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Chief Data Analytics Jobs in Arkansas (NOW HIRING)

Moonshot

Chief Financial Officer

Lewisville, AR

The CFO will set the financial vision, own enterprise capital strategy, and operate as a key ... Analytics * Ensure pricing models across all business lines are anchored in validated cost data and ...

CEDENT

Sr. Data Scientist

Bentonville, AR

... analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc ... CMO • Present media mix insights to different levels of senior clients • Explain complex ...

Gartner

Executive Partner - CIO Advisory

Little Rock, AR · On-site

... Data, Cloud, etc.) * The ideal candidate(s) should be able to demonstrate exposure to large E2E ... Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and ...

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Chief Data Analytics information

What does a chief data analytics do?

A Chief Data Analytics Officer (CDAO) is responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision making. They lead teams that collect, analyze, and interpret data to support business goals and drive innovation. The CDAO ensures that data governance, quality, and privacy standards are met, while also promoting a data-centric culture across the company. Their work helps organizations leverage data assets to gain competitive advantage and improve performance.

How does a chief data analytics typically collaborate with other departments to drive data-driven decision making?

As a Chief Data Analytics professional, you'll work closely with leaders from departments such as marketing, finance, operations, and IT to identify key business challenges and opportunities where data can provide actionable insights. Regular cross-functional meetings, workshops, and data strategy sessions are common to ensure alignment on goals and data priorities. You'll also guide teams on best practices for data collection, analysis, and interpretation, fostering a culture of data-driven decision making throughout the organization. Building strong relationships and maintaining clear communication with stakeholders is essential to drive successful analytics initiatives and support organizational growth.

What are the key skills and qualifications needed to thrive as a chief data analytics, and why are they important?

To thrive as a Chief Data Analytics, you need advanced expertise in data science, statistical analysis, and business intelligence, often supported by a master's or doctoral degree in a quantitative field. Familiarity with analytics platforms (such as Tableau, Power BI), big data tools (like Hadoop, Spark), and programming languages (Python, R), as well as certifications in data analytics or management, are typically required. Strategic thinking, strong leadership, and effective communication skills are essential to bridge the gap between technical teams and business stakeholders. These competencies are crucial for driving data-driven decision-making, aligning analytics initiatives with organizational goals, and delivering measurable business value.

What is the difference between Chief Data Analytics vs Data Analyst?

AspectChief Data AnalyticsData Analyst
CredentialsAdvanced degrees (Master's, PhD), certifications in data management and analyticsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership, overseeing analytics teams, executive collaborationData analysis, reporting, and visualization tasks, often under supervision
Employer & Industry UsageUsed in large organizations, tech firms, finance, healthcareCommon across various industries, including retail, marketing, finance

Chief Data Analytics focuses on strategic leadership, managing analytics teams, and aligning data initiatives with business goals. Data Analysts perform hands-on data analysis, reporting, and visualization. Both roles require strong analytical skills, but the Chief Data Analytics role involves higher-level decision-making and leadership responsibilities.

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

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

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

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

What cities in Arkansas are hiring for Chief Data Analytics jobs?

Cities in Arkansas with the most Chief Data Analytics job openings:

Chief Data Analytics jobs near you

Team Lead/Director of Data Analytics

YourCode

Little Rock, AR • On-site

Full-time

Re-posted 3 days ago

Job description

 Team Lead/Director of Data Analytics
Location: Arkansas
Job Type: Full-Time
Reporting to: CTO
Industry: Financial Technology (Fintech) - Managed Services
Role Overview
We are seeking a strategic and experienced Team Lead/Director of Data Analytics to lead the design and execution of enterprise-wide analytics initiatives for our client. Leading the analytics team, this role sits at the intersection of technology leadership, client advisory, and data strategy, and is pivotal to the continued innovation and growth of their services.
As the Team Lead/Director of Data Analytics, you will oversee all aspects of delivery and architecture of the modern data platform. You will collaborate with clients, executive stakeholders, and technology teams to champion the adoption of analytics solutions that generate meaningful insights, enhance operational effectiveness, ensure adherence to regulatory standards, and foster innovation that benefits both customers and internal teams.
About the organization
Our client is a well-established software house specializing in managed services for the financial technology (fintech) sector. Their solutions support a growing portfolio of banks, credit unions, and fintech innovators by enabling secure, scalable, and intelligent financial operations.
As a primarily Microsoft-based environment, they leverage Azure and other Microsoft technologies to deliver robust, compliant, and future-ready data and analytics solutions. The company was founded by a team of seasoned entrepreneurs who have managed to successfully take the organization from inception to a public listing on the stock exchange - bringing a wealth of experience, vision, and executional excellence to this venture.
They are a growth-driven, mission-aligned organization focused on building resilient, client-centered data platforms that power decision-making and innovation across the financial services ecosystem.
Key Responsibilities
Strategic Leadership
  • Develop and lead the overall vision for enterprise analytics, aligning initiatives with organizational objectives, compliance standards, and customer expectations;
  • Convert strategic business priorities into actionable plans across data engineering, reporting & business intelligence, AI/ML, and advanced analytics functions;
  • Serve as a champion for analytics-driven decision making, building executive support and securing necessary investments;
  • Participate in cross-functional leadership groups to influence enterprise-wide technology strategies and business roadmaps from a data and analytics perspective;

Team & Organizational Leadership
  • Direct and nurture a high-performing analytics organization, including Data Engineering, BI, Data Science enablement, and Governance functions;
  • Cultivate a high-accountability environment that emphasizes technical excellence, innovation, and continuous professional development;
  • Oversee talent acquisition, retention strategies, and performance management across the analytics team;
  • Manage and optimize the analytics operating budget, including headcount, platforms, and cloud infrastructure, ensuring resource allocation aligns with strategic outcomes;
  • Collaborate closely with Finance to maintain budget discipline, manage vendor relationships, and transparently report value delivered relative to investment;
  • Monitor and forecast usage-based cloud expenses (e.g., Azure Databricks, Data Factory, storage, licensing), proactively adjusting to balance performance and cost-effectiveness;
Data Architecture & Platform Stewardship
  • Lead the architecture and continuous enhancement of a cloud-native data platform, leveraging tools such as Azure Data Factory, Databricks (Python, SQL), dbt, and Power BI;
  • Promote and operationalize medallion architecture principles (bronze/silver/gold layers) for scalable and efficient data processing;
  • Define and implement data modeling standards (e.g. dimensional modeling for analytics, transactional schema for OLTP), ensuring cross-platform integration;
  • Drive infrastructure automation and repeatability via Infrastructure-as-Code practices using tools like Terraform;
  • Integrate advanced data governance tools (e.g. Unity Catalog, Microsoft Purview) to manage data lineage, security, and role-based access;
Execution & Delivery Excellence
  • Lead prioritization and execution of analytics initiatives, ensuring alignment with business goals and timely delivery;
  • Embed Agile frameworks to improve team velocity, stakeholder feedback loops, and the delivery of tangible outcomes each sprint;
  • Uphold engineering excellence by institutionalizing standards around source control (Git/GitHub), CI/CD, peer reviews, and automated testing;
  • Oversee development and release of analytics solutions for internal and external users, ensuring accuracy, usability, and timely delivery;
Data Security & Regulatory Compliance
  • Ensure all analytics solutions comply with applicable regulations in financial services, including privacy, reporting, and risk management standards;
  • Implement strict controls to protect Sensitive Personally Identifiable Information (SPII) and ensure adherence to frameworks such as PCI DSS and SOC;
  • Establish governance policies and stewardship practices across structured and unstructured data assets;
  • Serve as the executive accountable for ensuring data privacy and security within the analytics domain, including incident response;

Role Requirements
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Information Systems, or related field/ equivalent experience;
  • 8+ years of experience in data engineering, data analytics, or data platform, with at least 3 years in a leadership role (Director-level)/5+yrs progressive experience (Team Lead level);
  • Extensive hands-on experience with Azure Databricks (including Python, SQL, Delta Lake, real-time streaming, and Delta Live Tables) and Azure Data Factory for orchestrating complex data pipelines;
  • Skilled in using dbt (SQL and Jinja templating) for data transformation workflows and Power BI for designing intuitive dashboards and visual analytics;
  • Strong expertise in data modeling methodologies, including:
    • Dimensional modeling (e.g., Kimball methodology) for analytical/OLAP environments;
    • Relational modeling for transactional systems (e.g., SQL Server, DB2)
  • Proficient in source control and DevOps practices, including Git/GitHub workflows, continuous integration and delivery (CI/CD), and Infrastructure as Code using Terraform;
  • Deep understanding of data governance, privacy, and compliance, particularly in regulated sectors. Experienced in handling SPII and ensuring conformance with PCI DSS, SOC, and GDPR standards;
  • Comfortable communicating with executive stakeholders; capable of articulating the business value of technical and analytical solutions;
  • Demonstrated success in leading platform modernization initiatives and scaling analytics capabilities across large, complex organizations;
  • Advanced skills in Power BI, including report design, performance tuning, and dashboard development;
  • Extensive experience with Microsoft SQL Server and SQL Server Integration Services (SSIS) for data integration and transformation;
  • Adept at translating business needs into functional specifications and designing data solutions that align with stakeholder expectations;
  • Self-motivated, adaptable, collaborative, and highly proactive; thrives in dynamic, team-oriented environments;
  • In-depth knowledge of data architecture patterns, including data marts, centralized warehouses, multidimensional data models, data lake storage, and large-scale data migration strategies;
  • Familiarity with mainframe systems and DB2 considered a plus;
  • Exposure to Linux/Unix environments is beneficial;
  • Technically versatile, with strong problem-solving skills and a mature approach to decision-making;
  • Well-versed in methodologies such as ITIL, Agile, SDLC, and DevOps, with a mindset focused on automation and continuous delivery;
  • Willing to participate in on-call rotations as needed for operational support;
  • Ability to apply DevOps principles and DataOps practices to streamline data warehouse development and deployment;
  • Ability to prepare and optimize the analytics platform to support machine learning, AI-driven insights, and real-time data processing;
  • Ability to lead efforts to ensure the organization is equipped for secure data collaboration, including external integrations and data sharing frameworks;
  • Ability to maintain a forward-looking perspective, staying updated on emerging trends such as open table formats, real-time analytics, AI copilots, and regulatory technology, and translating these developments into practical strategies;
  • Ability to position analytics as a core enabler of customer satisfaction, operational efficiency, and compliance leadership;

Why Join Us?
  • Work under proven founders with a track record of scaling successful startups to IPO;
  • Help shape the data strategy of high-growth fintech firms;
  • Be part of a company that's making real-world impact in regulated, high-stakes environments;
  • Enjoy a competitive compensation package, growth opportunities, and a modern tech stack;

Next Steps
We understand that top talent moves fast - and so do we. The hiring process is designed to be pragmatic and efficient, with minimal unnecessary steps. If you're interested in the role, we encourage you to apply directly or reach out to YourCode to schedule a quick introductory call. From there, we'll move swiftly to determine alignment and next steps.

Apply