Data Analyst

Data Analyst

Analyze and interpret complex data sets to provide actionable insights that support business decisions. Develop and maintain data catalogs and data dictionaries to ensure data governance and accessibility across the organization.

Essential Functions

• Collect, organize, and analyze data from various sources to identify trends, patterns, and insights.
• Create and maintain data catalogs to standardize and document data sources, attributes, and lineage.
• Develop and manage data dictionaries to ensure consistent definitions and proper usage of data elements.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Design and build dashboards, reports, and visualizations to communicate findings effectively.
• Ensure data quality by performing data cleaning, validation, and standardization.
• Contribute to the improvement of data governance practices and compliance with data privacy regulations.
• Provide recommendations based on data analysis to support strategic planning and operational efficiencies.

Knowledge, Skills, & Abilities

• Proficiency in data analysis tools such as SQL, Python, R, or equivalent.
• Proficiency in DAX queries.
• Experience with data cataloging tools (e.g., Purview, Alation, Collibra) and maintaining data dictionaries.
• Strong understanding of data governance, data quality, and metadata management.
• Advanced Excel skills and BI tools like Power BI or Tableau.
• Ability to communicate complex data findings in a clear, concise manner to non-technical stakeholders.
• Problem-solving mindset with strong attention to detail.
• Ability to manage multiple projects and prioritize effectively.
• Familiarity with Deltek CostPoint, Workday, Spectrum Viewpoint, Salesforce, etc.
• Familiarity with APIs, Rest APIs, and their functions.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of experience in data analysis, including creating and maintaining Power BI dashboards and reports.
• Demonstrated experience in working with large data sets and advanced analytics techniques.
• Familiarity with cloud-based data platforms is a plus.
• Ability to obtain a Security Clearance

Working in a fast-paced multi-tasking customer service oriented environment requiring a high degree of efficient and effective performance. Adaptability regarding schedule and task changes is necessary to accommodate changing priorities. Overtime may be required.

The Company's policy is to select, place, train and promote the most qualified individuals based upon relevant factors such as work quality, attitude and experience, so as to provide equal employment opportunity for all employees in compliance with applicable local, state and federal laws and without regard to non-work related factors such as race, color, religion/creed, sex, national origin, age, disability, marital status, veteran status, pregnancy, sexual orientation, gender identity, genetic information, citizenship or other protected status. When applicable, the Company's policy of non-discrimination applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, training, transfer, promotion, placement, layoff, compensation, termination, reduction in force and benefits.

It is the Company's business philosophy and practice to provide reasonable accommodations, according to applicable state and federal laws, to all qualified individuals with physical or mental disabilities.