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Trainee Data Analyst Fresh Graduate Jobs (NOW HIRING)

Data Analyst

New York, NY ยท On-site

$90K - $125K/yr

Qualifications: * 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field.

Data Analyst Location : Remote Product Operations' focus is to support and educate the people and ... Advanced technical degree or graduate degree in statistics, marketing, or related fields.

At least nine hours (three undergraduate or graduate-level courses) in data analytics, data science or another quantitative area of study is required. * An advanced degree from an accredited ...

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Data Analyst

New York, NY ยท On-site

$95K - $125K/yr

Qualifications: * 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field.

We are seeking a Data Analyst who will be responsible for delivering on-demand, automated, and ... Post graduate degree preferred. * 2 + years of relevant experience in the PBM and/or Health Plan ...

Data Analyst

Princeton, NJ ยท On-site +1

$80K - $100K/yr

We are seeking a Data Analyst who will be responsible for delivering on-demand, automated, and ... Post graduate degree preferred. * 2 + years of relevant experience in the PBM and/or Health Plan ...

DOE Q or DOD TS (may require SCI) OVERVIEW The Data Analyst will develop and maintain analytic ... Graduate degree in a relevant discipline. * WORK ENVIRONMENT Hybrid schedule typically consisting ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... We are a global wealth management and investment banking firm serious about innovation and fresh ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... We are a global wealth management and investment banking firm serious about innovation and fresh ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... We are a global wealth management and investment banking firm serious about innovation and fresh ...

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Strong presentation and communication skills Recent Graduate Hiring Range: $100,200 - $120,000 ...

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Strong presentation and communication skills Recent Graduate Hiring Range: $100,200 - $120,000 ...

Data Analyst 1/Trainee - 791

Brooklyn, NY ยท On-site

$53K - $85K/yr

Duties Description The Data Analyst 1 will produce analytics engineering solutions in the Data ... traineeship; OR six years of experience* in data visualization, and statistical models and data ...

... graduate roles or internships, performing national security-related analytics; preference for ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

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Trainee Data Analyst Fresh Graduate information

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$22.5K

$88.7K

$144K

How much do trainee data analyst fresh graduate jobs pay per year?

As of Jun 22, 2026, the average yearly pay for trainee data analyst fresh graduate in the United States is $88,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by trainee data analysts who are fresh graduates, and how can they overcome them?

As a trainee data analyst fresh out of university, one common challenge is transitioning from academic theory to real-world data sets, which are often messy and unstructured. Learning to use industry-standard tools like SQL, Excel, and data visualization platforms can feel overwhelming at first, but seeking mentorship from experienced team members and actively participating in training sessions can ease the process. Additionally, communicating technical findings to non-technical colleagues is a frequent hurdle; practicing clear, concise reporting and asking for feedback can help improve these skills. Embracing a growth mindset and staying curious will help you adapt and thrive in this dynamic role.

What is the difference between Trainee Data Analyst Fresh Graduate vs Data Analyst?

AspectTrainee Data Analyst Fresh GraduateData Analyst
QualificationsBachelor's degree in related field, basic Excel, SQL, and data analysis knowledgeSame as trainee, often with additional certifications or experience
Work EnvironmentEntry-level, supervised training, learning-focusedMore independent, project-based, with increased responsibilities
Employer UsageInternship or training program within companies or consulting firmsFull-time role in various industries like finance, marketing, or tech

In summary, a Trainee Data Analyst Fresh Graduate is an entry-level position designed for recent graduates gaining initial experience, while a Data Analyst typically has more experience and handles more complex tasks independently.

What are the key skills and qualifications needed to thrive as a Trainee Data Analyst (Fresh Graduate), and why are they important?

To thrive as a Trainee Data Analyst, you need a solid understanding of statistics, data analysis, and basic programming skills, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like Microsoft Excel, SQL, and introductory knowledge of Python or R, as well as data visualization platforms such as Tableau or Power BI, is commonly expected. Strong attention to detail, analytical thinking, and the ability to communicate findings clearly are standout soft skills in this role. These skills and qualities are crucial for accurately interpreting data, supporting data-driven decisions, and effectively contributing to business objectives.

What does a Trainee Data Analyst Fresh Graduate do?

A Trainee Data Analyst Fresh Graduate is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. Their responsibilities typically include cleaning datasets, creating basic reports, and learning to use analytical tools such as Excel, SQL, or Python. This role provides hands-on experience and training under the supervision of senior analysts, making it an ideal starting point for recent graduates interested in data-driven careers.
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What are the most commonly searched types of Data Analyst Fresh Graduate jobs? The most popular types of Data Analyst Fresh Graduate jobs are:
What states have the most Trainee Data Analyst Fresh Graduate jobs? States with the most job openings for Trainee Data Analyst Fresh Graduate jobs include:
Data Analyst

Data Analyst

Healthix

New York, NY โ€ข On-site

$90K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

JOB TITLE: Data Analyst

REPORTS TO: Director of Data Strategy and Reporting

DEPARTMENT: IT

HOURS: 40 Hours

FLSA STATUS: Exempt

SALARY: $90k-125k

POSITION SUMMARY:

The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organizationโ€™s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination โ€“ data stores defined and implemented based on system requirements and data consumer requirements.

Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.

The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.

Requirements

Essential Duties and Responsibilities:

  • Enhance and streamline data and pipeline architecture to improve data flow and collection.
  • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery.
  • Independently address the data requirements of multiple teams, systems, and products.
  • Refine or redesign Healthixโ€™s data architecture to enable nextโ€‘generation products and data capabilities.
  • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare.
  • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence.
  • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders.
  • Develop queries, support reporting needs, and tailor reporting solutions to enable dataโ€‘driven decisionโ€‘making.
  • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve dataโ€‘related problems.
  • Provide general reporting and project support across the organization.
  • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance.
  • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks.
  • Evaluate openโ€‘source and vendor dataโ€‘lineage tools and contribute to longโ€‘term data platform architecture planning across IT and Business teams.
  • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset.

Supervisory Responsibilities:

  • This job has no supervisory responsibilities.

Qualifications:

  • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred.
  • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases.
  • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases.
  • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements.
  • Experience in building and optimizing big data pipelines, architectures, and data sets.
  • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities.
  • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management.
  • Working knowledge of message queuing, stream processing, and scalable big data stores.
  • Proficient in big data tools such as Hadoop, Spark, and Kafka.
  • Experience with relational SQL and NoSQL databases.
  • Strong programming skills with languages like Python, Java, C++, and Scala.
  • Ability to architect end-to-end ETL pipelines.
  • Experience with AWS services and BI tools like Tableau.
  • Strong quantitative, analytical, process development, facilitation, and organizational skills.
  • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.

Benefits

SALARY: $90k-125k

Weโ€™re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.