Company: Cognizant Technology Solutions
Posted on: November 22, 2021
Sr. Data Analyst Qualification : Post-grad in one of the
following fields with strong academic credentials : Computer
Science/IT. Operations Research/Applied Math. Engineering.
Statistics. Responsibility : Business : 'Works with the business
team to identify the right business problem, gather the
requirements and data required to answer the same. Data exploration
, hypothesis testing and statistical modeling are part of daily
activities. Involved in development , testing, evaluation and
optimisation of models developed. Analyzes data and generates
insights that can articulated to business stakeholders. Develops
hypothesis for testing in consultation with Principal/Domain SME
and Business teams. Stakeholder Management : ' POC for all the
daily based activities and ensures the availabilty of all the
required information with all the team at all the times. 'Build the
collaterals which are durable and reusable Communicate analytical
results in a way that is meaningful for business stakeholders and
provides actionable insights. Coordinates in communicating the data
needs with both technology and business teams to ensure that right
data is captured for analysis and modeling. 'Design qualitative &
quantitative research instruments & methods (example: machine
learning models, surveys, interviews etc) to capture the data if
required. Integrate qualitative & quantitative information to
create insights. Project Management : 'Ensures that all the
deliverables meets the delivery excellence standards and meets the
stakeholders' expectations. Identifies risks to project execution
and works with stakeholders to mitigate the same. Execute the
design, analysis, or evaluation of assigned projects using sound
engineering principles and adhering to business standards,
practices, procedures, and product / program requirements. Data
Analytics and Reporting : ' Explore and examine data from multiple
disparate sources. Prepare a data collection plan from both
structured and unstructured sources. Collaborate and coordinate
with Technology and Business teams for all data needs. Expert level
proficiency in data handling (SQL). Data Discovery & Profiling : '
Perform exploratory data analysis and generate insights. Validate
hypothesis developed during exploration phase. Present initial
results to business stakeholders and identify the next steps.
Design experiments with test and validate multiple hypothesis to
meet/exceed expectations of customer due to the dynamic
environment. Data Modelling : Create models using one or more of
the platforms like R, SAS, Python, Matlab Model creation would
involve one or more of the following technqiues : 1 Classification.
2 Clusterning, Segmentations. 3 Time Series. 4 Market Basket
Anaysis. 5 Text Mining(Structured and Unstructured Data). 6 NLP,
NLU, NLC. 7 Decision Trees, RF. 8 Network Analysis. 9 Linear
Programming. 10 Optimisation. 11 Deep Learning. ' Testing and
validating the model. Deriving insights and recommendations from
the models. Performing data visualization and presentation to
clients. Innovation & Thought Leadership : ' Provide
thoughtleadership and dependable execution on diverse projects.
implement best practices and technology. Discover new avenues by
disecting the data and identify which all models can be utilised
for a given business problem. Provide expertise thru PoCs and PoVs.
Knowledge Management : 'Prepare a design, requirement document.
Document all modeling steps in a systematic way including modeling
process, insights generated , presentations , model validation
results and checklists built in the project. Prepare a one pager
document that outlines and quantifies the business impact due to
the DS project. People/Team Management : ' Mentor a team of Data
Scientists. Set the timelines and monitor the progress of the
project. Ensure the timely delivery of deliverables and addresses
the concerns related to tasks. Understand aspirations of team
members. Set goals for team members and monitor performance.
Conduct appraisals. Identify, priorities and deploy action items
for competency development. Guide the employee in setting career
paths. Must Have Skills Spark SQL Developer Good To Have Skills
Databricks Employee Status : Full Time Employee Shift : Day Job
Travel : No Job Posting : Sep About Cognizant Cognizant
(Nasdaq-100: CTSH) is one of the world's leading professional
services companies, transforming clients' business, operating and
technology models for the digital era. Our unique industry-based,
consultative approach helps clients envision, build and run more
innovative and efficient businesses. Headquartered in the U.S.,
Cognizant is ranked 185 on the Fortune 500 and is consistently
listed among the most admired companies in the world. Learn how
Cognizant helps clients lead with digital at or follow Applicants
may be required to attend interviews in person or by video
conference. In addition, candidates may be required to present
their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. All qualified
applicants will receive consideration for employment without regard
to sex, gender identity, sexual orientation, race, color, religion,
national origin, disability, protected Veteran status, age, or any
other characteristic protected by law. If you have a disability
that requires a reasonable accommodation to search for a job
opening or submit an application, please email with your request
and contact information.
Keywords: Cognizant Technology Solutions, Plano , Data Analyst, Professions , Plano, Texas
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