Title: Data Sr. Analyst
Location: Richardson, TX 75081 (Hybrid T/W/TH in office: 8am - 5pm)
Duration: 9 Months - Possible extension

Team Overview: Will be working mostly independently but within a team
Headcount opened up to finish a project
Working closely with the data and engineering 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:
SQL
Snowflake preferred
JIRA/GDO

Interview Process:
1st round with team leads (teams)
2nd round with hiring manager (flexible)

Summary:
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 data.

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 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. 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.
• Other Duties as Assigned.

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. 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 45.00/hr.