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Assistant Data Analyst Training Jobs in Missouri

Senior Data Analyst, Finance

Saint Louis, MO · On-site

$83K - $105K/yr

The Senior Data Analyst, Finance is responsible for identifying Finance user requirements and ... This role is also responsible for training the Finance users on new solutions or existing ...

Enterprise Data Architect

Saint Louis, MO · On-site +1

$105K - $123K/yr

... * Assist data, analytic, business and IT leaders in developing data governance processes and ... Experience in data analysis using PySpark, SQL, Python is preferred. * Professional training ...

Cyber Data Analyst Engineer Job Category: Information Technology Time Type: Full time Minimum ... Provide team training regarding tasks and products. Interact with internal and external customers ...

New

Cyber Data Analyst Engineer Job Category: Information Technology Time Type: Full time Minimum ... Provide team training regarding tasks and products. Interact with internal and external customers ...

New

$65K - $112K/yr

Performs data analysis and/or data management using the latest and best methodologies as ... May assist in design and development of data entry systems. * Functions as an expert statistical ...

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 are the most commonly searched types of Data Analyst Training jobs in Missouri?

The most popular types of Data Analyst Training jobs in Missouri are:

What cities in Missouri are hiring for Assistant Data Analyst Training jobs?

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

Data Analyst - GEOINT SME with Security Clearance

ECS

Saint Louis, MO • On-site

$110K - $135K/yr

Other

Posted 2 days ago

New


Job description

Job Description Everforth ECS is seeking a Data Analyst, GEOINT Technical Subject Matter Expert (SME), to work at our St. Louis, MO customer site. Note: This position is contingent upon contract award and final acceptance by government customer. Data Analyst - GEOINT Technical SME Work Role: Everforth ECS is seeking a Data Analyst GEOINT SME that encompasses a comprehensive skill set focused on leveraging data to enhance organizational performance, ensure security, and drive strategic decisions. This includes the technical depth of integrating, developing, and maintaining analytic models, visualizations, and tools specifically designed to deter, detect, and mitigate insider threats by identifying anomalous events. A core function is the application of industry-standard data science principles to develop and sustain risk scoring tools and other data analytics implementations while supporting system integrity by capturing and analyzing metrics on system errors, failures, and data transfers. Complementing this technical expertise is the breadth of business analysis, which involves collaborating with project requesters, stakeholders, and managers to refine project requests and clarify business objectives. These professionals use data analytics to derive actionable business insights, draw logical conclusions, develop forecasts, identify organizational inefficiencies, and ultimately recommend and implement strategies to improve overall performance. Duties May Include: * Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative datasets into compelling, understandable visuals. * Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency. * Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures. * Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams. * Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring. * Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications materials, ensuring they convey a consistent message. * Other Duties as assigned. Salary Range: $110,000-135,000 Required Skills * U.S. Citizenship * Bachelor's Degree in Data Science, Statistics, Business, or a related field * Active TS/SCI with ability to pass CI Poly * At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker * Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution * Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management) * Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies * Experience in collaborating with stakeholders to clarify project needs and business objectives * Familiarity with the concepts of analytical model development and maintenance * Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment * Proficiency in creating and editing visual content such as charts and graphs to represent data * Demonstrated coding experience to support writing scripts with tools such as, but not limited to, Java and Python * Demonstrated ability to use SharePoint, Tableau, Redmine, and other systems/databases to manipulate and build data visualizations Desired Skills * Active TS/SCI w/CI Poly * Experience supporting insider threat, risk scoring, or similar security-focused analytics programs * Experience with policy development or process improvement initiatives * Familiarity with GEOINT analysis software or NGA-specific applications ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!