Salesforce Data Analyst

Posted Yesterday
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Budapest, HUN
In-Office
Senior level
Information Technology
The Role
Build scalable data architectures, dashboards, ETL strategies, and AI-enabled analytical solutions using Salesforce data platforms. Analyze patterns, create forecasts and predictive models, and deliver actionable insights for business decision-making. Collaborate cross-functionally to align analytics solutions with business goals and architecture standards. The role requires experience with Salesforce data, Tableau or Power BI, statistics, Python, structured and unstructured data, predictive modeling, AI technologies, and Salesforce Service Cloud.
Summary Generated by Built In

What success looks like in this role:

Our Field Organization team is currently looking for a new team member to join us as a Salesforce Data Analyst. In this role, you will support data-driven decision-making by delivering insights and scalable analytical solutions for the business.


What you will be doing:

  • Build advanced data architectures and scalable dashboards that support business decision-making
  • Analyze data, identify patterns, and develop forecasting and predictive models
  • Work on data ingestion into AI-driven solutions and define end-to-end ETL strategies
  • Collaborate with cross-functional teams to ensure alignment with business goals and architectural standards
  • Leverage Salesforce data platforms to generate actionable insights and support operational efficiency

You will be successful in this role if you have:

What we are looking for:

  • Strong experience in data analytics, ideally with Salesforce data platforms (e.g. Data Cloud / Data 360, CRM Analytics / Tableau Next)
  • Minimum 4–5 years of industry experience in data analytics or a related field
  • Hands-on experience with visualization tools such as Tableau or Power BI
  • Solid understanding of statistics and basic knowledge of Python
  • Experience working with structured and unstructured data, including modern AI-driven approaches
  • Familiarity with concepts such as predictive modeling, forecasting, and emerging AI technologies (e.g. RAG, vector search)
  • Experience with Salesforce Service Cloud (Field Service Cloud is a plus)
  • A strong drive and willingness to explore and experiment new technologies .

What we offer

· Hybrid working model

· Monthly gross 44,200 HUF cafeteria, regardless of weekly working hours

· Home office allowance

· Private Health Insurance (Generali Premium Package) for all Unisys associates after 6 months

· And last but not least: a supportive, collaborative team with plenty of learning and development opportunities

#LI-TS1

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected] or alternatively Toll Free: 888-560-1782 (Prompt 4).  US job seekers can find more information about Unisys’  EEO commitment here.

Skills Required

  • Minimum 4-5 years of industry experience in data analytics or a related field
  • Strong experience in data analytics, ideally with Salesforce data platforms such as Data Cloud, Data 360, CRM Analytics, or Tableau Next
  • Hands-on experience with Tableau or Power BI
  • Solid understanding of statistics
  • Basic knowledge of Python
  • Experience working with structured and unstructured data, including modern AI-driven approaches
  • Familiarity with predictive modeling and forecasting
  • Familiarity with emerging AI technologies such as RAG and vector search
  • Experience with Salesforce Service Cloud
  • Experience with Field Service Cloud
  • Willingness to explore and experiment with new technologies

Unisys Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unisys and has not been reviewed or approved by Unisys.

  • Fair & Transparent Compensation — Fair & Transparent Compensation: Compensation terms at hire are often presented clearly and upfront, creating a straightforward “take it or leave it” expectation. Pay outcomes are also described as variable by role and geography, with some pockets viewed as satisfactory or above average.
  • Retirement Support — Retirement Support: A 401(k) plan with an employer match is commonly described as part of the core package. The match is often characterized as a meaningful component of total rewards relative to other benefits.
  • Healthcare Strength — Healthcare Strength: Core medical, dental, and vision coverage is described as available and broadly in line with a large IT-services employer. The underlying carrier network is sometimes viewed as solid even when cost concerns exist.

Unisys Insights

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The Company
HQ: Blue Bell, PA
22,588 Employees
Year Founded: 1986

What We Do

Unisys is a global information technology company that builds high-performance, security-centric solutions for the most demanding businesses and governments on Earth. Unisys offerings include security software and services; digital transformation and workplace services; industry applications and services; and innovative software operating environments for high-intensity enterprise computing. We build better outcomes securely for our clients across the Government, Financial Services and Commercial

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