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No Experience Data Analytics Jobs in Springfield, MA

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes. Qualifications: Strong experience in data ingestion, gathering ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

Showing results 41-60

No Experience Data Analytics information

See Springfield, MA salary details

$24

$54

$94

How much do no experience data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for no experience data analytics in Springfield, MA is $54.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

What skills and qualifications are needed for no experience data analytics roles?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What do no experience data analytics jobs involve?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What is a no experience data analytics job?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.
What are the most commonly searched types of Data Analytics jobs in Springfield, MA? The most popular types of Data Analytics jobs in Springfield, MA are:
What are popular job titles related to No Experience Data Analytics jobs in Springfield, MA? For No Experience Data Analytics jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching No Experience Data Analytics jobs in Springfield, MA look for? The top searched job categories for No Experience Data Analytics jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for No Experience Data Analytics jobs? Cities near Springfield, MA with the most No Experience Data Analytics job openings:
Infographic showing various No Experience Data Analytics job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $113,475 per year, or $54.6 per hour.

$64.25 - $82.75/hr

Full-time

Re-posted 8 days ago


Job description

Overview:
Position: Data Architect
Location: Hartford, CT (Remote right now)
Duration: 12+Months
Mandatory Skills: Talend, PySpark, Redshift
Job Description
Responsibilities:
Translating data and technology requirements into our ETL / ELT architecture.
Develop real-time and batch data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Java, NoSQL DBs, AWS EMR.
Develop data driven solutions utilizing current and next generation technologies to meet evolving business needs.
Develop custom cloud-based data pipeline.
Provide support for deployed data applications and analytical models by identifying data problems and guiding issue resolution with partner data engineers and source data providers.
Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes.
Qualifications:
Strong experience in data ingestion, gathering, wrangling and cleansing tools such as Apache NiFI, Kylo, Scripting, Power BI, Tableau and/or Qlik
Experience with data modeling, data architecture design and leveraging large-scale data ingest from complex data sources
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Strong knowledge of analysis tools such as Python, R, Spark or SAS, Shell scripting, R/Spark on Hadoop or Cassandra preferred.
Strong knowledge of data pipelining software e.g., Talend, Informatica
Skills:
Talend,PySpark,Amazon Redshift,ETL,ELT,Kafka,Apache Spark,Java,NoSQL,AWS EMR.,data pipeline,Apache NiFI,Kylo,Scripting,Power BI,Tableau,Qlik,data ingestion,wrangling,cleansing,Advanced SQL,SQL,Python,Hadoop,Cassandra,R/Spark,Informatica