Anna

Profile
Over 9 years of experience building a successful product in various -elds. I am a Data
Analyst with passion for problem solving.j
Anna Kirichko Being an Analyst for me is about helping business to ob'ectively prioritise their goals
based on data and then use data to reach goals we0ve set. I am business oriented and
H E A D O F A N A LY T I C S
always try to understand why the problem needs to be solved and what is the best
possible solution.j
Details
Limassol Employment History
Cyprus
Head Of Analytics, Whaleapp LTD, Limassol
97788852
DECEMBER 2—21 , PRESENT
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Managed cross functional teams comprising of game designersq analystsq data 4aq
N AT I O N A L I T Y
data scientistsq business analystsq data engineersq SQL developers and marketers to
Ukrainian deliver product enhancements that increased value of the pro'ect by %—:z
D AT E O F B I R T H
Product analytics.
21.12.1991
Data Driven Decision Makingz Utili;ed analytics tools to gather insights and make
data driven decisionsq enhancing product features and user experience based on
Links customer feedback and usage patterns. Such asz
Lindedin
1. functional analysis3

2. managing complex ecosystem of product metrics3
Skills
V. registration funnel (6isit Registration 6eri-cation FTD Gaming action)3
Microsoft Excel

Knowledgable in User Interface/
%. identifying weaknesses and points of growth based on existing data3

User Experience 5. drawing upq testing and implement the hypotheses for improving the ef-ciency of
Matlab the product3

Google Tag manger X. creating a pyramid of metrics (Business/Product/Interface/Stability levels)3

Qlikview 7. analysis of user behavior.
Python
Economic department
Tableau (Server/Desktop)
Oversaw the entire product lifecycle from conception to launchq including planningq
SQL developmentq and go to market strategiesz
Data Analysis
1. building product development with customer needs and business goals

2. writing concepts (Product 6isions) and development of UJ solutions with the
Languages participation of a UJ designer3
English
V. building the balance of the whole game3

Russian %. creating and balancing of all LiveOps events3

5. building a personali;ed moneti;ation system3
Ukrainian
X. implementation of new functionality into the game3

7. development of various segments of players and building an economy and
moneti;ation for them.

Business analytics
Formation of re4uirements for the productq development of terms of reference
(re-nement of existing productsq implementation of new featuresq etc.)3

1. Preparation of technical speci-cations for processingq cleaningq stacking and
aggregation of data for all departments of the company3

2. Development and standardi;ation of reports and dashboards3

V. Preparation of the tracking system for all functionality3

%. Interaction with the RND team to ensure user segmentation and clustering3

5. Development and support of user matchmaking for various activities in the product3

X. Settingq prioriti;ing tasksq and controlling their execution3

7. Analysis of the effectiveness of implemented changes in software products3

9. Monitoring and analysis of competitors0 products.

Data Science

1. Building and maintaining various forecastsz churnq conversionsq LT6q etc3

2. Implementation of models in the pro'ectq their supportq development of proposals
based on the results of the received forecasts.

Marketing Analytics

1. Analysis and optimi;ation of running companies3

2. Clustering of countriesq determination of optimal benchmarks and control points
for procurement optimi;ation3

V. Preparation of dashboards and reporting.

Product Strategy Development

1. Led the development and implementation of product strategiesq which led to a V—:
reduced in investment return time.

2. Researching competitor platforms on the local and international marketsq as well as
leading products from related domains showing convincing growth3

V. Product lifecycle development and Product re4uirements writing.

Lead Game Economists, Whaleapp LTD, Dnipro
AUGUST 2—21 , DECEMBER 2—21

Development of the entire economics of the pro'ectzj

1. Building an optimal balance of inWow and outWow of game currency of users3j
2. Determination of points of scarcity formation and selection of appropriate
methods of user moneti;ation3j
V. Balancing the inWux of game currency from regular LiveOps3j
%. Determining the optimal dif-culty of the game for different groups of users3
5. Formation of the entire moneti;ation system of the pro'ectq formation of the
optimal offer for each user3j
X. Balancing new functionality3j
7. Analysis of the effectiveness of changes and innovationsq their ad'ustment and
optimi;ation.

Data Discovery Analyst, MURKA, Dnipro
APRIL 2—18 , UNE 2—21
Development of the entire economics of the pro'ectzj

1. Building an optimal balance of inWow and outWow of game currency of users3j
2. Identi-cation of scarcity formation points and selection of suitable methods of
user moneti;ation3j
V. Balancing the inWux of game currency from regular LiveOps3j
%. Describing the components of the new user 'ourney to improve the entry funnel3j
5. Determining the optimal complexity of the game for different user groups3j
X. Analysis of the effectiveness of changes and innovationsq their ad'ustment and
optimi;ation.

Product Analytics' Lead, MURKA, Dnipro
M AY 2 — 1 5 , A P R I L 2 — 1 8

1. Strategic management3j
2. Prioriti;ation of the tasks of the analytical department according to the goals of
the company3j
V. Preparation of TOR for the development of analytical databases3j
%. Development of a controlled model for constructing adaptive dif-culty curves
to determine the optimal complexity of the game based on the player0s behavior
in order to maximi;e user retention and conversion3j
5. Close cooperation with product managersq game developers and producers.

Product Analyst, MURKA, Dnipro
A U G U S T 2 — 1 V , M AY 2 — 1 5

1. ork with the free to play model on several media platforms3j
2. ork with slot leaksz constant monitoring and analysis of the main metrics
of pro'ectsq identi-cation of bottlenecks and places of potential growth in the
-nancial performance of the pro'ect from the formation of a hypothesis to the
issuance of recommendations3j
V. Analysis of user life cycles and segmentation analysis3j
%. Conducting A/B testing to provide recommendations for continuous
improvement in user retention and conversion3j
5. Automation of most types of periodic reports3j
X. Evaluation of the effectiveness of marketing campaignsq including ARPU
modeling.

Education
Specialist, Dnipropetrovs'kij Nacional'nij Universitet, Dnipro
SEPTEMBER 2——9 , U LY 2 — 1 %

System analysis