Hiring.Camp

Data Analyst- Senior Associate

Referral Publicisgroupe

·

Jun 9, 2026

Location
Bucharest, RO · Iasi, RO · Cluj-Napoca, RO · Timisoara, RO · Brasov, RO · Sofia, BG
Type
Full-time
Seniority
Entry
Experience
20+ years
Closing date
Today
Source
iCIMS

Description

Company Description

Tremend is the newest global software engineering hub for Publicis Sapient. For over 20 years, the company has been infusing its advanced technical expertise into complex and innovative solutions that meet today's digital transformation needs and pave the way for a better and smarter future. By joining forces with Publicis Sapient we're accelerating the impact, providing a good mix of talented engineers, technology, continuous improvement, innovation, and R&D. Here, you'll have the opportunity to unleash your potential, powering up advanced software solutions for some of the world's most iconic brands. Embrace your passion for technology, creativity, and continuous improvement, and join us in making a difference through engineering.

Job Description

Tremend is looking for a skilled Data Analyst to join our team of bright thinkers and doers. You’ll use your problem-solving creativity to figure out our client’s most complex and challenging problems across different industries. You should be insightful, inquisitive, and naturally collaborative, with a strong desire to share ideas and opinions.

 

Responsibilities

  • Work with business stakeholders & functional teams, fulfilling their data needs and helping them to leverage analytics to improve their domains and act faster, and make better decisions
  • Assisting our clients in determining how to measure and analyze the effectiveness of their business
  • Consult clients to shape and define the role and success of analytics in their business
  • Design and develop reports/dashboards using various analytics and visualization tools
  • Continually optimizing existing reports/dashboards to improve performance benchmarking
  • Prepare and publish weekly, monthly, quarterly, and ad-hoc reports/dashboards
  • Engage with relevant stakeholders and provide analysis, reporting and presentations to effectively communicate on insights and KPIs
  • Identifies and resolves any data quality issues by conducting both routine and ad-hoc data cleaning and testing
  • Using various tools to identify, analyze, and interpret patterns and trends in complex data sets
  • Coaching and supporting key users to adopt the reporting tool.

Qualifications:

  • Demonstrated ability to work closely with business partners, understand requirements, and provide accurate findings of analysis
  • Strong working knowledge of data visualization tools such as Power BI (preferably), Tableau or Qlik
  • Ability to analyze large datasets
  • Great analytical skills, self-driven and an eye for detail and quality
  • Solid SQL, Power (M) Query, DAX, Data Visualization
  • Experience with one or multiple cloud data stores - Databricks / Fabric / Snowflake / GCP / AWS and DWH concepts
  • Good stakeholder management skills
  • Good team and business communication skills, including presentation and facilitation skills, and strong attention to detail; can walk through approach with technical clients or explain tricky concepts to non-technical audiences
  • Experience with agile methodologies and tools (e.g., Jira or similar).

Set yourself apart with:

  • R and/or Python experience
  • Google Analytics / Mipxanel / Amplitude / Adobe Analytics
  • A/B testing
  • Data Governance experience
  • Martech experience
  • Financial reporting

Additional Information

Besides an exciting job in a tremendous team, here's what you can expect:

  • A fast-paced tech environment
  • Continuous growth & learning
  • Open feedback culture
  • Room for own initiative & ideas
  • Transparency about results & strategy
  • Recognition & reward for hard work
  • Working with a flexible schedule 
  • Medical subscription
  • Meal tickets
  • Extra vacation days
  • Many other perks 

Skills

PythonAWSGCPSQLSnowflakeDatabricksJiraTableauPower BIGoogle Analytics

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