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Remote Entry Level Data Analyst Jobs in Conway, AR

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

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Remote Entry Level Data Analyst information

See Conway, AR salary details

$11

$28

$54

How much do remote entry level data analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote entry level data analyst in Conway, AR is $28.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $32.26 per hour, depending on experience, location, and employer.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What are the key skills and qualifications needed to thrive as a remote entry level data analyst?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant certifications or coursework. Many companies offer remote work options for entry-level analysts, especially in the current digital and flexible work environment.

What are the most commonly searched types of Remote Data Analyst jobs in Conway, AR?

The most popular types of Remote Data Analyst jobs in Conway, AR are:

What are popular job titles related to Remote Entry Level Data Analyst jobs in Conway, AR?

For Remote Entry Level Data Analyst jobs in Conway, AR, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Analyst jobs in Conway, AR look for?

The top searched job categories for Remote Entry Level Data Analyst jobs in Conway, AR are:

What cities near Conway, AR are hiring for Remote Entry Level Data Analyst jobs?

Cities near Conway, AR with the most Remote Entry Level Data Analyst job openings:

Infographic showing various Remote Entry Level Data Analyst job openings in Conway, AR as of August 2026, with employment types broken down into 5% Internship, 85% Full Time, 5% Part Time, and 5% Contract. Highlights an 55% In-person, 10% Hybrid, and 35% Remote job distribution, with an average salary of $60,062 per year, or $28.9 per hour.

Supervisor - Data Services -- Remote

Little Rock, AR • Remote

USAble Life
Insurance Services • 501 - 1,000 employees

$87K - $160K/yr

Full-time

Retirement, PTO

Re-posted 10 days ago


Job description

When it comes to making a meaningful difference in the lives of our customers and employees, USAble Life is always ready.  We are a diverse group of individuals working together to go the extra mile. Through our DEI initiatives, employees feel empowered to bring their talents and voice to our culture. 

Our passion for delivering the best products is matched only by our passion for our people. We are committed to making a meaningful difference in the lives of others which extends beyond our office walls. USAble Life has a long tradition of supporting our communities, and we’re proud of the fact that our employees share that commitment.  

We have been recognized as a “Best Places to Work” in Arkansas, Florida, and Hawaii. You’ll be rewarded with opportunities for personal and professional development and opportunities for advancement.  This, coupled with our engaging culture and a comprehensive benefits package, ensures we are committed to our employees.   

Check out how we make a meaningful difference in the lives of others! 

https://player.vimeo.com/video/518665804  

What We Offer You: 

  • A culture that values employees and celebrates, empowers, and inspires a diverse workforce
  • Outstanding and affordable benefits package
  • PTO provided at date of hire
  • 11 paid holidays
  • 401(k) with up to 6% match; fully vested from day 1
  • Remote opportunities with company-provided equipment
  • Team-oriented, collaborative group of peers
  • Career advancement opportunities
  • Leadership mentoring program
  • Tuition Reimbursement
  • Employee Assistance Program
  • Inclusion Council and Employee Resource Groups
  • Recharge Days and Volunteer Time Off
  • This is a remote position.  

Life Takes You Places!  Are you ready to join us? 

The full salary range for the Supervisor - Data Services is $87,000 - 160,000. Actual salaries will vary by geographic location and are based on factors such as candidate’s qualifications, experience, skills, competencies, and company tenure & equity. In addition to base compensation, this role is eligible for an annual incentive plan based on company performance and individual performance.

Supervisor - Data Services Overview

Supervises the day-to-day work performed by the Data Services team, with a focus on Data Engineering, BI Reporting, and Data Operations / Production Support. This is a hands-on leadership role responsible for work planning, team execution, and operational reliability of data pipelines, data stores, and reporting deliverables. Partners closely with IT and business stakeholders to deliver trusted data products and analytics while embedding data management and data governance best practices (metadata, lineage, data quality, access controls, and standards) into delivery and operations. Responsible for ensuring corporate data assets and reporting outputs supported by the team align with IT policies, security requirements, and applicable regulatory requirements (e.g., HIPAA, Sarbanes-Oxley).

Essential Duties:

  • Supervises day-to-day execution across Data Engineering, BI Reporting, and Data Operations / Production Support; assigns work, balances priorities, and removes blockers
  • Participates in technical planning for data platform, database, and reporting initiatives; translates roadmap items into executable work
  • Evaluates operational data and reporting needs; partners with stakeholders to gather requirements and recommend solutions
  • Plans and tracks delivery for planned and ad hoc work (work requirements, sequencing, estimates, and status reporting)
  • Provides technical direction (standards, troubleshooting, work procedures) and supports code/solution reviews and operational readiness
  • Makes recommendations regarding priorities, operational improvements, and data service practices that influence outcomes for the broader functional area
  • Leads incident response for data pipelines and reporting: triage, root cause analysis, corrective actions, and documentation
  • Oversees production support practices (monitoring/alerting, deployments, scheduled jobs, runbooks) to meet reliability and SLA expectations
  • Evaluates and helps implement new data tools/solutions; supports integration of new technologies and initiatives (readiness, migrations, knowledge transfer)
  • Ensures adoption of data governance and data management practices (metadata, lineage, data quality monitoring, access controls, and reporting governance)
  • Ensures data and information security practices are followed, including least-privilege access and secure handling of sensitive data (e.g., PHI)
  • Ensures work is performed in accordance with company policies, department procedures, and established technical standards; reinforces consistent execution across the team
  • Coordinates work intake and delivery with customers, vendors/Partners, and other IT teams; communicates status, risks, and dependencies
  • Monitors individual and team performance (timeliness, quality, and SLA adherence); provides feedback, coaching plans, and follow-up to close performance gaps
  • Performs other related duties and responsibilities as assigned

Required Knowledge, Skills, and Abilities:

  • Knowledge of data engineering concepts and practices (data integration, ETL/ELT, scheduling/orchestration, reliability, and operational support)
  • Knowledge of BI/reporting concepts, including semantic layers, report development lifecycle, and supporting consistent metric definitions
  • Working knowledge of data management and data governance practices, including metadata, lineage, data quality, stewardship, and reporting governance
  • Ability to lead day-to-day work delegation, prioritize competing demands, and coordinate delivery across multiple workstreams
  • Strong customer partnership skills, including requirements clarification, expectation setting, and communicating status/risks clearly
  • Strong analytical and problem-solving skills, including incident triage, root cause analysis, and preventive improvement mindset
  • Understanding of security, compliance, and data protection expectations (e.g., HIPAA/PHI, regulatory reporting, retention, appropriate access controls)
  • Strong verbal and written communication skills and ability to collaborate effectively with technical and non-technical stakeholders
  • Understanding of project delivery practices and basic project management concepts (planning, sequencing, dependencies, and milestones)

Required Education and Experience:

  • Bachelor's Degree. May substitute equivalent work experience or demonstrated competency for education
  • 3 – 5 years’ experience as a Team Lead
  • 7+ years IT experience, with 5 of those years focusing on building large scale application development and application system design
  • Experience managing customer requirements or demands
  • Or, equivalent military experience

Preferred Education and Experience:

  • Master’s Degree in Computer Science or related technical field
  • Experience leading or serving as a team lead in one or more areas: data engineering, BI/reporting, or data operations/production support
  • Experience with a BlueCross BlueShield Plan or other health and/or life insurance-related company
  • Experience working in regulated data environments and supporting data governance practices (metadata, lineage, data quality, access controls)
  • Experience with enterprise data warehouse/data repository concepts and supporting large corporate data repositories, reporting, data marts, and analytics consumers
  • Experience leading project teams including meeting deliverable dates, leading a work team(s) and direct customer contact
  • Experience managing customer requirements or demands

Working Conditions (Physical Demands):

  • Normal, no adverse or hazardous conditions