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Data Analytics Jobs in New Jersey

Data Analytics Co-Op Jobs
By Johnson & Johnson At Titusville, NJ, United States
Experience utilizing dashboards and data visualization software (Tableau and/or Dataiku) is preferred but not required
Experience in pharma data (patient, physician, claims, etc.), data integration, and pharma analytics/metrics is preferred but not required
Ad hoc analyses utilizing secondary data sources
Process and analyze performance trends through automated dashboards
Collaborate with key internal and external partners on national and subnational reporting deliverables
Conduct deep dives and targeted analytics to answer critical business questions that arise from the weekly and monthly performance results
Vp, Global Data & Analytics Leader
By Everest Re Group, Ltd. At , Township Of Warren, 07059
Strong knowledge and experience with modern Data & Analytics platforms including Data Lake, Data Bricks, ML Ops, AI and ML capabilities
Hands-on knowledge of current technology standards/trends coupled with a desire to continually expand personal knowledge/skills
Working Knowledge of Data Streaming or similar capabilities such as Kafka, Kinesis, etc.
Manage the engagement / coordination across delivery teams to ensure high quality project delivery within scope, timeframe, and budgets
Mentor and coach engineering teams to increase skill levels and drive quality.
15+ years of overall technology experience in strategy, architecture, engineering, and implementing technology solutions and services
Head, Clinical Data Analytics Products
By Sanofi At Bridgewater, NJ, United States
Education: Bachelor’s in Computer Science/Engineering or equivalent, Certifications in Product Management/Agile preferred
10+ years technology Leadership and Management experience, within a large international and geographically distributed organization with cultural diversity.
Expertise with data management and software engineering practices, architectures, tools/technologies and delivery management
Clinical expert: the ideal candidates should have demonstrable Clinical experience with the understanding of broader R&D and RWE.
Manage the relationships of program teams, stakeholders and vendors
Validate and manage resources, guarantees their availability, and arbitrate if needed, resources allocations
Data & Analytics Specialist Jobs
By Bristol Myers Squibb At Princeton, NJ, United States
Collaborate with cross-functional teams to understand business requirements and associated data needs to help define data-driven solutions
Participate in knowledge sharing sessions to share learnings and accomplishments
Openly considers new ways and solutions to enhance their own work and offers new ideas/continuous improvement.
Collect, clean, and transform data from various sources to prepare it for analysis
Build ETL/ELT pipelines and reusable tools to automate/streamline data analytics solution
Document work and maintain accurate records of data sources, methods, and results
Sr. Mgr, Consumer Data & Analytics
By Mondelēz International At East Hanover, NJ, United States

Job Description IN THIS ROLE In this role you will have the opportunity to make a big impact on our business performance as you support the data strategy and lead the ideation, development and ...

Manager, Na Data & Analytics
By Mondelēz International At East Hanover, NJ, United States
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
What extra ingredients you will bring:
Senior Manager, Na Data & Analytics
By Mondelēz International At East Hanover, NJ, United States
> Work collaboratively with multiple teams and external partners to build the analytics roadmap which aligns with overall business objectives.
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
What extra ingredients you will bring:
Developer, Data & Analytics Jobs
By HeadQuarters At Fairfield, NJ, United States
Knowledge of data management fundamentals and data storage principles
Demonstrated experience in relational database concepts with an expert knowledge of SQL
Perform business analysis and gather requirements to support a variety of data projects.
Assemble large, complex data sets that meet functional/non-functional business requirements.
Perform excellent troubleshooting and problem-solving skills
Perform excellent analytic skills associated with working on unstructured datasets
Analyst, Na Data & Analytics
By Mondelēz International At East Hanover, NJ, United States
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
What extra ingredients you will bring:
Data Scientist, Analytics & Insights
By LG Electronics North America At Englewood Cliffs, NJ, United States
Support Ad hoc data analysis requirements as needed
Some experience with AWS, Azure or GCP required. Experience with Google Marketing platforms and GCP preferred (Big Query and BQML)
Experience working with GA360 log level data a plus
Design and deliver data-driven insights and automation for marketing (using statistics, data mining, machine learning, and deep learning techniques as applicable)
Work with various client marketing teams to understand their challenges and create solutions
Be a thought leader for your team on projects and about leading technologies
Vp & Global Practice Head - Ai, Ml & Data Analytics
By InvestHR,Inc. At New Jersey, United States
What You Need to Succeed / Required Skills
· 12+ years’ experience in AI, ML, Data Science, Analytics, NLP/NLU/NLG
· Domain experience in developing and implementing solutions in Financial, Technology, Manufacturing, or Consumer sectors
· Advanced Certification in AWS, Azure, or Snowflake is preferred
· Strong leadership skills, with the ability to inspire and motivate team members to achieve their potential
· Exceptional communication skills, with meticulous attention to detail.
Director, Corporate Data And Analytics
By Mondelēz International At East Hanover, NJ, United States
Relationship management, for example creating relationships and building trust with internal
Data management, for example data integration (ETL) or metadata.
▪ Statistical skills, for example understanding the difference between correlation and causation.
Minimum of 10 years experience
Help Mondelez Executives to identify analytics use cases and opportunities and prioritize actions based on business value
Make sure that solutions and adopted, embedded in business processes and measured for impact
Data Analyst – Data Science & Analytics
By Heitmeyer Consulting At Mt. Laurel, NJ, United States
3-10+ years of experience in a data science/advanced analytics related role
Recent banking experience is a must
Experience in either MS Azure Cloud OR Databricks
Data Visualization and Reporting experience using Tableau or Power BI
Experience in Agile methodology using Jira and Confluence
Excellent communication and interpersonal skills to work with stakeholders
Associate Director - Data & Analytics - Us
By Meytier Inc. At New Jersey, United States
Manage project scope on an ongoing basis using documented change management techniques.
Maintain and encourage open lines of communication between Management, Stakeholders, and Team.
Manage, motivate, and lead the project team.
Engage the team on an ongoing basis to identify project issues, project risks, action plans, and implications and manage those activities.
Actively manage multiple projects that may be in different phases of development.
Minimum of 10 to 12 years of relevant work experience in a professional software development environment.

Are you looking for an exciting opportunity to use your data analytics skills to make an impact? We are looking for a Data Analytics expert to join our team and help us uncover insights from our data to drive business decisions. If you have a passion for data and a desire to make a difference, this could be the perfect job for you!

Overview of Data Analytics:

Data Analytics is the process of analyzing large amounts of data to uncover patterns, trends, and insights that can be used to make better decisions. Data Analytics professionals use a variety of techniques and tools to analyze data and develop actionable insights.

Detailed Job Description of Data Analytics:

Data Analytics professionals are responsible for collecting, organizing, and analyzing large amounts of data to uncover patterns, trends, and insights. They use a variety of techniques and tools to analyze data and develop actionable insights. They must be able to interpret data, identify trends, and develop strategies to improve business performance. They must also be able to communicate their findings to stakeholders in a clear and concise manner.

What is Data Analytics Job Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Ability to interpret data and develop actionable insights
• Ability to communicate complex information in a clear and concise manner
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of programming languages

What is Data Analytics Job Qualifications?

• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• Experience with data analysis techniques and tools
• Experience with database management systems
• Experience with statistical software
• Experience with programming languages

What is Data Analytics Job Knowledge?

• Knowledge of data analysis techniques and tools
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of programming languages

What is Data Analytics Job Experience?

• Experience with data analysis techniques and tools
• Experience with database management systems
• Experience with statistical software
• Experience with programming languages

What is Data Analytics Job Responsibilities?

• Collect, organize, and analyze large amounts of data
• Identify patterns, trends, and insights from data
• Develop strategies to improve business performance
• Interpret data and develop actionable insights
• Communicate findings to stakeholders in a clear and concise manner