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

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborates with data scientists, analysts, and business stakeholders to understand data ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborates with data scientists, analysts, and business stakeholders to understand data ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

USM

Data Analyst-----Need GC and USC

Southfield, MI

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 ...

Deloitte

Lead AI and Data Science Engineer II

Detroit, MI · On-site

$101K - $133K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings. * Provide structure and oversight for ...

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All JobsData Analyst JobsJunior Data Analyst JobsJunior Data Analyst Jobs in Rochester, MI

Junior Data Analyst information

See Rochester, MI salary details

$31.8K

$73K

$117.4K

How much do junior data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior data analyst in Rochester, MI is $73,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $75,000.00 per year, depending on experience, location, and employer.

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

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

How to get a job as a junior data analyst with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also improve your chances and demonstrate your abilities to employers.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

More about Junior Data Analyst jobs

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 Junior Data Analyst jobs in Rochester, MI look for?

The top searched job categories for Junior Data Analyst jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Junior Data Analyst jobs?

Cities near Rochester, MI with the most Junior Data Analyst job openings:

Junior Data Analyst jobs near you
Infographic showing various Junior Data Analyst job openings in Rochester, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $73,039 per year, or $35.1 per hour.

Data Engineer

Whisker

Auburn Hills, MI • On-site

$108K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Whisker rating

7.7

Company rating: 7.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

79th of 157 rated electronics manufacturers

Job description

Whisker is redefining what it means to live with cats-designing intelligent systems that remove friction, elevate the everyday, and celebrate the quiet brilliance of feline companionship. Today, Litter-Robot leads the category. Tomorrow, an entire ecosystem that expands what's possible for cats and the people who love them. We believe the future is feline. And we're imagining that future today.
We work onsite 4+ days a week, with our team based in Auburn Hills, Michigan, and Juneau, Wisconsin. Our team of 700+ passionate pet people thrives on collaboration, innovation, and the occasional office cameo from a four-legged friend.
What You'll Do:
We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision-making across the organization. This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment.
Summary:
The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This role ensures data is reliable, secure, and readily accessible to support analytics, reporting, and machine learning initiatives.
Essential Duties and Responsibilities
  • Designs, builds and maintains scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake
  • Develops and optimizes data workflows for batch and streaming data processing
  • Architects and implements data lakehouse solutions following medallion architecture (bronze/silver/gold layers using DBT)
  • Collaborates with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
  • Writes efficient, well-documented PySpark/SQL code for data transformation and processing
  • Develops and supports MLOps workflows, including model tracking, versioning, and lifecycle management using MLflow
  • Builds and maintains CI/CD pipelines for both data engineering and machine learning model deployment
  • Implements monitoring and alerting for data pipelines and ML models to proactively identify and troubleshoot performance issues, data drift, and failures
  • Monitors, troubleshoots, and optimizes pipeline and model performance, resource utilization, and cost efficiency within Databricks
  • Ensures data quality, integrity, and governance across all pipelines and datasets
  • Manages and optimizes Databricks clusters, jobs, and workflows
  • Integrates Databricks with cloud platforms (Azure, AWS, or Google Cloud Platform) and other enterprise systems
  • Implements data security best practices, including access controls and data masking
  • Mentors junior data engineers and provide technical guidance on best practices, including MLOps standards
  • Participates in architecture reviews and contribute to the evolution of the data and ML platform strategy
  • Documents technical designs, data models, pipeline processes, and ML deployment workflows
  • Stays current with emerging tools, technologies, and best practices in data engineering and MLOps
  • Performs additional responsibilities when required

Requirements
What You'll Bring:
  • BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent years of experience
  • 8+ years of professional software engineering experience, including 3+ years directly managing engineers with ownership of hiring, performance, and career development
  • Demonstrated success leading backend service teams at consumer scale with distributed services and APIs supporting a large installed base of application users or devices
  • Expertise in API design and service architecture, including versioning and backward compatibility for clients that cannot all be upgraded at once
  • Experience with high-volume data ingestion and event-driven architecture (Kafka, Kinesis, or equivalent), including the pipelines that feed analytics and machine learning
  • A track record of driving measurable reliability improvement - fewer or less severe incidents, improved uptime, a healthier on-call practice, or materially more stable deployments
  • Experience leading distributed teams across multiple time zones, including blended teams of full-time employees and contractors or outsourced partners
  • Experience inheriting an existing team and improving retention, role clarity, and delivery predictability
  • Proven ability to recruit, level, and develop engineers, including promoting individual contributors into senior and lead roles
  • Current technical credibility: able to review code, lead architecture discussions, and prototype solutions independently.
  • Working experience with AWS infrastructure and the ability to own cloud architecture, cost, and capacity decisions for the services their team runs.
  • Familiarity with platform engineering practice such as infrastructure as code, CI/CD pipelines, containerization or serverless deployment models, and observability tooling sufficient to set direction and hold quality standards
  • Ability to work a hybrid schedule based out of Whisker's Auburn Hills, Michigan headquarters
  • Maintains confidentiality of proprietary information
  • Ability to maintain a professional atmosphere in a fast-paced environment with numerous interactions and interruptions
  • A high degree of initiative, self-motivation, and ability to motivate others
  • Ability to establish and maintain cooperative working relationships with Team Members and colleagues
  • Comfortable with office pets (cats, dogs)

Not Required but Nice to Have!
  • Strongly preferred experience with IoT or connected-device platforms, device telemetry, fleet management, over-the-air updates, MQTT or similar protocols
  • Background at a consumer hardware or connected-product company where software ships alongside physical product
  • Experience managing the firmware-to-cloud boundary and hardware-dependent release trains, including field failure analysis
  • Deeper platform or SRE background such as Kubernetes, ECS, Terraform, or equivalent at production scale
  • Experience with GraphQL and API gateway patterns
  • Experience with time-series or purpose-built IoT data stores
  • Experience transitioning a contractor-heavy team toward a stronger full-time core without disrupting delivery
  • Experience in a direct-to-consumer or subscription business
  • Prior Director of Engineering experience is welcome - this role owns a broad scope across several service domains

Benefits & Purrks:
Join a tenacious, inventive company that empowers team members to chart their own path, lead by grounding decisions in the "why", and has a strong sense of empathy and openness to new perspectives. Be a part of exciting growth, work with incredible people, and create tomorrow's pet products-plus a whole lot of extras. You will also be provided with:
  • Premium Medical/Dental/Vision insurance
  • Paid parental leave
  • Whisker Parents Program
  • 1 day "pawternity" leave for new pet adoption
  • Pet Insurance Discount
  • 401K match
  • Flexible spending accounts
  • Company-paid short-term disability and life insurance
  • Employee Assistance Program (EAP)
  • Generous paid time off
  • 14 Paid Holidays
  • Top of the line equipment
  • Pet-friendly office
  • Whisker products and swag
  • Continuing education Support
  • On-site gym with Peloton
  • Referral program

Statement of Inclusivity:
We believe different perspectives make Whisker better and strive to create a place where everyone has equal opportunities to thrive.
Please ensure to regularly check your email spam folder for any communication from Whisker to avoid missing important updates regarding your application status.

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