Daniil Bogdanov

Business Development Executive

Prague, Czechia0 mo experience

Key Highlights

Proficient in data analytics and visualization tools.
Experienced in marketing data analysis and brand development.
Strong ability to translate data into actionable insights.

Stackforce AI infers this person is a Marketing Analyst with a focus on data-driven decision making in the Marketing industry.

Contact

Skills

Core Skills

Data AnalyticsMarketing AnalyticsMarket Analysis

Other Skills

Brand DevelopmentData AnalysisPostgreSQLExcelPower BICustomer AcquisitionData ValidationGoogle BigQueryTableauBrand AnalysisBranding & IdentityBrand StrategyData-driven Decision MakingMicrosoft Power BIData-driven Marketing

About

Junior Data Analyst focused on analyzing business and marketing data to generate actionable insights and support data-driven decision-making. I have hands-on experience working with marketing data, sales-related metrics, and brand analysis through real-world projects. My background combines performance marketing, business-oriented thinking, and analytical skills, allowing me to approach data not only from a technical perspective, but also from a business impact standpoint. In my projects, I have worked with data cleaning, transformation, and analysis, as well as building dashboards and visualizations to identify patterns, trends, and opportunities for improvement. I focus on translating raw data into clear, structured insights that can support business decisions. 🔧 Tools & Skills: • SQL (PostgreSQL) • Excel / Google Sheets • Power BI • Data Cleaning, Analysis & Visualization 📊 Areas of interest: • Data Analytics • Business & Marketing Analytics • Customer & Behavioral Insights • Campaign Performance Analysis • Data-Driven Decision Making I am currently looking for opportunities as a Junior Data Analyst where I can apply my analytical skills in a real business environment and continue developing in data analytics. Open to roles in Prague or remote (EU).

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Google

Student - Marketing Data Analyst case study

Feb 2026 – Mar 2026 · 1 mo

https://github.com/DanBog0110/Cyclistic-Usage-Analyses
Business Problem
Cyclistic aims to increase the number of annual members, as they are more profitable than casual riders.
The objective of this analysis is to identify behavioral differences between casual riders and members to support conversion strategies.
So here were analyzed 5.6M bike trips to identify behavioral differences between casual riders and members, uncovering strong seasonality and usage patterns to support conversion strategies.
Data
Source: Divvy public dataset
Period: 12 months
Size: ~5.6 million records
Location: Chicago bike-share system
Tools Used
PostgreSQL — data cleaning & analysis
Excel — preprocessing
Power BI — visualization
Process
Data cleaning (duplicates, invalid trips)
Feature engineering (ride_length, day_of_week)
SQL analysis (user behavior, seasonality, bike type)
Dashboard creation (Excel + Power BI)
Key Insights
Members generate the majority of rides → routine usage
Casual riders have significantly longer trips → leisure behavior
Strong seasonality → summer is peak demand
Electric bikes dominate short and efficient trips
Casual riders are weekend-oriented, while members are weekday-oriented
Recommendations
Launch seasonal campaigns focused on summer
Position membership as a leisure product, not only commuting
Use electric bikes as an entry point for conversion

Data AnalysisData Analytics

B2b company in the food ingredients industry

Brand Analyst & Identity Development

Nov 2025 – Apr 2026 · 5 mos

https://github.com/DanBog0110/brand-strategy-case
Business Problem
The company lacked a unified brand system, resulting in inconsistent visual identity, unclear positioning, and fragmented communication across departments.
Task
Develop a structured, data-driven brand foundation (brandbook) that aligns internal perception and enables consistent external communication.
Actions
Analyzed and selected an appropriate brand identity framework (Kapferer Prism) for a B2B environment
Conducted leadership interviews to define initial brand hypotheses (values, positioning, communication)
Structured qualitative insights into a preliminary brand identity model
Designed and executed an internal survey (100+ responses) to validate brand assumptions
Performed quantitative analysis (scaling, averages, gap analysis) to identify alignment gaps
Classified brand elements into validated, partially aligned, and non-supported categories
Built a data-driven brand foundation based only on validated insights
Developed a full brand book (strategy, positioning, communication guidelines)
Created an initial visual identity system based on validated brand associations
Results
Established a unified and structured brand system for the company
Eliminated ad-hoc decision-making in branding and communication
Enabled consistent messaging across marketing, sales, and partnerships
Provided a scalable foundation for future brand development
Introduced a data-driven approach to brand decision-making

Data AnalyticsBrand Development

Vieam agency – client: rushemp

Performance Marketing Manager

Nov 2025 – Feb 2026 · 3 mos · Remote

1) Analyzed influencer campaign performance using CTR, reach and engagement metrics.
2) Evaluated effectiveness of 20+ influencer collaborations and identified high-performing creators.
3) Conducted benchmarking analysis to optimize influencer selection and campaign ROI.
4) Managed campaign budget allocation (€2000/month) based on performance metrics.
5) Monitored traffic generation performance achieving an average CTR of 3%.

Marketing AnalyticsData Analysis

Vapeshop n1

Customer Specialist

Jun 2022 – Nov 2024 · 2 yrs 5 mos · Prague, Czechia · On-site

1) Analyzed customer purchasing behavior and product demand in retail environment.
2) Collected and interpreted market insights on product preferences and sales trends.
3) Supported product assortment decisions based on customer demand patterns.
4) Worked with POS system data and daily sales reporting.
5) Provided feedback on product performance and customer needs.

Market AnalysisCustomer Acquisition