a Data Analyst with at least 3+ years of experience in data analytics to support a federal client in analyzing data, developing datasets, building dashboards, and preparing visualizations and reports that help client leadership make informed decisions. This role will work with business analysts, senior data analysts, dashboard developers, and federal stakeholders to translate reporting needs into clear, accurate, and useful analytical products.

Data Analyst

The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public safety agency is a plus.

The ideal candidate will reside in or within commutable distance to Washington DC.

Key Responsibilities:  

  • Support data analysis efforts by collecting, cleaning, validating, and preparing data from multiple source systems for dashboards, reports, and visualizations.
  • Write SQL queries to extract, transform, join, summarize, and analyze data for recurring and ad hoc reporting needs.
  • Support ETL activities, including data extraction, cleansing, transformation, quality checks, and documentation of business rules.
  • Build and maintain datasets used for dashboards, data visuals, performance reports, and analytical deliverables.
  • Develop dashboards, reports, charts, and visualizations using Power BI, and other BI or reporting tools.
  • Integrate Python into Power BI for highly customizable and complex statistical visualizations
  • Create ad hoc reports and analytical summaries in response to client stakeholder and project team requests.
  • Work with business analysts and client stakeholders to understand reporting requirements, metrics, data definitions, and intended dashboard use cases.
  • Perform data quality reviews, identify anomalies or inconsistencies, and support resolution of data issues.
  • Assist with dashboard testing, user acceptance testing, validation, and refinement based on stakeholder feedback.
  • Prepare clear documentation, including data dictionaries, metric definitions, report logic, source-to-target notes, and dashboard user guidance.
  • Collaborate with senior data analysts, internal data teams, and dashboard developers to ensure analytical outputs are accurate, useful, and aligned with client priorities.
  • Present analysis, findings, and dashboard functionality to technical and non-technical audiences as needed.
  • Support continuous improvement of reporting processes, dashboard usability, and data analysis workflows.

Required Qualifications:  

  • Minimum of 3+ years of experience in data analysis, reporting, business intelligence, dashboard development, or a related analytical role.
  • Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Finance, Statistics, Mathematics, Computer Science, or an equivalent field.
  • At least two years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
  • At least two years of experience writing complex SQL queries to extract, join, transform, and analyze data from relational databases or structured data sources.
  • At least two years of writing complex DAX and M-language formulas involving financial data
  • At least two years of experience in finance or accounting
  • Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)
  • Experience automating workflows
  • Experience working with multiple data sources and preparing datasets for reporting, dashboards, or business intelligence products.
  • Experience supporting ETL/ELT, data cleansing, data validation, and data quality review activities.
  • Experience developing dashboards, reports, and visualizations using Power BI, or similar BI tools.
  • Understanding of data visualization concepts, dashboard design principles, and reporting best practices.
  • Ability to build ad hoc reports and summarize analytical findings for stakeholders.
  • Strong written and verbal communication skills.
  • Ability to work effectively with federal clients, business analysts, senior data analysts, dashboard developers, and technical teams.
  • Strong attention to detail, organizational skills, and ability to manage multiple analytical tasks in a client-facing environment.
  • Must be in-person in Washington, D.C. 5 days a week.
  • Must have or be able to obtain full scope background investigation and clearance.

Preferred Qualifications:  

  • Experience supporting federal clients, particularly federal public safety, law enforcement, homeland security, emergency management, or related mission environments.
  • Expert in Python, SQL, and Power BI DAX
  • Expert in financial modeling and forecasting
  • Expert in ETL/ELT processes
  • Experience in BASH commands and PowerShell
  • Experience working in government consulting or public sector analytics environments.
  • Experience with additional BI, reporting, database, or data preparation tools.
  • Familiarity with data dictionaries, data lineage, metric documentation, and data governance practices.
  • Experience supporting executive-level dashboards, operational performance reporting, or mission-focused analytics.
  • Familiarity with Agile, hybrid, or iterative project delivery environments.

Desired Skills and Competencies

  • Strong analytical, problem-solving, and critical-thinking skills.
  • Solid Python, SQL, DAX, data preparation, dashboarding, and data visualization capabilities.
  • Ability to turn business and reporting needs into accurate datasets, charts, reports, and dashboard outputs.
  • Strong communication skills and ability to explain analytical findings to technical and non-technical audiences.
  • Strong attention to detail and commitment to data quality and documentation.
  • Ability to collaborate effectively with senior analysts, business analysts, federal stakeholders, and technical teams.
  • Willingness to learn, receive mentorship, and contribute to team standards and repeatable analytical practices.

Benefits: 

  • Competitive salary
  • Health, dental, and vision insurance
  • 401K
  • "Discretionary" PTO
  • Professional development opportunities
  • A dynamic and collaborative work environment

Working Environment: 

This role will support a federal client and requires collaboration with client stakeholders, public safety subject matter experts, business analysts, senior data analysts, dashboard developers, and project leadership. The Data Analyst will help transform raw data into usable datasets, dashboards, reports, and visual insights that support operational and leadership decision-making.

If you are a results-driven professional and have the above qualifications, we encourage you to apply for this position.  Join our team and contribute to our continued growth and success.  To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role. 

K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply. We thank all applicants for their interest, but only those selected for an interview will be contacted.