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Remote C2C Data Analyst information

What are the key skills and qualifications needed to thrive as a Remote C2C Data Analyst, and why are they important?

To thrive as a Remote C2C Data Analyst, you need strong analytical skills, proficiency in data modeling, and a relevant degree in fields like statistics, mathematics, or computer science. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms (e.g., Tableau or Power BI), as well as experience in C2C (Corp-to-Corp) contracting environments, is typically required. Exceptional attention to detail, independent problem-solving, and effective remote communication are essential soft skills in this role. These skills ensure accurate data insights, efficient remote collaboration, and successful project outcomes in a flexible, contract-based work environment.

What are some common challenges faced by Remote C2C Data Analysts, and how can they be managed effectively?

Remote C2C Data Analysts often encounter challenges such as managing time zone differences with clients or teams, maintaining clear communication, and ensuring data security when working with sensitive information. To address these, it's important to establish regular check-ins, use collaborative tools for data sharing and project management, and adhere to best practices for secure data handling. Building strong relationships through proactive communication and setting clear expectations can help ensure project success and a positive remote work experience.

What is a Remote C2C Data Analyst?

A Remote C2C Data Analyst is a professional who analyzes and interprets data for organizations while working remotely (from home or another location) and is hired under a 'Corp-to-Corp' (C2C) arrangement. In a C2C setup, the analyst works as a contractor through their own corporation or a third-party consulting firm, rather than as a direct employee. Their main responsibilities include collecting, cleaning, and analyzing data to provide actionable insights, often using tools like SQL, Excel, and data visualization platforms. This role offers flexibility in work location and is common in industries that handle large volumes of data and value specialized, contract-based expertise.

What is the difference between Remote C2C Data Analyst vs Remote Contract Data Analyst?

AspectRemote C2C Data AnalystRemote Contract Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often requires certifications like Microsoft Excel, SQL, or TableauSimilar credentials; certifications are a plus but not always mandatory
Work EnvironmentIndependent contractor working on a client-by-client basis, often remotelyContract-based role, typically remote, with a fixed project duration
Employer & Industry UsageUsed by consulting firms, agencies, and companies hiring on a C2C basisCommon in industries like finance, healthcare, and marketing for project-specific work

Both roles involve data analysis skills and remote work, but the Remote C2C Data Analyst typically operates as an independent contractor under a C2C agreement, while the Remote Contract Data Analyst works on short-term projects under a fixed-term contract. The choice depends on your preferred work arrangement and client engagement style.

What are the most commonly searched types of C2C Data Analyst jobs in Minnesota? The most popular types of C2C Data Analyst jobs in Minnesota are:
What are popular job titles related to Remote C2C Data Analyst jobs in Minnesota? For Remote C2C Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote C2C Data Analyst jobs in Minnesota look for? The top searched job categories for Remote C2C Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Remote C2C Data Analyst jobs? Cities in Minnesota with the most Remote C2C Data Analyst job openings:
Remote C2C Data Analyst jobs near you

HR Data Analyst, Talent Analytics

LivaNova

Minneapolis, MN • Remote

$90K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

POSITION SUMMARY:

The HR Data Analyst, Talent Analytics will carry out overall strategy for employee data at LivaNova to support the need for data-driven decision-making regarding workforce productivity, engagement and better returns from recruitment and learning investments in the company.

KEY RESPONSIBILITIES:

  • Compile, structure, and analyze data from HRIS, payroll and Finance systems to develop insights and conclusions that help streamline HR processes throughout the company.

  • Work with the full data analysis pipeline including data cleaning, process documentation, and communicating results via report writing and visualization.

  • Participate actively in HR Business Intelligence including project intake, visualization tools, quality assurance, and storytelling. Interpret employee data to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research.

  • Identify statistical analysis techniques required to deliver insights.

  • Advance the use of complex analytical techniques and statistical thinking.

  • Design and implement data models using statistical principles (e.g., regression, correlation) and develop predictive models for attrition, performance, and recruiting demand.

  • Produce concise, story-driven presentations to communicate analytic insights.

  • Collect and share information on government labor statistics and external benchmarks.

  • Continually analyze competitor practices to make appropriate recommendations to upper management.

  • Partner with HR leaders to design research plans, develop hypotheses, collect data, and run various statistical models.

  • Help recruiters by providing relevant data, statistics, trends, and patterns to make the recruiting process more efficient. Similar for talent development, total rewards and employee experience (e.g. retention) practices.

  • Collaborate with subject matter experts across the HR service areas (e.g. Talent Development, Total Rewards and Talent Acquisition), as well as HR leadership, to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.

  • Work with the HR business partner for organizational development (e.g. organization levels, structure, teams, span of control) and partner with colleagues and customers to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve HR output.

  • Educate the HR team on analytical findings, general data and data management best practices.

  • Interact with professional and community groups related to analytics and business intelligence and maintain strong internal and external networks of peers to stay always ahead of the curve.

ESSENTIAL KNOWLEDGE & EXPERIENCE:

  • Master's degree in Data Science, Computer Science, Business Analytics or closely related field

  • 1 year of experience as a Human Resources Analyst or HR Data Analyst

  • The Master's degree program must have included courses in Data Mining, Data-Driven Quality Management, Analytical Decision Modeling and provided technical hands-on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting and software experience with R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models.

Pay Transparency:A reasonable estimate of the annual base salary for this position is $90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.

Employee benefits include:

Health benefits - Medical, Dental, Vision

Personal and Vacation Time

Retirement & Savings Plan (401K)

Employee Stock Purchase Plan

Training & Education Assistance

Bonus Referral Program

Service Awards

Employee Recognition Program

Flexible Work Schedules

#LI-Remote

Welcome to impact. Welcome to innovation. Welcome to your new life.

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