Data Engineer (Entry Level), Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Alabama, United States
Work with cross-functional teams to understand data requirements and deliver solutions that meet business needs
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL)
Experience with scripting languages (e.g., Python, R, Scala) for data manipulation and automation
Knowledge of data warehousing and data modelling concepts
Strong problem-solving and analytical skills
Data Analyst (Entry Level) - Us
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At California, United States
Gather requirements and lead the development of long-term data management tools, processes, and solutions based on organizational needs.
Minimum 1+ years of data or information management and/or data analysis experience.
Bachelor's Degree in business, business intelligence, data or information management, or similar.
Communicate with client leadership to assess data needs and emerging requirements
Work with large data sets, workbooks, and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.
Experience using Microsoft Excel and Google Sheets (macros, imports, query functions).
Data Scientist (Entry Level) - Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Florida, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
1 year Experience with Data Bricks or PySpark
Data Scientist (Entry Level) - Us
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Florida, United States
Knowledge of optimization and predictive modelling techniques and experience applying them to real-world problems.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
1 year Experience with Data bricks or PySpark
1 year Experience with product ionizing data models
Data Analyst (Entry Level) - Us
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Florida, United States
Gather requirements and lead development of long-term data management tools, processes and solutions based on organizational needs.
Minimum 1+ years of data or information management and/or data analysis experience.
Bachelor's Degree in business, business intelligence, data or information management, or similar.
Communicate with client leadership to assess data needs and emerging requirements
Work with large data sets, workbooks and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.
Experience using Microsoft Excel and Google Sheets (macros, imports, query functions).
Entry-Level Data Analyst, Actualtech Media
By Future At United States
Analyzing and cleansing lead report lists according to pre-defined criteria
Generating custom program reports for the demand generation and events teams
Analyzing and deploying client suppression and account based marketing target data and lists within client programs
Determining email list targeting capability for prospective client webinar and content syndication programs
Other data analysis and hygiene tasks as required
This is a three-month contract-only role, with a possibility for extension if the initial engagement is successful
Data Analyst (Entry Level), Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Delaware, United States
Basic experience in computational finance, econometrics, statistics, and math.
Strong knowledge of R or Python for data analysis and modeling.
Excellent teamwork and communication skills.
Strong analytical and problem-solving abilities.
Knowledge of actuarial concepts and life, health, and/or annuity products.
Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.
Data Analyst (Entry Level)
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Georgia, United States
Basic experience in computational finance, econometrics, statistics, and math.
Strong knowledge of R or Python for data analysis and modeling.
Excellent teamwork and communication skills.
Strong analytical and problem-solving abilities.
Knowledge of actuarial concepts and life, health, and/or annuity products.
Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.
Data Scientist (Entry Level)
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Arizona, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
1 year Experience with Data bricks or PySpark
Entry Level / Data Entry Assistant (Remote)
By Est Est Est At California, United States
Proactively identify process enhancements to optimize data management.
Stay updated on industry trends and emerging data management techniques.
Proficient typing speed and accurate data entry capabilities.
Previous experience in data entry or administrative roles is advantageous.
Flexibility to work remotely and manage your own schedule.
Modern tools and technology for seamless data management.
Data Entry Assistant / Entry Level (Remote)
By Better Hire At Memphis, TN, United States
Access ongoing training and resources to elevate your data management skills.
Embrace training opportunities to continuously improve data entry skills.
Stay abreast of industry best practices and emerging data management trends.
Proficient typing skills along with familiarity with data entry software.
Exceptional time management and organizational prowess.
Collaborate closely with team members to streamline data entry processes.
Data Entry Assistant / Entry Level (Remote)
By Est Est Est At California, United States
Proactively identify process enhancements to optimize data management.
Stay updated on industry trends and emerging data management techniques.
Proficient typing speed and accurate data entry capabilities.
Previous experience in data entry or administrative roles is advantageous.
Flexibility to work remotely and manage your own schedule.
Modern tools and technology for seamless data management.
Data Entry Assistant - Entry Level (Remote)
By Seek Technology At Columbus, OH, United States

Join Our Remote Team as a Data Entry!

CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING

Data Analyst (Entry Level)
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Columbus, GA, United States
Basic experience in computational finance, econometrics, statistics, and math.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Strong knowledge of R or Python for data analysis and modeling.
Excellent teamwork and communication skills.
Strong analytical and problem-solving abilities.
Knowledge of actuarial concepts and life, health, and/or annuity products.
Data Analyst (Entry Level) - Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Columbus, GA, United States
Gather requirements and lead the development of long-term data management tools, processes, and solutions based on organizational needs.
Minimum 1+ years of data or information management and/or data analysis experience.
Bachelor's Degree in business, business intelligence, data or information management, or similar.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Communicate with client leadership to assess data needs and emerging requirements
Work with large data sets, workbooks, and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.
Data Scientist (Entry Level) - Us
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist (Entry Level)- Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist (Entry Level)
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Engineer (Entry Level)-Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.
Work with cross-functional teams to understand data requirements and deliver solutions that meet business needs
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL)
Experience with scripting languages (e.g., Python, R, Scala) for data manipulation and automation
Knowledge of data warehousing and data modeling concepts
Data Scientist (Entry Level) - Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.