1

Data Analytics Manager Jobs in Nottingham, MD (NOW HIRING)

... data analytics. Responsibilities * Conducts research on compensation programs and gathers ... With guidance, may manage a small compensation project that requires a standard solution, including ...

Work for the Business Operations team under the IT Project Management Office (PMO) to provide data analysis related services for the Exchange. Integrate, work with, pilot, and implement solutions ...

... managed tasks * Ability to work within a diverse team * Comfortable multitasking on time-sensitive tasks without diminished quality of work Preferred Qualifications: * Advanced data analytics and ...

... managed tasks * Ability to work within a diverse team * Comfortable multitasking on time-sensitive tasks without diminished quality of work Preferred Qualifications: * Advanced data analytics and ...

Ability to manage multiple tasks in an agile, dynamic environment. Preferred Qualifications * Knowledge of data analysis, visualization, and natural language processing tools and procedures ...

Ability to manage multiple tasks in an agile, dynamic environment. Preferred Qualifications * Knowledge of data analysis, visualization, and natural language processing tools and procedures ...

Experience in project management and team leadership * Proficiency with cloud-based data platforms and modern analytics tools * Demonstrated ability to translate complex data into actionable insights ...

EV Data Analysis Lead

Columbia, MD · On-site

$107K - $161K/yr

Experience in project management and team leadership * Proficiency with cloud-based data platforms and modern analytics tools * Demonstrated ability to translate complex data into actionable insights ...

Showing results 41-60

Data Analytics Manager information

See Nottingham, MD salary details

$30.9K

$96.7K

$171.2K

How much do data analytics manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analytics manager in Nottingham, MD is $96,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $124,900.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are popular job titles related to Data Analytics Manager jobs in Nottingham, MD? For Data Analytics Manager jobs in Nottingham, MD, the most frequently searched job titles are:
What cities near Nottingham, MD are hiring for Data Analytics Manager jobs? Cities near Nottingham, MD with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Nottingham, MD as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,686 per year, or $46.5 per hour.

Operations Research / Systems Analyst (ORSA) - Data Engineering and Analytics (5406)

SMX

Hanover, MD

Full-time

Re-posted 9 days ago


Job description

The Operations Research (OR) Analyst - Data Engineering & Analytics Focus provides advanced data integration, architecture, and analytics capabilities to enable quantitative analysis across a Federal Agency's personnel vetting, industrial security, and counterintelligence operations. This position is responsible for transforming disparate, complex data sources into unified analytical datasets that enable the Federal Agency to transition from reactive reporting toward proactive, mathematically grounded forecasting and optimization.

Essential Duties & Responsibilities

Data Integration & Architecture

  • Design and implement data architectures that integrate information from multiple disparate source systems supporting personnel vetting, industrial security, and counterintelligence missions
  • Build and maintain ETL pipelines that extract, transform, and load data from heterogeneous sources including relational databases, flat files, APIs, and legacy systems
  • Develop entity resolution approaches to link person, company, and facility records across systems that lack common unique identifiers
  • Create reusable data integration frameworks that accommodate changes in source system schemas and evolving business rules

Data Quality & Validation

  • Develop data quality frameworks that assess completeness, accuracy, consistency, and timeliness of source data
  • Implement data validation processes that identify and handle missing data, duplicates, temporal inconsistencies, and conflicting information
  • Document data provenance, transformations, quality metrics, and known limitations to ensure analytical reproducibility
  • Collaborate with system owners and data stewards to resolve data quality issues at the source

Analytics & Visualization

  • Apply statistical analysis and exploratory data analysis to understand operational patterns and trends within integrated datasets
  • Develop interactive dashboards and visualization products that communicate complex data insights to technical and non-technical audiences
  • Translate data findings into objective, data-driven insights that support strategic and operational decision-making
  • Create data marts and analysis-ready datasets optimized for specific use cases (process modeling, risk assessment, resource optimization)

Collaboration & Support

  • Partner with modeling/simulation and optimization specialists to define analytical dataset requirements
  • Support advanced analytics by providing clean, well-documented, empirically grounded datasets
  • Participate in cross-functional team activities to maintain technical standards and share knowledge
  • Adapt analytical approaches to work within data availability constraints while maintaining analytical rigor

Required Skills/Experience

  • 8+ years of progressive, hands-on operations research or data analytics experience, including demonstrated application of statistical analysis, data integration, and quantitative methods to real-world operational problems
  • 3-5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
  • Expert-level proficiency in SQL and relational database design, including complex queries, joins, subqueries, and performance optimization
  • Demonstrated, hands-on proficiency in an analytical programming language (Python or R), including libraries for data manipulation (pandas, dplyr), analysis, and visualization
  • Proven experience building ETL pipelines and data integration workflows across multiple disparate data sources
  • Experience with data architecture for analytics (data warehousing, dimensional modeling, data lakes)
  • Experience assessing and improving data quality in complex, multi-source operational environments
  • Ability to translate technical data challenges into clear communication for non-technical stakeholders
  • Experience working with data in secure (classified) government environments
  • Secret clearance required (active or ability to obtain)

Desired Skills/Experience

  • Advanced degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, Information Systems, or a related quantitative discipline
  • Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
  • Experience with entity resolution, record linkage, and master data management techniques
  • Familiarity with both legacy government systems and modern cloud-based data architectures
  • Experience with version control and collaborative development (Git/GitHub)
  • Knowledge of data governance frameworks, metadata management, and data cataloging
  • Experience with big data technologies (Spark, distributed computing)
  • Familiarity with NoSQL databases (MongoDB, Neo4j, graph databases)
  • Data visualization tools (Tableau, Power BI, Plotly, D3.js)
  • Experience with data orchestration tools (Airflow, Prefect, Luigi)
  • API development and integration experience (REST, SOAP)
  • Knowledge of queueing theory, statistical modeling, or optimization methods to better support analytical consumers