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Remote Data Processing Jobs in Madison, WI (NOW HIRING)

Account Executive (Remote)

Madison, WI · Remote

$160K - $200K/yr

Expand Polco's footprint by selling our civic engagement and data solutions to cities, counties ... Respond promptly to inbound leads within your territory and advance them through the sales process ...

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Remote Data Processing information

See Madison, WI salary details

$12

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$35

How much do remote data processing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote data processing in Madison, WI is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.55 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are popular job titles related to Remote Data Processing jobs in Madison, WI? For Remote Data Processing jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Madison, WI look for? The top searched job categories for Remote Data Processing jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Data Processing jobs? Cities near Madison, WI with the most Remote Data Processing job openings:
Splunk Enterprise Security (ES) Consultant - remote

Splunk Enterprise Security (ES) Consultant - remote

System One

Arlington, WI • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Job description

Splunk Enterprise Security (ES) Consultant - remote Remote – offsite Responsibilities
  • Develop custom detection content: correlation searches, notable events, alerts, reports, and visualizations to surface threat activity
  • Build and maintain Splunk Apps and Technology Add-ons (TAs)
  • Onboard new data sources and normalize them to the Common Information Model (CIM)
  • Optimize data flow and ingestion using aggregation, filtering, and pipeline tuning
  • Configure notable event actions, action menus, and Adaptive Responses
  • Tune detections to cut noise and surface what matters, including risk-based alerting where applicable
  • Build dashboards that highlight anomalies, trends, and security and operational metrics
  • Support and optimize large distributed clustered Splunk environments (search heads, indexers, forwarders, deployment servers)
  • Partner with the client's security and SOC teams, debug complex integration and configuration issues
  • Document processes, procedures, and key engineering decisions
Requirements
  • Several years of hands-on Splunk experience, with real ES implementation, content development, and tuning
  • Strong SPL and regular expressions
  • Scripting in Python, Perl, or Bash
  • Solid grasp of CIM and data onboarding and normalization at scale
  • Experience supporting clustered Splunk environments in SOC or NOC settings
  • SIEM data modeling experience on a platform at scale
  • Proficiency in Linux, including editing and maintaining Splunk config files and apps
  • Comfortable working consultatively with client teams and explaining the why behind the work
  • Splunk certifications (Core Certified Consultant, ES Certified Admin, Architect) are a plus but not required
  • Demonstrated ES delivery experience carries more weight than paper
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #LI-KA1 #M1

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