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Weekend Data Jobs in Cincinnati, OH (NOW HIRING)

Position Summary The Data Center Support Analyst is responsible for the managing to operational ... The candidate must be willing to work shifts and weekends. Essential Job Functions * Customer ...

Data Warehouse Specialist

Hebron, KY

$17 - $22.25/hr

... weekends. Additional Information If you are interested in this position and would like to set up an Interview, feel free to contact: Ujjwal Mane 973-805-7557 ujjwal.mane(at)collabera.com

Identify potential applications fro data science techniques * Assist management in setting priorities for near-term projects * Drive the collection of new data and the manipulation/refinement of ...

Identify potential applications fro data science techniques * Assist management in setting priorities for near-term projects * Drive the collection of new data and the manipulation/refinement of ...

Data Center Technician

Hebron, KY · On-site

$30 - $36/hr

... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without sponsorship Certifications (Preferred) CompTIA Server+ or equivalent hardware certification Data center or ...

Job Title: Data Analyst Pay Rate: $35.00-$38.00/hour Location: West Chester Township, OH 45069 Area Code: 513 Shift: 1st Employment Type: W2/Direct, Benefits #aerospacejobs #dataanalysis ...

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data ...

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department. In this role, you'll collaborate with claim and underwriting professionals, product managers, data ...

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Experience in ETL/ELT tools and data integration frameworks. * Strong knowledge of data warehousing concepts and dimensional modeling. * Experience with big data technologies (Spark, Hadoop ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department. In this role, you'll collaborate with claim and underwriting professionals, product managers, data ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work ...

Data Engineer

Cincinnati, OH · On-site

$125 - $150/hr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department. In this role, you'll collaborate with claim and underwriting professionals, product managers, data ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role ...

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to support a major bank‐to‐bank migration. This role involves building data pipelines, supporting conversion cycles, and ensuring ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

The Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge analytic ...

Data Entry

Cincinnati, OH · On-site

$16.25 - $21.75/hr

Data Entry Clerk We are seeking a detail-oriented and organized Data Entry Clerk to accurately input, update, and maintain information in company databases and systems. The ideal candidate will have ...

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Weekend Data information

See Cincinnati, OH salary details

$8

$18

$44

How much do weekend data jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for weekend data in Cincinnati, OH is $18.37, according to ZipRecruiter salary data. Most workers in this role earn between $12.78 and $18.49 per hour, depending on experience, location, and employer.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

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

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Cincinnati, OH?

The most popular types of Data jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Weekend Data jobs?

Cities near Cincinnati, OH with the most Weekend Data job openings:

Infographic showing various Weekend Data job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,212 per year, or $18.4 per hour.

2356 Security Software Data Engineer I

Cincinnati, OH • Remote

Smart Data
IT Services • 51 - 200 employees

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

Job Title: Security Software Data Engineer

Location: REMOTE EST/CST

Years of Experience: 3-15


TOP SKILLS:

Must Have

  • 3 + years of experience in ETL space
  • AWS
  • Power BI
  • Power Shell Scripting
  • Python

Nice To Have

  • 2+ years of Power BI development experience (including Report Builder, Desktop, and Service)

 

What You’ll Do

 As an Information Security Data Visualization Engineer, you will transform complex cybersecurity data into intuitive, interactive analytical experiences that help analysts, engineers, leaders, and executives make informed decisions. Your primary focus will be designing, developing, and maintaining Power BI dashboards, visualizations, scorecards, and analytical solutions that provide meaningful visibility into critical aspects of the bank's cybersecurity programs.

Working closely with cybersecurity teams, data engineers, product owners, architects, and business stakeholders, you will build and enhance visualization solutions that enable users to explore data, investigate trends, understand relationships, and gain operational insights from complex cybersecurity datasets. Leveraging established requirements, data models, and architectural guidance, you will create highly usable and performant solutions that support both day-to-day operations and strategic decision-making.

In This Role, You Will:

  • Develop and maintain Power BI dashboards, reports, scorecards, and interactive visualizations supporting cybersecurity operations, threat intelligence, engineering, risk management, and leadership functions.
  • Create data models, calculated measures, semantic layers, and visual components using Power BI best practices and established design guidance.
  • Develop highly interactive visualizations that enable users to drill into, filter, correlate, and explore cybersecurity data across multiple dimensions and perspectives.
  • Implement reporting and visualization capabilities using existing requirements, designs, and data models.
  • Work with data pipelines, integrations, and ETL processes that enable reliable and scalable visualization and reporting solutions.
  • Collaborate with cybersecurity, engineering, and business teams to implement reporting and visualization solutions aligned with business and operational objectives.
  • Develop and maintain data quality controls, validation processes, testing practices, and documentation to ensure trust in analytical outputs.
  • Contribute ideas and recommendations to improve visualization capabilities, user experiences, and operational visibility.
  • Participate in Agile activities including story refinement, estimation, sprint planning, retrospectives, and standups.
  • Contribute to peer reviews, testing, deployment, and ongoing support of reporting and visualization solutions.
  • Support continuous improvement efforts focused on usability, performance, scalability, maintainability, and user adoption.
  • Perform other duties as assigned.

What You Should Have

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent professional experience.
  • 4-6+ years of experience developing business intelligence, data visualization, reporting, analytics, or data engineering solutions.
  • Strong experience with Microsoft Power BI, including dashboard development, report development, data modeling, DAX, performance optimization, and visualization design.
  • Experience designing intuitive, highly interactive visualizations that enable users to explore, analyze, and gain insights from complex datasets.
  • Experience developing Power BI solutions that leverage drill-through, drill-down, bookmarks, dynamic filtering, custom visuals, and other interactive capabilities.
  • Strong SQL skills and experience working with relational databases, data warehouses, and large datasets.
  • Experience building and supporting ETL and data integration processes involving structured and semi-structured data sources.
  • Experience with Python, JavaScript, or another modern programming language used for automation, data processing, or integration development.
  • Experience working with cloud-based data platforms and services, preferably AWS.
  • Understanding of data governance, data quality, data modeling, and reporting best practices.
  • Ability to validate data accuracy and develop automated testing and monitoring for reporting and visualization solutions.
  • Experience working in Agile development environments.
  • Strong communication and collaboration skills with the ability to work effectively with both technical and non-technical stakeholders.
  • Ability to implement scalable reporting and visualization solutions based on established requirements, designs, and business objectives.
  • A continuous improvement mindset with a focus on usability, performance, sustainability, maintainability, and operational excellence.

Preferred Qualifications

  • Experience supporting cybersecurity, threat intelligence, risk management, fraud, compliance, or other data-intensive operational programs.
  • Experience with Snowflake, or similar platforms.
  • Familiarity with Power BI administration, governance, deployment pipelines, workspace management, and security models.
  • Experience developing key risk indicators (KRIs), key performance indicators (KPIs), operational scorecards, or executive reporting solutions.
  • Knowledge of data warehousing concepts, dimensional modeling, semantic modeling, and analytical data design techniques.
  • Experience with Infrastructure as Code and modern cloud-native development practices.
  • Familiarity with cybersecurity data sources, security operations workflows, threat intelligence, vulnerability management, or security analytics.

 

What You’ll Get

SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with a company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • You’ll be eligible to earn referral bonuses!