Senior Data Analyst and Adjunct Professor

Anna Lizarov

347-***-**** Objective: Mathematics/Statistics position ***********@*****.***

LinkedIn GitHub Supplemental Portfolio

INDUSTY EXPERIENCE:

Senior SEO Analyst Hearst Newspapers New York, NY 10019 05/25 – Present

• Partnering closely with Performance Content Team, editorial leads, and product partners to uncover insights and opportunities that grow SEO traffic across our network.

• Design, maintain, and improve KPI tracking systems and dashboards to measure search performance and guide decision-making.

• Using tools like topic modelling algorithms, LLMs, and other machine learning tools to scale SEO analysis across a wide range of sites and content.

• Using technical and analytical skills to audit content, identify SEO gaps, and surface actionable recommendations.

• Leading the analytics strategy for SEO tests and initiatives — ensuring experiments are well-instrumented, results are clear, and next steps are data-driven.

• Monitoring organic search performance using tools like GSC, Botify, Fastly, and SEMRush, and spot issues before they become problems.

• Translating complex findings into clear, compelling stories for stakeholders across editorial, product, and executive teams. Data Analyst Sesame Workshop New York, NY 10019 02/20 – 04/25

• Responsible for the measurement of digital strategy in response to the needs of Digital Production and other Business Stakeholders

• Analyze and solve problems at their root, stepping back to understand the broader context; analyzing user behavior data such as website traffic and game data using R, Python, PostgreSQL, and BigQuery.

• Creating data pipelines, retrieving data through API from Facebook, Twitter, and YouTube.

• Centralize and standardize digital tracking, analytics, and associated data quality by working with developers and digital producers to determine appropriate KPI metrics and behavior to track on new and existing properties.

• Administer analytics accounts, properties, user management, dashboards, and reports in Google Analytics 360 suite, Google Tag Manager, Google Looker Studio, Tableau, and Power BI

• Diagnose issues with existing platform configurations and tags, and provide recommendations for improvement; analyze audience reach, engagement, and behavior metrics holistically across different business units while keeping in mind the custom needs and use cases.

• Support stakeholders to create custom reports for the business needs; identify areas of inefficiency and develop methods of improvement in order to allocate financial resources appropriately.

• Conducting regression analysis, PCA, predictive modeling, cluster analysis, sentiment analysis, and more with games data and reviews data.

TEACHING EXPERIENCE:

Adjunct Lecturer John Jay College of Criminal Justice (CUNY) New York, NY 10019 08/2024 –Present

• STAT 250 – Principles and Methods of Statistics

• Applied Social Science Statistics; Base assumptions; Role of statistics in data analysis and interpretation of data.

• Frequency distribution; measures of location and variation; probability and sampling, hypothesis testing, linear regression and correlation, time series, and index numbers, and regression analysis (including logistic regression)

• Lesson plans creation; classroom activities; grading; Guidance and feedback for 28 students weekly in-person. Assistant Teachers College Columbia University New York, NY 10027 09/19- 12/19

• Providing support in Core Methods in Educational Data Mining course, including R support

• Code Review, data entry, data cleaning/wrangling, data manipulation for various research projects EDUCATION:

09/2018 – 12/2019 M.S. in Learning Analytics Columbia University New York, NY 10027 09/2013 – 05/2017 B.A. in Forensic Psychology with minor in Mathematics John Jay College of Criminal Justice (CUNY) New York, NY 10019

SKILLS:

Programming: R, SQL, Python, Jupyter Notebook, Git, dbt, Javascript (Bootstrap, AngularJS, D3.js, Node.js, VUE.js), HTML5, CSS, SPSS, STATA, NVivo, web-scraping, WordPress, MS Excel Cloud: AWS, (S3 Data transfers, computing, data pipelines), Google Tag Manager, BigQuery, Google Analytics 360 Suite, and Google Search Console, GitHub, BitBucket, GCP, Google Search Console Data Analysis: Exploratory analysis, statistical analysis, power analysis, descriptive statistics, inferential statistics, hypothesis testing, Regression Analysis, structural equation modeling (SEM), hierarchical model building, linear modeling, causal inference, topic modelling, data mining, data wrangling, ETL flow, data visualization, interactive visualizations, social network analysis (SNA), cluster analysis, principal component analysis (PCA), APIs, predictive models, classification trees, regression trees, decision trees, cross validation, model evaluation, neural networks, recommendation systems, natural language processing (NLP), text mining (TM), closing the loop, analysis of Time-Series data, Bayesian Statistics, Feature Engineering, A/B testing Presentation/Communication: Tableau, Looker, LookerML, PowerBI, Google Looker Studio, dashboards, reports, JIRA, Google Workspace, Slack, customer service, teamwork, AGILE environment, problem-solving, and critical thinking skills, and detail-oriented LANGUAGES: English (Native), Russian (Native), French (Introductory Level)

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