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JLL

Data & Performance Analyst

Department overview

OLM is JLLs leading digital platform for listing commercial properties online. The platform is now in its 3rd iteration and is currently available across 8 markets in the EMEA region with a view for further expansion across different markets and business lines.

Role Purpose

We are looking for a Data & Performance Management Analyst to join the EMEA Digital Team and provide accurate and data based information on the programmes’ efficiency and profitability. You will be accountable for the performance management process monitoring at EMEA level and work alongside CRM teams and local data and business stakeholders in ensuring accurate monitoring of the digital programme’s sales funnel. The ideal candidate will have some experience of working in a digital environment and will be equally comfortable in analysing and reviewing financial figures, setting up processes to load data into data warehouse(s) and create connectors to BI tools.

What this job involves

  • Monitor the digital programmes’ key performance indicators (KPIs) against current projections
  • Follow market trends and provide analysis of their impact on main KPIs
  • Evaluate previous budgets, expenditures, and operational efficiency together with results of overall financial analysis in order to develop and implement future budgets
  • Track and determine financial status by analyzing actual results against forecasts
  • Drive process improvement and policy development initiatives that impact the function
  • Develop automated tools and dashboards to provide real-time insights
  • Use ETL tools like SSIS and scripting languages (preferably Python & R) to load data from various source systems into data warehouse(s)
  • Automate existing ETL processes to limit manual intervention
  • Provide technical assistance and cross training to other team members
  • Facilitate decision making by presenting data analysis and interpretation through clear, actionable recommendations
  • Input into team planning and retrospectives on how to best streamline operations and increase efficiencies
  • Monitor key performance indicators and proactively raise issues when they occur
  • Devise and promote creative data visualizations to derive actionable intelligence
  • Prepare communications and contribute to presentations on programme performance
  • Provide subject matter expertise for all data related processes and analyses

Every day is different, and in all these activities, we’d encourage you to show your ingenuity.

Sound like you? To apply you need to be / have:

Competencies

  • Proven strong quantitative abilities with hands on experience with statistical and financial analysis for forecast/trending of performance data
  • Ability to use data and analysis to support process mapping and efficiency analysis
  • Knowledge of working with large data sets in data warehousing or similar environments
  • Technical expertise in database management, ETL processes, SSIS tools and scripting languages
  • Must be able to work with business stakeholders to identify their analytical needs and support them in reaching actionable solutions
  • Strong understanding of analytic/statistical concepts with the ability to explain them to others
  • Detail-oriented, highly organized and able to keep accurate documentation at all times
  • Reliable, self-motivated, and self-disciplined
  • Focused on delivering business benefits and project outputs
  • Can quickly establish credibility and respect with a broad range of stakeholders
  • Able to think logically, organize work flows efficiently, and solve problems independently
  • Excellent presentation, oral and written communication skills, able to communicate with a variety of stakeholders across all levels of the organization
  • Good understanding of digital data-driven developments

Experience

  • 2-3 years of experience as a data analyst ideally in a digital environment
  • Experience of ETL and data warehousing development
  • Experience in landing API(JSON) data using scripting languages preferred
  • Experience in developing visualizations with modern BI tools (incl.Power BI)
  • Experience with process improvement
  • Experience of web analytics applications would be a plus

Apply Now

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