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Data Analytics Lead Remote Jobs in Arkansas (NOW HIRING)

Senior or Lead BI Developer

Little Rock, AR ยท Remote

$115K - $173K/yr

This is a remote position. Life Takes You Places! Are you ready to join us? Pay Transparency: The ... Performs complex data analysis to support requirements gathering, metric definition, source ...

This is a remote position. Life Takes You Places! Are you ready to join us? Pay Transparency: The ... Performs complex data analysis to support requirements gathering, metric definition, source ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Perform elasticity analysis across large data sets and category segments to empower data-driven ...

Sr. Analyst, Digital Sales and Activation

Rogers, AR ยท On-site +1

$92K - $109K/yr

... remote work. What will be your key responsibilities: * Optimize Content Strategy with focus on AEO ... Ultimately partnering with our data and analytics team to scale and maintain to tools. * Ad-Hoc ...

Trade Planning Lead - Walmart

AR ยท On-site +1

$25 - $33/hr

Analyze Walmart Scintilla, Circana, sales, and customer data to identify business issues, growth ... Position preferably located in the Bentonville, Arkansas area; remote candidates within the United ...

Showing results 21-40

Data Analytics Lead Remote information

What does a data analytics lead do when working remotely?

A Data Analytics Lead working remotely is responsible for overseeing data analysis projects, managing a team of data analysts, and ensuring the delivery of actionable insights to support business decisions. They collaborate with stakeholders to define analytics goals, design data models, and implement data-driven strategies. Remote Data Analytics Leads use various digital tools to coordinate workflows, monitor project progress, and communicate findings effectively with both technical and non-technical team members. Their role is essential in driving data-centric initiatives and ensuring the accuracy and integrity of analytical results.

What is the difference between Data Analytics Lead Remote vs Data Analyst Remote?

AspectData Analytics Lead RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in leadership rolesBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeading analytics projects, managing teams, strategic planningData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsSimilar industries, often within larger teams or departments

The main difference between Data Analytics Lead Remote and Data Analyst Remote lies in their responsibilities and seniority. The Lead typically manages analytics teams and oversees strategic projects, requiring more experience and leadership skills. In contrast, Data Analysts focus on data collection, analysis, and reporting tasks. Both roles are vital in data-driven organizations, but the Lead holds a broader scope and higher level of responsibility.

What are the key skills and qualifications needed to thrive as a data analytics lead in a remote setting?

To excel as a Data Analytics Lead remotely, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with tools like SQL, Python or R, BI platforms (such as Tableau or Power BI), and cloud data systems is crucial, along with certifications like Certified Analytics Professional or Google Data Analytics. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and translating complex data insights for stakeholders. These competencies ensure effective decision-making, seamless project execution, and impactful data-driven strategies within a remote work environment.

How does a data analytics lead typically collaborate with cross-functional teams in a remote setting?

As a Data Analytics Lead working remotely, you'll frequently coordinate with stakeholders from product, engineering, marketing, and executive teams. This involves leading virtual meetings to clarify requirements, aligning on project goals, and presenting analytical findings in a clear, actionable format. You'll also mentor junior analysts, foster a collaborative team culture through digital platforms, and ensure data-driven insights are effectively integrated into business strategies. Strong communication skills and the ability to manage projects across time zones are key to success in this environment.

What are popular job titles related to Data Analytics Lead Remote jobs in Arkansas?

For Data Analytics Lead Remote jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Data Analytics Lead Remote jobs in Arkansas look for?

The top searched job categories for Data Analytics Lead Remote jobs in Arkansas are:

What cities in Arkansas are hiring for Data Analytics Lead Remote jobs?

Cities in Arkansas with the most Data Analytics Lead Remote job openings:

Supervisor - Data Services -- Remote

USAble Life

Little Rock, AR โ€ข On-site, Remote

$87K - $160K/yr

Full-time

Retirement, PTO

Re-posted 3 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

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.