Analyst I - Transformation

HCA Healthcare - India

Hyderabad, Telangana, India

General Position Information

Reports directly to (Title): Senior Manager or Director, HR Transformation & Analytics

Matrix reports to (Title): As applicable based on HR Transformation & Analytics portfolio, platform, product, or functional alignment

Direct Reports: Individual contributor; may mentor or provide work direction to less experienced team members

Created / Last Revised: -

Job Code: -

Position Summary

The Analyst I Transformation leads higher-complexity work within HR Transformation & Analytics, owning major deliverables, improving delivery quality, and translating business, data, technology, product, or process needs into reliable outcomes. This role operates with greater independence than the unprefixed level and is expected to lead workstreams, resolve ambiguity, mentor peers, and manage stakeholder expectations across HR, analytics, technology, operations, and transformation partners.

The Analyst I Transformation supports HR Transformation & Analytics by translating business needs into clear requirements, workflows, business rules, user stories, acceptance criteria, and readiness inputs. This role partners with HR stakeholders, product owners, technology teams, data teams, change managers, process engineers, and analysts to ensure solutions are designed to meet business needs and operate effectively.

The role is responsible for requirements gathering, process documentation, stakeholder alignment, UAT support, traceability, and solution readiness. Success requires structured thinking, facilitation, documentation discipline, business acumen, and responsible use of AI-assisted requirements and process tools.

Responsibilities

Senior-Level Ownership & Delivery Leadership

Lead complex deliverables, workstreams, analyses, designs, builds, or implementation activities with limited oversight.
Translate ambiguous stakeholder needs into clear scope, success measures, requirements, plans, technical outputs, or recommendations.
Review deliverables for accuracy, usability, governance alignment, stakeholder readiness, and business value before release or handoff.
Mentor less experienced team members by sharing standards, reviewing work, and reinforcing documentation, testing, and delivery discipline.
Identify delivery risks, data or process limitations, technical dependencies, and stakeholder alignment issues early and recommend practical mitigation actions.

Requirements & Business Analysis

Gather, document, and validate business, functional, reporting, workflow, integration, and operational requirements.
Develop user stories, acceptance criteria, business rules, process flows, decision logic, and traceability documentation.
Clarify scope, assumptions, dependencies, constraints, and open questions in partnership with product and delivery teams.

Process, Testing & Readiness Support

Document current-state and future-state workflows, handoffs, exceptions, controls, and role responsibilities.
Support UAT planning, test scenarios, defect triage, business validation, and readiness activities.
Contribute to training inputs, SOP updates, communication inputs, and implementation support.

Stakeholder Partnership & Delivery Alignment

Facilitate working sessions with HR, technology, analytics, product, operations, and transformation stakeholders.
Translate stakeholder needs into delivery-ready artifacts and ensure requirements are understood by technical and business partners.
Maintain decision logs, action items, requirements documentation, and issue summaries.

AI-Assisted Business Analysis

Use approved AI tools to support meeting summaries, requirement drafts, process documentation, test scenario drafts, and stakeholder communication outlines.
Validate AI-assisted requirements, workflows, and acceptance criteria with stakeholders before use.
Identify opportunities to improve requirements quality, knowledge management, and workflow documentation through AI-assisted practices.

AI Preparedness Expectations

Applies approved AI tools to accelerate complex deliverables, documentation, quality review, analysis, code, design, workflow support, or stakeholder materials while validating outputs before use.
Identifies appropriate AI augmentation opportunities within assigned workstreams and helps teammates adopt safe, practical, and repeatable AI-enabled practices.
Reviews AI-assisted outputs for accuracy, bias, completeness, privacy risk, governance alignment, and business context before release or recommendation.
Builds deeper capability in AI-enabled HR analytics, workflow automation, decision support, and human-in-the-loop review over the next three years.
Uses AI to accelerate meeting synthesis, requirements drafts, process documentation, and test scenario creation while validating with stakeholders.
Understands AI-generated requirements can miss context, create false precision, or introduce errors without human review.
Builds capability in AI-assisted business analysis, intelligent requirements management, workflow automation, and responsible AI adoption over the next three years.

Education & Experience

Bachelor's degree in Business, Human Resources, Information Systems, Computer Science, Data Analytics, Statistics, Engineering, or a related field; equivalent experience may be considered.
Typically 3+ years of experience in a related environment.
Experience leading a defined workstream, analysis, product, technical deliverable, process improvement, reporting solution, or change initiative with cross-functional stakeholders.
Experience reviewing deliverables, validating outputs, managing dependencies, and communicating risks or recommendations to managers, senior managers, or directors.
Experience mentoring others, improving team standards, or contributing to repeatable methods, documentation, templates, or quality practices.
Experience supporting business analysis, requirements gathering, process documentation, UAT, project coordination, HR operations, or transformation initiatives.
Experience preparing user stories, process flows, acceptance criteria, meeting notes, issue logs, or requirements documentation.
Experience working with business and technical stakeholders to clarify needs and support delivery.

Must Have Skills

Ability to independently lead complex workstreams or deliverables from intake through execution, validation, and stakeholder communication.
Strong stakeholder management skills, including the ability to clarify expectations, manage dependencies, communicate risks, and influence decisions without direct authority.
Demonstrated ability to review work for quality, accuracy, business relevance, data sensitivity, and operational readiness.
Ability to mentor peers or junior team members and reinforce standards, documentation practices, and repeatable delivery methods.
Strong requirements gathering, documentation, and structured problem-solving skills.
Ability to facilitate stakeholder conversations and translate needs into clear deliverables.
Understanding of process mapping, business rules, user stories, acceptance criteria, and UAT concepts.
Strong written and verbal communication skills for business and technical audiences.
Ability to manage multiple priorities, track open items, and follow through with accuracy.
Ability to work with confidential HR information and follow governance and privacy expectations.
Foundational AI literacy for requirements drafting, meeting synthesis, process documentation, and quality checks using approved tools.

Nice To Have Skills

Experience serving as a subject matter expert, workstream lead, or delivery lead in HR, analytics, technology, transformation, shared services, or a regulated environment.
Experience creating reusable templates, standards, training materials, quality checklists, or enablement content for team use.
Experience applying approved AI tools to improve productivity, documentation quality, analysis, engineering, design, or stakeholder communication.
Experience with HR transformation, HR systems, HR operations, analytics, shared services, or process improvement.
Exposure to Agile delivery, Jira, Azure DevOps, Confluence, ServiceNow, Visio, Lucidchart, or similar tools.
Experience with Workday, Oracle HCM, PeopleSoft, ServiceNow, or other enterprise HR platforms.
Prior experience in healthcare, regulated environments, or global capability centers.
Exposure to data/reporting requirements, automation requirements, product requirements, or integration requirements.
Experience supporting change readiness, training inputs, SOPs, or implementation activities.
Experience using AI tools to summarize meetings, draft requirements, or improve documentation quality.

Licenses, Certifications & Training

Preferred: role-relevant certification, analytics platform training, data governance training, or Agile delivery training, as applicable.
Preferred: Responsible AI, data privacy, data security, or HR data handling training.

Knowledge, Skills, Abilities, Behaviors

Demonstrates curiosity, ownership, and sound judgment when working with HR data, systems, processes, and stakeholders.
Communicates status, assumptions, risks, and limitations clearly without overstating what the data, process, or technology can support.
Works collaboratively across HR, technology, analytics, product, operations, and transformation partners in a matrixed environment.
Protects confidential HR and workforce information and follows internal privacy, security, data governance, and compliance expectations.
Uses AI tools with professional skepticism, validates AI-assisted outputs, avoids entering restricted data into unapproved tools, and escalates AI or data risks appropriately.
Maintains documentation discipline, change awareness, customer focus, and continuous improvement mindset while balancing multiple priorities.

Score my resume against this job, free →