Business Intelligence Analyst

ALEXANDRA S. PETROVA

ORLANDO, FL (REMOTE)

352-***-**** ***.**.*****@*****.***

EXPERIENCE

Business Intelligence Analyst New York, NY

Outbrain MAR 2019 – JAN 2025

Partnered with the sales development team and acted as the BI lead throughout the full sales lifecycle, developing revenue models as part of the sales pitch, based on clients’ unique product mix and proposing strategies to drive revenue and protect the firm’s margin, resulting in 31 won new deals and 25 renewed partnerships, including Eurosport, Buzzfeed Japan, Fortune magazine, Slate, Immediate.co.uk, Dazn, Ansa Italy, CCM Benchmark, GEDI Group, Webedia Spain, News Corp AU, Le Parisien, LA Times, Drudge Report, Huffington Post, Newsweek Japan, Hello Magazine, Drudge Report, Penske Media, Digital Bloom, Newsweek, and more!

Led and developed model adjustments and optimizations, to improve prediction accuracy and support new product customization capabilities in forecasting performance of publishers globally

Partnered with data scientists in research and development and training of a machine learning model that would forecast publisher performance based on a set of most significant factors and similarities with other publishers in the network and ultimately reach a Mean error rate of 18%; Drew from my expertise in modeling and advised on business factors which impact performance; played a key role in developing the necessary data sets to train the model

Was the primary consulting analyst supporting the client reporting and initial performance tracking around the rollout of Outbrain’s Keystone, a product designed to unlock additional monetization channels (to support Publishers’ revenue diversification goals), such as sponsored partner content, eCommerce, publisher’s own offerings (subscriptions, premium content access), as well as user engagement vehicles (sign ups, newsletters, whitepapers, etc); and allow Publishers to optimize content based on goals prioritized by the Publisher whether it’s to drive traffic, conversions / sales, or engagement.

Researched, promoted, and prioritized product adoption opportunities for account managers to propose to their clients, such as adding feed experiences (that the publisher has not yet activated) and enabling AI-optimized feed length; Demonstrated potential revenue impact from adding experiences and removing blockers, such as blocks on content

Created a map view that shows Outbrain's geographical footprint and measures demand from all countries, with important indicators to gauge demand such as fill rate, AVG advertiser bid rate and price, audience size / new audience reach, languages demand, number of Outbrain demand partners, types of Supply partnerships (programmatic / SSPs, direct Outbrain network, OEM / mobile), total request volume, etc). Country managers could then use the map to identify countries where we have sufficient demand and projected revenue, set price floor for Advertisers per geo, and ramp up onboarding in those markets.

Developed a profiling tool of all Publishers that would fetch and consolidate strategic intel on each publisher, such as top audience markets, measures of user engagement, session metrics, fill rate, demand in different languages, top advertiser types, market share of won ads, ability to convert, international ads vs. local, membership in whitelists targeted by top brands, product adoption tracking, top published content categories, top ad categories, propensity to block content or be blocked by advertisers, user reach, etc.

Was an active contributor to the research on quarterly trends for the management’s quarterly business reviews (QBR) and supported the Chief Finance Officer on revenue reporting for the quarterly earnings reporting

Developed a playbook for Account Managers to be able to diagnose and explain changes in RPM (main KPI of a Publisher’s ability to effectively generate revenue from 1,000 impressions); devised a guide for pinpointing factors, such as shifting audience behaviors or changes in general traffic impacting the network as a whole versus idiosyncratic factors specific to the client, changes in demand mix/marketer spend, changes in reader environment (user devices used for consuming content, viewability issues, integration issues with specific widgets / ad products), etc. Counterparty Risk Analyst New York, NY

JPMorgan Chase & Co. Asset and Wealth Management NOV 2016 – MAR 2019

Assessed credit exposures to counterparties across Asset and Wealth Management portfolio for reporting to senior management, including AM CEO & CRO and AWM CEO, at the AWM Committee; briefed the global head of Counterparty Risk Group on changes to trading activities and broker utilizations, and the underlying exposure drivers.

Monitored counterparty exposures and trends on an ongoing basis; researched credit threshold breaches and investigated drivers of uptrend in exposures, such as counterparty concentrations, investment strategies, volume changes, and market factors through attribution and variance analyses.

Reviewed counterparty risk concentrations in the context of a portfolio, translating counterparty exposures into specific investment activities and strategies generating exposure at default (EAD), single counterparty concentrations, formulating a proposal on reducing fund credit risk to present in a team forum for approval or escalation to Chief Investment Officer for product.

Developed the product playbooks on prime brokerage, cleared derivatives, and bank loans in an effort to build team’s product knowledge, reassess exposure calculations, and identify areas of excess risk; performed deep-dive product research that encompassed execution and settlement process, product-specific exposure factors, industry practices to reduce credit risk, usage within Asset Management, and legal protections.

As a business lead for a number of projects, partnered with the technology team in communicating the business requirements; designed the entire system workflow for managing a core business process by defining logic and user actions within workflow, resulting in 60% reduction in time; managed enhancements and fixes to the main business application, defined data feed requirements for new product and client feeds.

Increased overall efficiency in producing reports by 80%, by streamlining and automating core reports using Python and Tableau, creating templates and tools for supporting analytical projects in Tableau, as well as engineering a business user functionality to overwrite data quality issues in shared data sources.

Managed the process of monitoring daily trading activity for any unapproved trades; regulated counterparty risk through identification and root cause analysis of the trading exceptions; interfaced with Operations and Control Management teams to remediate any control gaps and procedural breaches.

Actively engaged in cross-functional projects driven by regulatory need, cross-system consistency, operational gaps.

Oversaw and enhanced the quality of reported counterparty exposure across all AM by identifying data issues, sizing up to as much as 1B in overstated exposures as well as collaborating with operations, technology, and support teams on implementing data controls and strategic solutions to eliminate future errors.

Successfully completed all requirements for the annual external audit with a major auditing firm. Business Management Analyst New York, NY

JPMorgan Chase & Co. Consumer and Consumer Bank JUL 2015 – NOV 2016

As part of the business management team, provided facts/figures and data-driven analysis regarding actual/forecasted allocation of resources and budget, project portfolio and activity, current/future demand in the pipeline, etc.

Delivered an active role in the reporting initiative to help IT project managers track execution of projects, prioritize demand, assess application impacts, and have visibility into projects coming into the demand pipeline.

Supported business management in identifying areas to reduce costs by supplementing analysis of project impacts, project priority, project readiness, and right job family mix requirements resulting in total cost savings of ~1.5M.

Created predictive reports to line up future capacity to future demand to proactively identify resource constraints or teams that have overcommitted to demand, with 6+ months lead time.

Tracked metrics on project delivery, software quality, production assurance, risk and control, and people/location mix for monthly CTO review.

Researched and documented the application of decision flows regarding capitalization of IT projects. TECH SKILLS (years)

SQL 10+ DATA ANALYSIS 10+ TABLEAU 8+ EXCEL MODELING 5+ PYTHON 4+ BIGQUERY 4+ Statistics EDUCATION

University of South Florida Tampa, FL

Bachelor of Science in Finance, AUG 2012 - MAY 2015 Management Information Systems

GPA: 3.9/4.0

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