Delivery Operations Analyst

Job Description

As a Delivery Operations Analyst, you will be part of the team that sits at the core of this group and supports the building, automation, and continuous improvement of operational and workforce management reporting, tools, and processes.

Your role will be cross‑functional and exposed to various areas of the business including the Client Organisation, Commercial Finance, and Top Management. You will work across business units, supporting company‑wide recurring analytical exercises and you will collaborate with Delivery Operations leadership and partner functions, to enhance data accuracy, reporting maturity, and analytical capability across the organization.

You contribute to strategic and operational projects by owning a set of activities within workstreams. You develop Python automations for data extraction, transformation, and analysis, enabling faster and higher‑quality decision support and you contribute to the data engineering components of AI RAG Application development projects.

Together, you are accountable for reaching the assigned KPI targets, as well as for the ways on how to reach them, providing operational support to improve, enhance, automate and streamline the core activities managed by the Team.

Key Responsibilities

• Coordinate recurring analytical exercises such as the 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

Qualifications

• 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. For local documentation (NIF, NISS), please consult Portuguese authorities.

Benefits and perks

• 25 vacation days
• Enjoy 2 additional volunteering days to support your passion project
• Mental Health: Benefit from 3 extra wellness days on top of your vacation days and a Mental Health First Aider and Employee Assistance program to support your well‑being
• Health insurance (also possible for family members)
• Cutting Edge Technology & Latest IT tools
• Software‑house environment
• Agile and Flexible working hours
• Hybrid work system (remote friendly)
• Digital nomad policy
• Focus on career development
• Full access to Dentsu Academy, our global online learning platform
• Beers, foosball, and ping‑pong! #workhardplayhard
• Free breakfast every second Tuesday of the month
• Employee discounts
• Team & Company events
• Referral bonus program

Equal Opportunity and Diversity, Equity, and Inclusion

We cherish the unique talents and perspectives of all individuals, welcoming applicants regardless of gender, gender identity, nationality, religion, ethnicity, cultural background, sexual orientation, age, physical or mental ability. By embracing diverse perspectives, we create meaningful change and sustainable growth for our people, clients, and society. Our hiring decisions are guided by qualifications and role‑specific requirements, ensuring a workplace free from discrimination and harassment.

Location

Lisbon

Brand

Merkle

Time Type

Full time

Contract Type

Permanent