Data Analysis

Business Discovery & Analysis
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Lead and facilitate discovery activities to understand business problems, opportunities and desired outcomes before defining solution requirements.
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Identify opportunities to improve business capabilities through better use of enterprise data.
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Lead current and future state analysis across business processes, information flows and data domains.
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Present options, trade-offs and recommendations to support informed business decisions.
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Collaborate with Analytics and AI teams to define business requirements that enable analytical and AI-driven solutions.
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Elicit, analyse and validate business requirements using a range of techniques including workshops, interviews, process analysis, document analysis and data analysis.
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Define business processes, business rules, KPI definitions, data requirements and acceptance criteria that enable successful delivery.
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Challenge assumptions and help stakeholders refine their thinking to ensure solutions address the underlying business need.
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Identify, document and evaluate functional and non-functional requirements, ensuring they are clear, complete and testable.
Data Analysis & Governance
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Define conceptual and logical data requirements and models.
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Work with Data Architects to understand information models and data flows and analyse data lineage and source-to-target data flows to support successful solution design and delivery.
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Help define business data definitions, critical data elements and KPI definitions.
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Support business data ownership, stewardship and governance activities, such as definition and maintenance of business metadata, business glossaries and critical data definitions.
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Identify data quality issues and support improvements to trusted business information.
Delivery & Collaboration
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Collaborate with Product Owners and delivery teams to support backlog refinement, epic decomposition, story mapping and the definition of clear acceptance criteria.
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Collaborate with delivery teams to refine and prioritise requirements, ensuring the highest-value outcomes are delivered first.
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Ensure requirements remain traceable throughout the delivery lifecycle and support clarification where required.
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Support business readiness, user acceptance testing and solution adoption where appropriate.
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Manage multiple initiatives simultaneously, balancing priorities while maintaining quality and stakeholder confidence.
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Identify and communicate risks, assumptions and dependencies throughout delivery.

Responsibilities

Stakeholder Management
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Build trusted relationships with business and technical stakeholders, acting as the trusted Business Analysis lead for your initiatives.
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Facilitate workshops and discussions that build consensus, resolve ambiguity and support effective decision making.
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Communicate clearly and proactively, ensuring stakeholders remain informed of progress, decisions, risks and dependencies.
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Act as the conduit between business stakeholders and delivery teams, ensuring information flows effectively in both directions.
Continuous Improvement
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Apply agreed Business Analysis standards, templates and governance processes consistently across projects.
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Identify opportunities to improve delivery, requirements quality and stakeholder collaboration, sharing recommendations with the wider team.
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Support colleagues through knowledge sharing, peer reviews and mentoring where appropriate.
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Contribute lessons learned and practical improvements to Business Analysis ways of working.

Qualifications

Capability, Knowledge, and Experience
Technical
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Proven experience delivering Business Analysis on complex data, reporting or analytics initiatives, with strong analytical skills with experience using SQL to support analysis and validation; experience of working with modern data platforms such as Azure Databricks, Snowflake, Microsoft Fabric.
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Experience defining reporting, analytics and operational data requirements, including KPI definitions and business rules.
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Good understanding of data management principles, including data governance, data quality, data modelling, data lineage, data architecture and analytics.
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Familiarity with the Software Development Lifecycle and delivery approaches including Agile, Scrum and Waterfall.

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Demonstrable experience delivering Business Analysis within Agile delivery teams, with the ability to become productive quickly in a complex environment.
General
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Excellent communication, facilitation and stakeholder management skills.
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Strong workshop facilitation and requirements elicitation techniques.
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Ability to analyse complex problems and translate them into clear, structured and actionable requirements.
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Comfortable working across both business and technical teams.
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Experience producing high-quality Business Analysis artefacts including Business Requirements Documents, Epics, User Stories, Process Models and Requirement Traceability.
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Strong organisational skills with the ability to manage multiple priorities simultaneously.
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Experience within Financial Services or Insurance is desirable.
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Understanding of GDPR and data management principles.
Education & Qualifications
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Educated to degree level in a relevant field or able to demonstrate equivalent professional experience
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Related Business Analyst or Project Management professional qualifications are beneficial but not essential

About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
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