1

Assistant Data Analyst Training Jobs in Fort Wayne, IN

The Pricing Analyst executes retail and wholesale pricing strategies through data driven analysis ... Complete required pricing analyst training and ongoing development activities to remain aligned ...

The Pricing Analyst executes retail and wholesale pricing strategies through data driven analysis ... Complete required pricing analyst training and ongoing development activities to remain aligned ...

Data Engineer

Fort Wayne, IN ยท Hybrid

$113K - $135K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA ... training, benefits, work assignments, discipline, termination, and all other terms and conditions ...

Clinician in Training

Fort Wayne, IN ยท On-site

$50K - $66K/yr

The Clinician in Training is an entry level Behavior Analyst role that is designed to give the ... Create materials for learners on caseload (after completion of MRS training) * Assist in the ...

USfalconhas an excited opportunity for a Collective Training Analyst, SME to supportUSSTRATCOMat ... and data collection forms. * Assist in the design, planning, rehearsal, quality control, and ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Workiva employees are required to undergo comprehensive security and privacy training tailored to ...

next page

Showing results 1-20

Assistant Data Analyst Training information

See Fort Wayne, IN salary details

$27.6K

$70.7K

$135.2K

How much do assistant data analyst training jobs pay per year?

As of Sep 3, 2026, the average yearly pay for assistant data analyst training in Fort Wayne, IN is $70,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $82,400.00 per year, depending on experience, location, and employer.

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?

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 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.

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 cities near Fort Wayne, IN are hiring for Assistant Data Analyst Training jobs?

Cities near Fort Wayne, IN with the most Assistant Data Analyst Training job openings:

$60 - $80/hr

Other

Posted 2 days ago

New


Key responsibilities

  • Design, build, and maintain data pipelines and ETL processes to ingest, transform, and deliver data from various sources.

  • Monitor, troubleshoot, and resolve issues in data workflows to ensure data integrity, quality, and security.

  • Collaborate with teams to support data needs, improve data organization, and develop policies for data governance.


Job description

Position Summary

The Data Analyst will be primarily responsible for creating and maintaining DMAโ€™s infrastructure and systems that enable the collection, storage, and processing of data. This role is essential for ensuring data is accessible, reliable, and optimized for analysis and decisionโ€‘making.

Job Details

Hybrid position with an expectation to be in our Fort Wayne, IN office a minimum of two days per week.

This position does not qualify for relocation assistance.

Must be authorized to work in the U.S. without the need for employmentโ€‘based visa sponsorship now or in the future. This position does not qualify for employmentโ€‘based sponsorship.

Essential Duties and Responsibilities
  • Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources.
  • Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine.
  • Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Collaborate with programmers and engineers to improve efficiency and data organization; improve performance through data structure and query optimization.
  • Ensure data integrity, quality, and security across all systems and platforms.
  • Work with departments to provide insight, identify opportunities and improvements, recommend system modifications, and develop policies for data governance.
  • Integrate structured and unstructured data from internal and external sources.
  • Monitor and troubleshoot data workflows, resolving issues proactively.
  • Design, implement, and maintain critical data systems from ETL/ELT, data warehouse, BI tools, and everything in between.
  • Maintain documentation for data architecture, processes, and standards.
  • Collaborate with data scientists, analysts, and product teams to support data needs.
  • Analyze requirements from the business and provide solutions or guidance for solutions.
  • Work with senior data analyst to establish data governance.
Nonโ€‘Essential Duties and Responsibilities
  • Perform other duties as assigned.
Education and Qualifications
  • Bachelorโ€™s degree in computer science, information systems, engineering, or related field.
  • 2 to 5 yearsโ€™ experience in a data engineering role.
  • Familiarity with professional programming.
  • Familiarity with relevant business domains.
  • Ability to analyze large datasets and write comprehensive reports.
  • Experience in data models and reporting packages.
  • Experience working with data and data analytics development, preferably within the Microsoft data platform.
  • Ability to understand business needs and translate them into technical solutions.
  • Works effectively with analysts, stakeholders, and IT teams to deliver data solutions that drive business value.
  • Proficiency in SQL and experience with relational and nonโ€‘relational databases.
  • Proficient with ELT/ETL and data warehousing development.
  • Knowledge of relational databases and objectโ€‘relational mapping concepts.
  • Commitment to data quality, governance, and compliance.
  • Understanding of data modeling, normalization, and schema design.
  • Excellent organizational skills: ability to handle multiple projects.
  • An analytical mind and inclination for problemโ€‘solving.
  • Strong verbal and written communication skills.
Equal Employment Opportunity Statement

The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment.

It is DMAโ€™s policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at HRDepartment@dmainc.com or 800โ€‘309โ€‘2110 and choosing selection6.

#J-18808-Ljbffr