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Assistant Data Analyst Training Jobs in Alabama (NOW HIRING)

Manage incident training and reporting * Sign off on all incident reports, ensure they are routed ... Perform data mining, analysis, and interpretation of results for assigned metrics related to ...

HR Data Analyst Location: Huntsville, AL Duration: 6 Months (For the right individual could be temp ... Translate complex data into clear visualizations, summaries, and presentations. * Assist in ...

Data Analyst ILocation: Arcadia Data Center, Auburn, AlabamaClient: Southern Company ... Perform routine maintenance and basic troubleshooting of server hardware issues. Assist in hardware ...

Data Analyst- AMILocation: Birmingham, AL Contract- 18 MonthsClient: Southern CompanyJob Summary ... Develop reports, dashboards, and documentation for internal stakeholders and assist with audits or ...

Data Analyst- AMILocation: Birmingham, AL Contract- 18 MonthsClient: Southern CompanyJob Summary ... Develop reports, dashboards, and documentation for internal stakeholders and assist with audits or ...

Data Analyst ILocation: Arcadia Data Center, Auburn, AlabamaClient: Southern Company ... Perform routine maintenance and basic troubleshooting of server hardware issues. Assist in hardware ...

Developing data analytics for desktop and web-developed visual analytic software * Facilitating the ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

Developing data analytics for desktop and web-developed visual analytic software * Facilitating the ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

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 Alabama?

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

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

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

Scientific Data Analyst 3

Chenega Services & Federal Solutions

Fort Novosel, AL • On-site

Full-time

Re-posted 13 days ago


Job description

Overview
Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services' company, is looking for a Scientific Data Analyst 3 to support the Injury Biomechanics and Protection Group (IBP) of the U.S. Army Aeromedical Research Laboratory (USAARL) to provide the scientific, programmatic, and technical support to allow responsive, high quality, and timely mission accomplishment within a flexible and changing environment.
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee's knowledge, critical thinking, innovative solutions for our clients.
Responsibilities
  • Provide scientific analytical services related to data acquisition (e.g., instrumentation, high speed video, medical images, or engineering and medical databases), data management, and data analysis according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results.
  • Acquire, manage, and analyze data (obtained from instrumentation, high speed video, medical images, or engineering and medical databases).
  • Provide scientific analytical services related to data analysis, data scientific and engineering quality assessment, and data management according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results (e.g., by following scientific procedures, recording information, documenting research, and properly storing data.)
  • Perform analysis on large time series engineering/research data by writing and/or developing algorithms and processing data through COTS and/or custom analysis software.
  • Use, develop, and evaluate recommendations on Best Practices of data management, file structures, and relational databases.
  • Develop and update appropriate analysis documentation, and store documents and data in accordance with applicable regulations and procedures.
  • Ensure that plans and execution of analysis meets all applicable regulations, guidance, and procedures.
  • Provide scientific analytical services by applying the principles of statistics, numerical methods, signal processing, research, dynamics, kinematic motion analysis, and programming. Such application will require individual research, synthesis of research and mathematical literature, programming in MATLAB, modification and use of previously created MATLAB scripts, creation of batch jobs, data quality assessments, and handling large time series data sets. Additionally, documentation of analysis will be required within developed and modified scripts and codes along with scientific documentation such as papers, reports, and presentations.
  • Provide understanding of data use and analysis needs to a multi-disciplinary team including engineers, physicians, computer scientists, database developers, data entry clerks, data quality assessors, and other biomedical researchers.
  • Provide services related to the Injury Biomechanics RDT&E efforts, including the development of draft test plans and protocol documentation from literature reviews along with the collection and preparation of data for analysis and synthesis according to policy and procedures of the USAARL.
  • Work under the guidance of the Principal Investigator, Team Chief, and Group Leadership, using knowledge and training to plan and accomplish research tasks and goals.
  • Work within a research team with a small team of junior data analysts to accomplish RDT&E objectives, but work independently with minimal direction to solve analytic and technical problems.
  • Other duties as assigned.

Qualifications
  • May work variable work hours to meet performance requirements (e.g., proposal and reporting deadlines, collaborations, and lab and field data collections), including occasional night and weekend hours.
  • Must be able to obtain and maintain a state-issued driver's license for independent travel to restricted meetings and field-data collection locations.
  • Experience in numerical methods programming, data acquisition, and use of MATLAB, including MATLAB specialty toolboxes such as work with images, signals, and statistics.
  • Obtain and maintain Associate Investigator credentials.

Knowledge, Skills and Abilities:
  • Use strong communication skills and professionalism at all times.
  • Knowledge of commonly-used and advanced concepts, practices, standards, and procedures within mechanics, dynamics, and mathematics as demonstrated through a degree and coursework in a relevant STEM (Science, Technology, Engineering, and Mathematics) field from an accredited program and demonstrated through publications.
  • Excellent oral and written communication skills