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【戦略インサイト本部】Consultant, Business Insights （Promotion）,Strategic Insights ＆ Data Analytics Department,Strategy ＆ Insights Division

年収： 800万～ 1000万

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部署・役職名	【戦略インサイト本部】Consultant, Business Insights （Promotion）,Strategic Insights ＆ Data Analytics Department,Strategy ＆ Insights Division
職種	経営企画・経営戦略
業種	外食
勤務地	東京都
仕事内容	Overview The Strategy & Insights (S&I) Division transforms McDonald’s Japan’s rich commercial and operational data into actionable insights that support both day-to-day decisions and long-term strategic planning. Within this division, the Business Insights team plays a critical role in enabling accurate business understanding through LTO forecasting and sales performance analysis. This role ensures that LTO forecasting and performance tracking are grounded in deep commercial understanding, structured driver analysis, and real-time business interpretation. You will work closely with Marketing, Finance, and S&I leadership to align on assumptions, interpret performance, and provide clear, fact-based narratives that support business decisions. Job Summary As the Consultant, Business Insights (Promotion), you will own the execution of LTO forecasting and performance analysis. You will develop forecast assumptions, drive alignment with Marketing and internal stakeholders, and continuously refine outputs based on performance and emerging trends. In addition, you will lead daily and weekly sales tracking, delivering structured variance analysis against plan and identifying key drivers behind performance gaps. You will serve as a key partner to Marketing, Finance, and S&I leadership, ensuring clear communication of forecast logic, risks, and implications. Through a combination of analytical rigor and structured business judgment (“art”), you will ensure that forecasts and performance insights are accurate, actionable, and aligned with enterprise-level decision-making. 1. LTO Forecast Operations ・Own the forecasting process for LTO promotions (~100 annually) as part of a lean team, ensuring consistency and accuracy in outputs. ・Develop and maintain forecast assumptions by analyzing key drivers such as product mix (P-Mix), promotion mechanics, pricing, coupon behavior, channel mix, and seasonality. ・Lead alignment of forecast assumptions and outputs with Marketing (product owners) and internal SI stakeholders. ・Apply structured judgment (“art”) on top of data and model outputs to refine and finalize forecasts. ・Continuously monitor forecast accuracy and update assumptions based on performance and emerging trends. 2. Performance Tracking & Variance Analysis ・Track LTO performance vs. forecast and identify key drivers of variance on a weekly basis. ・Deliver structured variance analysis, isolating impacts from key drivers (e.g., product, pricing, channel, execution). ・Conduct daily analysis of sales vs. plan, highlighting risks and opportunities in a timely manner. ・Produce regular reporting (weekly decks, daily reports) to provide clear visibility into business performance. 3. Insight Generation & Communication ・Translate complex data and driver dynamics into clear, actionable insights for stakeholders. ・Provide fact-based narratives explaining forecast assumptions, performance gaps, and implications for future decisions. ・Communicate effectively with SI Leadership Team and cross-functional partners to ensure alignment and clarity. ・Highlight risks, opportunities, and scenario considerations to support decision-making. 4. Cross-functional Collaboration ・Partner closely with Marketing as LTO product owners to align on forecast assumptions and performance interpretation. ・Collaborate with Finance on pricing strategy, profitability considerations, and financial implications of LTOs. ・Engage with SI leadership to drive alignment on business outlook and performance narratives. ・Work with Data Science and other analytics teams as needed to align on methodology, assumptions, and insights. Typical Outputs: ・Promotion Forecast (LTO simulation sheet) and alignment with marketing team ・Daily Sales Report draft ・Weekly Sales Report draft ・AST (advertise store test) design and analysis in collaboration with Data Science team
労働条件	■雇用形態正社員　※試用期間あり（6ヶ月、同条件） ■勤務時間フレックスタイム制通常の勤務時間は9時～18時としていますが、月間所定労働時間（※）の範囲内であれば、深夜時間（22：00~5：00）と公休日を除き、柔軟に勤務時間を決めて働くことができます。 ※月間所定労働時間＝8時間×1か月の勤務日数 ■休日休暇土日祝日、年末年始休暇（12月31日および翌年1月2日、3日）年次有給休暇（初年度10日を基準として入社時期に応じて付与）慶弔特別有給休暇出産、育児休暇育児休業育児短時間勤務制度（小学校卒業まで最大３時間短縮）看護勤務・看護休暇（取得規定あり）介護休暇・介護休業（取得規定あり）育児目的休暇（取得規定あり）永年勤続休暇（5年で5日、10年で10日、20年で20日、30年で30日の連続した特別有給休暇を付与）誕生日休暇（1日） ■待遇・福利厚生給与改定／年1回、賞与／年1回 ※賞与は職位ごとに定められた基準にしたがい、会社業績および個人評価を加味して支給額を決定します ※賞与の支給要件として最低3ヶ月間の勤務が必要です ■交通費全額支給社会保険完備企業型確定拠出年金制度あり社員持株会あり退職金制度あり永年勤続褒賞金あり各種団体保険あり資格取得奨励金制度あり WELBOX（宿泊補助などの総合福利厚生メニュー）あり ■就業場所（勤務地）日本マクドナルド株式会社本社（東京都新宿区）
応募資格	【必須（MUST）】 Requirements Business & Analytical Capabilities ・Strong business understanding of promotion dynamics and underlying commercial drivers. ・Analytical depth across P-Mix, promotions, coupons, channel mix, and seasonal/regional patterns. ・Ability to interpret data signals and apply structured business judgment (“art”) to refine model outputs. Technical Skills ・Solid forecasting logic understanding and experience with variance analysis. ・Comfortable interpreting statistical model outputs (in partnership with Data Science). ・Ability to use SQL for underlying driver checks and anomaly investigation is preferred Collaboration & Communication ・Effective cross-functional partner, especially with Marketing, Finance, Data Science and Operation teams ・Strong communication skills to articulate forecast logic, risks, and assumptions to marketing team and SI leaderships. ・Ability to translate complex driver dynamics into simple, clear narratives. Language ・Native level Japanese ・Business level English (read & write). Personal Attributes ・Strong ownership and accountability for forecast accuracy and communication quality. ・Trusted team player with the ability to build strong relationships and credibility with stakeholders. ・Curious, detail-oriented, and data driven. ・Comfortable working in fast-paced, high-stakes decision environments.
アピールポイント	マネジメント業務なし完全土日休みフレックスタイム月平均残業時間20時間以内
リモートワーク	可「可」と表示されている場合でも、「在宅に限る」「一定期間のみ」など、条件は求人によって異なります
受動喫煙対策	屋内禁煙
更新日	2026/06/23
求人番号	8815725

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日本マクドナルド株式会社

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