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Hunt St
Hunt St
1 – 10 Darbinieki
B2BPersonāla atlasePersonāla tehnoloģijas
Hunt St ir Austrālijā bāzēts personāla atlases uzņēmums, kas palīdz maziem un vidējiem uzņēmumiem tieši pieņemt darbā ārvalstu speciālistus. Uzņēmums apvieno kandidātu meklēšanu tādās valstīs kā Filipīnas, Nepāla, Indonēzija un Indija ar darba sludinājumu publicēšanu, kandidātu atlasi, intervijām un juridisko atbalstu atbilstīgai attālinātai darbinieku pieņemšanai. Vienreizējās atradēja maksas modelis ir izstrādāts kā pārskatāma alternatīva tradicionālajām ārpakalpojumu aģentūrām, savukārt procesā tiek uzsvērta ētiska darbā pieņemšana, taisnīgs atalgojums, drošība un atbilstība prasībām.
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Vakances uzņēmumā

Retail Expansion Property Analyst

Build financial models and assess retail performance to inform expansion across Southeast Asia. Support property negotiations, store development, acquisitions, renovations, and project tracking.

MYMalaizijaPHFilipīnasAttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuAnalītiķis
SQL

Apraksts

  • Build financial models for retail store networks, covering sales forecasts, market P&Ls, capital expenditure, and returns on investment.
  • Collect, clean, reconcile, and verify client data on sales, costs, labour, freight, property, and related areas.
  • Assess store performance and financial assumptions to guide site selection and expansion decisions.
  • Maintain financial models, deal trackers, store audit templates, work schedules, and other inputs for the property platform.
  • Upload and verify data, test model calculations and reports, identify problems, and coordinate fixes with the platform developer.
  • Revise forecasts to reflect actual store performance after locations open.
  • Research Southeast Asian shopping centres, landlords, rental terms, vacancies, potential franchise partners, and competing brands.
  • Evaluate landlord proposals and lease terms, including rent, service charges, incentives, fit-out periods, and other commercial conditions.
  • Prepare briefs, reports, presentations, minutes, and action trackers for client and internal meetings.
  • Gather drawings, specifications, contractor quotes, fit-out costs, and construction schedules to support store development.
  • Monitor project milestones, budgets, procurement schedules, and long-lead items to spot potential delays.
  • When retail consulting work is quieter, assist with feasibility models, budgets, cash flow forecasts, and reporting for property acquisitions, development, and renovations.
  • Use consistent templates, documentation, and trackers across projects.
  • Communicate clearly with stakeholders, follow up on pending information, and raise risks or delays promptly.

Prasības

  • Bring 3–6 years of experience in financial analysis, FP&A, property analysis, retail analytics, or an analyst role at a Big Four firm or consultancy.
  • Have advanced Excel skills, including financial modelling, scenario and sensitivity analysis, formula auditing, and error checking.
  • Have experience building, maintaining, and reviewing financial models, and be able to explain assumptions and calculations clearly.
  • Demonstrate strong data analysis skills, including cleaning, reconciling, and combining information from multiple sources.
  • Understand retail or property economics, such as sales per square metre, gross profit, rent, occupancy costs, lease terms, and fit-out costs.
  • Write and speak English well, and prepare clear, concise reports for clients.
  • Be organised and effective at solving problems while managing multiple projects and deadlines.
  • Work independently, follow up on missing information, and raise issues proactively.
  • Be comfortable working remotely with stakeholders across time zones.
  • Bring experience in multi-site retail, franchising, shopping centre operations, property, or retail consulting.
  • Be familiar with Southeast Asian markets, particularly the Philippines, Malaysia, Indonesia, or Singapore.
  • Have experience with project schedules, Gantt charts, procurement tracking, or store development programmes.
  • Have working knowledge of Power BI, Power Query, or SQL.
  • Have experience supporting SaaS implementation, data migration, or system testing.
  • Experience with store fit-outs, construction costs, property development feasibility, or an accounting qualification is an advantage.

Priekšrocības

  • Work remotely from home.

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