Data Platform Analyst

Custom Software Systems, Inc. (CSS) is seeking a Data Platform Analyst to support the team with use case analysis, process analysis, knowledge management, process documentation, product documentation, user onboarding, product operations, and stakeholder coordination. This role will help translate business and mission needs into clear platform requirements, process documentation, capability gaps, decision records, and product planning inputs. The ideal candidate is organized, analytical, strong in written communication, and comfortable working across business, technical, data governance, and platform teams. This role will also support knowledge management for the platform by helping organize, maintain, and improve the availability of reusable documentation, decision records, process guidance, and other knowledge assets. This role is on-site.

Responsibilities

• Support analysis and documentation of business and mission use cases for the Enterprise Data Platform.
• Conduct or support stakeholder discovery sessions to capture business needs, pain points, desired outcomes, assumptions, constraints, and dependencies.
• Translate stakeholder needs into clear requirements, user stories, acceptance criteria, process flows, and product planning inputs.
• Analyze and document current-state and future-state processes related to data intake, data access, data governance, platform usage, analytics workflows, and operational support.
• Develop process maps, workflow diagrams, decision trees, RACI matrices, SOPs, and process guides as needed.
• Identify process gaps, bottlenecks, unclear ownership, handoff issues, and opportunities for standardization or improvement.
• Support the definition of repeatable platform processes, including intake, prioritization, data product onboarding, access requests, issue escalation, documentation management, and stakeholder communication.
• Support the Platform Product Owner with backlog organization, intake tracking, prioritization inputs, dependency tracking, and action item follow-up.
• Track platform requests, risks, issues, decisions, dependencies, open questions, and next steps.
• Prepare and maintain product documentation, process documentation, capability descriptions, requirements documents, decision logs, meeting summaries, and knowledge articles.
• Organize documentation so that platform teams and stakeholders can easily find current information.
• Review existing documentation for clarity, consistency, completeness, and usability.
• Convert technical input from engineers, architects, security, and governance teams into clear business-facing documentation.
• Support preparation of roadmap discussions, sprint planning materials, stakeholder reviews, demos, governance forums, and leadership updates.
• Assist with creating executive-ready summaries, briefing materials, product briefs, capability one-pagers, and stakeholder communications.
• Support alignment between product priorities, business needs, technical delivery, governance requirements, and operational readiness.
• Capture meeting notes, decisions, action items, risks, blockers, and follow-up items from platform-related meetings.
• Coordinate with business, product, engineering, security, data governance, cloud infrastructure, analytics, and operational teams to support delivery execution.
• Help identify common needs across use cases to inform reusable data platform capabilities.
• Assist with defining and tracking product metrics, adoption indicators, service health measures, delivery progress, and operational improvement opportunities.
• Maintain documentation inventories and identify outdated, missing, duplicative, or inconsistent content.
• Organize and maintain platform knowledge repositories so that platform teams and stakeholders can easily find current, authoritative information.
• Establish and support documentation and knowledge management practices, including content organization, naming conventions, documentation inventories, review cycles, and archival of outdated content.
• Review existing documentation for clarity, consistency, completeness, accuracy,
• findability, and usability.
• Identify outdated, missing, duplicative, or inconsistent documentation and recommend updates, consolidation, or retirement.
• Convert technical input from engineers, architects, security, and governance teams into clear business-facing documentation and reusable knowledge assets.
• Prepare and maintain knowledge articles, FAQs, playbooks, reusable templates, process guides, decision logs, and other platform knowledge assets.
• Track knowledge gaps and documentation needs that emerge from stakeholder discussions, product planning, delivery activities, and operational support.
• Help identify comm