.time left to apply End Date: February 28, 2025 (30+ days left to apply)job requisition id R0006109Job Responsibilities:Overview:The Analytics Specialist is a key member of Welocalize's analytics team, responsible for using data to deliver high-quality, value-added insights that inform business decisions across the organization.
This role works both proactively and reactively to produce high-impact data analyses and actionable reporting, engaging closely with stakeholders at all levels of the organization to translate their requirements into technical specifications, and collaborating with our Data Engineering team as needed.
With a strong foundation in SQL, PowerBI, and familiarity with ETL processes, the Analytics Specialist leverages advanced technical data capabilities and a consultative, outcome-focused approach to deliver measurable business value to the company.Main Duties:Data Analysis and Reporting:Working individually or as part of a working group, contribute to and/or drive analytics initiatives to support business needs and drive measurable performance.
Work on both a proactive and reactive basis in support of all business functions, leveraging knowledge of the business, SQL and DAX to devise queries, measures and visualizations that address complex business questions and support decision making.Generate reports and dashboards in PowerBI as a key output of analytics activities, driven by stakeholder requirements and business priorities.
Deliver high-impact, sustainable, purpose-driven data products within Welocalize's certified reporting infrastructure, containing data visualizations that are clear, interactive, efficiently constructed, and effective in delivering insights.Stakeholder Engagement and Proactive Insights:Act as a consultative partner to internal stakeholders by engaging proactively to understand their data needs and translate business problems into analytical solutions.Deliver original insights based on data analysis that help improve business outcomes and support key performance indicators (KPIs) and objectives & key results (OKRs).Collaboration with Data Engineering and Technical Teams:Collaborate closely with the Data Engineering team to define & scope requirements for ETL pipelines and data flows, ensuring alignment with analytics & business needs.Support the validation and troubleshooting of ETL processes and data pipelines, working alongside Data Engineers to ensure data integrity and accessibility for reporting.While direct ETL development is not required, familiarity with the processes will be helpful in understanding data flows, incorporating new data assets into our Data Lake and Data Warehouse, and supporting the ongoing development of our data infrastructure