- Company Name
- Market Street Talent, Inc.
- Job Title
- Business Systems Analyst
- Job Description
-
**Job title**
Business Systems Analyst
**Role Summary**
Analyst responsible for data integration, quality, and analytics initiatives within Salesforce Data Cloud and connected systems. Independently leads requirement discovery, analyzes data for patterns and gaps, and translates insights into detailed user stories and technical requirements. Manages backlog, documents processes in Confluence, and collaborates with technical partners to ensure feasibility and implementation.
**Expectations**
- Deliver clear, evidence‑based solution options to leadership.
- Own and maintain project backlog and workflow, acting as pseudo‑scrum master when necessary.
- Work independently in ambiguous, early‑stage environments without a formal product owner.
- Maintain traceability of decisions and documentation.
**Key Responsibilities**
- Conduct requirements discovery and documentation for data integration, data quality, and analytics initiatives.
- Analyze data sets to identify patterns, gaps, cleanup opportunities, and risks.
- Formulate and present actionable recommendations and options to leadership.
- Write detailed user stories, acceptance criteria, data definitions, and technical requirements.
- Manage backlog, prioritize work, and coordinate with cross‑functional teams.
- Document processes, data flows, data lineage, and system dependencies in Confluence.
- Collaborate with Data Engineering, Salesforce Administration, and other technical partners to align feasibility and implementation strategy.
**Required Skills**
- Business Systems Analysis & Data Analysis experience.
- Strong data‑centric, analytical problem‑solving skills.
- Experience leading initiatives in unstructured or pilot environments.
- Ability to facilitate alignment across technical and business teams.
- Proven experience with backlog management (JIRA/Rally).
- Excellent communication and presentation skills.
- Strong organizational and documentation skills.
**Technical Skills**
- Salesforce schema, automations, and data relationships.
- Salesforce Data Cloud: data lake concepts, ingestion, metadata mapping, segmentation, identity resolution, system integrations.
- Snowflake: SQL, table interpretation, data quality assessment, exploratory analysis.
- Cloudingo: data cleanup.
- Confluence documentation.
- JIRA / Rally backlog and user story management.
**Nice to Have**
- Experience with AI or Agentforce/Agentic AI.
- Marketing Cloud or other Salesforce ecosystem tools.
- Experience operating in high‑ambiguity, low‑structure environments without dedicated product owners or traditional project teams.
**Required Education & Certifications**
- Bachelor’s degree in Information Systems, Computer Science, or related field (or equivalent experience).