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Assistant Data Analyst Training Jobs in Kansas (NOW HIRING)

The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data ... training, reporting and primary technical support as need for data intensive projects throughout ...

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a ... Our policy is to provide employment, training, compensation, promotion, and other conditions or ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ... Provide informal training, direction, and guidance to analysts across the broader analytics ...

New

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ... Provide informal training, direction, and guidance to analysts across the broader analytics ...

New

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ... Provide informal training, direction, and guidance to analysts across the broader analytics ...

New

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ... Provide informal training, direction, and guidance to analysts across the broader analytics ...

New

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... reduction * Assist various functional teams (HR, Finance, etc.) with customized analytical ...

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... reduction * Assist various functional teams (HR, Finance, etc.) with customized analytical ...

Sr. Manufacturing Data Analyst

De Soto, KS · On-site

$82K - $104K/yr

Provides guidance, training, and consultation to stakeholders on KPI management, reporting requirements, data interpretation, and analytics tools to support data-driven decision-making * Provides ...

New

Student Employee - Data Analyst The Student Data Analyst (SDA) will be responsible for providing ... Create dashboard visualizations using Power BI or different visualization tools. * Assist in the ...

New

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... training, experience, expected quality and quantity of work, required travel (if any), external ...

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Showing results 1-20

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 cities in Kansas are hiring for Assistant Data Analyst Training jobs? Cities in Kansas with the most Assistant Data Analyst Training job openings:
Data Analyst

Data Analyst

Lockton, Inc.

Overland Park, KS • On-site

Full-time

Re-posted 13 days ago


Lockton rating

9.1

Company rating: 9.1 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

23rd of 281 rated insurance


Job description

Job Summary:
The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information, reconciliations and reports for management, Associates, and other custom-built applications.
Essential Duties:
• Subject matter expert for finance, client premium and revenue data
• Generate standard and ad hoc reports on a regular basis
• Create Excel based data analysis tools to identify variances with macros
• The data analyst must be able to recognize data issues and work with providers of data to resolve problems
• Provides consulting, training, reporting and primary technical support as need for data intensive projects throughout the project lifecycle including post go-live
• Responsible for monitoring progress and maintaining responsibility for delivering project deliverables accurately and on time
• Ad hoc technical analysis of jobs, queries, reports, & other items across ERPs & Systems
Other Responsibilities:
• Makes decisions in compliance with established corporate and department standards
• Provides exceptional customer service and adheres to the Lockton philosophie
Requirements:
• BS/BA degree required
• At least 3 years of experience in data analysis in the insurance industry or related field
• At least 3 years of experience in working with project teams in an information technology environment
• Proficiency with Microsoft SQL, Microsoft Excel, Microsoft PowerBI and VBA for Excel macros
• Use advanced Excel capabilities, including pivot tables, lookups, complex formulas and graphing
• Familiarity with PeopleSoft query and nVision or Oracle Fusion and OTBI a plus
• Ability to express complex technical concepts effectively, both verbally and written
• Ability to work well with & and describe tasks to non-technical users
• Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing strategic plans for undertaking data conversions
• Demonstrated effectiveness in working with multi-functional teams in a technical production environment
• Demonstrated ability to respond to customer requirements with timely and effective technical solutions
• Ability to synthesize data from multiple sources
• Superior attention to detail
• Ability to multitask without sacrificing the quality and accuracy of project deliverables
• Some overtime, off-shift support and travel may be required
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