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Salary
≈ $16k – $31k per year (Estimated)
Location
Hybrid (Hyderabad, India)
Seniority
Staff · 8+ years exp

First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Algoleap is a Hyderabad-based digital product engineering and AI services firm offering software engineering, AI solutions, data, cloud and DevOps, automation and technology advisory to enterprises. Operating as Algoleap Technologies Pvt Ltd from HITEC City in Hyderabad, with a US address in Plainfield, Illinois, it works in heavily regulated industries on client lifecycle management, sustainable finance, data strategy and cloud adoption, and runs Algoleap Digital Studios. Its openings, mostly in Hyderabad and Bengaluru, include .NET, FileNet, Salesforce and backend developers, AI engineers, data scientists and architects, Kubernetes and Azure engineers and database administrators.

About the job:

Technical Analyst - Post-Merger Integration (Hybrid: Business + Technical).

About the role:

We are seeking a detail-oriented and proactive Technical Analyst to support Post-Merger Integration (PMI) initiatives. This hybrid role combines strong domain understanding with hands-on technical skills to independently discover and validate requirements, design clear frameworks, and develop execution plans. A core focus is to analyze the acquired company's technology and process stack, map it to our ecosystem, and recommend the best integration approach. They will ensure outcomes are well-defined, feasible, measurable, and delivered on time.

Key Responsibilities:

PMI Discovery & Assessment:

- Rapidly inventory and assess the acquired company's product, data, and process stack (applications, data models, APIs, integrations, workflows, SLAs), documenting current-state capabilities and constraints.

Stack Mapping & Alignment:

- Create detailed mappings from acquired systems to our platforms and processes, including data entities/attributes, interface touchpoints, roles/permissions, and operational handoffs; identify overlaps, gaps, and deprecation candidates.

Integration Options & Recommendations:

- Propose integration patterns (e.g., consolidate, federate, phase-and-bridge), articulate trade-offs, and recommend best-path actions aligned to business outcomes, risk, cost, and timeline.

Technical Decomposition:

- Translate target-state outcomes into epics, user stories, data contracts, and interface specifications; outline system interactions, dependencies, and non-functional requirements (performance, security, scalability, compliance).

Requirement Gathering & Analysis:

- Lead structured discovery with stakeholders to elicit, clarify, and document business needs and success metrics; convert ambiguity into clear, testable, and technically feasible requirements.

Frameworks & Documentation:

- Produce PMI-specific artifacts (current/target state diagrams, sequencing/transition plans, cutover runbooks, decision logs, RACI/DACI, prioritization matrices) to drive shared understanding and decisions.

Execution Planning:

- Build and maintain integration plans with scope, milestones, dependency maps, risks/assumptions, and mitigation strategies; define and track measurable outcomes and KPIs.

Data Quality & Reconciliation:

- Partner with data teams to define reconciliation strategies, data quality checks, and migration validation plans; ensure lineage and auditability across systems during transitions.

Stakeholder Management:

- Manage stakeholder communication independently across both organizations; facilitate workshops, align on scope and phasing, handle trade-offs, and maintain a consistent communication cadence.

Status Reporting:

- Provide transparent, timely status updates and executive summaries highlighting progress, decisions/asks, risks, and blockers.

Expected Deliverables (PMI):

- Stack inventory and current-state assessment.

- System and data mapping matrix (acquired - acquirer).

- Integration options summary with recommendations and trade offs.

- BRD/FRD and user stories with acceptance criteria.

- Cutover plan and runbook, with risk/rollback considerations.

- Reconciliation and validation plan with data quality checks.

Qualifications (Must-Have):

- 8+ years of overall experience in technology or product environments, including 5+ years as a Technical Analyst (or similar) with hands-on experience in integrations, re-platforming, or PMI.

- Demonstrated ability to assess unfamiliar stacks and produce clear mappings to a target ecosystem.

- Domain-informed decision-making; can recommend integration approaches and trade-offs during discovery/design.

- Technical fluency: read/write basic SQL; interpret API specs; understand data models and identity/permission models.

- Strong stakeholder management and communication; facilitates workshops and executive readouts.

- Proficient with Jira, Confluence, Salesforce, Snowflake, and Lucidchart (or equivalents).

Working Style, Tools, and Processes:

- Working style: Independent executor who drives clarity in ambiguous, fast-changing PMI contexts; concise communicator who surfaces risks early and proposes options; collaborative partner balancing business value, user impact, and technical feasibility.

- Tools: Salesforce (CRM), Snowflake (data platform), Jira (delivery), Confluence (documentation), and Lucidchart (flows/architecture). Also comfortable with Google Docs/Slides or Microsoft PowerPoint for presentations, and Sigma Computing or comparable lightweight dashboards/BI for metrics.

- Core practices: Executive-ready status updates, decision logs, RAID registers; disciplined backlog hygiene, requirements traceability, and version control for documentation.

Skills

IT Business Analyst

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