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求人Nokia

Performance & Optimisation Specialist

Nokia

Performance & Optimisation Specialist

Nokia

Romania, RO

·

On-site

·

Full-time

·

3mo ago

必須スキル

Excel

The Performance & Optimisation Specialist coordinates the optimization team and acts as the single point of contact for customers, ensuring seamless execution of managed services projects. This role involves analyzing network performance, optimizing traffic, capacity, and neighbors, and providing technical solutions to improve KPIs and user experience. Additionally, the lead develops multi-layer optimization strategies, implements special/mass event plans, validates and enhances NPO tools, and collaborates with cross-functional teams to ensure SLA compliance and regulatory requirements. The role also includes participation in strategic initiatives, Po Cs, and capability development, keeping the network aligned with the latest technologies and best practices.

  • 10+ advanced expertise in 5G/4G radio optimization on the latest Nokia SW/HW releases, with strong knowledge of Nokia SRAN BTS & Net Act; optional multi-OEM experience (Samsung/Huawei).

  • Deep understanding of at least two RATs (5G & 4G), advanced knowledge of parameters/features/tuning, KPI analysis, troubleshooting, Layer 3 and PCAP/Wireshark trace analysis, plus end-to-end correlation across Radio/Access/IP/Transport/Core.

  • Experience delivering managed services projects, solid understanding of MS processes, and strong leadership/team-management capabilities.

  • Excellent customer communication skills for governance calls and technical discussions, backed by strong reporting and visualization skills (PowerPoint, Excel, Pivot, Power BI).

  • Expertise in analyzing third-party drive tests & crowdsourced data, performing performance optimization, spectrum refarming, 2G/3G sunset strategies, and post-optimization activities.

  • Broad knowledge of RAN evolution & architectures: Radio Network Consolidation, ORAN, Cloud RAN, vRAN, Private 5G/Enterprise Networks, Small Cells, DAS, FWA, Massive MIMO, Network Slicing, MEC, IoT connectivity.

  • Lead the team as SPOC, managing project deliverables, timelines, milestones, and ensuring seamless execution.

  • Act as SME for customer interactions, delivering technical insights, presentations, and use cases to enhance network performance.

  • Perform traffic, capacity, neighbor, and carrier aggregation optimization to improve KPIs, end-user experience, and multi-layer inter-technology performance.

  • Continuously refine network strategy, recommend new feature rollouts, and implement special/mass event optimization plans.

  • Conduct benchmarking and performance analysis using Umlaut (P3), regulatory drive tests, and other validation tools.

  • Identify automation opportunities and optimize NPO tools (in-house and third-party) for efficiency improvements.

  • Collaborate with cross-functional teams (CM, PM, FM, OMS) to resolve action items, define SLAs/KPIs, and ensure regulatory compliance.

  • Participate in stream-level engagements, Po Cs, new initiatives, and capability development, while keeping up with emerging technologies.

  • Ensure continuous improvement through regular audits, reviews, and performance monitoring to meet managed services targets.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Nokiaについて

Nokia

Nokia

Public

Nokia Corporation is a Finnish multinational telecommunications, information technology, and consumer electronics corporation, originally established as a pulp mill in 1865.

10,001+

従業員数

Espoo

本社所在地

$24B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

3.7

報酬

3.2

企業文化

4.1

キャリア

2.8

経営陣

3.4

72%

友人に勧める

良い点

Good benefits

Supportive colleagues/management

Flexible work arrangements

改善点

Limited career advancement/growth opportunities

Management issues (poor communication, lack of direction)

Long hours/high workload

給与レンジ

28件のデータ

Mid/L4

Senior/L5

Director

Mid/L4 · Customer PLM Altiplano Americas

1件のレポート

$151,614

年収総額

基本給

$131,838

ストック

-

ボーナス

-

$151,614

$151,614

面接体験

4件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

25%

体験

ポジティブ 50%

普通 25%

ネガティブ 25%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

HR Follow-up

5

Offer

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience