Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.
We are looking for a Senior Network Data Analyst to act as the logical translation engine for a large-scale network consolidation program at a US-based Tier-2 Telco. The role operates at the intersection of data and network architecture, focusing on transforming fragmented legacy data models into a clean, standardized target-state schema. It ensures that all data feeding the automation pipeline is accurate, structured, and aligned with the overall architectural design. This position is ideal for professionals who prioritize data integrity and excel at converting complex infrastructure data into consistent, actionable formats.
Responsibilities
- Design and maintain the logical data architecture for the master Technical Scoping Matrix (TSM)
- Translate raw and disparate data extracts from multiple legacy network environments into a unified, standardized target-state data model
- Identify and resolve data anomalies, including duplicate hostnames, inconsistent naming conventions, and structural inconsistencies across datasets
- Detect and flag architectural blockers such as overlapping IP subnets and routing conflicts, enabling Network and Security Architects to take corrective actions
- Ensure that all output datasets are fully normalized, validated, and structurally aligned to serve as reliable input for automated configuration generation pipelines
- 5+ years of experience in data analysis, solution architecture, or network data modelling, preferably within M&A IT integrations or large-scale infrastructure programs
- Advanced expertise in data normalization, schema mapping, and relational database management (SQL, Master Data Management)
- Strong foundational understanding of enterprise network concepts (IPAM, subnets, hostnames, asset inventories), including the ability to identify issues such as IP conflicts within datasets
- High proficiency with BI tools (e.g., Power BI) and advanced data manipulation techniques
- Strong analytical mindset with the ability to design scalable data rules and frameworks
We offer:
- Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
- Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
- Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
- Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
- Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
- Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
- Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.
