Data Analyst


Salary:

$43.54 to $50.41 per hour

Location:

Universal City, CA

Date Posted:

May 21, 2019

Employment Type:

Contract to Full Time

Job Reference:

00290-0010951268

Staffing Area:

Technology & IT


Description
***Please send resume to [email protected]***


The Senior Analyst, Applied Analytics, will be responsible for delivering advanced analytics- and data-centric business support across our client?s business units located on the West Coast. In this role, you will maintain a broad perspective regarding data assets and analytic activity, while aligning and executing with business units at a local level. You will provide expertise in data/analytics, with a focus on initiatives that empower business units to extract greater value from company data assets and deliver insights derived through advanced analytics. You will embrace an external, business-facing focus, applying innovative approaches to solve complex
? Deliver data- and analytics-centric solutions for businesses, complementing existing business teams with additional resources, perspectives, ideas and solutions.
? Bring an analytical, data-driven mindset and focus on solutions to business partners and collaborate with their teams to deliver meaningful value by utilizing enterprise data assets.
? Capture business requirements for EBI data and analytic solutions, and collaborate with business unit analysts, IT, and EBI peers to ensure business requirements align with business needs.
? Execute assigned portions of analytics projects; lead day-to-day collaboration with analysts in business units and across EBI.

Must Haves:
? Previous analytics experience in Entertainment, Media, Communications, Financial Services, Travel/Leisure, or related industries.
? Acts collaboratively with a ?one company? mindset at all times.
? Creative problem-solver; takes initiative; personal accountability to follow-through.
? Takes ownership for getting things done; achieves goals through disciplined execution.
? Solid verbal, written and presentation skills.
? A Bachelors? degree is required, with strong preference for quantitative coursework in Business, Finance, Economics, Behavioral Science, Mathematics, Statistics, Quantitative Methods, Engineering, Operations Research, Computer Science or related field of study. An advanced degree (MA, Microsoft, PhD or equivalent) in one of the above fields of study is valued.
? Strong technical skills (e.g., SQL, SAS, R, Hive, Python), data visualization skills (e.g., Domo, Tableau, PowerBI), and advanced analytics skills are required; web and marketing analytics skills (e.g, Adobe Analytics, Google Analytics, SalesForce) are valued.
Requirements
Media, Python, SQL, Tableau, Adobe Analytics
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