U of I/Coursera joint Digital marketing specialization, a 6-course program consisting of the following classes: Digital Marketing Analytics in Theory, Digital Media and Marketing Principles, Digital Marketing Analytics in Practice, Digital Marketing Capstone, Digital Media and Marketing Strategies, and Marketing in a Digital World.

Business Analytics, a 5-course specialization by University of Pennsylvania on Coursera which includes: Customer Analytics, Operations Analytics, People Analytics, Accounting Analytics, and Business Analytics Capstone.

<ul><li>Led the eCommerce Intelligence and Analytics team to enable quick data science analytic output and actioning of insights to ensure success in the online channel.</li><li>Oversaw account specific eCommerce Intelligence strategy development, implementation, and maintenance along with providing analytic support to eCommerce Marketing.&nbsp;</li><li>Co-managed Vendor/Seller Central for our Amazon account and other retailer databases as required to ensure optimal online performance and resolution of issues.</li><li>Worked closely with Content Optimization team to validate findings in Vendor Central and ensure corresponding actions are being addressed related to content.</li><li>Owned the relationship with external eCommerce Intelligence vendors and agencies (in partnership with IT) to determine which services and technology tools will provide the best view of success for online KPIs and determine implementation plan.</li><li>Identified areas where an external partner is needed for a toolset or service and determine best path forward owning the relationship with that vendor.</li></ul>

Senior Manager, E-commerce Analytics & Intelligence

<ul><li>Authored, developed, and taught advanced computer application classes.</li><li>Provided instructional services, developed Excel models, and completed various consulting engagements.</li><li>Grew the list of clients including Macomb Community College, Henry Ford Community College, Illinois High School District 214, General Assembly, and Thinkful.</li></ul>

Chief Data Consultant

<ul><li>Led company's Digital Media Insights practice, supporting multiple clients and internal and external stakeholders.</li><li>Reviewed and drove overall digital insights, analysis and reporting, financial management of assigned team and associated clients, and ensured excellence in delivering digital insights and analysis.</li><li>Oversaw client analytics strategy and planning, including development a measurement framework for digital marketing.</li><li>Organized client analytic strategy sessions across bought (SEM, Display), earned (SEO, Social) and owned (website) media and supported teams in presentation of large scale client initiatives.</li><li>Negotiated agreements with 3rd party analytic providers.</li><li>Managed a team of 5: ranging from Analyst to Manager level analytics professionals.</li></ul>

Director of Client Analytics

<ul><li>Provided direction and recommendations to Business Leaders in program direction and Marketing asset management.</li><li>Managed marketing spend analysis, optimizing ROI, and expense management.</li><li>Led business unit in reporting and analyzing multiple aspects of merchandising of products.</li><li>Developed offers, expense tracking, and margin impact for member rewards and identified insights into incremental impacts of a variety of offers.</li><li>Targeted interaction offers development, maintenance, and reporting effectiveness of preprint marketing and price points.</li><li>Maintained, developed, and enhanced reporting and analysis processes to help generate profitable incremental sales for various marketing initiatives.</li></ul>

Marketing Analytics, Web

<ul><li>Compiled daily, weekly, monthly, and year-end financial reports on marketing activities and overall business results.</li><li>Provided projections and forecasts of expected quarterly and seasonal sales.</li><li>Created ad-hoc reports, charts, and presentations for upper-level management.</li><li>Assisted in compiling an annual budget for the site-wide and channel-specific activity.</li><li>Performed ongoing analysis to determine the return on investment and variance to plan.</li><li>Analyzed campaign data to determine the effectiveness and recommended course of action for all online marketing channels.</li></ul>

E-commerce Analytics

<ul><li>Analyzed and interpreted financial data, made recommendations for improvement, created monthly key financial metrics reports, and compared them to the corporate plan.</li><li>Participated in the budgeting, month-end close, and financial reporting processes and developed financial models to evaluate the impact of pricing, promotions, and product changes.</li><li>Worked with various departments throughout the organization (Marketing, IT, Sales, Operations) to collect information and provide analytical support.</li><li>Managed the company’s referral program, and increased revenue from this sales channel by over 30% within one year.</li><li>Extracted and analyzed financial data to understand how profitable different products, market segments, and customer groups are to the organization, and then presented it to the Executive team.</li><li>Acted as part of a working group with Marketing to design appropriate promotional pricing programs for the existing customer base to lessen attrition and enhance margin.</li></ul>

Financial Planning & Analysis

While still in Beta, BigQuery ML has been available since mid last year; however, I didnt get around to working with this Google

Getting Started with Google BigQuerys Machine LearningTitanic Dataset

Alexander Blyakhman

Machine learning is both an art and a science, and continuing education is necessary for finance professionals to master it.

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Predicting Conversion Events from Google Analytics Dataset for Google Merchandise Store in BigQuery

Predicting conversion events from Google Analytics dataset for Google Merchandise store in BigQuery

Finance professionals can compare various data visualization programs to find the one that best suits their organization.

Selecting Data Visualization Tools - Strategic Finance

Charts should aid users, not confuse them. Follow these tips to make your data presentation more effective.

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Whether you are a student eager to get their first gig in data analytics or data science, or an experienced professional looking for the next challenge in their career; creating a portfolio of analytics projects based on real-world datasets could make your application stand out from other job seeker

List of top open and public dataset providers

A marketing blog published for iCrossing.

A Two Trillion Dollar Question: What's The Importance Of Measuring Online-to-Offline Impact?

English (British)

Alexander Blyakhman has over 20 years of data analytics experience across the retail, pharmaceutical, telecommunications, digital advertising, and manufacturing sectors. He specializes in marketing, e-commerce, and financial analytics, and has worked with brands like Hearst Media, Sears, Kmart, Bridgestone, and Perrigo. During his stint at BullsEye Telecom, he managed the company’s referral program which brought in a revenue increase of 30% from this sales channel within one year.

Alexander Blyakhman

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Getting Started with Google BigQuerys Machine LearningTitanic Dataset

The New Era of AutoML - Strategic Finance

Predicting Conversion Events from Google Analytics Dataset for Google Merchandise Store in BigQuery

Predicting conversion events from Google Analytics dataset for Google Merchandise store in BigQuery

Selecting Data Visualization Tools - Strategic Finance

Five Data Visualization Mistakes and How to Avoid Them

Getting Started with Google BigQuerys Machine LearningTitanic Dataset

The New Era of AutoML - Strategic Finance

Predicting Conversion Events from Google Analytics Dataset for Google Merchandise Store in BigQuery

Predicting conversion events from Google Analytics dataset for Google Merchandise store in BigQuery

Selecting Data Visualization Tools - Strategic Finance

Five Data Visualization Mistakes and How to Avoid Them