1

Online Data Analyst Jobs in Rochester, MI (NOW HIRING)

About this opportunity The Mortgage Servicing Data Analyst is responsible for analyzing mortgage servicing data, identifying trends, supporting operational reporting, improving portfolio performance ...

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with ...

New

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

... online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required Qualifications: * Experience working with big data in a cloud environment , particularly Azure and Databricks

Data Analyst Southfield, MI 6+ Months Need GC and USC we're looking for candidates with 3-5+ years of experience. Top 3 skills: Experience writing complex SQL queries Data warehousing concepts Health ...

next page

Showing results 1-20

Online Data Analyst information

See Rochester, MI salary details

$31.3K

$76.1K

$125.2K

How much do online data analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for online data analyst in Rochester, MI is $76,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

Can I work online as a data analyst?

Yes, online data analyst roles are common and involve analyzing data sets, creating reports, and using tools like Excel, SQL, or Python. These positions often require strong analytical skills and may offer flexible schedules, making remote work a viable option for qualified candidates.

What are the key skills and qualifications needed to thrive as an Online Data Analyst, and why are they important?

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Excel, Python, and data visualization platforms like Tableau is commonly required, along with certifications in analytics or data science. Attention to detail, problem-solving ability, and effective communication are vital soft skills for translating data insights to stakeholders. These skills ensure accurate data-driven decision-making and effective communication of trends and recommendations to support business goals.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, making strategic recommendations, and understanding business context, which AI cannot fully replicate. Data analysts will continue to be essential for designing analyses, validating results, and providing insights that require human judgment and domain expertise.

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

Online Data Analysts often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and meeting tight deadlines for reporting. Addressing these requires strong attention to detail, proficiency with analytical tools (like SQL, Python, or Excel), and effective time management skills. Collaborating closely with data engineers and stakeholders also helps clarify requirements and ensures the analysis aligns with business objectives. Regular training and staying updated with the latest data analysis techniques can further help overcome these challenges.

What are online data analysts?

Online data analysts are professionals who collect, process, and interpret data from digital sources to help organizations make informed decisions. They use various analytical tools and techniques to identify patterns, trends, and insights from large datasets. Their work often involves cleaning and organizing data, creating reports, and presenting findings to stakeholders. Online data analysts play a crucial role in improving business strategies, marketing efforts, and operational efficiency.

Is 40 too late for data science?

For an online data analyst role, age is generally not a barrier; many professionals transition into data science or related fields later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and building a strong portfolio can help late entrants establish themselves in the field.

What is the difference between Online Data Analyst vs Data Scientist?

AspectOnline Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; proficiency in Excel, SQL, and data visualization toolsBachelor's or master's degree in computer science, statistics, or related; knowledge of programming languages like Python or R
Work EnvironmentRemote or office-based; primarily focused on data reporting and analysisOften in research or tech companies; involved in complex data modeling and predictive analytics
Employer & Industry UsageBusiness, marketing, e-commerce, and retail sectorsTechnology, finance, healthcare, and research sectors

Online Data Analysts focus on interpreting data, creating reports, and supporting decision-making with existing data sets. Data Scientists build models, develop algorithms, and perform advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise and handle more complex data projects.

How to become an online data analyst?

To become an online data analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or computer science. Developing skills in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with understanding data visualization, is essential. Gaining relevant certifications and experience through projects or internships can also improve job prospects.
What are the most commonly searched types of Data Analyst jobs in Rochester, MI? The most popular types of Data Analyst jobs in Rochester, MI are:
What job categories do people searching Online Data Analyst jobs in Rochester, MI look for? The top searched job categories for Online Data Analyst jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Online Data Analyst jobs? Cities near Rochester, MI with the most Online Data Analyst job openings:
Infographic showing various Online Data Analyst job openings in Rochester, MI as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $76,066 per year, or $36.6 per hour.

Data Analyst II - Remote Position

Trinityhealth

Livonia, MI • Remote

Full-time

Re-posted 12 days ago


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.