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No Experience Data Encoder Jobs in Romeoville, IL

Tavern Research

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

... no one else has dared to tackle. These are the kinds of challenges that stay with you-in the shower ... Experience building statistical models (beyond differential equations or simulations)

RXO

Senior Solutions Engineer

Naperville, IL · On-site

$55.25 - $71.25/hr

Experience data mining and generating simulations in Microsoft BI, Access, and Excel to identify ... We're a company where you can continually advance your career, no matter your background - the ...

Rush University Medical Center

HIM Coder

Chicago, IL · Remote

$29.36 - $47.79/hr

... experience and skills, as well as internal equity and industry specific market data. The pay range ... in 3M encoder/Epic software with accuracy and attention to detail • Completes UHDDS data ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL

$118K - $141K/yr

Experience: * 5+years of experience in data engineering, including building and managing pipelines ... Note: No amount of pay is considered to be wages or compensation until such amount is earned ...

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All JobsData Encoder JobsNo Experience Data Encoder JobsNo Experience Data Encoder Jobs in Romeoville, IL

No Experience Data Encoder information

How to become a data encoder?

To become a data encoder, typically you need a high school diploma or equivalent and basic computer skills. Training is often provided on the job, focusing on data entry software and accuracy, with attention to detail and speed being important qualities.

Is prior experience needed for encoder positions?

No experience is typically required for data encoder positions, as many employers offer on-the-job training. Basic computer skills and attention to detail are usually sufficient to start, making these roles accessible to entry-level applicants.

How to apply to an encoder online without experience?

To apply for a No Experience Data Encoder position online, submit a resume highlighting relevant skills such as attention to detail and basic computer knowledge. Many employers accept entry-level applications and may provide on-the-job training, so demonstrating a willingness to learn can improve your chances. Ensure you follow the application instructions carefully and include any relevant certifications or coursework if available.

What are some common challenges for someone starting out as a No Experience Data Encoder?

One common challenge for new Data Encoders is maintaining speed and accuracy while entering large volumes of information, especially in environments with tight deadlines. Adapting to company-specific software or databases may also require an initial learning period, but most employers provide comprehensive training and ongoing support. It can take time to become accustomed to repetitive tasks, but developing efficient workflows and using keyboard shortcuts can make the job easier. Teamwork and clear communication with supervisors or colleagues are key, especially when clarifying unclear data or prioritizing urgent tasks.

Is it easy to get a data entry job with no experience?

Data entry jobs typically require minimal experience and often provide on-the-job training, making them accessible to beginners. Basic skills in typing, attention to detail, and familiarity with spreadsheet or database software can improve chances of securing such roles.

What are the key skills and qualifications needed to thrive in the No Experience Data Encoder position, and why are they important?

To thrive as a No Experience Data Encoder, you need strong attention to detail, fast and accurate typing skills, and at least a high school diploma or equivalent. Familiarity with basic data entry software such as Microsoft Excel or Google Sheets is helpful, though most employers provide on-the-job training for their specific systems. Being reliable, organized, and able to maintain focus during repetitive tasks are valuable soft skills in this role. These abilities ensure data is entered correctly and efficiently, supporting accurate business operations.

What is a No Experience Data Encoder job?

A No Experience Data Encoder job is an entry-level position where you input, update, and manage data in computer systems or databases. Employers typically provide training, so no prior experience is required. Responsibilities may include typing data from physical documents, verifying accuracy, and organizing records. Basic computer skills, attention to detail, and fast typing speed are usually preferred. This role is common in industries like administration, healthcare, finance, and retail.

What are the most commonly searched types of Data Encoder jobs in Romeoville, IL? The most popular types of Data Encoder jobs in Romeoville, IL are:
What job categories do people searching No Experience Data Encoder jobs in Romeoville, IL look for? The top searched job categories for No Experience Data Encoder jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for No Experience Data Encoder jobs? Cities near Romeoville, IL with the most No Experience Data Encoder job openings:
No Experience Data Encoder jobs near you

Data Scientist I

Tavern Research

Chicago, IL • On-site

$95K - $113K/yr

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago

Job description

Data Scientist I
Location: Chicago, IL
Office: 3 days/week in South Loop office
Reports to: Chief Technology Officer (CTO)
About Tavern Research
Tavern Research is a political tech startup building tools and insights to help our customers win elections and make better, evidence-based decisions. We specialize in scaling expert human work, such as content generation and survey research to support thoughtful, data-driven civic engagement. We're a venture-backed, mission-driven, fast-moving, and mostly technical team focused on supporting campaigns and organizations working to strengthen democratic participation. We are experimental by design and expect every team member to continuously improve how they work using new tools and technology. Everything else is on our website. If you still have questions, let us know when you apply!
About You
You're endlessly curious, adaptable, and detail-obsessed in the best way. You love rolling up your sleeves to wrestle messy data into shape, making it clean, usable, and ready to reveal its secrets. You're excited to learn from seasoned teammates but are also comfortable working independently on well-defined problems from day one.
You thrive in a collaborative, friendly, and nerdy environment where people genuinely love what they do. You chase the thrill of deep focus, appreciate your teammates' brainpower, and hunger for the rush of solving problems no one else has dared to tackle. These are the kinds of challenges that stay with you-in the shower, as you fall asleep, tugging at your brain in the best possible way.
You're interested in politics, and the ways in which public opinion is created and shaped. You understand the power of narratives to shape the world around us, and want to play a part in the high-stakes, real-world battle over hearts and minds.
Most importantly, you bring humility, patience, and a commitment to detail. You bring focus and efficiency to your work, knowing when to go deep and when to ship 'good enough.' You see this role as a chance to sharpen your craft, learn fast, and make a real contribution to high-stakes, real-world problems.
About the role
At Tavern Research, we're building models to understand and influence how people form opinions online. That means taking on problems like tracing how narratives spread through social platforms, or analyzing how different messages land with different audiences. The data is messy, the questions are ambiguous, and the stakes are high.
As a member of the Data Science team, your role is to help make this work possible. You'll dive into raw, noisy datasets to clean, structure, and prepare them for analysis. You'll run exploratory analyses to surface patterns, build features, and support experiments. You'll contribute to modeling tasks end-to-end, helping turn difficult, open-ended questions into tangible, testable results. While you'll collaborate closely with senior modelers, we expect new hires to ramp quickly and take ownership of clearly scoped modeling and data tasks.
From day one, you'll be hands-on with real-world data and problems that matter. You'll have support from senior team members, but you'll also be expected to bring rigor, patience, and persistence to your work. Over time, as your skills deepen, you'll have opportunities to take ownership of increasingly complex modeling projects, building toward the point where you can design and lead experiments yourself.
We value in-person collaboration and expect employees to work regularly from our Chicago office.
Responsibilities
  • Work hands-on with real-world, unstructured data: cleaning, debugging, and engineering features that support effective models.
  • Support the design and execution of numerical experiments by handling data prep, fitting models, and running standard analyses.
  • Contribute to feature engineering and model building, taking ownership of clearly defined components of modeling projects.
  • Write clean, well-documented Python code using standard data science libraries.
  • Assist with model evaluation, diagnostics, and performance monitoring.
  • Collaborate with researchers and engineers to scope and execute tightly defined tasks.
  • Learn and apply best practices and emerging tools in machine learning, AI, and causal inference.

Qualifications
We know it's rare to check every box. If you meet most of these, we encourage you to apply:
  • This role is designed for early-career candidates with 0-3 years of experience or equivalent hands-on project work who are eager to grow into more advanced modeling responsibilities.
  • Strong academic or applied background in data science and software engineering or closely related fields.
  • Experience building statistical models (beyond differential equations or simulations).
  • Demonstrated experience working with messy, real-world datasets.
  • Proficiency in Python and standard data science libraries.
  • Familiarity with AI and machine learning concepts like embeddings, supervised and unsupervised ML methods, and agentic systems
  • Clear understanding of the data science concepts behind work you've done (not just "I ran the code").
  • Strong communication skills and a collaborative mindset
  • Humility, patience, and attention to detail.
  • We especially value candidates who have independently built data or modeling projects outside of coursework, including internships, research, or production data work.
  • Bonus: exposure to model deployment, large language models, or causal inference.

To be explicit: you don't need a degree to work here. You just need to be exceptional at what we're asking from you.
Benefits
  • Premium health insurance
  • Unlimited PTO
  • Office closed for all federal holidays
  • 401k match
  • Equity

Tavern Research is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The pay range for this role is:
95,500 - 113,500 USD per year (Chicago, IL)

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