Business Data Analyst (Passive Hiring)

At Xentity, we’re at the forefront of impactful data-driven solutions in the fields of Geospatial, Open Data, Big Data, and IoT. We are passionate about advancing innovative data initiatives that address complex challenges in various sectors. Our employees are integral to making meaningful changes by transforming legacy manual data flows into streamlined, automated, data-driven workflows.

We’re looking for a Business Data Analyst to help our clients in sectors such as Forest Management, Wildland Fire, Parks, Intelligent Transportation Systems, and Geospatial/Open Data Platforms. If you thrive in an environment of change, growth, and making a positive impact, this is the role for you.

As a Business Data Analyst, you will engage in a variety of activities such as user story decomposition, research evaluation, process reengineering, and business modeling. You will help identify opportunities for efficiency improvements, cost savings, and operational effectiveness through process-driven, customer-centric analysis. You will focus on business data, geospatial data, and systems, including analysis of business processes, governance, requirements, and data lifecycle management.

Responsibilities:

Data Requirements Gathering: Coordinate and facilitate meetings to collect and document business requirements for both alphanumeric and spatial data needs.

Research and Analysis: Research business data requirements, understand user needs, and develop data standards for assigned projects.

Process Modeling: Use process modeling techniques (e.g., Visio, Lucidchart, ER/Studio) to analyze business processes, develop as-is and to-be models, and document data business rules.

System Integration: Trace and map data across systems, identifying solutions to business and data problems.

Documentation: Create functional specifications, user requirements, data standard reports, data quality plans, and metadata documentation using standard templates.

Business Rules Development: Capture business rules and integrate them into activity diagrams and data model documentation.

Stakeholder Interaction: Collaborate with data stewards, data modelers, business analysts, and project managers to translate business needs into data requirements.

Data Quality and Standards: Develop and document data quality plans, and metadata records for each data standard developed, ensuring compliance with project specifications.

Required Technical Experience:

Data Mapping & Integration: Experience mapping and tracing data across systems to solve business or data-related challenges.

Industry Knowledge: Familiarity with natural resource or land management organizations and their processes.

Collaboration & Communication: Experience working with diverse teams (e.g., data stewards, modelers, analysts) to define and translate business needs into data models, schemas, and domains.

Modeling & Analysis Tools: Proficiency with tools like Microsoft Visio, Lucidchart, ER/Studio, Balsamiq Mockups, and general data modeling software (Idera ER/Studio, Sparx Systems Enterprise Architect, or CA ERwin).

Geospatial Awareness: Basic knowledge of GIS and familiarity with the ESRI stack for business analysis and geospatial data requirements.

Land Resource Management: Preference for candidates with knowledge of land resource management concepts and practices.

Minimum Requirements:

Education:BS in a related field.

Experience: Minimum of 8 years of relevant experience, including experience in supporting natural resource, land management, or similar missions.

Security: Must be able to pass basic NACI, background, drug, and reference checks.

Location: U.S. Remote

If you’re excited about transforming legacy systems into data-driven, automated workflows and want to work on impactful projects that drive positive change, we’d love to hear from you!