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Weekend Data Analyst Jobs in Alabama (NOW HIRING)

ServiceNow Data Analyst

AL · On-site +1

$80K - $100K/yr

ServiceNow Data Analyst Position Type: Technical Clearance: n/a Location: Huntsville, AL SOC Code: 15-2051 Salary*: $80,000 - 100,000 per year *Dependent upon qualifications Summit 7 is here to rise ...

The Network Data Analyst will act as the primary point of contact for managing and optimizing data from LG Field Service systems. This role focuses on building and automating data structures to ...

Job Title :: Data Analyst 2 Location :: Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data ...

The Enterprise Data Analyst is responsible for both designing and developing our data architecture and performing data analysis to support business decision-making. This role encompasses the end-to ...

Network Data Analyst

Huntsville, AL · On-site

$55K - $73K/yr

The Network Data Analyst will act as the primary point of contact for managing and optimizing data from LG Field Service systems. This role focuses on building and automating data structures to ...

Job Overview The Master Data Analyst is responsible for maintaining accurate and reliable material master data within SAP to support planning, purchasing, production, and inventory management. This ...

The role involves building data models, conducting variance analysis, and enhancing decision-making through robust data visualizations. Responsibilities : • Builds should-cost models for key ...

Job Overview The Master Data Analyst is responsible for maintaining accurate and reliable material master data within SAP to support planning, purchasing, production, and inventory management. This ...

Data Analyst - AMG

Birmingham, AL · On-site

$52K - $127K/yr

As a Data Analyst within PNC's AMG organization, you will be based in Pittsburgh, PA, Cleveland, OH, Dallas, TX, or Birmingham, AL. Experience required includes, but not limited to: Strong experience ...

New

The PIM Data Analyst is responsible for managing product data, ensuring data integrity, and collaborating with various stakeholders to support business needs. Responsibilities : • Creates, inputs ...

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Weekend Data Analyst information

See Alabama salary details

$30.8K

$74.9K

$123.3K

How much do weekend data analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for weekend data analyst in Alabama is $74,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,900.00 per year, depending on experience, location, and employer.

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.

What are Weekend Data Analysts?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 are the most commonly searched types of Data Analyst jobs in Alabama? The most popular types of Data Analyst jobs in Alabama are:
What cities in Alabama are hiring for Weekend Data Analyst jobs? Cities in Alabama with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Alabama as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 76% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $74,904 per year, or $36 per hour.
DATA ENGINEER/DATA ANALYST

Full-time

Posted yesterday


Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is hiring an experienced Data Engineer/Data Analyst with an active SECRET clearance to support the government customer in Huntsville, Alabama.Position Overview Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a secure Department of War (DoW) environment

This position is responsible for designing, building, maintaining, and optimizing data solutions primarily within the Army Vantage Platform, while also leveraging Power BI for visualization, reporting, and integration with enterprise data products. The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis, data ingestion, transformation, modeling, validation, visualization, troubleshooting, and sustainment. This role helps enable authoritative, scalable, and secure data products that improve operational insight, business intelligence, and decision-making across multiple Line of Business initiatives.

Essential Functions, Responsibilities, and Duties Responsibilities include, but are not limited to: Analyze business requirements, functional requirements, and data specifications to design and develop scalable data and analytics solutions. Design, build, and maintain data pipelines, curated data assets, analytical models, and reporting solutions within the Army Vantage Platform. Develop and support dashboards, reports, workflows, and operational data products for mission and business users.

Leverage Power BI to create visualizations, dashboards, and executive-level reporting solutions using trusted and governed data sources. Perform data transformation, cleansing, normalization, and enrichment across structured and semi-structured data sources. Design and implement logical and physical data models that support reporting, analysis, and operational use cases.

Develop and optimize SQL queries, procedures, and transformations to support data integration and reporting requirements. Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely resolution of production problems. Collaborate with cross-functional teams to identify, acquire, validate, and govern data from multiple authoritative sources.

Support data quality, data lineage, data governance, and traceability requirements across analytics solutions. Prepare, model, visualize, and analyze data to provide meaningful reporting and decision-support capabilities aligned to customer and mission needs. Incorporate DoW security requirements, access controls, and data protection measures into analytics and modernization efforts.

Participate in architecture discussions, solution reviews, and platform improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data environments. Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products. Produce clear technical documentation, user guidance, and solution artifacts to support sustainment and knowledge transfer.

Communicate effectively with technical and non-technical stakeholders and deliver clear, accurate, and mission-relevant data solutions. Work Experience, Knowledge, Skills, and Abilities Bachelor's degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant experience. Minimum of 72 months of related experience aligned to the position requirements.

Demonstrated experience building end-to-end data and analytics solutions in: o data integration o data transformation o data modeling o data warehousing o analytics o dashboarding and reporting Strong experience with Army Vantage Platform or comparable Palantir Foundry-based enterprise analytics environments. Experience with Power BI, including dashboard development, semantic modeling, data shaping, DAX, and enterprise reporting. Experience working with Microsoft SQL Server, relational databases, and SQL development for reporting and analytics.

Experience analyzing and transforming data using ETL/ELT techniques and platform-native data workflows. Understanding of data governance, authoritative data sourcing, data lineage, and data stewardship principles. Demonstrated understanding of database architecture design patterns and the complete application development and analytics lifecycle.

Ability to design solutions that provide meaningful, accurate, and mission-relevant business intelligence outputs. Experience collaborating with analytics teams, application teams, and solution architects in a secure DoW environment. Excellent verbal and written communication skills, strong business acumen, exceptional interpersonal capabilities, and close attention to detail.

Preferred Qualifications Experience building or maintaining data products, pipelines, and analytical workflows within Army Vantage. Experience with Palantir Foundry concepts such as data pipelines, ontology-backed data products, lineage, governed access, and operational analytics workflows. Experience integrating or consuming Army Vantage data within Power BI or similar enterprise visualization platforms.

Experience supporting data solutions for Army, DoW, readiness, logistics, financial, or operational mission sets. Familiarity with agile delivery methodologies and iterative analytics development.Position Overview Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a secure Department of War (DoW) environment. This position is responsible for designing, building, maintaining, and optimizing data solutions primarily within the Army Vantage Platform, while also leveraging Power BI for visualization, reporting, and integration with enterprise data products

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis, data ingestion, transformation, modeling, validation, visualization, troubleshooting, and sustainment. This role helps enable authoritative, scalable, and secure data products that improve operational insight, business intelligence, and decision-making across multiple Line of Business initiatives. Essential Functions, Responsibilities, and Duties Responsibilities include, but are not limited to: Analyze business requirements, functional requirements, and data specifications to design and develop scalable data and analytics solutions.

Design, build, and maintain data pipelines, curated data assets, analytical models, and reporting solutions within the Army Vantage Platform. Develop and support dashboards, reports, workflows, and operational data products for mission and business users. Leverage Power BI to create visualizations, dashboards, and executive-level reporting solutions using trusted and governed data sources.

Perform data transformation, cleansing, normalization, and enrichment across structured and semi-structured data sources. Design and implement logical and physical data models that support reporting, analysis, and operational use cases. Develop and optimize SQL queries, procedures, and transformations to support data integration and reporting requirements.

Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely resolution of production problems. Collaborate with cross-functional teams to identify, acquire, validate, and govern data from multiple authoritative sources. Support data quality, data lineage, data governance, and traceability requirements across analytics solutions.

Prepare, model, visualize, and analyze data to provide meaningful reporting and decision-support capabilities aligned to customer and mission needs. Incorporate DoW security requirements, access controls, and data protection measures into analytics and modernization efforts. Participate in architecture discussions, solution reviews, and platform improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data environments.

Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products. Produce clear technical documentation, user guidance, and solution artifacts to support sustainment and knowledge transfer. Communicate effectively with technical and non-technical stakeholders and deliver clear, accurate, and mission-relevant data solutions.

Work Experience, Knowledge, Skills, and Abilities Bachelor's degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant experience. Minimum of 72 months of related experience aligned to the position requirements. Demonstrated experience building end-to-end data and analytics solutions in: o data integration o data transformation o data modeling o data warehousing o analytics o dashboarding and reporting Strong experience with Army Vantage Platform or comparable Palantir Foundry-based enterprise analytics environments.

Experience with Power BI, including dashboard development, semantic modeling, data shaping, DAX, and enterprise reporting. Experience working with Microsoft SQL Server, relational databases, and SQL development for reporting and analytics. Experience analyzing and transforming data using ETL/ELT techniques and platform-native data workflows.

Understanding of data governance, authoritative data sourcing, data lineage, and data stewardship principles. Demonstrated understanding of database architecture design patterns and the complete application development and analytics lifecycle. Ability to design solutions that provide meaningful, accurate, and mission-relevant business intelligence outputs.

Experience collaborating with analytics teams, application teams, and solution architects in a secure DoW environment. Excellent verbal and written communication skills, strong business acumen, exceptional interpersonal capabilities, and close attention to detail. Preferred Qualifications Experience building or maintaining data products, pipelines, and analytical workflows within Army Vantage.

Experience with Palantir Foundry concepts such as data pipelines, ontology-backed data products, lineage, governed access, and operational analytics workflows. Experience integrating or consuming Army Vantage data within Power BI or similar enterprise visualization platforms. Experience supporting data solutions for Army, DoW, readiness, logistics, financial, or operational mission sets.

Familiarity with agile delivery methodologies and iterative analytics development.