Analytics Development Engineer Student

Job Description

We are seeking a highly motivated Entry-Level Data Analytics Developer to join our dynamic team. This position offers an excellent opportunity for individuals passionate about data analysis and eager to embark on a career in the field of data analytics. The ideal candidate will have a basic understanding of data modelling and data visualization coupled with strong communication skills in English.

Main responsibilities:

1. Data Extraction and Transformation: Collaborate with the data team to extract and transform data from various sources using SQL queries.
2. Data Visualization: Utilize Tableau CRM(CRM Analytics) or Power BI to create interactive and visually appealing dashboards and reports for stakeholders.
3. Data Analysis: Assist in analyzing data to identify trends, patterns, and insights that drive business decisions.
4. Quality Assurance: Ensure data accuracy and integrity by conducting thorough validation and quality checks.
5. Documentation: Document data analysis processes, methodologies, and findings for future reference.
6. Collaboration: Work closely with cross-functional teams to understand business requirements and deliver actionable insights.

The ideal candidate will have the following behavioral traits:

• Problem solving and critical thinking.

• Strong analytical and problem-solving skills with attention to detail.

• Ability to work effectively in a team environment and collaborate with colleagues from diverse backgrounds.

• Eagerness to learn and adapt to new technologies and tools in the field of data analytics.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum qualifications:
Advanced Student of bachelor's degree or master's degree in computer science, Information Technology, or a related field.

3+ months of academic work experience in the following:
Basic knowledge of SQL for data querying and manipulation.
Familiarity with Tableau (CRM Analytics) or Power BI for data visualization and reporting.
Excellent communication skills in English, both verbal and written.

Preferred Qualifications:
Prior internship or coursework experience in data analytics, business intelligence, or a related field.
Understanding of data warehousing concepts and methodologies.
Experience with additional data analytics tools such as Python, R, or Tableau.
Problem solving and critical thinking.
Proficient in Microsoft Azure Data Factory, Databricks, Snowflake, GIT and/or Microsoft Business Intelligence: SSAS

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

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. In certain circumstances the work model may change to accommodate business needs.