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Lead Analytics Data Jobs

3 jobs found

1d ago

Lead Data Analyst

Govcio LLC Fort Meade, MD

Fort Meade, MD

1d ago

$144k - $154k/yr Full time Artificial Intelligence Data Data Analysis

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Job Description

GovCIO LLC is hiring a Lead Data Analyst to define a data strategy for converting autonomous pentesting outputs into structured datasets for AI training and advanced analytics.

Responsibilities

Lead the development of a data strategy that transforms autonomous pentesting outputs into structured, contextualized datasets for AI training and advanced analytics
Define data taxonomies, metadata requirements, labeling approaches, and governance considerations to keep collected data representative, comparable, and usable across diverse environments
Ensure data collected during IOC supports future AI development without loss of analytic fidelity
Develop data taxonomies, metadata, and labeling strategies
Ensure consistency and representativeness across datasets
Support governance and data quality planning

Requirements

Clearance Required: TS/SCI CI Poly
Experience: 10 years in data analysis, analytics strategy, or data governance
Familiarity with large-scale or heterogeneous datasets
DoD 8570.01-M IAT Level II (includes options such as Sec+CE, SSCP, CND, CCNA Security, etc.)

Location

Onsite in Fort Meade, MD

Compensation

USD 144,000 - 154,000 per year

Education

High School

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4d ago

Senior Analytics Engineer

The Inland Real Estate Group of Companies Oak Brook, IL

Oak Brook, IL

4d ago

$127k - $165k/yr Full time Senior Analytics Azure Data Engineer

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Job Description

Inland Real Estate Group of Companies is building out its Enterprise Analytics capabilities, and this Senior Analytics Engineer role sits at the center of that work. You will lead analytics strategy and help drive the Atlas Data Foundation Program, bringing governed data domains into trusted reporting and AI-ready analytics using Microsoft and Azure technologies.

The position is based in Oak Brook, IL and operates onsite. The annual base salary range is USD 126,580 to 164,554, and the role is eligible to participate in the company’s annual discretionary bonus program.

What you’ll do

Act as a lead analytics partner for the Atlas Data Foundation Program, converting governed data domains into trusted reporting assets.
Partner with stakeholders across investment management, finance, asset management, property management, leasing, and investor relations to define and track key business outcomes.
Contribute to Inland’s Enterprise Analytics roadmap by evaluating data sources, APIs, and emerging technologies.
Participate in architecture reviews, platform decisions, system migrations, and enterprise-wide data initiatives.
Design, develop, and maintain scalable data ingestion pipelines feeding a centralized enterprise reporting environment.
Build and support integrations with internal applications and third-party data providers using REST and SOAP APIs.
Create and optimize dimensional data models, semantic layers, and enterprise reporting structures.
Develop ETL/ELT processes and ensure reliability through monitoring, troubleshooting, and performance optimization.
Work extensively in the Microsoft/Azure ecosystem, including Microsoft Fabric, OneLake, Azure Data Factory, Azure Synapse, and Azure Storage.
Design and manage enterprise dashboards and visualizations to support business insights.
Establish reporting standards and best practices across the organization.
Enable self-service analytics through certified datasets, reusable templates, governance controls, and user enablement.
Prepare enterprise data models for AI-driven analytics and natural language querying.
Support conversational analytics initiatives, including Copilot in Power BI.
Automate recurring reporting, investor reporting workflows, and data validation activities.
Explore predictive analytics and machine learning opportunities, including forecasting and revenue optimization models.

Required qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, Economics, or a related discipline.
8+ years of progressive experience in business intelligence, analytics engineering, data engineering, or a related field.
Advanced Power BI and data visualization expertise.
Strong SQL and T-SQL development skills.
Experience with dimensional modeling, semantic layer design, and enterprise data warehousing.
Experience developing REST and SOAP API integrations.
Hands-on experience with Azure Data Factory, Azure Synapse, Azure Storage, and designing/orchestrating ETL/ELT pipelines.
Practical knowledge of data governance, stewardship, quality, and information security practices.
Practical experience with Microsoft Copilot and AI-enabled analytics solutions.
4+ years hands-on Power BI experience, including semantic modeling, advanced DAX, and workspace administration.
3+ years experience in commercial real estate, investments, private equity, financial services, or related industries.
2+ years experience developing and maintaining API-based integrations and cloud data pipelines.

Technologies

Microsoft Fabric, OneLake, Azure Data Factory, Azure Synapse, Azure Storage
Power BI, DAX
REST, SOAP
Microsoft Copilot, ETL/ELT
Copilot in Power BI

Benefits

Medical/Dental/Vision insurance (PPO)
Participation in the company 401(k) plan with company match
Vacation time, Nine paid holidays, and Three floating holidays per year
Sick time
Tuition reimbursement opportunity
Company-paid life insurance equaling your annual base salary
Company-paid short-term and long-term disability
Paid parental leave

Preferred experience

Microsoft Fabric and OneLake administration, including Lakehouse, Direct Lake, and Fabric administration
Python for data engineering, analytics, and machine learning
Snowflake or Databricks experience
Tableau experience
Data catalog and governance platforms such as Microsoft Purview or OvalEdge
Power Automate, Copilot Studio, or workflow automation platforms
Git, Azure DevOps, and analytics deployment pipelines
Master data management and entity resolution
Experience with DealCloud, Yardi, Salesforce, or HubSpot

Equal employment opportunity

Inland is a drug-free workplace. Pre-employment background checks and drug screening are conducted for all new hires in accordance with applicable laws and regulations.
Inland is committed to equal employment opportunity and considers applicants for all positions without regard to race, color, religion, sex, national origin, age, sexual orientation, familial status, marital status, veteran status, disability, or any other status protected by applicable law.
If you require a reasonable accommodation or an alternative method of assessment during any stage of the recruiting process, contact the Talent Acquisition team at recruiting@inlandgroup.com.

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4d ago

Data Analyst, Lead

Booz Allen Hamilton Macdill AFB, FL

Macdill AFB, FL

4d ago

$78k - $176k/yr Full time Manager Analytics Big Data

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Job Description

As a Data Analyst, Lead at Booz Allen Hamilton, you will support USCENTCOM’s data lake environment for machine learning and artificial intelligence development campaigns. This client-facing role focuses on analyzing structured and unstructured data to help translate data meaning into actionable impact for warfighters.

Working onsite at Macdill AFB, FL, you will collaborate with stakeholders and intelligence-focused teams to design data approaches, define performance measures, and communicate findings through clear recommendations and visualizations.

What you’ll do

Use data analytics expertise to support client and stakeholder relationships.
Research, develop, and test data methodologies, and deliver cross-functional solutions across collection, interpretation, evaluation, and analysis of large data sets.
Guide decision-making across multiple organizations by contributing to impactful work.
Apply communication skills to simplify technical requirements and trends for different audiences.
Present data findings and recommendations using databases, scripting languages such as SQL, Python, or R, and Microsoft Office Suite.
Establish quantitative and qualitative metrics and key performance indicators to support technical outcomes.
Create data visualizations using formats such as graphs, tables, and PowerPoint slides.
Build communication and technical skills by creating data-centric solutions for a premier Joint Combatant Command.

Required qualifications

5+ years of experience designing algorithms and data manipulation capabilities using R, Python, or SQL.
Knowledge of identifying new sources of data and methods to improve data collection, analysis, and reporting.
Ability to develop data pipelines and integrate data tools and solutions that enable self-service frameworks for data consumers to monitor and report on data.
Ability to collaborate with intelligence and data analysis teams to produce qualitative and quantitative data supporting intelligence products.
Active TS/SCI clearance; willingness to take a polygraph exam.
Bachelor’s degree in a Computer Science field.

Technologies you may work with

R, Python, SQL
Microsoft Office Suite, PowerPoint
MapReduce, Hadoop, Hive, EMR, Kafka, Spark
Gurobi, MySQL
Plotly, Seaborn, ggplot2
C++, JavaScript, Go

Compensation

USD 77,500 - 176,000 per year

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Security and eligibility

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Identity verification

The hiring process includes an identity verification step leveraging advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
You are expected to be on camera during interviews and assessments.
Booz Allen may take your picture to verify your identity and prevent fraud.

AI use policy for interviews

AI tools are part of daily work, but using artificial intelligence (or other tools) to assist with interview responses is prohibited unless permission is explicitly provided.

Work model

Onsite: work will primarily be performed full-time at a customer facility, with collaboration as required by the role.

Non-discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

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