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Assistant Data Analyst Training Jobs in Michigan

... data quality. * Assist in the coaching and training of customers in the use of business ... Analytical thinking; accuracy and attention to detail skills. * Must have a solid understanding of ...

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Facilitate business and IT alignment by defining system requirements, enhancements, and training ...

Snowflake Data Analyst

Detroit, MI · On-site

$45 - $55/hr

When you work at OpTech, not only do you get health and dental benefits, but you also have training ... We are seeking a Snowflake Data Analyst to support data analysis, reporting, and business ...

Actively facilitate the development and refinement of processes, procedures, and training materials ... Data Proficiency: Strong capabilities in data analysis and problem-solving with advanced Excel ...

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Responsibilities * Assist members of the Procurement COE and Category Sourcing groups in analyzing data to support shared objectives * Collect, clean, validate, and analyze data from multiple sources ...

Participate in quarterly analytics reviews, weekly operational meetings, and vendor calls. * Assist ... Provide data-driven support for forecasting, scheduling audits, and strategy development.

Role: Jr. Data Analyst Location: Jackson, MI (Hybrid) Duration: Long term Rate: Market ... Assist with data entry tasks and support ongoing automation initiatives using Power Automate ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

Professional development reimbursement and ongoing skills training opportunities * Employee ... Testing * Assist in the setup, monitoring, and analysis of A/B tests and product experiments

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

Professional development reimbursement and ongoing skills training opportunities * Employee ... Testing * Assist in the setup, monitoring, and analysis of A/B tests and product experiments

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required ... Provide day-to-day technical and operational support for the Agile Development Team. * Assist with ...

... and to assist with the smooth operation of the Clinical Care Management Department. Minimum ... Assists with special computer projects for various types of data elements/information tracking.

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Assistant Data Analyst Training information

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with little to no experience if they demonstrate strong analytical skills and a willingness to learn. Completing relevant training or certifications can improve your chances of starting a data analyst role without prior experience.

What is the difference between Assistant Data Analyst Training vs Data Analyst?

AspectAssistant Data Analyst TrainingData Analyst
Required CredentialsBasic certifications, training programsBachelor's degree in related field, certifications
Work EnvironmentEntry-level, supervised tasks, training settingsFull responsibilities, independent analysis
Employer UsageTraining programs, internships, entry rolesFull-time analyst roles in various industries
Search & Comparison IntentLearning path, entry-level roles, training optionsCareer advancement, job requirements, skills needed

Assistant Data Analyst Training focuses on preparing individuals with foundational skills through courses and internships, while Data Analyst roles involve performing independent data analysis tasks in professional settings. Training is ideal for beginners, whereas Data Analyst positions require more experience and technical expertise.

What are some common challenges faced by Assistant Data Analysts during their training period, and how can they overcome them?

Assistant Data Analysts in training often encounter challenges such as adapting to new data analysis tools, understanding complex datasets, and translating business requirements into actionable insights. It's common to feel overwhelmed by the variety of data sources and the technical skills required, such as proficiency in Excel, SQL, or visualization tools. Overcoming these hurdles typically involves proactively seeking mentorship, participating in team discussions, and consistently practicing with real datasets to build confidence and competence. Collaborating closely with senior analysts and asking clarifying questions can significantly accelerate the learning process.

Is a data analyst still worth it in 2026?

A data analyst remains a valuable role in 2026 as organizations continue to rely on data-driven decision-making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are essential, and demand is expected to stay strong due to increasing data volumes across industries.

Is 40 too late for data science?

For an Assistant Data Analyst training program, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in life by gaining relevant skills such as SQL, Python, and data visualization, often through online courses or certifications. Experience, continuous learning, and building a portfolio are key factors for career progression regardless of age.

What is an Assistant Data Analyst Training program?

An Assistant Data Analyst Training program is a structured course or series of workshops designed to teach foundational data analysis skills. Participants learn how to collect, organize, and interpret data using tools such as Excel, SQL, and data visualization software. The training often covers basic statistics, data cleaning, and reporting techniques to prepare individuals for entry-level roles as data analysts. These programs are suitable for beginners and those looking to transition into data-related fields.

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

To thrive as an Assistant Data Analyst in training, you need a solid grounding in statistics, data interpretation, and a relevant educational background such as a degree in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software, as well as basic knowledge of programming languages like Python or R, is highly beneficial. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and collaborating with teams. These skills ensure accurate data analysis, meaningful insights, and clear reporting, which are essential for supporting organizational decision-making.

What training is needed to be a data analyst?

To become a data analyst, relevant training typically includes a bachelor's degree in fields like statistics, mathematics, or computer science. Additionally, proficiency in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with knowledge of data visualization and statistical methods, is essential. Certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist can also enhance qualifications.
What are the most commonly searched types of Data Analyst Training jobs in Michigan? The most popular types of Data Analyst Training jobs in Michigan are:
What cities in Michigan are hiring for Assistant Data Analyst Training jobs? Cities in Michigan with the most Assistant Data Analyst Training job openings:
Data Analyst

Data Analyst

R3 Tek

Detroit, MI

$45/hr

Contractor

Re-posted 28 days ago


Job description

Greetings,

Position: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 on projects.
  • Advanced ability to analyze, critically review a data warehouse, advanced SQL, and data flow is essential.
  • Aptitude, creativity, forward thinking and approach are key.
  • Healthcare industry knowledge is highly preferred, insurance industry experience is also valued.
  • Informatica experience is a plus.

WHAT YOU WILL BE DOING

  • Develop medium to highly complex logical database designs, logical data models and relational data definitions in support of corporate and customer information systems requirements.Â
  • Work closely with customers, vendors, business analysts and application development project teams to resolve information flow and content issues.
  • Work on enterprise-wide complex projects/issues/enhancements as a team member or lead.
  • Work with IT teams to ensure compliance.Â
  • Work with business and vendor partners, and project delivery leads to determine business data intelligence needs. Interpret and document the data needs for the business.Â
  • Analyze program needs and translate them into data warehousing and data mart requirements.
  • Work in partnership with data architects to design the common customer view of information.Â
  • Define, document, and maintain all data definitions, manage data dictionary, data sources, business meaning and usage of information.Â
  • Recognize and resolve conflicts between models, ensuring that data models are consistent with the enterprise model (e.g., entity names, relationships and definitions).Â
  • Perform regular audits of data, develop single source data strategy.
  • Develop solutions and recommendations for improving data integrity issues, establish data profiling and preventative procedures to improve data quality.Â
  • Assist in the coaching and training of customers in the use of business intelligence tools to enhance business decision-making capability.Â
  • Provide leadership, coaching and mentoring to team members. Provide performance feedback to managers, as needed.Â

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in related field preferred.
  • Experience in Healthcare domain is highly preferred.
  • Analytical thinking; accuracy and attention to detail skills.
  • Must have a solid understanding of logical database design principles.
  • Experience data quality assurance and/or data management required.
  • Expertise with data quality tools for data profiling, cleansing and standardization preferred.
  • Experience in implementing solutions and processes for master data and hierarchy synchronizations preferred.
  • Understand the methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations.
  • Excellent written and verbal communication skills; interpersonal skills.
  • Ability to speak effectively before groups of customers or employees of the organization.

CORE COMPETENCIES

YEARS

  • Healthcare or
  • Insurance Domain

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Analytical thinking; accuracy and attention to detail skills

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Solid understanding of logical database design principles

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  • Quality assurance
  • Data management

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Data quality tools for data profiling, cleansing and standardization

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Implementing solutions and processes for master data and hierarchy synchronizations

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Understand methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations

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Excellent written and verbal communication skills; interpersonal skills

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Establish and maintain effective working relationships with team members

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Create, read, and interprets documents including process, procedure, and technical manuals

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Write routine reports and correspondence

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Speak effectively before groups of customers or employees of the organization

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Warm Regards, Rahul

R3 Technology Inc.,

324 Courtyard Drive, Suite A

Hillsborough, New Jersey,Â08844

Direct:7328373458

Website: www.r3tek.com


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About R3TEK

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Hillsborough, NJ, US

Year founded

2006