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Home Based Cancer Data Analyst Jobs in Wisconsin

WI · On-site

$110 - $170/hr

About This Role We're hiring a Senior Data Analyst to support our People organization , using data ... This is a full‑time, flexible hybrid position based out of our Oakland, CA or NYC, NY office. Our ...

New

WI · On-site

$120 - $190/hr

... pioneered analytics engineering, helping teams transform data into reliable, governed insights ... This is a full-time, flexible hybrid position based out of our Oakland, CA office. Our hybrid work ...

WI · On-site

$90 - $120/hr

This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a ... Direct experience working with BI, analytics, data infrastructure, or modern data stack products.

New

WI · On-site

$70 - $90/hr

De Business & Data Analist is de schakel tussen enerzijds sales, operations, , finance en ... Werkregime: Full-time + mogelijkheid tot 1 dag home office * Locatie: Kattendijkdok Oostkaai 5 te ...

New

Showing results 21-40

Home Based Cancer Data Analyst information

What is a home based cancer data analyst?

A Home Based Cancer Data Analyst is a professional who works remotely to collect, analyze, and interpret cancer-related data. They typically work with hospitals, cancer registries, or research organizations to ensure accurate reporting and analysis of cancer cases. Their responsibilities may include maintaining databases, ensuring data quality, and generating statistical reports to support cancer research and public health initiatives. This role requires strong analytical skills, attention to detail, and knowledge of medical terminology and cancer classification systems. Working from home, they use specialized software to securely manage sensitive health information.

What are the key skills and qualifications needed to thrive as a home based cancer data analyst?

To thrive as a Home Based Cancer Data Analyst, you need a solid background in health data analysis, epidemiology, and familiarity with cancer registry standards, typically supported by a degree in health information management, public health, or a related field. Proficiency in data management systems such as SEER*DMS, CanReg, and statistical tools like SAS or SPSS, along with relevant certifications (e.g., Certified Tumor Registrar), is often required. Strong attention to detail, analytical thinking, and effective remote communication skills help ensure accuracy and collaboration with healthcare teams. These skills are crucial for maintaining high-quality cancer data, supporting research, and informing public health decisions from a remote setting.

What are some common challenges faced by home based cancer data analysts, and how can they be managed effectively?

Home-based cancer data analysts often encounter challenges such as maintaining data security, staying updated with complex reporting standards, and feeling isolated from the broader healthcare team. To manage these, it’s important to establish secure remote access protocols, participate in ongoing virtual training, and communicate regularly with colleagues through video calls and collaborative platforms. Proactively engaging with professional networks and seeking feedback can also help analysts stay connected and ensure high-quality data analysis.

What cities in Wisconsin are hiring for Home Based Cancer Data Analyst jobs?

Cities in Wisconsin with the most Home Based Cancer Data Analyst job openings:

Full-time

Re-posted 24 days ago


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.
The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.
*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*
Minimum Qualifications:
  • Bachelor Degree
  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:
  • Relational database experience & Experience query databases (ex: SQL, MySql).
  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).
  • Experience with statistical analysis languages (ex: R, Python, SQL).
  • Experience on using the cloud platform (ex Azure, AWS..)
  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:
  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases
  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
  • Translating business requirements; informing data/information needs and data collection methods
  • Create custom data models & create pipelines and algorithms as needed & produce Data insights
  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
  • Supporting end-users; and documenting processes and deliverables
  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:
  • Ability to write complex SQL queries, data visualization
  • Proficiency in database applications and MS Office with excellent Excel skills.
  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.
  • Ability to simplify complex findings to develop unique, practical solutions.
  • Able to understand various data structures and common methods in data transformation.
  • Excellent pattern recognition and predictive modeling skills.
  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.
  • Self-motivated and able to work with minimal direction

#LI-BB1
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."