Data Analyst

Job Description

Everforth ECS is seeking a Data Analyst to work in our Arlington, VA office.

Job Description:

This candidate will serve as a key point of contact in managing data target and data quality aspects of the CDM Data Services - BETSIE Program. Successful candidates will have excellent communication skills and will interact with stakeholders spanning multiple Agile teams, program leadership, and customer representatives. All parties have an interest in understanding and/or implementing the data model with quality in mind.

Successful candidates will have an intermediate understanding of data modeling concepts and be able to perform impact analysis on change requests, respond to queries, and facilitate independent analysis efforts. Furthermore, the successful candidate will serve as the liaison for the customer's data quality efforts, participating in regular meetings, representing the CDM Data Services - BETSIE program, and supporting the requirements gathering process.

Specific

Duties Include:

• Ensuring technical and performance objectives related to data collection, processing, and analysis.
• Design and deliver reporting and analytics solutions independently and in collaboration with stakeholders, ensuring alignment with program objectives.
• Collaborate with cross-functional teams to gather and understand data requirements, identify pain points, and opportunities for improved data visualization and interaction.
• Respond to ad hoc data requests, troubleshoot issues, and provide user education on reports and dashboards.
• Create, test, and demo reports and dashboards, actively seeking feedback to refine and enhance user experiences.
• Improve data quality and program metrics by developing appropriate documentation, automating data extraction, and generating visual reports.
• Monitor and analyze system performance metrics, identifying trends or anomalies and reporting findings regularly.
• Research, build and implement new reporting and analytics features.
• Perform other duties as needed to support the program's success.

Salary Range: $93,000 - $140,000

General Description of Benefits

Required Skills

• ship with ability to obtain Public Trust Suitability.
• At least three years of experience analyzing customer data requirements and prescribing and implementing solutions to meet those requirements.
• Must have prior experience working on data models:
  • Developing and documenting data models
  • Adhering to data modeling standards
  • Interpreting data model intent
  • Managing the change process for data models
  • Serve as the SME supporting data modeling efforts
• Must have an excellent understanding of:
  • UML standards and knowledge of entities, attributes, relationships on an ERD
  • Database management systems (i.e. relational, non-relational)
  • Understanding of data normalization processes
• Knowledge of Federal Cybersecurity and Federal Cybersecurity and Risk Management Policies and practices, including: FISMA; NIST 800-37, 800-53, 800-30, 800-39; NISTIR 8286 Series, and FedRAMP.
• Experience creating and maintaining Data Dictionaries and/or Data Catalogs to describe data inventories and schemas to help users understand, locate, and utilize data within the system.
• Knowledge of data transformation processes and experience documenting and maintaining data lineage, esp. traceability of transformed data to source data.
• Experience utilizing data cataloging and governance tools, esp. Alation and Collibra to help organizations improve data management, collaboration, and governance.
• Experience automating assessment of data quality.

Desired Skills

• Bachelor's or University degree/ equivalent experience is preferred.
• Knowledge of cybersecurity tools and technologies.
• Familiarity with Elasticsearch and its components.
• Hands-on experience with database querying, reporting, and analytics.
• Familiarity with Agile/Scrum methodologies.
• Detail-oriented with a strong focus on data accuracy and results.
• Strong problem-solving and analytical skills.
• Possess a sense of urgency with the capability to prioritize and balance multiple tasks, ensuring timely and effective results.
• Highly motivated and diligent, with excellent verbal and written communication skills.

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