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Remote Ili Data Analyst Jobs in Michigan (NOW HIRING)

Job Title IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote (Open) Location ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

$39.50 - $54.50/hr

Job Title Business Solutions Analyst III (Guidewire) - Remote Requisition Number R7695 Business ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

We are seeking an experienced Remote B2B Collections Analyst to manage a portfolio of commercial ... Advanced Excel skills including reporting and data analysis. Pay Details: $26.00 to $31.00 per hour ...

We are seeking an experienced Remote B2B Collections Analyst to manage a portfolio of commercial ... Advanced Excel skills including reporting and data analysis. Pay Details: $26.00 to $31.00 per hour ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

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Remote Ili Data Analyst information

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science. Many professionals successfully switch careers or start new roles at 40 or older by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Employers value experience and skills, making it possible to enter data science at any age with proper training and a strong portfolio.

Can you work fully remote as a data analyst?

Yes, many data analyst roles, including remote Ili Data Analyst positions, are fully remote, allowing employees to work from anywhere with internet access. These roles often require proficiency in data analysis tools like Excel, SQL, or Python, and good communication skills for remote collaboration.

What is the difference between Remote Ili Data Analyst vs Remote Ili Data Scientist?

AspectRemote Ili Data AnalystRemote Ili Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in data analysis toolsBachelor's or higher in Data Science, Computer Science, or related; often advanced certifications or degrees
Work EnvironmentRemote, collaborative teams, focus on data reporting and visualizationRemote, research-driven, focus on developing models and algorithms
Employer & Industry UsageUsed across finance, healthcare, marketing for data reportingUsed in tech, research, AI development for predictive modeling

Remote Ili Data Analysts primarily focus on interpreting data, creating reports, and visualizations, while Remote Ili Data Scientists develop complex models and algorithms. Both roles are remote and require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

What are some common challenges faced by Remote Ili Data Analysts and how can they be addressed?

Remote Ili Data Analysts often encounter challenges such as limited access to on-site data sources, communication barriers with on-site teams, and managing large, complex data sets from a distance. These can be addressed by establishing clear data-sharing protocols, leveraging collaboration tools like video conferencing and project management platforms, and maintaining regular communication with both data providers and stakeholders. Proactively seeking feedback and clarifying data requirements early in a project can also help ensure data accuracy and project success in a remote setting.

What is a Remote ILI Data Analyst?

A Remote ILI Data Analyst is a professional who analyzes data from Inline Inspection (ILI) tools used to assess the condition of pipelines. Working remotely, they review and interpret large datasets to detect anomalies, such as corrosion or cracks, and help ensure pipeline safety and integrity. Their work supports energy companies in maintaining regulatory compliance and preventing leaks or failures. The position requires strong analytical skills, familiarity with pipeline inspection technology, and expertise with data processing software.

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

To thrive as a Remote Ili Data Analyst, you need strong analytical abilities, a solid grasp of data interpretation, and proficiency in statistics, often backed by a degree in data science, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent problem-solving, communication, and self-motivation are essential soft skills for collaborating remotely and delivering actionable insights. These skills ensure accurate analysis, clear data-driven recommendations, and effective teamwork in a virtual work environment.

What is an Ili data analyst?

An Ili data analyst is a professional responsible for collecting, analyzing, and interpreting data to support decision-making within the organization. They often use tools like Excel, SQL, or data visualization software and may work remotely or in a team environment. Strong analytical skills and attention to detail are essential for this role.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often offer flexible schedules and the ability to work from anywhere with an internet connection.
What are the most commonly searched types of Ili Data Analyst jobs in Michigan? The most popular types of Ili Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Remote Ili Data Analyst jobs? Cities in Michigan with the most Remote Ili Data Analyst job openings:
Infographic showing various Remote Ili Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Analyst II - Remote Position

Trinityhealth

Livonia, MI • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Employment Type:Full timeShift:Day ShiftDescription:POSITION PURPOSE

The Data Analyst (II) provides business intelligence support to various department leaders in providing technical and analytic support for strategic and healthcare initiatives within Trinity Health. Applies statistical techniques and quantitative methods in reviewing data to develop scorecards, benchmarking studies, or integrated ad hoc analyses. Contributes to and participates with other teams such as but not limited to: Health Informatics, Trinity Information Services, Supply Chain, Revenue and Finance as needed to provide insights for strategic initiatives to leaders across the healthcare system.

This role supports and manages analytic design, data collection, and measure reporting in accordance with national and professional society standards and supports various healthcare initiatives aligned with organizational goals. Develops analytical and statistical skill set to research and make recommendations on business problems and to develop and implement data driven strategies to support key initiatives. In addition to advanced analytics skills, the Data Analyst (II) role requires knowledge in integrating and preparing large complex datasets from multiple data sources, consolidating them to draw contextual conclusions, and communicating results with healthcare and operational stakeholders, including mid-level management. This role also requires the application of project management concepts in the analytics life-cycle process.

ESSENTIAL FUNCTIONS

Knows, understands, incorporates and demonstrates the Trinity Health Mission, Vision, and Values in behaviors, practices and decisions.

Serves as a subject matter expert by providing analytic consultation in collaboration with other team members (clinical leaders, project managers, other analysts, etc.) in identifying analytics options and opportunities and providing problem solving solutions in support of the project goals.

Responsible for a moderate number of projects that are narrow in scope and moderate complexity including:

  • Reviewing and modifying existing systems including coding, testing, debugging, and documentation
  • Responsibility for the checks for validity and reproducibility of analyses
  • Maintaining routine reporting and ensuring completeness and accuracy of reports
  • Supporting the design and development of datasets from multiple data sources

Researches measure definitions, algorithms, published journal articles and statistical methods to make appropriate recommendations to support organizational goals.

Develops queries to source high-volume, high-dimensionality data from multiple complex databases. Cleans and manipulates data as appropriate for report generation, dashboard creation, or simple to moderately complex statistical analysis.

Regularly monitors performance of many key performance indicators, highlights trends, examines interactions in metrics, and identifies opportunities for improvements to leaders and stakeholders.

Develops portions of presentations, publications, website postings, and applications in collaborations with other stakeholders.

Draws strategic and tactical conclusions from data analyses through summarization, interpretation, and visualization of data so to make recommendations to clinical leadership in an easy-to-understand communication format.

Builds strong relationships internally and collaborates effectively on cross-functional teams. Collaborates with members of various other departments, for example (Supply Chain, Revenue and Finance) to develop integrated ad hoc analyses aligned with organizational goals.

Develops trusted relationships through efficient, high-quality execution of analyses and effective communication regarding expectations and timelines.

Provides technical and operational guidance and direction to Level I Data Analysts and collaboratively works with Senior Healthcare Data Analysts during consultations and presentations.

Works in partnership with Trinity Information Services and other technology teams in support of development and maintenance of data applications, clinical databases, and vendor systems containing clinical content.

Other duties as needed and assigned by the Director, Healthcare Data and Analytics.

Maintains a working knowledge of applicable Federal, State, and local laws and regulations, Trinity Health's Organizational Integrity Program, Standards of Conduct, as well as other policies and procedures in order to ensure adherence in a manner that reflects honest, ethical, and professional behavior.

MINIMUM QUALIFICATIONS

Must possess a comprehensive knowledge of data and analytics as normally obtained through a master's degree in Health Science, Epidemiology, Computer Science, Statistics, Mathematics, Engineering, or other technical concentration, and three to five (3-5) years of relevant operational, technical, healthcare or clinical data analytics experience; or an equivalent combination of education and experience.

Must possess excellent oral and written communication and presentation skills.

Must be well organized and possess the ability to work with minimal supervision, which includes setting one's own priorities and actively seeking direction in case of conflict.

Must be able to make decisions based on logical thinking and ethical principles.

Comprehensive knowledge of quality improvement principles, theory, study design and statistical modeling and possess and ability to continuously learn in these areas.

Advanced Microsoft Office skills required, particularly in Excel.

Proficient working with data in the capacity of a programmer.

Proficiency in statistical or analytic software systems such as SAS, R, SPSS, etc.

Experience with relational databases and general programming languages (SQL or Python).

Experience with various data reporting and visualization software (Tableau, Qlikview, Business Objects, etc.)

Excellent interpersonal skills to foster collaborative partnerships using a team approach to span traditional boundaries within a healthcare setting.

Must be comfortable operating in a collaborative, shared leadership environment.

Must possess a personal presence that is characterized by a sense of honesty, integrity, and caring with the ability to inspire and motivate others to promote the philosophy, mission, vision, goals, and values of Trinity Health.

PHYSICAL AND MENTAL REQUIREMENTS AND WORKING CONDITIONS

Must be able to set and organize own work priorities and adapt to them as they change frequently. Must be able to work concurrently on a variety of tasks/projects in an environment that may be stressful with individuals having diverse personalities and work styles.

Must possess the ability to comply with Trinity Health policies and procedures.

Pay Range- $86,175- $129,263

Our Commitment

Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.