Senior Data Analyst

  • Richardson, TX
  • Posted 5 hours ago | Updated 5 hours ago

Overview

Hybrid
$50 - $60
Contract - W2
Contract - 10 Month(s)

Skills

Snowflake
data visualization
Data Warehouse
Data Structure
Data Modeling
Data Integration
Data Engineering
Tableau
SQL

Job Details

Title : Sr. Data Analyst
Location : Richardson, TX 75081 - Hybrid
Duration : 10+ Months Contract

Hybrid - TUE, WED, TH IN OFFICE & MON, FRI REMOTE

Summary:
Team Overview:
Will be working mostly independently but within a team

Resource's typical working day:
Product Role
Working with the business
Flesh out data requirements
Flesh out data strategy
Working with engineers

Must Have Skills:
Communication and being able to speak in laymens terms with senior team leaders
Being able to articulate well in presentation
Detail oriented

Nice to have skills:
Data product experience
Real Estate experience
Collaborative
Self-starter

Years of Experience:
3-5 years

Education
Bachelor's degree preferred, will accept extra experience in lieu of degree

Software skills:
SEQL
Snowflake preferred
JIRA/GDO

RESPONSIBILITIES
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 CBRE data.

ESSENTIAL DUTIES AND 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 open source programs including 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 CBRE business units; Designs work flows and procedures.
Identifies opportunities to maximize data usage, applying modelling 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. Tableau, Power BI).
Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.
Is well versed in data visualization techniques.

Desired Skills and Experience

QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

EDUCATION and EXPERIENCE
Bachelor's degree from top tier school in computer science, math, engineering or related field.
Masters degree preferred.
Minimum of 5 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.