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Weekend Data Analyst Jobs in Tulsa, OK (NOW HIRING)

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Data ingestion and curation: Load operations data into analytical systems, identify and address anomalies, and enrich records with domain context through AI-assisted workflows. * Automation: Automate ...

Weekend Maintenance

Tulsa, OK · On-site

$36.25/hr

... Kuka) Weekend Shift Hours- Friday, Saturday and Sunday from 5:00am to 5:30pm Hourly pay rate for ... Collect and analyze data using predictive maintenance technologies (e.g., Infrared cameras, shaft ...

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Weekend Data Analyst information

See Tulsa, OK salary details

$31.1K

$75.5K

$124.2K

How much do weekend data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for weekend data analyst in Tulsa, OK is $75,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,600.00 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 Tulsa, OK? The most popular types of Data Analyst jobs in Tulsa, OK are:
What job categories do people searching Weekend Data Analyst jobs in Tulsa, OK look for? The top searched job categories for Weekend Data Analyst jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Weekend Data Analyst jobs? Cities near Tulsa, OK with the most Weekend Data Analyst job openings:

Data Engineer / Data Analyst Associate - Business Transformation

DuPont

Tulsa, OK • On-site

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


DuPont rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

27th of 100 rated chemical manufacturers


Job description

Experience a 45X+ award-winning culture!

Embarkers enjoy:

  • Work-life integration: We encourage our team to balance work with personal life. 95% of our employees feel they can take time off when necessary

  • Growth and development: We offer continuous learning opportunities, including CPE credits and coaching, to support our employees' professional growth and ensure they execute excellently for clients

  • Award-winning culture: Recognized for our outstanding workplace environment, we prioritize the happiness and well-being of our team

Embark isn't your ordinary consulting firm. We're committed to cultivating a workplace where everyone can thrive-where happiness is at the core of our success. Where Happy Works. Our team is dedicated to solving complex problems for finance, accounting, HR, and technology leaders with forward-thinking solutions and unparalleled hospitality. Here are a few reasons why 93% of Embarkers agree that we offer special and unique benefits:

  • Unlimited PTO: Enjoy unlimited PTO to recharge and pursue your passions

  • Comprehensive healthcare: 100% paid premiums for you and your family

  • Whole human growth: $150 monthly stipend for holistic development

  • Career advancement: Access to CPE credits, learning platforms, coaching, and professional development

  • Financial support: Up to 3% 401(k) matching and financial advisory services

  • Team and community engagement: Monthly social events within your market, charitable matching, and great people!

What you'll be doing
This role will be instrumental in developing and maintaining scalable data infrastructures that are foundational for advanced analytics and data-driven decision-making. Working within Embark's Data & Analytics practice, this associate will support client engagements that span data strategy, integration, and reporting - often for clients with a strong finance and accounting orientation. This role is ideal for someone with a solid technical foundation in data architecture and engineering, who is eager to grow in a client-facing, consulting environment.

Key Responsibilities

  • Assist in designing, building, and maintaining efficient and reliable data pipelines using tools such as Fivetran, Snowflake, Azure Data Factory, and Databricks

  • Support the implementation of data management systems to meet business and technical requirements

  • Work collaboratively with data engineers and analysts to optimize data collection, transformation, and processing

  • Help build and maintain reports and dashboards (Power BI, Tableau) that translate raw data into client-facing insights, supporting the handoff from data engineering to business intelligence

  • Contribute to the integration of new data management technologies and software engineering tools

  • Help maintain data security and compliance according to industry standards

  • Participate in troubleshooting and resolving issues in data pipelines

  • Help evaluate and integrate new data management technologies, software tools, and AI-powered analytics and automation solutions to improve efficiency and insight generation

  • Communicate effectively with client stakeholders - including finance and accounting teams - to understand requirements and translate them into technical solutions

  • Support multiple client engagements simultaneously in a fast-paced, MVP-driven delivery model


Required Qualifications

  • Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related program

  • 0-2 years of relevant experience in a data engineering or analytics role; management consulting experience a plus

  • Proficiency in SQL

  • Experience with, or strong interest in, cloud data platforms such as Snowflake and Databricks

  • Familiarity with Microsoft data & analytics tools (Azure Data Factory, Azure Synapse, SQL Server) a plus

  • Experience with programming languages such as Python, Java, or Scala

  • Exposure to BI/visualization tools (Power BI, Tableau) preferred

  • Familiarity with or interest in AI/ML tools and their application to data analytics is a plus

  • Interest in or exposure to ERP and finance systems (e.g., NetSuite) a plus

  • Strong problem-solving abilities and a detail-oriented mindset

  • Excellent communication skills, with comfort engaging directly with client stakeholders

  • Ability to work effectively in a team and manage multiple priorities across engagements

What's in it for you:

  • We pay 100% of insurance premiums on medical, dental, and vision for you AND your family

  • Typical compensation range of $85,000- $95,000

  • We match 50% to 6% on our 401K

  • Fully paid parental leave for all new parents

  • Monthly stipend for whole human wellness

  • All the technology you'll need to be successful, the most advanced software, and accessories to ensure you get the job done in style

  • Monthly team outings (think: axe throwing, a trip to the State Fair, go-kart races, etc.)

In closing...

If this role sounds exciting, apply and let's start the conversation!


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Upon offer of employment, employees will be asked to submit to a background check and drug screen. Dependent on ongoing client requirements, employees may also be asked to submit to a drug screening and background check throughout employment.


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