ETL Analyst

Job Description

The Engineering Analysis ETL Business Analyst function implements understands and can operate across the entire analytical workflow from business requirements to solution delivery. 

The Analyst will work with business owners, data architects, database developers and analysts to create data solutions that enable holistic visualizations, forecasts, and ad-hoc analysis to provide deeper insight into various products and their delivery platforms. 

This role is a hybrid role that will also leverage this person’s ability with data manipulation to perform data stigmatization and characterization.

Core Responsibilities/Tasks:

§ Participates in analysis efforts for Cloud TV platforms and IP Migration and will be responsible for business/technical requirements definition/capture, data design and harvest/etl and data enrichment/exploration/visualization/reporting; and possibly modeling and scenario analysis.

§ Participate in business owner consultation to understand and capture business requirements 

§ Work with lead analysts data architects to translate business requirements into technical requirements for data harvesting designs and ETL processes.

§ Use scripting (perl/linux/ruby/bash/SQL or other) language to perform computations and data harvest/extracts from large databases and other sources

§ Enrich data and develop into data summaries and visualizations using understanding of basic statistics and exploratory data analysis concepts

§ Review and refine analysis/visualizations in collaborative effort with lead analysts and business owners

§ When required, develop automation using scripting and other languages to run processes on a schedule.

§ Utilize team best practices to validate that data is loaded correctly and accurately.

§ Be able to translate Proof-of-Concept and Prototype ETL scripts into enterprise grade ETL systems. 

§ Be proficient with various coding standards and best practices related to version control, error logging, and code documentation.

§ Minimum travel.

Qualifications

§ Bachelor’s Degree in technology, engineering, mathematics, computer science, data science; graduate or post-graduate degree a plus

§ 3 to 5 years of experience working with Linux/Shell scripting

§ 3 to 5 years of experience working with scripting languages such as Ruby, Python, Perl or similar in an enterprise environment.

§ 3 to 5 years of experience working with SQL and with relational database systems such as MySQL, Vertica, Postgres, or Oracle in an enterprise environment.

§ 3 to 5 years of experience working with data harvest and ETL systems in an enterprise environment.

§ 3 to 5 years of data manipulation using Excel or similar data exploration tools (VBA, Macros)

§ 1 to 2 years of experience working with visualizing data in Excel/Tableau or other BI platform

§ Exposure to spreadsheet modeling; or programmatic scenario analysis

§ Familiarity with Splunk and extracting data from Splunk

§ Familiarity with REST protocol, JSON and XML data formats

§ Proficient with version control systems such as Git

§ Ability to translate data formats from various data sources using scripting languages

§ Background in statistical analysis and/or engineering is a huge plus

§ Software Development Lifecycle or Agile/Scrum experience preferred

§ Must be a team-player and be able to work closely with business owners, analysts and data architects at various levels

Mode of interview : Telephonic followed by In-person 

Additional Information

For more information, Please contact

Siva Kumar

973-507-7543