Business Analyst – Data & AI Solutions

Straive; New Jersey; Presencial; USD 80.000 - 110.000; Jornada completa

Descripción de la vacante

Straive is seeking a Business Analyst to bridge business stakeholders and data engineering for a market data project. You will gather requirements, profile data, validate data quality, and help deliver reliable data solutions that guide decision-making.

The role targets 2–5 years of experience, with a focus on turning data into actionable business insights and collaborating with offshore teams. Growth into Engagement Manager is expected.

Formación

• 2–5 years in business analysis or data analytics.
• Understands how data supports business decisions and can translate needs into requirements.
• Familiar with data profiling, data quality concepts, and data flows between systems.

Responsabilidades

• Lead discovery sessions to capture business needs and write user stories, acceptance criteria, and specs.
• Profile and assess data sources using Excel and SQL; identify data gaps and feasibility.
• Translate business requirements to technical teams and explain constraints to the business.
• Use AI tools to analyze data, draft docs, and explore solution options.
• Write and execute test cases during UAT to verify data accuracy and dashboard functionality.
• Maintain Jira backlog and participate in Agile ceremonies and sprint planning.
• Document processes in Confluence and support data governance guidelines.

Conocimientos

Data analysis

Requirements gathering

Stakeholder communication

Agile methodology

AI tools

Curiosity

Herramientas

Jira

Confluence

SQL

Excel

Power BI

Tableau

Descripción del empleo

The Business Analyst will support our data and analytics work for a market data project, acting as the bridge between business stakeholders and data engineering teams, including offshore teams. You will gather and shape business requirements, assess and profile data, validate data accuracy, and help deliver reliable data solutions that guide decision-making.

This role suits someone with 2–5 years of experience who understands how data is used in the business, learns new technology quickly, and wants to grow into an Engagement Manager role.

Key Responsibilities:

• Requirements Gathering: Lead discovery sessions with business stakeholders to document business needs; write clear user stories, acceptance criteria, and functional specifications.
• Data Assessment: Profile and assess data sources using Excel and SQL; understand schemas and table structures; identify data gaps and confirm feasibility before data engineering work begins.
• Business and Tech Liaison: Work with business users and technology teams, including offshore teams, translating business needs into technical requirements and explaining technical constraints back to the business.
• AI-assisted Solutioning: Use AI tools to analyze data, draft documentation, and explore solution options.
• Data Validation & UAT: Write and execute test cases during User Acceptance Testing (UAT), verifying data accuracy, integrity, and dashboard functionality.
• Sprint Support: Maintain the backlog in Jira, participate in Agile ceremonies (daily stand-ups, sprint planning), and track task status.
• Documentation & Governance: Maintain clear documentation in Confluence and help enforce data standard operating procedures and data quality guidelines.

Qualifications:

• Experience: 2–5 years in business analysis, data analytics, or a related role.
• Business Understanding: Understands business requirements and grasps quickly how data can be used to answer business questions.
• Data Concepts: Able to conceptualize and understand data, including market data, and how it flows between systems.
• Data Skills: Profiles data in Excel and SQL; understands schemas, table structures, and how data sets relate.
• AI Tools: Uses AI tools in day-to-day analysis and solutioning.
• Communication: Clear written and verbal communication; able to simplify technical ideas for business stakeholders.
• Curiosity: Eager to learn new things, especially the latest developments in AI and data technology.

Good to Have:

• Market data experience, for example Bloomberg, Reuters/LSEG, or Morningstar.
• Experience working with offshore teams.
• Exposure to cloud data platforms (for example, Snowflake, Databricks, or Azure) and ETL/ELT concepts.
• Experience with Power BI or Tableau.

Why Join Straive?

Backed by global private equity firm EQT, Straive combines deep domain expertise with cutting‑edge AI and data engineering. You'll get hands‑on exposure to high‑visibility enterprise programs, direct mentorship, and long‑term career growth.