Data Operations Intern

Job Description

Job Title: Data Operations Intern/Analyst (Salesforce Focus)

About the Company: Mendix & Siemens

Mendix is a global leader in enterprise low-code app development, a visual approach to software development that Gartner predicts will be responsible for over 65% of application development activity by 2024. Mendix’s platform promotes collaboration between business and IT teams, enabling organizations like Ford Auto, Zurich Insurance, Freshfields, and Red Bull to rapidly unleash their best ideas. Mendix is consistently ranked a Leader in analyst reports from Gartner and Forrester, placing at the very top of the Leaders quadrant in the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms.

Mendix is a Siemens Business, a Top 10 Global Software Company and a leader on Fast Company’s Most Innovative Companies in the World. Acquired by Siemens in 2018, Mendix benefits from Siemens’ unbeatable legacy and resources, operating within a hyper-growth environment while driving digital transformation for Siemens Digital Industries Software.

Role Overview:

This role involves critical support for data hygiene and integration efforts, primarily focusing on Salesforce data. The successful candidate will play a key part in maintaining the integrity and accuracy of essential business data, working cross-functionally with various teams.

Key Responsibilities:

• Perform data cleanup and deduplication tasks, primarily within the Account and Opportunity objects in Salesforce.
• Utilize Microsoft Excel extensively to manipulate, analyze, and reconcile data from Salesforce instances.
• Identify and document data discrepancies, inconsistencies, and gaps.
• Assist with organizing and maintaining project tracking sheets and status logs.
• Support other ad hoc tasks related to the Salesforce integration and ongoing data hygiene efforts.
• Work cross-functionally with stakeholders from Operations, Sales, and Technology teams to ensure data quality and alignment.

Requirements:

• Current undergraduate student (rising junior or senior preferred) or a recent graduate.
• Strong proficiency in Microsoft Excel, including advanced functions such as VLOOKUP, filtering, conditional formatting, and pivot tables.
• Excellent attention to detail and accuracy in all tasks.
• A self-starter who can maintain focus and productivity on repetitive or task-heavy work.
• Demonstrated interest in business systems, data integrity, or CRM platforms (prior Salesforce experience is a plus but not required).
• Effective written and verbal communication skills for collaboration and documentation.

Preferred Qualifications:

• Prior experience with Salesforce or other CRM tools.
• Familiarity with data hygiene concepts (e.g., handling duplicates, data normalization, data validation).
• Possesses an analytical mindset and strong problem-solving abilities.

Equal Employment Opportunity Statement:

Siemens is an Equal Opportunity and Affirmative Action Employer, committed to fostering diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. For more information, please refer to the “EEO is the Law” and “Pay Transparency Non-Discrimination Provision” links. California residents can find additional information regarding their personal data via the “California Privacy Notice.”

AI Tools in Hiring:

We may utilize artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools are designed to assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. For more information on how your data is processed, please contact us.