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Junior Data Analyst

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

   

Role Overview

We are seeking a detail-oriented and analytical Junior Data Analyst to support our data and reporting initiatives. This role will focus on collecting, analyzing, and interpreting data to help the business make informed decisions. The ideal candidate is curious, highly organized, and comfortable working with data sets to identify trends, patterns, and insights.

This is an excellent opportunity for someone early in their analytics career who is looking to develop strong data analysis, reporting, and visualization skills.

Key Responsibilities

• Collect, clean, and validate data from multiple internal and external sources

• Analyze datasets to identify trends, patterns, and insights that support business decisions

• Prepare regular reports, dashboards, and visualizations for stakeholders

• Assist in developing and maintaining automated reporting processes

• Support senior analysts and business teams with data requests and ad-hoc analysis

• Ensure accuracy and integrity of data used for reporting and analysis

• Collaborate with cross-functional teams to understand data needs and business objectives

• Document processes, methodologies, and data definitions

Required Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field

• 0–2 years of experience in data analysis, reporting, or business analytics (internships welcome)

• Strong analytical and problem-solving skills

• High attention to detail and data accuracy

• Ability to communicate insights clearly to non-technical stakeholders

Technical Skills

• Proficiency in Microsoft Excel (pivot tables, formulas, data analysis)

• Basic knowledge of SQL for querying databases

• Experience with data visualization tools such as Power BI, Tableau, or similar

• Basic understanding of data cleaning and data preparation techniques

• Familiarity with Python or R for data analysis is a plus

Preferred Skills

• Experience working with large datasets

• Understanding of business intelligence and reporting frameworks

• Knowledge of data modeling concepts

Key Competencies

• Analytical thinking

• Attention to detail

• Communication and presentation skills

• Curiosity and willingness to learn

• Time management and prioritization

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Business Growth, Business Planning, Coaching, Commercial Acumen, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Experience Strategy, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Personal Initiative {+ 7 more}

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#australia

#grads, #sales

Job:

Sales

Job Level:

Entry

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.