Senior Business Analyst - Data Analytics

October 15

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VoIP business phone service • hosted VoIP • Small business phone systems • web conferencing • virtual contact center

1001 - 5000

Description

• Partner with non-technical teams within the finance organization to identify critical analytical problems and find innovative solutions with data • Develop end-to-end reporting process to empower stakeholders with dashboards and tools • Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies • Support 8x8’s Finance organization with reporting, dashboards, metrics, KPIs • Own data pipeline, data architecture, reporting, and KPI automation • Conduct statistical analysis, modeling, and metric development to discover insights for better decision-making • Deliver monthly/quarterly quantitative and qualitative analysis of the business' financial results including variances to plan, ensuring key issues, risks, and business drivers are understood and highlighted • Meet deliverables and requests from business partners, corporate FP&A, accounting, and other cross-functional teams • Fulfill ad-hoc and regular requests to drive high corporate performance and to assist with executive decision-making • Develop a deep understanding of the finance organization landscape and partner with finance leaders to align business and financial goals • Provide business consulting projects that involve strategy development, organizational restructuring, and management improvement to maximize efficiencies. • Work with senior management of companies to determine long-term data strategies by analyzing our business process and data pipeline with recommendations for changes and improvements • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors • Comfortable in business and technical discussions

Requirements

• A background in statistics, math, data science, finance or a similar quantitative field with strong analytical skills • 4+ years of relevant experience in data analytics and business intelligence • Excellent at translating raw data sources into analytics-ready data set to serve business needs • Expertise in SQL programming skills and proficiency with designing ETL flows • Expertise in Excel, Tableau, Looker, PowerBI, Salesforce.com reporting • Experience with Cloud-based DW such as Redshift, Snowflake, etc. • Experience writing data transformations/logic via Python • Well-rounded, strong communicator, analytical and creative problem solver with the ability to work in a fast-paced, cross-functional matrix organization with competing priorities • Experienced with developing data tools, memos, and presentations to deliver key data insights to stakeholders • Self-starter work ethic