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Assistant Data Analyst Training Jobs in Kansas (NOW HIRING)

As a Senior Data Governance Analyst -- Unstructured Data & AI Readiness you will serve as a ... Develop and deliver training materials, adoption guides, and governance communications to business ...

In this role, you will be responsible for analyzing complex data sets, developing machine learning ... Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ...

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

In this role, you will be responsible for analyzing complex data sets, developing machine learning ... Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ...

... junior analyst at the end of the day. At this team size, the manager must be both a strategic ... Maintain the champion network documentation, training library, and internal data catalog * Scale ...

Showing results 41-60

Assistant Data Analyst Training information

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 in Kansas are hiring for Assistant Data Analyst Training jobs?

Cities in Kansas with the most Assistant Data Analyst Training job openings:

Senior Data Governance Analyst

Topeka, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

We're Looking for an experienced Senior Data Governance Analyst — Unstructured Data & AI Readiness!


About the Company:
Security Benefit is a leader in the U.S. retirement market with more than $60 billion in assets under management. We offer opportunities to thrive, innovate, and make an impact. As part of our team, you’ll play a key role in driving the future of the U.S. retirement industry. Security Benefit is a PLACE where we promise to help our customers To and Through Retirement®.

We’re proud to have been recognized as one of the best in the business:

  • Named to Ward’s 50 list of top-performing life-health insurance companies
  • Recognized on list of Ingram’s Top 100 Private Companies in the Kansas City area in 2024

 

About the Role:
As a Senior Data Governance Analyst — Unstructured Data & AI Readiness you will serve as a recognized subject matter expert on Security Benefit’s Data Governance team, owning the operationalization of governance practices for unstructured content — including documents, email, collaboration platforms, and cloud repositories. You will ensure enterprise information is trusted, compliant, and optimized for AI and Retrieval-Augmented Generation (RAG) use cases, while driving Information Lifecycle Management (ILM) program execution across the organization. This role sits at the intersection of traditional records and retention governance and next-generation AI readiness, making it a critical enabler of Security Benefit’s data strategy and its $60 billion asset management mission.

This role reports to the AVP, Data Strategy & Enablement and sits within the Data Governance chapter, providing governance services and standards across Agile Product Teams. It can be performed remotely or in a hybrid capacity from our Topeka or Overland Park, Kansas offices.

  • Lead operationalization of unstructured data governance across AWS-based cloud platforms, SharePoint, OneDrive, and other enterprise content stores — supporting Data Owners and Stewards in classifying, sensitivity-labeling, and retention-tagging content for AI fitness, regulatory compliance, and eDiscovery readiness
  • Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the Gen AI & Innovation team and enterprise Risk function to provide governance inputs into AI intake processes, risk assessments, and data asset inventories
  • Execute information lifecycle workflows including classification, retention scheduling, disposition, and audit readiness across enterprise content platforms; administer legal hold placement and release under Legal’s direction
  • Support administration and user adoption of Microsoft Purview for sensitivity labeling and information protection across Microsoft 365 and connected platforms
  • Develop and maintain metadata taxonomies, classification schemas, and controlled vocabularies for unstructured content; administer and extend enterprise data catalog coverage to include unstructured content assets
  • Serve as governance SME for Security Benefit’s FSx-to-SharePoint migration initiative, ensuring governance standards — site architecture, content taxonomy, sensitivity labeling, and retention controls — are designed into the platform from the ground up
  • Develop and advocate for automated and AI/ML-assisted tagging and classification approaches using Microsoft Purview auto-labeling, SharePoint Syntex, and comparable platform-native capabilities to minimize manual burden on business users
  • Partner with Data Owners, Stewards, Legal, Privacy, Platform Architecture, and data teams to design workflows and automation supporting unstructured data classification, retention controls, and access governance
  • Develop and deliver training materials, adoption guides, and governance communications to business and technology stakeholders on unstructured data governance standards and tooling
  • Mentor and provide technical guidance to IC 1/IC 2 Governance Analysts on classification, metadata, and stewardship practices

What We’re Looking For:

  • Bachelor’s degree in Information Management, Data Science, Library & Information Science, Computer Science, Business Administration, or a related field
  • 5–7 years of experience in data governance, information management, records management, data operations, or a closely related discipline
  • Working knowledge of unstructured data governance concepts including metadata management, content classification, sensitivity labeling, information lifecycle management, legal hold, and records retention
  • Hands-on experience with one or more enterprise content platforms: SharePoint Online, OneDrive, Slack, or comparable cloud content repositories
  • Demonstrated SharePoint Online expertise including site architecture, content types, managed metadata term stores, permission modeling, and document library governance; experience supporting SharePoint migrations from on-premises or legacy file share environments (e.g., FSx) strongly preferred
  • Familiarity with Microsoft Purview (or predecessor tools: Azure Information Protection, MIP) for sensitivity labeling and compliance management; willingness to develop deep proficiency required
  • Automation-first orientation: evaluates AI/ML-assisted and platform-native automation options (e.g., Purview auto-labeling, SharePoint Syntex, Power Automate) before recommending manual processes
  • Exposure to data catalog or metadata management tooling (e.g., Collibra, Alation, Informatica, or similar); willingness to develop proficiency in Security Benefit’s selected platform required
  • Strong analytical and problem-solving skills; comfortable operating in ambiguous, fast-moving environments with competing priorities
  • Strong written and verbal communication skills; proven ability to translate complex governance concepts for both technical and non-technical audiences
  • Understanding of AI/ML governance concepts, including data readiness for RAG architectures, is a meaningful differentiator
  • Experience in financial services or a regulated data environment preferred; familiarity with SQL, Python, or scripting for data profiling and quality validation a plus

 

Why Choose Security Benefit?
When you join our team, you’re not just getting a paycheck — you’re getting a career path full of growth opportunities, plus a robust benefits package that puts your well-being first. Here’s what you can expect as a full-time Security Benefit associate:

  • Competitive salary and annual incentive bonuses to reward your contributions.
  • 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance).
  • Paid parental leave after 90 days of service.
  • Comprehensive medical, dental & vision insurance.
  • 401(k) with company match, plus Profit Sharing & Savings Plan.
  • Short- and Long-Term Disability Insurance to give you peace of mind.
  • Flexible Spending Accounts for medical and dependent care.
  • Life Insurance to protect your loved ones.
  • Educational assistance to support your career development.
  • Associate assistance programs for your personal and professional well-being.

 

Ready to Make an Impact?
Apply today by visiting our career page to submit your resume. We’re excited to meet you!

Security Benefit is an Equal Opportunity Employer.