Analytics, Head of analytics, Data analysis, data engineering, data sciencem product anaytics, banking analytics

1. C O U R S E S
GOOGLE, 2021
Data analytics
COURSERA, STANFORD, 2021
Machine Learning
HSE, 2020
Python
ACDADEMY OF DIGITAL
BUSINESS IMBA, 2020
Internet Marketing
AGILE PROFESSIONALGLE, 2018
Scrumtrek
HSE, 2010
Economics
NES, 2009
Economics
MSU, 2008
Foreign Languages department
Technical translator from English
MICROSOFT IT ACADEMY, 2007
MS SQL Server Database
10+ experience in corporate and retail banks, financial and IT companies,
including 6+ experience with managerial level. Specialization: building analytics
infrastructure, business analysis and business planning, financial and
management reporting, development of analytical solutions and systems,
product analytics, optimization and automation of business processes, data
science developing, machine learning projects, chat-bots and neurolinguistic
models (data engineering, data analytics, data science, product analytics)
+7 (906) 768-07-63
ilyatsarfin@gmail.com
Moscow, Russia
linkedin.com/in/ilyatsarfin
E D U C A T I O N
HSE, 2012
Business-informatics
Master of Business informatics
MSU, 2008
Computational mathematics and
cybernetics
Bachelor of mathematics and
cybernetics
Ilya Tsarfin
ROSSELKHOZBANK | www.rshb.ru | г. Москва 2020 – …
DEPUTY HEAD OF ANALYTICAL CENTER (2021 – …)
HEAD OF BUSINESS-ANALYTICS, PLANNING AND REPORTING (2020–2021)
Direct subordination to the head of the big business department (top clients
with 10+ billion rubles income). Industries: agriculture, oil & gas, real estate
development (residential and commercial).
Management (3 teams): analytics and ad-hoc, business planning and reporting,
process automation. Total 13 people: 3 managers, data engineers, data
analysts, data science specialists, bi specialists, developers.
Strategic management:
• Developing and defending analytics division development strategy;
• Building analytics infrastructure, data architecture planning and
integration;
• Creation and development of business intelligence system based on
MS SQL Server and Tableau;
• BSC/KPI system performance evaluation, system update and re-
design.
Reporting:
• Organizing the process of data collection, cleansing, validation, and
uploading;
• Development of the roadmap and implementation of the BI system
(financial, management reporting, mobile reports, multi-level (drill
down) KPI scoreboards);
• Preparation of consolidated reporting and presentations to the Board
of Directors, Management Board.
Planning:
• Quarterly business planning;
• Weekly forecasting of KPI fulfillment;
• Budgeting and control over budget usage;
• Factor analysis of deviations from targets;
• construction of financial models;
• Development of economic models and scenarios
Product analytics:
• Participating in the development and implementation of the Bank's
new products.
• Segmentation of client base and building reporting on current client
segments;
• Development of analytical dashboards (Tableau).
H E A D O F A N A L Y T I C S
P R O F I L E
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2. S K I L L S
Developing Analytical Infrastructure
Implementation and developing of
analytical systems
Business Intelligence Systems
Big Data
Data Analysis
Data Mining
Data storytelling
Machine Learning
Business Analytics
Statistical Analytics
Finance Analytics
DWH developing
Modeling and data analytics
Mathematical statistics
Mathematical modeling
Digital-analytics
Product analytics
Ad-hoc
Data visualization
KPI developing
Business Planning
Business Modeling
Finance modeling
Budgeting
Management reporting
Management accounting
IFRS | RAS
Report automation
Business process automation
Development of analytical systems:
• Development of integrated solutions for analytics and data
management;
• Development of mechanisms of batch and stream integration with
internal and external data sources;
• DB design based on MS SQL Server 2016
Business processes:
• Researching business processes, working out the methodology of data
analysis and calculation;
• Building a process of "business analysis of complex tasks and
commercial activities" (calculation of business cases, post-analyses);
• Process optimization: business planning and budgeting, data collection,
credit process, building regular management reporting, process for
updating the inclusion of companies into holdings (GVH), supply chain
financing process.
Data science:
• Forecasting models based on machine learning instruments and
algorithms
• Telegram chat bots based on neurolinguistic instruments and
algorithms (gpt-3)
• Picture generation platform based on neuronetworks
Process optimization: business planning and budgeting, data collection, Key
results and projects:
• Created an automation team from the ground up.
• Developed and implemented KPI system, created metrics structure for
project evaluation. Increased business process efficiency by 33%,
reduced cost by 21%.
• Developed and implemented a local data warehouse (SQL based).
• Deployed BI data visualization system (tableau).
• Deployed a system of automated regular reporting.
• Developed and implemented processes of end-to-end customer
experience measurement and analytics within the Bank.
• Participated in the process of implementation of a new CRM system,
in projects on IT systems refinement, data collection systems, task
tracking and scrum (JIRA) principles.
BCS HOLDING | www.bcs.ru | г. Москва 2016 – 2020
HEAD OF ANALYTICS 2020
13 people subordinate: 2 business analysts, 1 digital analyst, 2 reporting and
ad-hoc analysts, 2 developers, 1 BI analyst, 5 product analysts
HEAD OF CLIENTS ANALYTICS, 2018 – 2020
7 people subordinate: 2 business analysts, 1 digital analyst, 2 reporting and ad-
hoc analysts, 2 developers.
HEAD OF CUSTOMER ATTRACTION, 2016 – 2018
2 people subordinate: 1 analyst, 1 developer.
• Formation and implementation of strategic plan for analytics
development in the following areas: digital marketing, customer
service, agency sales, telesales, events, partner network (LTV, CPA,
Conversions).
• Creation and development of analytics and BI system. Implementing
new tools to solve business problems; building DWH with the team;
improving technical solutions; ensuring reliability and consistency
when working with data.
• Developing analytics systems and building analytics infrastructure.
Development of complex solutions for analytics and data management;
implementation and development of new tools (A/B testing solution,
implementation of ML tools); development of reports in MS SQL
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3. • Automation of regular reporting. Preparation and closure of
consolidated financial statements and group management accounts;
development of management reporting architecture; transformation of
financial data from business systems into financial statements;
methodological support for management reporting; presentations to
the holding company's management (presentations and dashboards in
Tableau).
• Business processes. Assessment of economic and qualitative potential
of business processes and functions; automation of customer
experience measurement and reporting system (CSI, NPS); optimization
of ETL process for processing and analysis of customer data; building a
business intelligence process for complex tasks and marketing
activities.
• Product Analytics. Mobile and web analytics: research of user
interactions with the product, building end-to-end analytics and
reporting; building processes for testing key product changes; working
with backlog and hypotheses of product teams; developing
methodology and building sales funnel; calculating effect of
promotional campaigns.
Key Results and Projects:
• Built an effective analytics unit structure to provide timely information
to all categories of users and customers. Increased team staff by 6
times (12 vs. 2). Ensured growth of the team's expertise.
• Ensured growth of business KPI through implementation of machine
learning models. Increased account sales by 2.5 times (2018 vs 2016).
• - Increased conversions and new customer acquisition efficiency (CRM,
Analytics). Increased ACB by 3.7 times (2020 vs. 2016).
• Created a base for management decision making for different levels
through applied datamarts. Increased the speed and quality of
collecting base datamarts and calculations.
• Automated reporting and ad-hoc analytics tools. Developed 40 regular
automated CRM reports (Dashboards, SSRS, Tableau).
BSGV | www.rosbank.ru| Moscow 2014 –2016
HEAD OF MARKET RESEARCH AND ANALYTICS
3 people subordinate: 1 business analyst, 1 developer, 1 reporting specialist
• Participation in the project of implementation of a corporate data
warehouse
• Analytics and forecasting of the mortgage market
• Implementation of the banking product list
• A bank client’s income calculation project
• New banking product development project (project manager)
ALFA-BANK | www.alfabank.ru | г. Москва 2012 – 2014
HEAD OF ANALYTICAL AND BUSINESS PLANNING STREAM
HSBC BANK (RR) | www.hsbc.ru | г. Москва 2010 – 2012
MIS SPECIALIST
L A N G U A G E S
Russian | fluent (mother tongue)
English | С1 (advanced)
German | А1 (basic)
S O F T S K I L L S
Analytical thinking
System thinking
Business metrics orientation
Critical thinking
Communicativeness
H A R D S K I L L S
MS Office (Word, Access, Excel,
PowerPoint, Outlook, Visio, Project),
VBA, Visual Basic, SharePoint, Lotus
Notes, Power Pivot
Programming languages:
SQL (PL/SQL, T-SQL, PostgreSQL),
Python
MS-SQL tools: SSIS, SSRS
Reporting: MS SSRS, QlikView,
Oracle BI, Power BI, Tableau, Crystal
Reports, Google Data studio
Analytics: Oracle BI, SAS (Miner,
Base), SPSS (Clementine)
Digital analytics: Google Analytics,
Yandex. Metrics, Amplitude
Mobile analytics: AppsFlyer,
AppMetrica
Business cases:
ROCE, ROI, IRR, NPV, PI, Cash Flow,
DCF, Earnings
CRM: Sales Logix, MS Dynamics,
Siebel, Salesforce
Project management:
Agile, Scrum, Kanban, MS Project
Expert, Jira, Confluence, Waterfall
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