HI Vendors,

Hope you are doing well..

Please, go through the Below Job Description and share some Suitable

*Need VISA Copy or Photo ID Proof.*

*Title : Data Analyst*

*Client: Microsoft*

*Location: Redmond, WA*

*Contract : Long Term*

Analyze very large data sets spanning advertisers & publishers traffic to
interpret patterns and distributions for such attributes as clicks, impress
ions, page views, and revenue.

·         Provide strong analysis so you can document findings,
conclusions, and effectively make systems recommendations to identify and
mitigate abuse within our advertising platform.

·         Understand algorithms, tools, and techniques to efficiently
investigate or shape invalid advertising traffic within search, mobile, and
display advertising markets.

·         Use statistical techniques to design models/framework that detect
fraud and other traffic pattern risks and iteratively test, refine, and
improve these models or framework.

·         Serve as an escalation point for all traffic quality issues, from
other support & services teams, Traffic Quality Engineers, and other team's
Analysts to gather issue information, assess business impact and resolve
issues escalating to product groups as needed for fixing or improving the

·         Create traffic investigation post mortem and resolution
documentation for issues with large impacts within the advertising
platform. Composing timely worldwide correspondence, presentations or other
materials to partners or customers as appropriate.

·         Collaborate with relevant team members, developers, and Program
Managers to ensure rules or algorithms are in alignment with business

·         Assist in creating processes or policy documentation in alignment
with the business needs.

·         Partner closely with Quality and development teams to identify
bugs in the tool set and providing supporting analysis/ impact information
to product groups.

·         Participate in conferences/forums and industry events .

·         Obtain, parse and evaluate large data sets in order to segment
fraudulent from non -fraudulent payment events, and further employ strong
data analysis skills to devise new risk rules for real time and post real
time decision making .

·         Collaborate closely with the Data Science and Operations Online
Forensics teams to drive strategies involving both real time and post real
time risk decision making, manual review strategy, and collaborative
efforts with the various business groups.

·         Influence team members with varying points of view in order to
derive strong solutions to complex problems requiring expertise from
multiple stakeholders.


·         Bachelors in Computer Science, Statistics, or related field with
a strong analytical emphasis required.

·         Master’s degree in Computer Science, Data Mining, Statistics,
Finance, or Machine Learning desired.

·         Minimum of 1-3 years of related work experience required.

·         Strong written and verbal communication skills in order to convey
information to colleagues, business groups, and members of their immediate
team regarding current KPIs, trends, and reporting from advertising logs.

·         1-2 years working in web analytics,

·         security, computer forensics, or algo trading preferably with
organic or paid search technologies, web analytics tools or development,
ecommerce, publishing network, and/or automated algo trading.

·         Demonstrates high energy/creativity and a passion for analyzing
highly complex data sets.

·         Project management skills and strong debugging skills

·         An entrepreneurial spirit and relentless customer focus

·         Practical understanding of quantitative methods, and superb
attention to detail.

·         Black/White Hat experience with a strong emphasis in malvertising.

·         Extensive knowledge and experience in at least two of the
following areas: data mining, web mining, machine learning, statistics,
business intelligence/customer intelligence, user modeling, information
retrieval, databases, data warehousing, OLAP, data processing (ETL),
emetrics/measurement, parallel and distributed computation (two or more
areas are preferred).

·         Strong theory/algorithm background and very good understanding on
how to apply advanced knowledge to solve real problems.

·         Ability to be flexible taking immediate ownership of
unanticipated fraud/traffic quality scenarios, and responding to ad hoc
investigation requests.

·         Communicate efficiently data mining results to a broad technical
and non technical audience.

·         Functional understanding of different types of malware, adware,
viruses, replication methods, indicators, obfuscation and potential

*Warm Regards,*


*[image: cid:image003.png@01CE3D64.41771430]*

*SYSTEL INC* | *Atlanta, GA *

*A Certified (MBE) Minority Business Enterprise*


*Desk : 678-203-2399 Ext : 311*

*Email ID:* *sampa...@systelinc.com <sampa...@systelinc.com> *

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