Query and interpret data, analyze results using statistical techniques, develop predictive models ... Computer Science, Information Management, Statistics, or a closely related field with similar ...
Query and interpret data, analyze results using statistical techniques, develop predictive models ... Computer Science, Information Management, Statistics, or a closely related field with similar ...
Data Science Consultant - AI Trainer
Providence, RI · On-site +1
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Data Science Consultant - AI Trainer
Providence, RI · On-site +1
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Providence, RI · On-site +1
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... Data Analytics. At INDUS, we believe in the value of the INDUS team. Together we deliver ... in computer science from an accredited university is required. * At least seven (7) years ...
... Data Analytics. At INDUS, we believe in the value of the INDUS team. Together we deliver ... in computer science from an accredited university is required. * At least seven (7) years ...
... Data Analytics. At INDUS, we believe in the value of the INDUS team. Together we deliver ... in computer science from an accredited university is required. * At least seven (7) years ...
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Johnston, RI · Hybrid
$124K - $165K/yr
Analyze conversation data such as chat logs, call transcripts, and speech-to-text outputs to ... D. in Computer Science, Data Science, Machine Learning, or a related quantitative field * 5+ years ...
Sr Data Scientist- Conversational AI & NLU
Johnston, RI · Hybrid
$124K - $165K/yr
Analyze conversation data such as chat logs, call transcripts, and speech-to-text outputs to ... D. in Computer Science, Data Science, Machine Learning, or a related quantitative field * 5+ years ...
Sr Data Scientist- Conversational AI & NLU
Johnston, RI · Hybrid
$124K - $165K/yr
Analyze conversation data such as chat logs, call transcripts, and speech-to-text outputs to ... D. in Computer Science, Data Science, Machine Learning, or a related quantitative field * 5+ years ...
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Johnston, RI · Hybrid
$124K - $165K/yr
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Providence, RI · On-site +1
$40/hr
AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...
Staff Data Scientist - AI Trainer
Providence, RI · On-site +1
$40/hr
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... Computer Science Data Science Information Systems or related field 3 years of experience in MDM and data analytics roles Proficiency in SQL PythonR and data visualization tools Experience with MDM ...
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Data Analyst Computer Science information
What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?
To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.
How does a Data Analyst with a computer science background typically collaborate with other departments within a company?
Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What is a Data Analyst in Computer Science?
A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.
What are popular job titles related to Data Analyst Computer Science jobs in Rhode Island? For Data Analyst Computer Science jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Rhode Island look for? The top searched job categories for Data Analyst Computer Science jobs in Rhode Island are:
What cities in Rhode Island are hiring for Data Analyst Computer Science jobs? Cities in Rhode Island with the most Data Analyst Computer Science job openings:
Data and Applications Assistant - Intermediate- Hybrid at Providence, RI
RICEFW Technologies, Inc.Providence, RI • On-site
Contractor
Posted 9 days ago
Job description
Data and Applications Assistant - Intermediate
To be responsible for conducting full lifecycle activities of data analytics to include requirements and design, data cleaning, developing analysis and reporting capabilities, linking databases and datasets, and continuously monitoring performance and quality control plans to identify improvements in models.
Responsible for:
Assure the integrity of project data, including data extraction, storage, manipulation, processing and analysis.
Query and interpret data, analyze results using statistical techniques, develop predictive models using administrative datasets and provide ongoing reports.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Provide data visualization and presentation of analytical findings to program owners and other stakeholders.
Identify, analyze, and interpret trends or patterns in complex datasets.
Link databases and datasets to generate integrated datasets.
Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems.
Participate in ongoing decisions concerning data collections, study design, methodology, and data analysis.
Ensuring data security practices are being followed protecting digital information from unauthorized access, data is encrypted, proper access controls are in place.
Locate and define new process improvement opportunities.
REQUIRED QUALIFICATIONS FOR APPOINTMENT: KNOWLEDGES, SKILLS AND CAPACITIES: A thorough knowledge of data models, regression analysis, database design development, data mining and segmentation techniques; a thorough knowledge of sophisticated reporting packages, databases and programming; a working knowledge of statistical methodologies and techniques utilized for analyzing large datasets; the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy; the ability to conduct queries, draw conclusions, prepare written reports and present findings in a clear and concise manner; knowledge of best practices for data security, data masking, and data backups. Experience using WorkDay preferred.
EDUCATION AND EXPERIENCE: Education: Such as may have been gained through: graduation from a four-year college of recognized standing with a Bachelor's Degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a closely related field with similar technical and computational emphasis; and Experience: Such as may have been gained through: employment in a professional capacity as a data analyst or in a technical capacity involving computational emphasis or data analysis. Or, any combination of education and experience that shall be substantially equivalent to the above education and experience.
To be responsible for conducting full lifecycle activities of data analytics to include requirements and design, data cleaning, developing analysis and reporting capabilities, linking databases and datasets, and continuously monitoring performance and quality control plans to identify improvements in models.
Responsible for:
Assure the integrity of project data, including data extraction, storage, manipulation, processing and analysis.
Query and interpret data, analyze results using statistical techniques, develop predictive models using administrative datasets and provide ongoing reports.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Provide data visualization and presentation of analytical findings to program owners and other stakeholders.
Identify, analyze, and interpret trends or patterns in complex datasets.
Link databases and datasets to generate integrated datasets.
Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems.
Participate in ongoing decisions concerning data collections, study design, methodology, and data analysis.
Ensuring data security practices are being followed protecting digital information from unauthorized access, data is encrypted, proper access controls are in place.
Locate and define new process improvement opportunities.
REQUIRED QUALIFICATIONS FOR APPOINTMENT: KNOWLEDGES, SKILLS AND CAPACITIES: A thorough knowledge of data models, regression analysis, database design development, data mining and segmentation techniques; a thorough knowledge of sophisticated reporting packages, databases and programming; a working knowledge of statistical methodologies and techniques utilized for analyzing large datasets; the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy; the ability to conduct queries, draw conclusions, prepare written reports and present findings in a clear and concise manner; knowledge of best practices for data security, data masking, and data backups. Experience using WorkDay preferred.
EDUCATION AND EXPERIENCE: Education: Such as may have been gained through: graduation from a four-year college of recognized standing with a Bachelor's Degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a closely related field with similar technical and computational emphasis; and Experience: Such as may have been gained through: employment in a professional capacity as a data analyst or in a technical capacity involving computational emphasis or data analysis. Or, any combination of education and experience that shall be substantially equivalent to the above education and experience.
About RICEFW Technologies
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Okemos, MI, US
Year founded
2007