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Data Analyst
Cushman & Wakefield St. Louis, MO
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$101k-131k (estimate)
Full Time 8 Months Ago
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Cushman & Wakefield is Hiring a Data Analyst Near St. Louis, MO

Job Title

Data Analyst

Job Description Summary

The Data Analyst position is responsible to provide analytical support to Design integration competencies through the creation and maintenance of various BI reports, analysis, PowerPoint presentations, data models, data quality checks and scripting.

Job Description

Job Responsibilities:

  • Assist product owners of Design Catalog and Design Technology with user behavior, user activity, document usage and from all systems to proactively improve user experience, detect anomalies or check for data quality
  • Monitor and report on the usage and effectiveness of the Design Catalog, suggesting improvements as needed
  • Understand the business and information needs of business owners and translate those needs into BI/analytics/reporting requirements and make better data informed decisions
  • Support the design, development, and maintenance of ongoing metrics, reports, data mining, analyses, dashboards, PowerPoint presentations etc. that drive meaningful, timely, and actionable insights and can be easily interpreted by users
  • Maintain appropriate documentation around BI solutions and systems – including assumptions, complex calculations, process and data flow diagrams, and other relevant information
  • Research, study, and analyze system or process related issues/incidents as escalated and provide appropriate resolution(s)
  • Recommend process improvement opportunities – document current state process and create future state process documentation
  • Collaborate with other data teams to exchange information, understand data context of tables, suggest attribute optimization, influence data entry quality, and build data models to expand and grow in an organized manner
  • Maintains and support databases, including inputting and correcting data, determining formats, researching data conversions, establishing data specifications, configuration/integration, updating sources and ensuring data integrity
  • Collaborate with external vendors that administrate systems or develop software to integrate to their data storage and leverage it for analytical purposes
  • Teach business users how to interact with the visualizations and interpret the results, and develop reference materials
  • Develop and implement training programs and communication plans to improve user adoption and effectiveness of new and existing features

Requirements:

  • Proven experience in business and data analytics
  • Strong working knowledge of software and tools including, but not limited to, SharePoint, PowerBi, Python, and SQL, Jupyter notebooks, common data analysis libraries and data wrangling tools
  • Comprehension of enterprise applications such as SharePoint, BIM 360, MatterPort, Data Lake, Redshift, RD Datamart, Unifi/Content catalog, PlanGrid and others
  • Understanding of business processes such as user onboarding, domestic document uploading, Design project setup, Prototype template releasing
  • Ability to find solutions to business problems from data-driven insights
  • Strong working knowledge of data management best practices and experience implementing and maintaining them
  • Ability to read and write data via API requests, OBDC connectors and other common methods
  • Ability to define problems, collect data, establish facts, and to draw valid conclusions
  • Solid business judgment, collaboration, and critical thinking skills
  • Must be able to be able to explain technical concepts and procedures to non-technical users
  • Strong interpersonal skills
  • Good communication and customer service skills are required
  • Curious nature, intuitiveness, challenge the status quo
  • Travel; 1-2 trips per year
Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.The company will not pay less than minimum wage for this role.The compensation for the position is: $76,500.00 - $90,000.00Cushman & Wakefield provides equal employment opportunity. Discrimination of any type will not be tolerated. Cushman & Wakefield is an Equal Opportunity / Affirmative​ Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by state, federal, or local law.

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or emailHRServices@cushwake.com. Please refer to the job title and job location when you contact us.

Job Summary

JOB TYPE

Full Time

SALARY

$101k-131k (estimate)

POST DATE

10/19/2023

EXPIRATION DATE

07/10/2024

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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