AdTechTalent
Data Science9 days agoHybrid

Merkle

Delivery Operations Analyst

ExcelPower BIPythondata extractiondata transformationautomationdata analysisfinancial forecastingdata pipelinesdata qualityreportinganalyticsAIRAGhybriddigital nomadcareer development

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Lisbon, Portugal

Full job description

Coordinate financial forecasting and analytical exercises for business units. Deliver on workstreams within strategic and operational projects. Support budgeting and workforce planning. Build and maintain Excel and Power BI reporting and forecasting models. Automate data extraction, processing, and analysis using Python. Support data engineering for AI RAG initiatives including data preparation and pipeline reliability. Monitor and report on system data quality and drive issue remediation. Support ad-hoc requests and cross-team projects. Requirements: Degree in Computer Science, IT, or Business Administration. Minimum 2 years relevant experience in IT, Administration, Finance, or Accounting. Exposure to data analytics preferred. Proficient in Excel (XLOOKUP, VLOOKUP, SUMIF), Power BI or willingness to learn, and Python for data tasks. Understanding of data pipelines and data quality. Strong analytical skills, task ownership, communication, and ability to coordinate stakeholders. Fluent English. Work visa sponsorship not available. Location: Lisbon, Portugal. Hybrid work with 1 day/week in office expected.

What you'll do

  • Coordinate recurring analytical exercises such as financial forecasting of business units
  • Own and deliver on a small area of workstreams within strategic and operational projects
  • Support budgeting and workforce planning processes
  • Build and maintain reporting & forecasting models (Excel)
  • Build and maintain Power BI reports and supporting data structures
  • Automate data extraction, processing, and analysis using Python
  • Support data engineering work for AI RAG initiatives, including data preparation and pipeline reliability
  • Monitor, validate, and report on system data quality and drive remediation of issues
  • Support ad-hoc Chief Delivery Officer requests and cross-team projects

Requirements

  • Degree in Computer Science, Information Technology, or Business Administration
  • 2+ years of relevant work experience (IT, Administration, Finance, Accounting)
  • Preferably some exposure to data analytics
  • Comfortable using Excel and building models that scale to Power BI Reports (knowledge of XLOOKUP, VLOOKUP, SUMIF, and similar)
  • Knowledge in Python for data extraction, transformation, automation, and analysis is strongly preferred
  • Experience working with BI Tools such as Power BI or willingness to learn
  • Understanding of data pipelines, structured data handling, and data quality concepts
  • Analytical ability with attention to accuracy and data integrity
  • Strong task ownership and reliability in delivering defined workstreams
  • Ability to interpret operational and financial metrics and build reporting around them
  • Structured communication and documentation skills
  • Comfortable coordinating cross-functional stakeholders and recurring planning cycles
  • Ability to work independently, manage time, and adapt to evolving priorities
  • Fluent in English
  • Work visa sponsorship is not available

Tech stack

ExcelPower BIPython

Benefits

25 vacation days2 additional volunteering days3 extra wellness days on top of vacation daysMental Health First Aider and Employee Assistance programHealth insurance (also possible for family members)Cutting Edge Technology & Latest IT toolsSoftware-house environmentAgile and Flexible working hoursHybrid working with expectation of 1 day per week / 4 days per month in officeDigital nomad policyFocus on career developmentFull access to Dentsu Academy global online learning platformBeers, foosball, and ping-pongFree breakfast every second Wednesday of the monthEmployee discountsTeam & Company eventsReferral bonus program

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