Data Analyst

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• Small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

• Robust and resilient (100% independent and 0 debt)

• Entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

• Positive, courageous, caring, doers and committed to excellence

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• 95% of the product — code, documentation, infrastructure, even design — is generated with GitHub Copilot

• Quality consistently exceeds the output of our best traditional engineering teams

• A product repository provides AI full context, enhancing quality generation

• Libraries of prompts, standards and rules ensure scalable, secure, enterprise-grade outputs

With Gen-e2, we deliver end-to-end digital products 2–3× faster, with superior quality and innovation.

As a Data Analyst / Data Steward, you will play a dual role: ensuring the availability of high-quality, trustworthy data for business decision-making, while also enforcing data governance and stewardship best practices across departments.You'll work hand-in-hand with business stakeholders  to run data validation tests, ensure alignment between technical and business teams, and deliver impactful analytics solutions.

• Partner with business units to gather data requirements, translate them into models, and deliver actionable dashboards and reports.

• Run data validation and user acceptance tests directly with business stakeholders to ensure accuracy and usability.

• Perform data quality assessments, anomaly detection, cleansing, and enrichment processes.

• Maintain data dictionaries, metadata repositories, and business glossaries.

• Define and enforce data standards, lineage, ownership, and integrity constraints.

• Collaborate with engineers, architects, and other stewards to build and monitor data governance frameworks.

• Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal data policies.

• Identify opportunities for automation in data quality control and governance.

• Present insights in a clear, concise and impactful manner — both to technical and non-technical audiences.

• Support impact analysis, data lineage tracing, and root cause investigations when needed.

• 3+ years of experience in Data Analysis, BI, or Data Stewardship roles.

• Strong SQL and Python skills (Pandas, NumPy).

• Proficient in BI tools such as Power BI, Tableau, Looker or similar.

• Experience with data governance tools like Collibra, Alation, Talend DQ, or Informatica is a strong plus.

• Solid understanding of ETL/ELT, data modeling, and analytics pipelines.

• Knowledge of data privacy, lifecycle management, and data security principles.

• Comfortable working with large datasets and translating raw data into clear business insights.

• Strong communication and stakeholder management skills.

We're eager to adapt to change, learn from our experiences and move to meet our planet's urgent needs. We are continuously taking action to:

• Become a climate net-zero company

• Deliver projects with a positive impact

• Train 100% of our workforce on impact

• Achieve B Corp certification across all offices

• Continuously measure & improve employee happiness

Our clients are amongst the world's most impactful companies. We innovate with both established Fortune 1000s and fast-growing startups looking to transform industries for good.

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects

• Knowledge sharing

• Personalized training

• Entrepreneurship & intrapreneurship

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