Senior Data Analyst – Analytics and Automation

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Welo Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.

📋 Description

• Partner with FP&A leadership to understand and fundamentally improve reporting, analytical, and planning processes • Reverse-engineer complex Excel workbooks and manual processes, including data sources, business logic, calculations, and user needs • Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools • Resolve data quality, mapping, reconciliation, and grain issues across large, imperfect, multi-system datasets • Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers • Design dashboards and reporting experiences around business decisions • Build AI-assisted interactive HTML reporting tools that refresh efficiently without repeated AI calls • Develop driver-based analysis, exception reporting, and monitoring approaches • Explore and build AI-assisted and agentic workflows involving LLMs, data, tools, APIs, and reporting processes • Partner with Data Analytics and Data Engineering teams on shared infrastructure, standards, data pipelines, and data marts • Contribute leadership, mentor by example, and help establish analytical rigor • Translate complex analytical findings into actionable insights for Finance leaders and business stakeholders • Help build and shape the FP&A AI repository, including documentation, conventions, and reliable workflows for AI assistants • Report directly to the FP&A Director and work closely with central Data Analytics and Data Engineering teams

🎯 Requirements

• 5-10 years of relevant experience required • Strong SQL skills, including joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas • Practical proficiency in Python for data transformation, analysis, and automation • Strong ETL/ELT fluency, including defining data requirements, validating output, and partnering with Data Engineering • End-to-end report and dashboard building experience using Power BI, Tableau, Looker, or standalone interactive HTML/web-based reports • Demonstrated experience automating manual, recurring data or reporting workflows • Comfort learning and adopting new AI-assisted tools and workflows • Advanced Excel skills, including deconstructing sophisticated, undocumented legacy workbooks • Ability to explore data and form and test hypotheses to determine why something happened • Fluent English, spoken and written • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable • Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function preferred • Familiarity with revenue, margin, profitability, forecasting, and variance analysis preferred • Experience modernizing legacy Excel-based reporting or analytical processes preferred • Experience working with data distributed across multiple systems preferred • Experience working effectively in a fully remote, distributed team environment preferred • Exposure to AI/agentic tooling or applying AI to business processes preferred • Machine learning, statistical modeling, or formal data science experience welcome but not required

🏖️ Benefits

• Fully remote work arrangement • Opportunity to work with a global organization and distributed teams • Leadership and mentoring opportunities without formal management responsibility