IT Business Intelligence(BI) Analytics Manager
Company: Labcorp
Location: Burlington
Posted on: October 29, 2024
Job Description:
Labcorp is recruiting a IT Business Intelligence(BI) Analytics
Manager for a dynamic team in RTP or Burlington, North Carolina.
Our passion lies in leveraging LabCorp Holding's data assets, to
create value for the company and its stakeholders. The IT Business
Intelligence (BI) Analytics Manager is primarily responsible
leading a team of BI Professionals for the design and maintenance
of business intelligence and analytical capabilities. These include
both new development and ongoing support for various LabCorp
Holdings business units. The IT Business Intelligence (BI)
Analytics Manager will support and implement solutions that lead to
insightful analytics, make predictions or generate recommendations,
using best-in-breed tools.This candidate is someone who is master
at analyzing data and has experience developing analytical models
to predict customer behavior and business events. Passionate about
developing algorithms to solve real problems in wide range of areas
from Marketing, Finance, Supply Chain to Clinical Bioinformatics. A
successful candidate will thrive in an environment where problem
solving is the core function of their role. He/she is confident
being pushed to learn new technical concepts or programming
languages in a short period of time.This role is part of Corporate
IT and you will have overall responsibility for the dissemination
of analytical thinking and skills into the rest of the informatics
organization, including our BI team that utilize advanced
techniques to interpret and represent machine learning and
statistical modeling outcomes. You will work closely with teams to
champion informatics-based innovation efforts and execute a
prioritized roadmap of experiments that take advantage of business
opportunities.Required Knowledge, Skills - Abilities:- Hands-on
experience Data analysis, predictive model, statistical model
design, development and validation including:
- Write complex SQL queries to turn transactional data into
information.
- Develop traditional supervised and unsupervised analytical
models (Regression, Decision Tree, Clustering, Segmentation,
PCA/SVD, Mixture Modeling, and Expectation Maximization).
- Meet with stakeholders, develop positive relationships, and
turn problems into projects.
- Design, develop, implement and oversee high-end analytical,
technology processes and solutions with a focus on leveraging
advanced analytical methods.
- Build analytical solutions for diverse business areas from
Value chain to HR by manipulating large data sets and integrating
diverse data sources.
- Build skills in analytical areas relating to pattern
recognition, machine learning, knowledge discovery, and information
retrieval techniques.
- Develop and score both classification and predictive
models.
- Create information-rich data visualizations and reports from
complex data.
- Build knowledge of health care business processes, including
billing, results delivery, clinical trials, marketing, diagnostic
testing.
- Perform ad-hoc analysis and develop reproducible analytical
approaches to meet business requirements.- Ability to gather data,
compile information, and prepare reports.- Understanding and
hands-on use of ETL tooling (Alteryx, Tableau Prep,DataStage,
Talend, Glue) and replication processes to centralize and
standardize data coming from one or more source system.- Management
experience building and leading a team of designers for analytical
applications.- Strong information architecture and visualization
skills required.- Proficient with user interface design patterns,
data visualization, data mining and/or analytics and standard user
centered design methodologies.- Ability to deliver quality work
within strict deadlines while managing multiple priorities and
acting with a sense of urgency; able to work well with complexity
and ambiguity.- Excellent interpersonal, analytical, and
problem-solving skills.- Relates well to others, engages people and
helps them understand change, provides and looks for feedback,
articulates clearly, and actively listens.- Understanding of Agile
Methodologies and Scrum framework Teamwork skills with the ability
to work in complex cross-functional settings.- Your ability to
interpret highly specialized healthcare and value chain terms and
data, and present derived insights, visually and orally, to others
with different areas of expertise, will be key to your
success.Requirements:
- Bachelor's degree in Statistics, Engineering or Computer
Science and 4 years' experience OR Master's degree in quantitative
field, such as Statistics, Engineering, or Advanced Analytics.
- Experience leading large scale data science projects and
delivering from end to end.
- 7+ years of experience using variety of data tools, building
and implementing models, using/creating algorithms and
creating/running simulations.
- Experience in advanced machine learning algorithms -- deep
learning, boosting methods, time series etc.
- 5+ years of experience in SQL development
- Deep expertise with R, Python, Alteryx SageMaker, Spark,
PySpark. SAS a bonus.Labcorp is proud to be an Equal Opportunity
Employer:As an EOE/AA employer, Labcorp strives for diversity and
inclusion in the workforce and does not tolerate harassment or
discrimination of any kind. We make employment decisions based on
the needs of our business and the qualifications of the individual
and do not discriminate based upon race, religion, color, national
origin, gender (including pregnancy or other medical
conditions/needs), family or parental status, marital, civil union
or domestic partnership status, sexual orientation, gender
identity, gender expression, personal appearance, age, veteran
status, disability, genetic information, or any other legally
protected characteristic.We encourage all to applyIf you are an
individual with a disability who needs assistance using our online
tools to search and apply for jobs, or needs an accommodation,
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Keywords: Labcorp, Greensboro , IT Business Intelligence(BI) Analytics Manager, Executive , Burlington, North Carolina
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