Job Description

Global Employee Services (GES) is a global contact center operation responsible for providing solutions to any inquiries about Intel Human Resources (HR) products and services related to payroll, benefits, focal, performance management, medical and religious accommodations, executive services, and escalation support for Intel’s 100,000+ employees and dependents around the globe.  

We are searching for a meticulous and experienced Data Analyst to join our team. The HR Data Analyst’s scope includes collecting and analyzing HR data, spotting trends and anomalies, developing and implementing data-driven insights and forecasts for HR initiatives, improving HR strategies, reporting on key performance indicators, and assisting management in making data-driven decisions.

Responsibilities:

Collect and analyze HR data and metrics to identify important trends and provide predictive analytics.Prepare detailed reports and presentations for management.Conduct statistical analyses to understand relationships between various HR activities and organizational outcomesIdentify trends, patterns, and inconsistencies in HR dataCollaborate with management teams to understand data needs and provide solutionsDesign, develop, and maintain HR reports and dashboards to track key HR metrics using data visualization tools.Assist with implementing and maintaining HR information systemsEnsure compliance with data protection guidelines and confidentiality requirements.
Qualifications

Qualifications:

An ideal candidate should be able to demonstrate proven experience as an HR data analyst or similar role and be skilled in statistical analysis, HR systems, and database management. The candidate should be able to analyze and present complex data in a simple and comprehensible way and have excellent analytical and problem-solving abilities.

A demonstrable combination of some the following skills is preferred:

1. Data Analysis Skills

Statistical Analysis: Understanding of key statistical methods (mean, median, mode, standard deviation, variance, correlation).Data Cleaning & Transformation: Ability to clean, format, and preprocess data using tools like Excel, SQL, or Python.Data Modeling: Familiarity with creating and analyzing data models (relational models, entity relationship (ER) diagrams).Descriptive Analytics: Using data to describe trends and patterns (e.g., trend analysis, forecasting).Predictive Analytics: Leveraging historical data to predict future outcomes (e.g., regression, classification, clustering).Correlation and Regression Analysis: Understanding relationships between variables and applying linear/non-linear regression models.

2. Data Management & Querying

SQL: Writing basic SQL queries to retrieve, join, and manipulate data from databases.Database Management: Familiarity with relational databases (e.g., SQL Server, MySQL) and basic knowledge of NoSQL databases.Data Warehousing: Understanding how to extract data from data warehouses, and familiarity with Extract, Transform, and Load (ETL) processes.

3. Data Visualization & Reporting Tools

Microsoft Excel (Advanced): Proficiency with pivot tables, VLOOKUP, complex formulas, and macros.Visualization Tools: Intermediate proficiency with tools like Power BI, Tableau, or Google Data Studio to create dashboards and reports.Charting Techniques: Using appropriate chart types to represent data (e.g., histograms, bar charts, scatter plots).Reporting Automation: Automating reports using tools like Power Query or VBA for Excel or RDAs with UiPath.

4. Technical Proficiency

Python/R for Data Analysis: Using Python or R for intermediate data analysis tasks.Business Intelligence (BI): Understanding of BI tools to gather, analyze, and visualize business information.Advanced Excel Functions: Use of INDEX/MATCH, data tables, array formulas, and solver add-ins.Data Mining: Discovering patterns and insights from large datasets (e.g., clustering, classification).

5. Analytical & Problem-Solving Skills

Gap Analysis: Identifying discrepancies between current and desired performance.Root Cause Analysis: Investigating the underlying causes of data issues or business problems.Cost-Benefit Analysis: Using data to weigh the benefits of various business decisions.SWOT Analysis: Evaluating strengths, weaknesses, opportunities, and threats in data and business contexts.

6. Soft Skills Related to Reporting

Data Storytelling: Ability to communicate insights clearly and effectively to both technical and non-technical stakeholders.Presentation Skills: Proficiency with creating presentations in PowerPoint.Stakeholder Management: Collaborating with different teams to understand their data needs and present findings clearly.7. Reporting Standards & Best PracticesData Integrity: Ensuring accuracy and consistency in data reporting.KPI Definition: Experience with setting up and tracking key performance indicators (KPIs) for business reporting.Ad-hoc Reporting: Ability to quickly produce reports based on specific business questions or problems.

What we offer:
At Intel, we offer a collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best. There's no fear of failure - we know that's how innovation happens, and you'll never be bored.
We offer competitive benefits and pay, opportunities for professional development and the flexibility you need to achieve balance. Intel fosters a collaborative environment allowing the brightest minds in the world to come together to achieve exceptional results.

Competitive pay and Benefits:
Including stock programs, Quarterly Bonuses, Employee Pension Plan, Medical plan and life insurance, Peer to peer recognition, Lunch card, Multisport Card/Holiday card, Groups of enthusiasts, Exclusive employee discounts, (online) events and many more.

Opportunities for professional development and growth:
You will work in an international environment within a group of the best professionals in the world, working with the newest technologies. You'll have a chance to take part in advanced development programs, conferences and have free access to a wide library of classroom and online courses, covering both soft and technical skills.

Life and Community:
We offer opportunities for employees to refresh and recharge- flexible working time, benefits and services that support your wellbeing, and the chance to participate in Intel's Great Place to Work program which gathers people who love running, cycling, squash, tennis, cross fit, photography, and many more.

We guarantee you will be working in a safe environment, in an organization which profoundly understands the current health situation worldwide. At both our offices and in your home, the security and wellbeing of you and your family is our utmost responsibility.

Materials important for you - to learn more about Intel.
Learn more about Intel in Poland: https://intel.ly/3eq8QlY

Inside this Business Group
Intel's Human Resources group is responsible for hiring, developing and retaining the best and brightest employees while continuing to strengthen the company's culture and values. Intel Human Resources provides first-rate, cost-effective services and support to employees worldwide and is dedicated to advancing Intel's business goals.


Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.


Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.