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Weekend Data Analyst Jobs in Rochester Hills, MI

Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key Responsibilities * Define reporting strategies and requirements through collaboration with GPSC leadership and ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and ...

Data Analyst LOCATION: Auburn Hills, Michigan JOB TYPE: Full-Time JOB SUMMARY Commercial Contracting Corporation (CCC) is seeking a Data Analyst to support the organization's reporting, analytics ...

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Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key Responsibilities * Partner with business subject matter experts to gather and document analytical requirements

As a 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 our ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to lead discussions with internal and external customers. * Must be able to take charge and drive results ...

... for analyzing programs, processes, and procedures to extract, transform, integrate, and load data into data systems (Interface testing, debugging and implementation) Knowledge of data system ...

Supplier Consultant - Automotive Data Analyst Location: Dearborn, MI 48126 (hybrid schedule) Area Code: 313 Pay Rate: $30.00-40.00 per hour Shift: 1st Shift Employment Type: Direct/W2 Belcan is ...

Snowflake Data Analyst

Detroit, MI · On-site

$45 - $55/hr

We are seeking a Snowflake Data Analyst to support data analysis, reporting, and business intelligence initiatives using the Snowflake platform. The ideal candidate will have strong SQL skills ...

The Commercial Analytics team is looking for a Business and Data Analyst to join our team. Your mission is to build and scale trusted data products that power performance measurement across sales ...

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

The Commercial Analytics team is looking for a Business and Data Analyst to join our team. Your mission is to build and scale trusted data products that power performance measurement across sales ...

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Join Masco Corporation in Livonia, MI, as a Procurement COE Data Analyst and be a pivotal part of our Procurement Center of Excellence! You'll play a crucial role in improving procurement performance ...

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role ...

Role: Jr. Data Analyst Location: Warren, MI (Hybrid) Duration: 1 year Rate: Market Need local to MI Key Responsibilities: * Develop and maintain daily, weekly, monthly, and quarterly KPI performance ...

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Weekend Data Analyst information

See Rochester Hills, MI salary details

$31.3K

$76.1K

$125.2K

How much do weekend data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for weekend data analyst in Rochester Hills, 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.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
What are the most commonly searched types of Data Analyst jobs in Rochester Hills, MI? The most popular types of Data Analyst jobs in Rochester Hills, MI are:
What are popular job titles related to Weekend Data Analyst jobs in Rochester Hills, MI? For Weekend Data Analyst jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Rochester Hills, MI look for? The top searched job categories for Weekend Data Analyst jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Weekend Data Analyst jobs? Cities near Rochester Hills, MI with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Rochester Hills, MI as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $76,066 per year, or $36.6 per hour.
Data Analyst

Data Analyst

Tech Tammina LLC

Warren, MI • On-site

Other

Posted 6 days ago


Job description

Role: Data Analyst

Location: Warren, MI (Hybrid)

Duration: Long term
Rate: Market

Key Responsibilities

  • Define reporting strategies and requirements through collaboration with GPSC leadership and stakeholders
  • Develop and deliver standardized and ad hoc dashboards, reports, and performance analytics (budget-focused)
  • Analyze structured and unstructured data to extract insights for business decision-making
  • Lead cross-functional innovation projects and contribute to the deployment of integrated business intelligence solutions
  • Serve as a key contributor to GPSC systems, specifically GSM (Global Sourcing Management) and MPR (Material Performance Reporting)
  • Manage distribution of critical budget files on a weekly/monthly basis and support ongoing budget planning efforts
  • Facilitate business and IT alignment by defining system requirements, enhancements, and training needs
  • Provide timely and accurate responses to purchasing-related requests involving data and system functionality

Required Qualifications

  • Minimum of 5 years of relevant data analysis or business intelligence experience
  • Bachelor's degree in Business, Data Analytics, Information Systems, or a related technical discipline
  • Proficient in Power BI and SQL for data modeling, transformation, and visualization
  • Experience with data platforms such as SQL Server, Oracle, MS Access, and reporting tools (e.g., Power BI, MS Project, Visio)
  • Strong understanding of SharePoint for collaboration, document management, and team productivity
  • Demonstrated analytical capability to solve complex problems and drive business value
  • Proven experience managing multiple projects simultaneously with attention to detail and deadlines
  • Excellent communication and presentation skills; ability to translate data insights into actionable strategies
  • Working knowledge of IT project management principles and requirements gathering processes
  • Ability to influence cross-functional teams within a matrixed and distributed environment

Preferred Qualifications

  • Familiarity with Global Purchasing and Supply Chain processes and systems
  • Previous experience supporting enterprise budgeting, sourcing, or supply chain analytics
  • Experience in a large corporate or manufacturing environment is a plus