Business Analyst
Charlotte, NC, United States
What This Job Involves –
Business Analytics
Develop and maintain an integrated data model incorporating data from multiple service lines to be used to develop outputs to support service line and account delivery.
Perform proactive exploratory data analysis to uncover trends, insights for performance improvement, client financial impacts and to challenge portfolio decision making.
Devise and promote creative data visualization to show thoughtful, fit-for-purpose insight to client on a proactive basis.
Supporting on account business line organizations with all data requirements and develop methods to improve data collection, data cleaning and metric calculation, ensuring the data is accurate and fit for purpose.
Provide trainings on technology tools and processes to JLL employees and client when necessary
Respond to ad hoc requests, projects, and other activities as required from account leadership or service line leads.
Perform complex analyses leveraging advanced analytical techniques and big data environments / capabilities where needed.
Data Validation & Governance Assistance
Leverage industry tools (e.g. PowerBI, Tableau, Alteryx) and proprietary tools (i.e., Lighthouse) to assess data quality and assist to resolve data quality problems.
Assist with big data clean-up activities in relation to critical data sets e.g., property, finance, energy & asset data.
Work with business line data stewards and other stakeholders to identify remediation actions when Critical data quality falls below the accepted threshold.
What is your day to day?
Business analysis, consulting/advisory and/or project or client management experience
Listening and consultative skills to understand business needs; be able to interpret requirements identify impacts and analyze problems.
High level of technical skills with demonstrated ability to manage, manipulate, analyze raw data, research data issues, draw conclusions, provide resolution, and develop actionable recommendations.
Superior analytical and creative problem-solving skills.
High level of attention to detail and accuracy.
Ability to collaborate across levels of enterprise within a geographically dispersed team.
Technical communication – ability to present complex technical information to clients and colleagues in an easily digestible way
Strong analytical mind-set with an ability to interpret, visualize and tell the story behind the data.
Passion for both business understanding and leveraging data to improve business processes and support decision making.
Required
Desired experience and technical skills
4+ years of business or data analyst experience
Demonstrated successes in data analysis, drawing conclusions and improvement.
Expertise in BI, data science, computer science, econometrics, operations research, statistics, Information Management.
Expert level skills in MS Excel.
Working experience in BI tools (PowerBI and/or Tableau), querying databases (SQL), ETL tools (PowerQuery and/or Alteryx ) and bulk data manipulation.
Preferred
Experience in an enterprise environment across multiple application systems and business functions with depth of experiences in financial analytics.
Bachelor’s degree or advanced degree.
Working experience in analytical toolkit, such as R or Python.
Working experience in Project and Financial Forecasting.
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