17 hours ago

Data Analyst/Data Scientist

Agilent Technologies

Hybrid
Full Time
$105,500
Hybrid

Job Overview

Job TitleData Analyst/Data Scientist
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$105,500
LocationHybrid

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

About Agilent Technologies

At Agilent, we are committed to advancing the quality of life by delivering trusted answers and insights that empower our customers to make impactful decisions. Join us at the forefront of data literacy, where your analytical skills will shape the future of business intelligence and customer focus!

The Role: Data Analyst/Data Scientist

We are seeking an experienced Data Analyst/Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, business intelligence, and project management. You will work closely with cross-functional teams to understand complex business problems, develop technical requirements, and create data analytic solutions that provide actionable insights.

Key Responsibilities

  • Consult with business customers and understand their analytical needs.
  • Develop technical requirements for reports and analysis.
  • Identify and capture data from internal and external sources.
  • Apply statistical and visualization techniques to analyze structured and unstructured datasets.
  • Use SQL, Python, and business intelligence tools (Qlik) to create dashboards and visualizations.
  • Create dashboard documentation and training materials.
  • Manage projects and stakeholder relationships effectively.

Qualifications

  • Bachelor’s or Master’s degree in Engineering, Computer Science, Finance, Mathematics, Statistics, or equivalent.
  • Minimum of 4+ years of relevant experience in data analytics and Enterprise systems (SAP, CRM, HANA…).
  • Proficiency in SQL, Python, and business intelligence tools (e.g., Qlik, Spotfire, Tableau, Power BI).
  • Understanding of marketing, sales, and services business.
  • Strong communication, project, and stakeholder management skills.
  • Strong analytical and logical skills.
  • Ability to work independently and as part of a global team.

What We Offer

(Depending on the country you are based in):

  • An independent job in collaboration with good colleagues, in a growth-orientated organization.
  • A true commitment to work/life balance.
  • An opportunity to learn and grow.
  • Agilent Result Bonus, Stock Purchase Plan, Life Insurance, Pension, Healthcare, Employee Assistance Program, Holiday, Company activities.

Additional Details

  • This job has a full time weekly schedule.
  • It includes the option to work remotely.
  • Travel Required: Occasional
  • Shift: Day
  • Duration: No End Date
  • Job Function: Administration

Key skills/competency

  • Data Analysis
  • Business Intelligence
  • Project Management
  • Statistical Analysis
  • Data Visualization
  • SQL
  • Python
  • Qlik
  • Stakeholder Management
  • Enterprise Systems

Tags:

Data Analyst
Data Scientist
Data Analysis
Business Intelligence
Project Management
Statistical Analysis
Data Visualization
SQL
Python
Qlik
SAP
CRM
HANA
Spotfire
Tableau
Power BI
Stakeholder Management
Technical Requirements
Insights
Dashboard Creation

Share Job:

How to Get Hired at Agilent Technologies

  • Research Agilent Technologies's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in data analysis, SQL, Python, and BI tools, matching keywords from the Data Analyst/Data Scientist job description.
  • Showcase project management skills: Prepare examples demonstrating your ability to manage projects, stakeholders, and develop technical requirements for data solutions.
  • Master technical skills: Be ready to discuss your proficiency in SQL, Python, and specific BI platforms like Qlik, Tableau, or Power BI with practical examples.
  • Prepare for behavioral questions: Reflect on experiences where you solved complex business problems with data, collaborated globally, or managed stakeholder expectations.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background