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Big Data Analyst

SEATTLE-98101, WA, US
11/28/2019

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Required Skills

Hadoop, Spark QL

Company

Infinity Consulting Solutions, Inc

Experience

5 to 7 Year(s)

Job Description

Responsibilities:

Conduct stakeholder interviews to build self-serve analytical framework requirements may include consumer engagement and/or digital ad engagements across all products

Select methods for performing advanced data analysis

Extensive big data analysis and be able to provide logic to build analytical dimensions and metrics using
Hive, Spark SQL or scripting languages (such as Python)

Document logic in order to help engineering team implement

Build statistical models (using tools specified above)

Cleary communicate design & development strategies to all stakeholders and be able to educate them when needed

Establish, support and maintain standards of analytics and data analytics process

Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company

Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed

Perform ad hoc analysis, interpreting and communicating results in a clear manner

Process, cleanse and verify the integrity of data used for analysis

Evangelize the work product of the data science function within the company - both to executive management and to peers and constituent groups

Coordinate and execute experiments and create frameworks to support those experiments, designed to inform both the strategic and tactical initiatives of the Product team

Assist in the preparation of presentations and formal analysis

Basic Requirements:

5+ years of professional experience as a Data Analyst, mining large scale data and transforming data points to knowledge

Hands-on experience in data analysis tools and frameworks such as SQL, Hive, Spark QL or Python

Solid understanding of big data, and how an organization will be able build data driven products

Understanding of technologies relevant to the data, such as Hadoop, OLAP databases and visualization tools such as Tableau, Looker or similar

Experience with solving complex business problem using deep data analysis

Ability to work collaboratively with team

Preferred Qualifications:

Expert knowledge of big data tools such as SQL, Hive, Hadoop

Expert knowledge in at least one programming language such as python, R, Scala, Java

Experience in working with large datasets (Terabytes or more)

Experience with machine learning models

Data and analytics/measurement experience in digital or mobile app environment preferred

Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus