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Senior Data Analyst job in Boston at BGIS North America

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Senior Data Analyst at BGIS North America

Senior Data Analyst

BGIS North America Boston, MA Full Time
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Who We Are?  

BGIS is a leading provider of customized facility management and real estate services. With our combined team of over 6,500 globally, we relentlessly focus on enabling innovation through the services we deliver, while actively looking for new opportunities that will enable innovation for our clients’ businesses. Globally, we manage over 320 million square feet of client portfolios across 30,000+ locations in North America, Europe, Middle East, Australia and Asia.  

Further information is available at [ Link removed ] - Click here to apply to Senior Data Analyst

SUMMARY for Senior Data Analyst position:

Responsible for ensuring the business makes better decisions through collection and usage of data.  Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, use data visualization techniques, and report on internal and client data.

KEY DUTIES & RESPONSIBILITIES

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.
  • Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs. Defines data requirements and gathers and validates information, using judgment and statistical tests.
  • Utilizes programming and analytical tools, including programs like Tableau, Microsoft Power BI, Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.
  • Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate business units; Designs work flows and procedures.
  • Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.
  • Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).
  • Present a comprehensive 'data story' to multiple levels of the organization.
  • Records all activity in IT Change Logs, manages version control of issued outcomes, and assures flawless data quality control.
  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.
  • Defines data requirements and gathers and validates information, using judgment and statistical tests.
  • Utilizes programming and analytical tools, including programs like Tableau, Microsoft Power BI, Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.
  • Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate business units; Designs work flows and procedures.
  • Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.
  • Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).
  • Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

KNOWLEDGE & SKILLS

  • Minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including
  • 3-5 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.
  • Bachelor's degree in computer science, math, engineering or related field. Master’s degree would be considered an asset.
  • Ability to perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Ability to develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.
  • Ability to define data requirements and gathers and validates information, using judgment and statistical tests.
  • Utilizes programming and analytical tools, including programs like Tableau, Microsoft Power BI, Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.
  • Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate business units; Designs work flows and procedures.
  • Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.
  • Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).
  • Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization
  • Experience in Corporate Real Estate would be considered an asset
  • Advanced Project Management knowledge would be considered an asset
  • Up to 25% travel

Licenses and/or Professional Accreditation

  • Driver’s License required
  • Valid Passport required

Our company culture includes a robust mix of sound business practices and employee initiatives that promote personal and professional development, work/life balance, health and wellness and community involvement.

The Company is an equal opportunity employer. We believe every employee has the right to work in surroundings that are free from all forms of unlawful discrimination. We are committed to providing equal employment opportunity to all employees and applicants without regard to race, color, religion, gender, national origin, age, disability, ancestry, creed, marital status, sexual orientation, or Veteran or military status, genetic information or any other basis prohibited by local, state or federal law in the relevant jurisdiction. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training.

BGIS is committed to strengthening our diversity through recruiting and retaining minority and women professionals from all backgrounds. Our commitment is consistent with our recognition that it is the outstanding people within BGIS who have always been the source of our strength. We recognize that promoting diversity is an integral component of our continuing quest for organizational excellence.

This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity.

Anyone with questions or concerns regarding Equal Employment Opportunity should contact their direct supervisor or the Human Resources Department without fear of retaliation of any kind.

 

Recommended Skills

  • Data Analysis
  • Analysis
  • Engineering
  • Tableau (Busines Intelligence Software)
  • Architecture
  • Data Warehousing
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