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Data Analyst

zuletzt online vor wenigen Stunden
  • auf Anfrage
  • 10997 Berlin
  • auf Anfrage
  • ru  |  en  |  de
  • 02.11.2024

Kurzvorstellung

Experienced Product Analyst:
— over 6 years of senior analytics experience
— advanced skills Python/SQL
— profound level knowledge of designing and evaluating A/B tests
— experience in data architecture projects
— end-to-end analytical tools for 6+

Qualifikationen

  • Data Analyst6 J.
  • Postgresql4 J.
  • SQL4 J.

Projekt‐ & Berufserfahrung

Data Analyst
Inkitt GmbH, Berlin
6/2023 – offen (1 Jahr, 6 Monate)
IT & Entwicklung
Tätigkeitszeitraum

6/2023 – offen

Tätigkeitsbeschreibung

Subscription Retention: Led a project on subscription retention calculations, delivering insights that improved monetization strategies and user retention.
A/B Testing Automation: Streamlined A/B testing processes with an automated metrics calculation via Python basedstatistical significance assessment tool, reducing decision-making time and improving feature rollout stability.
Enhanced Analytics Collaboration: Optimized collaboration processes within analytics to ensure smoother communication and integration of insights into project workflows.

Eingesetzte Qualifikationen

Data Science, Postgresql, Datenanalyse, Python, SQL

Lead Data Analyst
VK Group, Saint-Petersburg
12/2020 – 5/2023 (2 Jahre, 6 Monate)
IT & Entwicklung
Tätigkeitszeitraum

12/2020 – 5/2023

Tätigkeitsbeschreibung

Team Leadership: Managed a team of three analysts and mentored five members from other departments. Established collaborative workflows, improved task transparency, and enhanced communication between analytics and product teams.
Custom Metrics Calculation: Integrated bootstrapping into our A/B testing calculations, reducing analysis time for small tests from 1.5 weeks to three days.
Product Metrics Overhaul: Redefined key product metrics to focus on time spent, enabling better data-driven decisions.
Key Project Ownership: Led two major projects—a data system for custom data storage from subdomains and a new session calculation system (team’s North Star metric).
Loyalty Program Analysis: Developed an analytics system for the loyalty app (200K DAU at day 14), with detailed unit economics and reporting on program success.

Eingesetzte Qualifikationen

Data Science, Postgresql, SQL, Data Analyst

Senior Product Analyst
Aviasales, Hong Kong
12/2018 – offen (6 Jahre)
IT & Entwicklung
Tätigkeitszeitraum

12/2018 – offen

Tätigkeitsbeschreibung

Developed an analytics framework for a new department, which included data mart structuring, key business metrics hierarchy, dashboards, and product hypothesis testing.
Identified an inconsistency in ad data, resulting in a 2% reduction in customer acquisition cost (CAC).
Created and implemented a customer development methodology, enhancing customer insight and feedback integration.

Eingesetzte Qualifikationen

Data Analyst

Über mich

— Developed an analytics framework for a new department, which included data mart structuring, key business metrics hierarchy, dashboards, and product hypothesis testing.
— A/B Testing Automation: Streamlined A/B testing processes with an automated metrics calculation via Python basedstatistical significance assessment tool, reducing decision-making time and improving feature rollout stability. Integrated bootstrapping into our A/B testing calculations, reducing analysis time for small tests from 1.5 weeks to three days.
— Enhanced Analytics Collaboration: Optimized collaboration processes within analytics to ensure smoother communication and integration of insights into project workflows.
— Team Leadership: Managed a team of three analysts and mentored five members from other departments. Established collaborative workflows, improved task transparency, and enhanced communication between analytics and product teams.
— Key Project Ownership: Led two major projects—a data system for custom data storage from subdomains and a new session calculation system (team’s North Star metric).

Weitere Kenntnisse

— Python (pandas, numpy, plotly)
— SQL (PostgreSQL, MySQL, ClickHouse, Impala)
— BI tools (Tableau, Grafana, Metabase,SuperSet)
— Hadoop, Spark, DBT

— profound level knowledge of designing and evaluating A/B tests
— experience in data architecture projects

Persönliche Daten

Sprache
  • Englisch (Fließend)
  • Russisch (Muttersprache)
  • Deutsch (Grundkenntnisse)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
22
Alter
30
Berufserfahrung
7 Jahre und 10 Monate (seit 01/2017)

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