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Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91.10K - $114.90K/yr

Data Intelligence LLC Job Openings >> Senior Data Analyst Senior Data Analyst Summary Title: Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data Intelligence is ...

NewRocket

AI Data Intelligence Lead

OR · Remote

AI Data Intelligence Lead AI Foundry | NewRocket Location: Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us NewRocket is the AI-first Elite ServiceNow ...

Acrisure

Data Analyst, Data Intelligence

Austin, TX · On-site

Data Analyst, Data Intelligence Austin, TX or Grand Rapids, MI (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91.10K - $114.90K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data ...

NewRocket

AI Data Intelligence Lead

AI Data Intelligence Lead AI Foundry | NewRocket Location: Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us NewRocket is the AI-first Elite ServiceNow ...

Burson

Analyst, Insights, Data & Intelligence

Boston, MA · On-site +1

The Business Insights, Data & Intelligence (BIDI) team sits at the heart of this work-turning data into strategic insight that drives storytelling, campaign performance, and business outcomes. Due to ...

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How much do data intelligence jobs pay per year?

As of May 31, 2026, the average yearly pay for data intelligence in the United States is $132,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a Data Intelligence job?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What are the key skills and qualifications needed to thrive in the Data Intelligence position, and why are they important?

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

What are the typical daily responsibilities of a Data Intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.
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Infographic showing various Data Intelligence job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 84% Full Time, 8% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $132,713 per year, or $63.8 per hour.
Manager, Data & Intelligence

Manager, Data & Intelligence

Great Day Improvements: A Family of Brands

Twinsburg, OH • On-site

$140K - $150K/yr

Full-time

Posted 19 days ago

Great Day Improvements rating

6.8

Company rating: 6.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

23rd of 47 rated home improvement suppliers and fitters

Job description

Overview
Great Day Improvements - Manager, Data & Intelligence (Remote, USA)
Company Overview
Since its founding 13 years ago, Great Day Improvements, LLC has grown rapidly toward its vision of becoming one of the largest home improvement companies in the U.S. Headquartered in Twinsburg, Ohio, Great Day Improvements is a $1.5 billion, vertically integrated, direct-to-consumer provider of premium home improvement products.
The company's family of brands includes Patio Enclosures®, Champion Windows and Home Exteriors®, Universal Windows Direct®, Apex Energy Solutions®, Stanek Windows®, Leafguard®, Englert®, and The Bath Authority.
With an expanding workforce of over 4,800 employees across 130 metropolitan markets throughout the U.S., Great Day Improvements continues to rank among the top home improvement companies nationwide and is one of the fastest growing private companies in America.
Summary
The Manager, Data & Intelligence is a hands-on leadership role responsible for overseeing both the Business Intelligence (BI) and Data Engineering teams. Reporting to the Director, Data & Intelligence, this role serves as a critical force multiplier, driving BI modernization, supporting data engineering workstreams tied to AI initiatives, and providing day-to-day people management across a mid-sized team of 6 to 10 analysts and engineers.
A central focus of this role is leading the transition to a Databricks Apps-forward BI platform, where AI-assisted programming accelerates the development of high-quality, self-service dashboards. The ideal candidate will bring deep marketing domain expertise, ideally honed at a Big 4 consulting firm, and the ability to translate complex marketing analytics needs into scalable, governed BI solutions.
This person will also serve on the company's Data Governance panel and act as the primary point of contact for business stakeholders on BI-related initiatives, balancing strategic thinking with operational execution.
Salary Range: $140,000 - 150,000
This salary range represents a good faith estimate of the compensation for this position. Actual compensation may vary based on education, experience, knowledge, skills, abilities, internal equity, and alignment with market data
Responsibilities
BI Modernization & Databricks Apps Strategy
  • Lead the migration from legacy BI tools (Tableau Cloud, Power BI) to a Databricks Apps-centered platform for dashboard development and analytics delivery
  • Champion AI-assisted development practices within the BI team, enabling faster iteration, higher-quality output, and reduced time-to-insight
  • Define standards for dashboard design, data visualization, and semantic layer governance within the Databricks ecosystem
  • Evaluate and integrate emerging AI-assisted development tools and workflows to continuously improve BI delivery speed and quality

People Management & Team Development
  • Directly manage, mentor, and develop a team of 6 to 10 data analysts and data engineers supporting multiple business units
  • Set clear priorities, assign projects, conduct performance reviews, and foster a collaborative, growth-oriented team culture
  • Serve as a working manager, willing to build dashboards, write queries, and troubleshoot alongside the team when needed
  • Identify skill gaps and drive professional development plans, particularly around Databricks, AI-assisted tooling, and modern data engineering practices

Data Engineering Oversight & AI Project Support
  • Oversee the data engineering team's workstreams, ensuring data pipelines, ingestion processes, and transformations are reliable, performant, and well-documented
  • Coordinate data engineering tasks related to the company's AI initiatives, partnering with the Director to prioritize and sequence work effectively
  • Ensure data engineering deliverables meet quality, security, and governance standards required by downstream BI and AI consumers

Stakeholder Engagement & Marketing Analytics
  • Serve as the primary liaison between business stakeholders and the Data & Intelligence team for all BI initiatives
  • Lead regular stakeholder meetings to intake requests, prioritize the backlog, align on reporting goals, and manage competing demands
  • Bring strong marketing domain knowledge to the role, translating marketing KPIs, attribution models, and campaign performance needs into actionable BI solutions
  • Communicate complex data insights and project updates clearly and persuasively to both technical and non-technical audiences, including executive leadership

Data Governance
  • Sit on the company's Data Governance panel, contributing to policies around data quality, metadata management, data classification, and access controls
  • Establish and enforce BI-specific governance standards including report certification, naming conventions, and semantic layer definitions
  • Collaborate with data engineering and IT to ensure governance frameworks are operationalized across the analytics ecosystem

Qualifications
Required Qualifications
  • Bachelor's degree in Business Analytics, Data Science, Information Systems, Marketing Analytics, or a related field
  • 7+ years of progressive experience in Business Intelligence, Data Analytics, Data Engineering, or a related discipline
  • 3+ years of direct people management experience, including hiring, performance management, and team development
  • Strong marketing domain knowledge, including familiarity with marketing KPIs, attribution modeling, campaign analytics, and customer lifecycle metrics
  • Hands-on experience with modern BI platforms (Databricks, Tableau, Power BI) including administration, governance, and dashboard development
  • Solid understanding of data engineering concepts: ELT/ETL pipelines, data modeling, SQL, and cloud data platforms
  • Proven track record of managing complex, cross-functional analytics projects with multiple competing stakeholder priorities
  • Excellent interpersonal, presentation, and communication skills with the ability to influence at the executive level

Preferred Qualifications
  • Consulting background at a Big 4 firm (Deloitte, EY, PwC, KPMG) or equivalent management consulting experience with a focus on data & analytics or marketing transformation
  • Experience with Databricks (including Databricks SQL, Unity Catalog, and/or Databricks Apps)
  • Familiarity with AI-assisted development tools and their application to BI and data engineering workflows
  • Experience managing BI environments across multiple brands or business units
  • Exposure to Azure data technologies (Azure Data Lake, Azure DevOps, Databricks on Azure)
  • Experience working in a direct-to-consumer, home services, or marketing-intensive industry
  • Experience participating in or establishing data governance programs

Competencies
  • Strategic thinker who connects technical solutions to marketing and business outcomes
  • Exceptional collaborator and communicator who builds trust across technical and non-technical teams
  • Comfortable operating at both the strategic and tactical level, can present to executives and debug a pipeline in the same day
  • Skilled at balancing structure with flexibility in a fast-paced, evolving data environment
  • Passionate about modern BI, AI-assisted workflows, and fostering a data-driven culture
  • Strong project management instincts with the ability to keep multiple workstreams on track without formal PM tooling

Success Measures
Success in this role will be measured by:
  • Successful migration roadmap and early adoption of Databricks Apps as the primary BI platform
  • BI reports and dashboards are trusted, widely adopted, and delivered faster through AI-assisted development practices
  • Stakeholder satisfaction with BI team responsiveness, quality of deliverables, and marketing analytics depth
  • Data engineering workstreams supporting AI initiatives are delivered on time and meet governance standards
  • Team growth, retention, skill development, and engagement across both BI and data engineering functions
  • Active, meaningful contribution to the Data Governance panel and adoption of governance standards across BI platforms
  • Data literacy and self-service adoption increase across the organization, particularly within marketing

GDI is an Equal Employment Opportunity Employer

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