Senior Data Analyst – Analytics and Automation
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Job Description
Senior Data Analyst modernizing FP&A reporting, data pipelines, and AI automation for Welo Global’s multilingual AI and content solutions. Building investigative analytics and self-refreshing reporting tools.
Responsibilities:
- 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
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