1

Assistant Data Analyst Training Jobs in Connecticut

Perform exploratory data analyses and evaluate data quality and usability. * Assist in the development and maintenance of ETL/ELT pipelines using established templates and internal tools. * Perform ...

Perform exploratory data analyses and evaluate data quality and usability. * Assist in the development and maintenance of ETL/ELT pipelines using established templates and internal tools. * Perform ...

... to better assist management in maximizing resources in Customer Operations related activity ... Liaise to provide guidance on training needs assigned reporting. Use in-depth knowledge of business ...

You enjoy data entry and providing structure to processes ... You will assist in gathering requirements, building analytical models and/or reports and driving ...

Data Analyst Location: Milford, CT Duration: Fulltime/Permanent .Excellent customer facing skills ... usage Assist in setting up test environment and implementation of data collection with defined ...

Data Analyst

Shelton, CT · Hybrid

$80/hr

Data Analyst Compensation: $80-100k This is a direct-hire, hybrid position which requires three ... training, licensure and certifications, office location and other geographic considerations, as ...

Data Analyst III

Stamford, CT · Remote

$45 - $55/hr

Job#: 3034455 Data Analyst III Location: Stamford, Connecticut (Partial Remote) Employment Type ... We offer quality career resources, training, certifications, development opportunities, and a ...

Junior Data Analyst /Data Governance -Analysis Norwalk, CT, / NYC NY Metro Please submit candidates ... • Assist in building data-quality dashboards and steward attestation trackers. • Coordinate ...

... * Assist with budgeting, forecasting, and variance analysis * Redesign and manage weekly KPI ... Perform ad hoc business analyses and translate data into actionable insights for leadership ...

You enjoy data entry and providing structure to processes ... You will assist in gathering requirements, building analytical models and/or reports and driving ...

next page

Showing results 1-20

Assistant Data Analyst Training information

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 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 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 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 popular job titles related to Assistant Data Analyst Training jobs in Connecticut? For Assistant Data Analyst Training jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Assistant Data Analyst Training jobs in Connecticut look for? The top searched job categories for Assistant Data Analyst Training jobs in Connecticut are:
What cities in Connecticut are hiring for Assistant Data Analyst Training jobs? Cities in Connecticut with the most Assistant Data Analyst Training job openings:

Full-time

Posted 8 days ago


Job description

Company Overview:
Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers.
Role Description
We are looking for a Data Analyst to join our team. In this role, you will be responsible for supporting our episode pricing and analytics operations, both to internal stakeholders as well as external customers. You will develop reports and visualizations that clearly communicate data-driven insights.
Responsibilities
  • Analyze large amounts of healthcare data from multiple sources to support business decision making
  • Perform exploratory data analyses and evaluate data quality and usability.
  • Assist in the development and maintenance of ETL/ELT pipelines using established templates and internal tools.
  • Perform routine data audits to flag quality issues, develop reports to monitor pricing quality and coverage, and assist in developing workarounds to data limitations.
  • Assist in gathering data requirements by participating in stakeholder meetings and documenting business needs.
  • Work closely with team members to identify key metrics and understand the "why" behind data requests.
  • Document existing data workflows to help the team identify inefficiencies or error prone areas (available tools include Miro, Confluence, and Jira)

Qualifications
  • Bachelor's degree ideally in a quantitative field, such as statistics, mathematics, economics, or computer science.
  • 1-2 years of experience using Python (pandas/numpy) for data analysis, including composing robust data processing code to enforce expected patterns, handle exceptions, and evaluate data usability/quality through exploratory data analyses.
  • Exposure to large-scale datasets; experience with healthcare claims or administrative data is a major plus but not required.
  • Ability to perform descriptive analysis and translate findings into clear charts or summaries for the team.
  • Excellent communication skills, with the ability to translate complex data into clear and actionable insights.
  • Strong organizational skills, with the ability to work on multiple projects and priorities in a fast-paced environment.
  • Basic familiarity with Git for version control (e.g., branching, committing, pulling code, and submitting pull requests)

Preferred Qualifications:
  • Knowledge of a BI tool (i.e., Looker, PowerBI)
  • Knowledge of basic statistical concepts and models (e.g. OLS, sampling variability, conditional probability, outlier detection, etc.)
  • Experience using SQL databases and Python packages (pandas, sqlalchemy, multiprocessing)
  • Experience developing Python utility packages for use across multiple scripts, chunking large datasets for efficient processing, and using abstraction to refactor complex processes
  • Knowledge of healthcare markets, specifically with respect to value-based care
  • Familiarity with AI-assisted coding tools such as Codex CLI, Cursor, Claude Code, etc.