Financial Analyst

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TYPE OF WORK

Full Time

SALARY

$1,000/month

HOURS PER WEEK

TBD

DATE POSTED

Mar 29, 2020

JOB OVERVIEW

Overview and Responsibilities
We are looking for a Financial Analyst who will play a critical role in analyzing data and building financial models to identify key opportunities that drive strategic business initiatives. You will work to find solutions to complex business challenges to provide insight and recommendations to key stakeholders including Engineering, Product, Operations, Marketing, Ad Sales, Business Development, and Human Resources. The main focus of this role will be around technology business partnership.



Analyze business data to identify trends, draw conclusions, develop recommendations and help drive data-driven decision-making
Work with finance teams globally to ensure smooth financial operations and train teams on processes
Build complex financial and operational models to provide immediate and long-term financial insights and strategic plans
Collaborate with cross-functional teams to deeply understand business objectives and drive successful outcomes
Build management, executive, and investor level presentations
Basic Qualifications
Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics) or equivalent practical experience
2-4 years of experience in management consulting, investment banking or project management in a technology/media company
Strong understanding of the technology finance including internal labor capitalization and project management analytics (portfolio management)
High technical proficiency in Microsoft Office and Google Docs including building complex financial models
Desire to learn database querying (e.g. SQL) and 3rd party visualization tools (Periscope, Tableau, Looker)
Experience developing data-driven hypotheses and effectively communicating actionable insights to decision-makers
Ability to translate analysis results into business recommendations
Ability to work outside of your comfort zone and embrace the ambiguity of a high-growth startup environment

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