Job Description :

Job Title: Sr. Data Analyst 

Job ID: 36818 

Location: El Segundo, CA 90245 

Duration: 12+ Months with possible extensions 

Interview Process: Phone/WebEx 

Number of Positions: 1 

Additional SitesDallas, TX 75019 

*** This can be a remote position, but the manager prefers local for when they need to report back to the office 

Required Skills: 

Data Analyst: 

SQL (data mining, coding): 

Excel (Big datasets and modeling): 

Power point (Visualization): 


Top 5 Skills / Additional Job Posting Description Details * 

1) SQL and database digging (role would be focused on data support for upcoming product enhancement and analysis) 

2) Analytical thinking (there are no pre-existing solutions for the most of the request so candidate should be able to find the way to figure and explain based on open question and the raw data) 

3) Excel (formulas, working with big datasets, manual modeling) 

4) Agility (my group located at Product Marketing, but analytical function covers much more busines needs such as Sales Enablement, Viewership analytics , Supply chain , so the ideal candidate should be open to learn different aspects of the business and being agile in prioritization of the requests and work) 

5) Communicability (being able to list and summarize all the findings and communicate it in different formats to the leadership and groups) 

SQL (data mining, coding) 

Excel (Big datasets and modeling) 

Power point (Visualization) 


Communicability and detailing to the scope. 

Roles and Responsibilities:  

1) Conducting full lifecycle analysis to include requirements, activities and design.  

2) Data Analysts will develop analysis and reporting capabilities.  

3) Monitor performance and quality control plans to identify improvements.  

4) Ability to turn project requirements into custom-formatted data reports.  

5) Able complete life cycle data generation and outline critical information for each Project Manager.  

6) Able to analyze business procedures and recommend specific types of data that can be used to improve upon them.  

7) Create a prioritized list of needs for each business segment and area of focus.  

8) Identify and recommend new ways to save money by streamlining processes.  

9) Work with managers to outline the specific data needs for business method analysis project. 


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