Data Analyst w/ Big Data and NO SQL from Banking/ Finance Domain- Philadelphia, PA - Georgia IT Inc.

Job # 9027 
Title: Data Analyst – w/ Big Data and NO SQL from Banking/ Finance Domain
Rate: $ 50/ hour on W2 only
Location: Philadelphia, PA F2F Required
 
 
 
Summary:

• The Data Analyst will collect and analyze data to reveal insights regarding the processes, procedures and performance of Comcast's cutting edge IP video products and their operation.
• Access multiple tools and "big data” sources to calculate metrics critical to our operation, e.g. mean-time-to-repair and system up time.  You will also work to correlate those metrics to other data, e.g. product usage, customer call volume and truck rolls.
• Develop a procedural model to analyze our operation, facilitate management decisions and inspire important, new questions for us to answer toward our operational excellence goals.
• Interface with other analysts, project management, and technical leads across multiple teams and evangelize an ethic of constant improvement thanks in part to the insights you provide.

 
Responsibilities:

• Work with other analysts and to facilitate management decisions in both the Operations team (e.g. procedure changes) as well as Engineering (e.g. architecture changes).
• Effectively interview stakeholders to establish a firm understanding of problem statements as well as operational and business objectives.
• Apply querying skills (R, SQL) to pull from large data stores, e.g. "big data” & Hadoop.
• Manage and escalate risks & opportunities as needed as well as track a "backlog” of data source needs and feature requirements critical to ensuring delivery of insights.
• Help cultivate a procedural model for predictive analysis and operational improvement.
• Assemble metrics, insights and recommendations for Management, hosting meetings to socialize takeaways and field follow-up questions as needed.
• Apply your own technical knowledge to offer recommendations and solve problems.
• Occasional travel to Denver, CO for tool orientations and cross-team meetings.

 
Qualifications:

• 5 years in a Data Analyst or Business Analyst role – preferably in Banking, Finance, Advertising, Marketing or other highly accountable, data-driven vertical.
• 5 years experience with big data and NoSQL databases, e.g. Hadoop, MongoDB.
• 5 years proven track record delivering insights to Management in a complex ecosystem
• 5 years of data manipulation and querying traditional and big data sources, e.g. Pig, Hive, Spark-R, MATLAB, TSQL, SOAP, etc.
• 5 years working in business intelligence ETL products, e.g. Pentaho, Jasper.
• 5 years working in visualization products, e.g. Tableau, Rosetta.
• 5 years exposed to database operations, e.g. architecture, deployments, upgrades.
• Adept and comfortable working in a fast-paced and rapidly changing matrix environment.
• Ability to quickly establish credibility based on rapport and knowledge of resources.
• Excellent organizational skills and ability to prioritize tasks with a high level of detail
• Effective facilitator with excellent analytical, problem solving and consensus building skills
• Courageous, assertive and determined to remove impediments at all levels
• Excellent verbal and written communication as well as organization and time mgmt skills.
• Environment:  Tableau, Splunk/Hunk, Excel; R, Spec-R, Python; SOAP, XML Web svcs
• Databases: Hadoop, MongoDB, T-SQL, PL/SQL, MS SQL Server, MS-Access

 
Nice-to-Haves:

• 5-10 years working in Splunk/Hunk, Rosetta, Oracle
• 5-10 years in Web or TV audience measurement and analysis (Nielsen, ComScore).
• Environment:  Splunk, Rosetta, Rentrak, Oracle, Google Analytics, SSIS
• BS in Math, Computer Science, or equivalent experiences a plus.

 
 
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