Data Science Analyst
Company: Cloud Analytics Technologies, LLC
Location: Chicago
Posted on: May 24, 2025
Job Description:
Job OverviewJob ID: J37671Specialized Area: Data ScienceJob
Title: Data Science AnalystLocation: Chicago Heights,ILDuration: 8
MonthsDomain Exposure: Retail, Education, Oil & GasWork
Authorization: Client: To Be Discussed LaterEmployment Type: W-2
(Consultant must be on our company payroll. C2C is not allowed)We
are looking for individuals who excel at executing an analytics
vision, with a focus on efficiency and sustainable value creation,
through the use of data transformation, data analysis, converting
business problems into analytical problems, quickly iterating on
machine learning / analytics models, and building and deploying
analytical solutions in a sustainable manner to deliver value to
our internal client organizations.A successful candidate will bring
advanced knowledge of best-in-class data transformation and
analysis methodologies, analytics / machine learning tools and
techniques, and an ability to adapt to, and learn very quickly
from, a very diverse environment of data, technology, business
problems and stakeholders.A Day in The Life Typically Includes:
- This is a highly visible execution role for the business
solutions analytics capability throughout the organization. The
Data Analyst creates and manages the execution roadmap for the
analytics strategy developed for a specific client organization /
problem.
- Serve as an analytics ambassador at the client organization, to
build the path between strategy, data science model design, and
solution development and deployment in client organization.
- Serve as the primary contact for execution and collaboration
across teams business, strategy, consulting, IT, data science
- Ensure that all requirements for the data science team are met,
and create a sustainable plan to serve these needs on an ongoing
basis
- Be the primary point of resolution for all issues like data
security, data ingestion, solution deployment, unexpected
delays
- Identifying sources for data acquisition and ingestion
- Performing ETL on the data, both internal and external
sources
- Data cleaning and quality analyses
- Designing processes for delivering inputs to data science team,
and consumption of insights / recommendations by the business
teams.
- Automation of various process to make them as efficient as
possible
- Escalating issues related to data, analyses, solution
development and deployment to the relevant leaders immediatelyWhat
You Will Need: Basic Qualifications:
- Experience with data manipulation, especially using tools like
R, Python, SQL
- Ability to build machine learning models, especially through
quick experimentation and iteration
- Ability to extract insights from data through analyses
- Ability to translate analytics into business insights
- Stakeholder management capabilities, including communication
across global teams
- Experience with broad business problem-solving using advanced
analytics (Data Science, Machine Learning, Artificial
Intelligence)
- Hands-on experience in building models of advanced analytics,
machine learning etc. outside just an academic space
- Hands-on experience with (EDA) Exploratory Data Analyses like
univariate, bivariate, correlation, simple regression etc.
- Expertise in handling data including extraction, clean up,
quality analysis, preparation for data science, ingestion,
extraction of insights, creating benchmarks, answering simple
business questions
- Hands-on experience with one or more of advanced analytics
tools like SAS, R, Python
- Hands-on experience with one or more of reporting solutions
like Tableau, Power BI, Qlik, Spotfire
- Should know the basic principles of modular solution
designBonus Skills:
- Experience working with remote teams, especially with teams
spread out globally
- Experience in supply chain analytics or operational analytics
in an industrial environment
- Hands-on experience with data exploration tools and databases
like SQL, HIVE, Oracle, Redshift, Alteryx, Hadoop, BigQuery
etc.CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity
employer inclusive of female, minority, disability and veterans,
(M/F/D/V). Hiring, promotion, transfer, compensation, benefits,
discipline, termination and all other employment decisions are made
without regard to race, color, religion, sex, sexual orientation,
gender identity, age, disability, national origin,
citizenship/immigration status, veteran status or any other
protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make
any posting or employment decision that does not comply with
applicable laws relating to labor and employment, equal
opportunity, employment eligibility requirements or related
matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a
posting or otherwise U.S. citizenship or lawful permanent residency
in the U.S. as a condition of employment except as necessary to
comply with law, regulation, executive order, or federal, state, or
local government contractEqual Opportunity EmployerCLOUD ANALYTICS
TECHNOLOGIES LLC is an equal opportunity employer inclusive of
female, minority, disability and veterans, (M/F/D/V). Hiring,
promotion, transfer, compensation, benefits, discipline,
termination and all other employment decisions are made without
regard to race, color, religion, sex, sexual orientation, gender
identity, age, disability, national origin, citizenship/immigration
status, veteran status or any other protected status. CLOUD
ANALYTICS TECHNOLOGIES LLC will not make any posting or employment
decision that does not comply with applicable laws relating to
labor and employment, equal opportunity, employment eligibility
requirements or related matters. Nor will CLOUD ANALYTICS
TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship
or lawful permanent residency in the U.S. as a condition of
employment except as necessary to comply with law, regulation,
executive order, or federal, state, or local government
contractSome of our Business Ventures - Knowledge Analytics
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Keywords: Cloud Analytics Technologies, LLC, Schaumburg , Data Science Analyst, Professions , Chicago, Illinois
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