Entry Level Data Entry Associate Jobs in Shelby, Tennessee

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.

Excellent organizational and time management skills to handle multiple tasks simultaneously.

High school diploma or equivalent; additional certifications or education in related fields are a plus.

Previous experience in data entry or related roles is advantageous but not mandatory.

Exciting Remote Entry-Level Data Entry Specialist Opportunity

Comprehensive benefits package: Receive health insurance, retirement plans, and other perks that cater to your well-being and security.

Cutting-edge tools and technology: Access the latest data entry software and tools to enhance your efficiency and productivity.

Solid organizational and time management skills.

Opportunity to gain valuable experience in data entry and enhance your technical skills.

We're Hiring: Remote Data Entry Clerk

Collaborate with team members and provide support in data management tasks.

High school diploma or equivalent; additional certifications or training in data entry is a plus.

Handle ad hoc data entry requests with a sense of urgency and efficiency.

Experience: Clerical or customer service experience or equivalent combination of education and experience preferred

A diverse and comprehensive benefits offering including medical, dental vision, 401K, PTO, and more

An assigned mentor and manager who will guide you on your career journey

Career development and promotional growth opportunities through increasing responsibilities

A diverse and comprehensive benefits package to take care of your mental, physical, financial, and professional needs

Education & Licensing: High school diploma or GED required

Participate in training sessions to enhance data management skills.

Strong organizational and time management skills.

Opportunity to gain valuable experience in data management and analysis.

Prior experience in data entry or related field preferred but not mandatory.

Assist in the creation and maintenance of data entry procedures and guidelines.

Ensure timely and efficient data entry to meet project deadlines.

Acquire valuable skills in data management, setting the stage for a prosperous career.

High school diploma or equivalent; additional certification in data entry is advantageous.

Proficiency in navigating various computer software and data management tools.

Access to ongoing training resources, bolstering your knowledge and skill set.

Collaborate with our team to accurately input, update, and manage various types of data.

Employ problem-solving skills to troubleshoot data-related issues and recommend solutions.

Development Associate Requirements And Qualifications

Excellent written and verbal communication skills.

Solicit increased contributions from current donors.

Establish contact with potential donors.

Report on fundraising activities and progress

Ability to handle multiple projects simultaneously

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

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).

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

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

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).

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

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.

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.

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

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.

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.

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.

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.

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.

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.