Statistical Techniques – Who Needs Engineers
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Software Engineering RecruitmentWed, 09 Oct 2024 09:10:02 +0000en-US
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1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngStatistical Techniques – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Data Scientist
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-scientist-29/
Wed, 09 Oct 2024 09:10:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-29/Data Scientist
Job Description:
We are seeking a highly motivated and skilled Data Scientist to join our thriving analytics team. In this role, you will play a crucial part in driving strategic initiatives and enhancing business performance through the design, development, and implementation of innovative analytical and modeling products. You will collaborate closely with a diverse group of professionals, including data scientists, engineers, QA analysts, and business leaders, to create and deliver comprehensive analytical solutions. This position offers an exciting opportunity to leverage your technical expertise in data science tools, AI, and cloud technologies while fostering the growth and development of your team. Your role will not only involve technical tasks but also necessitate strong communication skills and a strategic mindset to solve complex problems effectively.
IT Languages:
Python
SQL
As a Data Scientist, you will be responsible for developing and enhancing data products while collaborating with various teams to ensure effective implementation.:
Manage the complexity of data and multiple coding platforms to create high-quality data products;; Educate leadership on data-driven decision-making through effective communication of insights;; Work with Data Engineers and QA Analysts to refine data pipelines and processes;; Design interactive dashboards and automated reports using Hex to facilitate data-driven insights;; Conduct exploratory data analysis using Python notebooks to assist the analytics team with ad-hoc inquiries;; Identify and implement opportunities to expand internal data capabilities and knowledge;; Adhere to best practices in project and model documentation, as well as version control
Spoken Languages:
English
Skillset:
Data visualization
Machine learning algorithms
Statistical techniques
Cloud technologies
Python programming
Soft Skills:
Strong problem-solving abilities
Attention to detail
Effective communication skills
Strategic thinking
Collaboration and teamwork
Qualifications:
Bachelor’s degree in Mathematics, Computer Science, Information Management, Statistics, or a related technical field
Master’s degree in a relevant field is a plus
Intermediate proficiency in Python, with a strong focus on data analysis and visualization using libraries like Pandas and Plotly
Strong SQL skills with experience in data modeling
Familiarity with cloud technologies, preferably AWS
Knowledge of AI concepts, including natural language processing and ethical considerations
Experience with statistical techniques and machine learning algorithms
Years of Experience:
2
Location:
Rosemont, IL, United States
Job Benefits:
Health insurance
Retirement plan
Paid time off
Professional development opportunities
Flexible work schedule
Working Conditions:
Hybrid
Employment Type:
Full-time
Company Culture:
We foster a collaborative and innovative environment where team members are encouraged to share ideas and contribute to projects. Our culture emphasizes continuous learning and personal development, ensuring that employees have the resources and support they need to grow professionally.
Opportunities For Advancement:
Access to training programs, Mentorship opportunities, Career progression within the analytics department
Visa Sponsorship:
Not Available
]]>Data Analyst
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-analyst-61/
Mon, 07 Oct 2024 21:50:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-analyst-61/Data Analyst
Job Description:
We are looking for an accomplished Data Analyst to join our dynamic team. The right candidate will possess a strong foundation in data analysis, business intelligence, and project management. You will collaborate closely with diverse teams to dissect intricate business challenges, formulate technical requirements, and craft data analytic solutions that yield actionable insights. Your role will involve engaging with business clients to comprehend their analytical needs and translating these into effective reports and analysis. You will be responsible for identifying and gathering data from various internal and external sources, employing statistical and visualization techniques to interpret both structured and unstructured datasets. Your expertise in SQL, Python, and business intelligence tools such as Qlik will enable you to create impactful dashboards and visualizations. Additionally, you will document dashboard processes and develop training materials to assist users in leveraging these tools effectively. Your ability to lead projects and foster stakeholder relationships will be crucial to your success in this role.
IT Languages:
SQL
Python
Qlik
Spotfire
Tableau
Power BI
The selected candidate will be engaged in various key responsibilities, ensuring effective data analysis and reporting.:
Consult with business customers to gather and understand their analytical requirements;; Develop technical specifications for reports and analysis based on client needs;; Identify and collect relevant data from both internal and external sources;; Utilize statistical methods and visualization techniques to analyze data comprehensively;; Create and maintain dashboards using SQL, Python, and business intelligence tools;; Produce documentation for dashboards and prepare training resources for users;; Oversee project management and maintain effective stakeholder relationships
Spoken Languages:
English;; Irish
Skillset:
Data analysis
Business intelligence
Statistical techniques
Data visualization
Dashboard creation
Soft Skills:
Strong communication skills
Effective project management abilities
Excellent stakeholder engagement
Analytical thinking
Logical reasoning
Ability to work independently and collaboratively
Qualifications:
Bachelor’s or Master’s degree in Engineering, Computer Science, Finance, Mathematics, Statistics, or a related field
4 or more years of relevant experience in data analytics and enterprise systems
Years of Experience:
4
Location:
Ireland
Job Benefits:
Comprehensive health insurance
Retirement savings plan
Performance bonus
Stock options
Flexible working hours
Opportunities for remote work
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a diverse and inclusive work environment that values collaboration, innovation, and personal growth. Our culture promotes teamwork and encourages employees to bring their unique perspectives to the table. We believe in supporting our employees' career development and providing opportunities for advancement.
Opportunities For Advancement:
Potential for career growth within the analytics team, Opportunities to lead projects, Possibility to mentor junior analysts
Visa Sponsorship:
Available
]]>Data Analyst
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-analyst-59/
Mon, 07 Oct 2024 20:30:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-analyst-59/Data Analyst
Job Description:
As a key member of the Worldwide Innovative Product Development team, you will play a crucial role in transforming complex data into strategic insights that inform our portfolio decisions and resource allocation. Your expertise will support product life cycle excellence by collaborating with various stakeholders across different functional areas. By analyzing vast amounts of PM and SKU data, you will provide actionable insights that empower teams to make informed decisions, thereby driving the success of our medical technology products. Your strong analytical skills and experience with large datasets will be essential in identifying trends and patterns that can enhance revenue and optimize costs. You will be responsible for communicating your findings effectively to senior management and other stakeholders, ensuring that your insights are clear and impactful.
IT Languages:
PowerBI
SQL
Python
R
You will be tasked with a variety of responsibilities that include data collection, cleaning, validation, and analysis.:
Collect, clean, validate, and interpret complex quantitative datasets using advanced statistical techniques;; Create dynamic dashboards and visualizations to effectively communicate critical information;; Present analytical findings and strategic recommendations to senior management and stakeholders;; Work collaboratively with cross-functional teams including Project Management, Sales, Marketing, Product Development, and Finance;; Identify portfolio management trends that can lead to increased revenue and cost savings;; Conduct ad hoc analyses to support business needs;; Stay updated on industry best practices related to data analysis techniques
Spoken Languages:
English
Skillset:
Data Analysis
Statistical Techniques
Dashboard Development
Data Visualization
Soft Skills:
Excellent communication skills
Strong attention to detail
Ability to work independently and as part of a team
Problem-solving skills
Adaptability
Qualifications:
Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, or Engineering
Master’s degree preferred but not required
Years of Experience:
5
Location:
Limerick, County Limerick, Ireland
Job Benefits:
Competitive salary
Opportunities for professional development
Inclusive and growth-centered work environment
Health and wellness programs
Work-life balance initiatives
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
Fostering an inclusive, collaborative culture that emphasizes growth and development, where individuals are encouraged to innovate and contribute to meaningful solutions in health care.
Opportunities For Advancement:
Career development programs, Mentorship opportunities, Leadership training