データアナリスト条件を変える閉じる
Associate, Technical & Performance / Asset Management
給与
記載なし※ 募集要項に金額の記載がありません
- 勤務地
- 東京都港区
- 雇用形態
- 正社員
- 働き方
- ハイブリッド勤務
- 年間休日
- 記載なし
在宅勤務あり
要約求人票をもとにAIがまとめたものです
The purpose of this role is to support operational reporting, develop data-driven strategies, serve as a liaison between O&M teams and vendors, and conduct energy modeling by developing robust data collection systems and forecasting models. This role aims to increase EBITDA by promptly and accurately identifying equipment downtime and its impact, as well as ensuring seamless communication across all SCADA systems.
応募資格
必須
- 【Education and Qualifications 】Bachelor’s or master’s in data science, energy science, statistics, mathematics, computer science, or a related field.【Work Experience】3 years of experience in data analytics, data engineering, data science, or related field, with a strong preference for experience closely related to renewable energy.【Technical / Professional Skills】Experience in developing data analytics tools with Excel or Python.Proficiency in Ms. Power Platforms, such as Power BI, Power Automate, Power Apps.Basic understanding of electrical engineering & renewable business.
- Excellent written and verbal communication skills to present data findings in English.
求める人物像
- Ability to work collaboratively in a team environment.
使用ツール
募集要項最終確認 9/25
- 職種
- データアナリスト
- 雇用形態
- 正社員
- 採用区分
- キャリア採用
- 給与
- 記載なし
- 給与の詳細
- Depending on your experience, we will provide you individually after passing hiring process.
- 手当
- Flexible Lifestyle Currency14,000 yen per month
- 勤務地
- 東京都港区虎ノ門2-10-4 オークラプレステージタワー17F
- 働き方
- Hybrid working system (Work from home for up to 4 days per month) *Subject to change in the future.
- 勤務時間
- 9:00 – 18:00(including lunch break of 1-hour, flexible hours system with core time between 11:00 to 15:00).
- 休日・休暇
- 2 days off per week (Saturday and Sunday plus public holidays)Year-end and New Year holidays (December 30th ~ January 3rd)Paid leave (16 days granted in the first year, 20 days per year after 5 years or more)Short-term sick leave (5 days per year)Family care leave (6 days per year, including 1 day of birthday leave)Volunteer leave (2 days per year)Special leave: Vena Day (granted 1 day per year)
- 福利厚生
- Defined Contribution Pension Plan & Retirement Allowance PlanGroup Long-Term Disability Income Compensation Insurance (enrollment at the time of employment)Learning & Development system (Vena supports for the acquisition of work-related licenses and qualifications/regulations apply)Financial Support Program for Egg cell FreezingBuddy SystemCasual FridayHappy Hour (Occasional cross-departmental social events with drinks)
- 社会保険
- Social insurance (employment, worker's compensation, health, welfare pension)
- 経験年数
- 3年以上
- 学歴
- 大学卒業以上
- 掲載日
- 2026/07/05 01:10(86日前)
- 最終確認
- 2026/09/25 04:31(4日前)
仕事内容
Summary
The purpose of this role is to support operational reporting, develop data-driven strategies, serve as a liaison between O&M teams and vendors, and conduct energy modeling by developing robust data collection systems and forecasting models. This role aims to increase EBITDA by promptly and accurately identifying equipment downtime and its impact, as well as ensuring seamless communication across all SCADA systems.
Key Responsibilities
Operation report and report visualization
An accurate and informative dashboards and reports to provide findings and insights of operational plants’ generation, performance, interruptions, and improvements to stakeholders.
Data-driven operational strategy planning
Creation and implementation of data-driven strategies to optimize energy production and improvements of EBITDA by identifying low performing plants, implementing plausible causes, and work with team to solve the issues.
Person-in-charge of communication with O&M and vendors
Smooth communication between TAM, O&M and vendors, in which any action items observed by plants’ generation and performance analysis can be executed. Data Availability near to 100% with any issues detected early and actions are taken promptly.
Data collection and management
Robust and timely dataset preparation from SCADA, utility bills, and operational reports by automating the data collection and management.
Energy forecasting model development
Energy forecasting model with high accuracy, so interruptions and availability are being better estimated.
この求人は日本再生可能エネルギー株式会社の採用ページの掲載内容をもとに構成しています。応募条件の最新情報は募集元をご確認ください。
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募集元の採用ページから応募できます
応募は日本再生可能エネルギー株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。
この求人と近い条件で探す数字はリンク先ページの掲載件数
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