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New Grad Data Analyst Jobs in Michigan (NOW HIRING)

... uncover new growth opportunities. Key Responsibilities: Reporting, Dashboard Development ... tools-to collect, analyze, interpret, and visualize data. * Ensure reporting accuracy ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage ... Jersey City, NJ - Hybrid Responsibilities Analytical * Conduct exploratory analyses to uncover ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage ... Jersey City, NJ - Hybrid Responsibilities Analytical * Conduct exploratory analyses to uncover ...

Sr. Data Analyst-Materials Management

Farmington Hills, MI · On-site

$84K - $106K/yr

Lead data analysis using Microsoft Access, Excel, and other tools to support corporate initiatives ... Develop new metrics, mathematical models, and analytical tools supporting logistics, supplier ...

New Grad Registered Nurse Hours: PRN, Day or Night Shift - 7am to 7pm or 7pm to 7am Compensation ... As requested, the RNs will participate in data collection and documentation audits to assist the ...

Data Analyst Southfield, MI 6+ Months Need GC and USC we're looking for candidates with 3-5+ years ... Conducts research into new data warehouse applications and determines viability for adoption.

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New Grad Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do new grad data analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for new grad data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

For a New Grad Data Analyst, starting a career in data science at age 30 is not too late. Many professionals transition into data science later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What is a New Grad Data Analyst job?

A New Grad Data Analyst is an entry-level role for recent graduates who analyze data to help organizations make informed decisions. They work with datasets, clean and visualize data, and generate insights using tools like SQL, Python, Excel, and Tableau. These analysts collaborate with teams to solve business problems and improve processes. The role provides opportunities to develop technical skills and gain experience in data-driven decision-making.

What are the key skills and qualifications needed to thrive in the New Grad Data Analyst position, and why are they important?

To thrive as a New Grad Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, usually supported by a degree in a quantitative field. Familiarity with technical tools like SQL, Excel, Python or R, and data visualization software such as Tableau or Power BI is highly valued. Strong communication skills, attention to detail, and a proactive willingness to learn help new grads excel in collaborative, data-driven environments. These skills are crucial because they enable you to effectively turn data into actionable insights and contribute to informed business decisions.

How do you become a data analyst with no experience?

To become a new grad data analyst with no experience, focus on developing skills in data analysis tools like Excel, SQL, and Python, and build a portfolio of projects to demonstrate your abilities. Completing relevant coursework, certifications, or internships can also help establish your qualifications for entry-level roles.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the need for data analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which currently require human judgment and expertise. Skills in tools like SQL, Excel, and data visualization remain important for the role.

What are the typical daily responsibilities for a New Grad Data Analyst?

As a New Grad Data Analyst, your daily responsibilities may include gathering and cleaning raw data, running analyses to identify trends or patterns, and generating reports or dashboards to share your findings. You’ll often work closely with other analysts, team leads, or business stakeholders to understand their data needs and help translate business questions into analytical solutions. Expect regular collaboration in meetings, presentations of your insights, and the opportunity to get hands-on practice with various data tools. Over time, you may also participate in larger projects or support process improvements based on your analyses.

What jobs pay 200,000 a year in the USA?

For a New Grad Data Analyst, reaching a $200,000 annual salary typically requires several years of experience, advanced skills in data modeling, machine learning, or analytics tools, and often a role in high-paying industries like finance, technology, or consulting. Entry-level positions usually start lower, but with career progression, specialization, and sometimes additional certifications, higher salaries become attainable.
What are popular job titles related to New Grad Data Analyst jobs in Michigan? For New Grad Data Analyst jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for New Grad Data Analyst jobs? Cities in Michigan with the most New Grad Data Analyst job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 hours ago


Job description

Established in 2021,Independence Pet Holdingsis a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.

We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.

PetPlace, a subsidiary of IPH, is building a digital first pet e-commerce platform with the aim of connecting key market services such as adoption, lost pet reunification, and insurance to make pet care easy.

Position Summary

PetPlace is seeking a detailoriented Marketing Data Analyst to enable datadriven decisionmaking across the organization. This role is responsible for building reporting, developing dashboards, automating recurring reports, and compiling and analyzing large data sets to draw meaningful, actionable conclusions. You will analyze marketing, website, and sales performance and translate complex data into clear insights that improve customer acquisition, engagement, revenue, and ROI.

You, along with another Marketing Data Analyst, will partner closely with marketing, sales, product, finance, and leadership teams to measure campaign effectiveness, understand business performance, optimize revenue channels, enhance attribution, and uncover new growth opportunities.

Key Responsibilities:

Reporting, Dashboard Development & Auitomation

  • Develop, automate, and maintain dashboards, KPIs, and recurring performance reports for websites, campaigns, funnels, and business metrics.
  • Utilize analytics tools and platforms-Google Analytics (GA4), Power BI, Looker Studio, Snowflake, Excel, and campaign management tools-to collect, analyze, interpret, and visualize data.
  • Ensure reporting accuracy, documentation, and data quality across systems.

Marketing, Website & Business Performance Analysis

  • Track, analyze, and report on multichannel marketing and website performance (e.g., display, paid search, paid social, email, social) to identify trends and optimization opportunities.
  • Evaluate customer behavior, sales performance, and lifecycle engagement to improve acquisition, retention, LTV, and customer satisfaction.
  • Analyze business health and revenue drivers across key segments (e.g., species, buyer type, order type, product category).Support the reporting and analysis of A/B and multivariate tests to measure the impact of marketing and website changes, and communicate clear, actionable optimization recommendations to stakeholders.
  • Leverage internal and external datasets to identify pricing, category, audience, and channel opportunities.
  • Collaborate across teams to assess campaign performance and drive audience and revenue growth on platforms including Google Ads, Meta Ads, Bing, and TikTok Ads.
  • Respond to adhoc analytical requests with accuracy, speed, and strong business context.

Forecasting, Attribution & Customer Experience Insights

  • Collaborate with Finance to measure and forecast the financial impact of marketing, sales, and business strategies.
  • Support ongoing enhancement of channel attribution models and crosschannel measurement methodologies.
  • Partner with Customer Experience and Integrated Marketing teams to analyze the endtoend customer journey and identify friction points across ordering, fulfillment, and postpurchase touchpoints.
  • Develop reporting and dashboards that monitor customer sentiment, engagement metrics, satisfaction drivers, and support ticket trends-surfacing insights that improve retention and overall customer experience.

Data Quality, Process Improvement & AI Enablement

  • Identify and resolve data quality issues and inconsistencies across source systems.
  • Recommend improvements to analytics tools, methodologies, and processes to strengthen the organization's analytical capabilities.
  • Leverage AIpowered tools and workflows to improve efficiency, automate manual tasks, and expand insight capabilities.

Qualifications

  • Bachelor's degree in marketing, business, statistics/analytics or related field required
  • 3+ years of work experience in marketing research, statistical or data analysis
  • Experience in the insurance industry is highly desirable.
  • Experience growing revenues and measuring media impact metrics required
  • Excellent digital aptitude, significant familiarity with ad ops technology, and affiliate tracking and management tools.
  • Excellent organizational, communication, presentation and analytical skills
  • Must have skills/experience: advanced MS Excel, Google Analytics, presenting analytical findings.
  • Demonstrated understanding of marketing and web KPIs (CTR, ROI, CVR, CAC, MAU) preferred
  • Proven ability in handling concurrent projects with attention to detail and accuracy

#LI-DNI

#petplace

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

  • Comprehensive full medical, dental and vision Insurance
  • Basic Life Insurance at no cost to the employee
  • Company paid short-term and long-term disability
  • 12 weeks of 100% paid Parental Leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal Paid Time Off
  • Paid holidays and company-wide Wellness Day off
  • Paid time off to volunteer at nonprofit organizations
  • Pet friendly office environment
  • Commuter Benefits
  • Group Pet Insurance
  • On the job training and skills development
  • Employee Assistance Program (EAP)