> Markdown version of [/jobs/ext/4312637-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/4312637-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Analyst

- **Company:** Military Officers Association of America
- **Location:** Alexandria, VA, United States
- **Experience:** Expert
- **Salary:** $116,000.0 - $132,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Microsoft Excel, Artificial Intelligence, Data Analysis, Application Portfolio Management, Cluster Analysis, Data Cleansing, Data Files, Data Governance, Data Mining, Data Visualization, Data Warehousing, Database Queries, Factor Analysis, Python (Programming Language), Logistic Regression, Machine Learning, Raw Data, Power BI, DataOps, Salesforce.Com, Tableau (Software), Performance Monitor, Data Management, Hubspot
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=06dea094b51ae409

## About the Role

· Analytical and data-oriented with the intellectual curiosity to search for the meaning behind the numbers; strong passion for working with data.

· Strong interpersonal, analytical and project management skills, including a thorough understanding of how to translate requests from non-technical staff into queries and reports.

· Ability to generate practical results and recommendations and communicate them clearly verbally, in writing, and through data visualization methods.

· Ability to present complex information in an understandable and compelling manner.

· Strong SQL skills, including but not limited to data model creation or augmentation, queries, aggregations, and query performance optimization

· Ability to use R or Python to support data cleansing, reusable transformation, and leveraging data libraries.

· Experience with building and stewarding enterprise, transactional, and analysis data models,

· Experience building and maintaining extract-transform-load architectures to facilitate cross-functional data analysis (e.g. dbt, etc.)

· Experience using business intelligence tools, including PowerBI and Tableau, to enable end user-driven data analysis and execute complex analysis

· High proficiency with Microsoft Excel

· Experience with tools including Salesforce and Hubspot is highly desirable

· Ability to apply advanced analytic techniques such as machine learning, data mining and statistical modeling to design and implement mathematical models and algorithms to solve real-world marketing problems.

· Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, preferred. Ability to interact professionally with a diverse group of executives, managers, and subject matter experts.

· Ability to work as a member of a team or individually without close supervision.

· Must be capable of operating with minimum supervision. Capable of managing numerous projects simultaneously, meeting deadlines and keeping abreast of details from the planning stage through completion.

· Committed to continued training and learning.

· Personal character and integrity are non-negotiable.

Professional Qualifications and Education Requirements:

· BA or BS degree in business, statistics, and/or marketing.

· At least 5 years' experience working in positions with similar responsibilities.

## Description

Manages, strengthens, and expands the association's data analysis capabilities. Transforms raw data from internal and external sources into actionable information and reusable data sets that can be queried and analyzed by the organization using business intelligence, analytics, visualization, and other solutions (e.g. Python, R, etc.). Advises the organization on data governance processes. Leads the evaluation and utilization of data management and analysis toolsets, enterprise data modeling and design, and data quality initiatives. Identifies opportunities to use analytics to develop new strategies to meet association membership objectives.

Responsibilities include, but are not limited to:

· Understand business processes and data sources, definitions, and values in order to design, steward, and maintain the enterprise data model and standards across the organization's application portfolio.

· Support the selection and implementation of enterprise data solutions, including pipelines, aggregation, analysis, and AI

· Lead and orchestrate data quality initiatives that reinforce the organization's enterprise data model and standards

· Help educate staff on how to use the organization's data resources for independent analysis

· Lead, advise, or support complex data analysis initiatives to ensure the accuracy and comprehensiveness of the analysis and findings. Using data drawn from various sources, conduct ongoing performance monitoring to develop new insights and inform decision-making and strategies.

· Identify, analyze, and interpret trends, patterns, and relationships in complex data sets and make recommendations based on findings.

· Clearly communicate findings and recommendations through oral presentations and written reports using effective data visualization methods.

· Develop critical questions and identify additional analysis that needs to be conducted.

· Design, develop, implement, and maintain business intelligence and reporting solutions, and ensure the accuracy and reliability of key reports, data sets, and analysis tools.

· Serve as point of contact for the data warehouse and ensure it is leveraged to its fullest capacity.