Channels / CY iT HR
CY iT HR
@cyprusithr · supergroup
· filtered by
Tatsiana Suponeva
← Prev Day
Jul 12 2021
Tatsiana Suponeva
2021-07-12 09:42 UTC
Товарищи, продолжаем искать:
Experienced data analyst / scientist for the mobile application project.
The ideal candidate for this position is an analytically-inclined, dynamic self-starter, skilled in all aspects of data analytics, including mining, generation, interpretation and visualization with a keen propensity to finding patterns and root causes in large datasets. The experience with software (Amplitude or similar) is a must.
Data Ecosystem
• Performs data reconciliation / manipulation tasks to proactively optimize data architecture
• Monitors data hygiene inputs and outputs by continuously safeguarding data quality, integrity, privacy and usability
• Consolidates data gathered across multiple sources along the customer journey (structured + unstructured) to identify macro-level themes
• Identifies opportunities for automation.
Marketing / CRM Analytics
• Defines and quantifies current customer base
• Implements strategies to maximize customer retention, lifetime value and share of wallet
• Partners with technical advisors on predictive analysis, audience segmentation, attribution modeling and hyper-personalization frameworks
• Analyzes campaign performance and defines logic for campaign automation
• Develops an in-depth understanding of the customer journey and churn behaviors
• Designs A/B and longitudinal test plans taking into account control groups, statistical significance, audience size, incrementality, etc.
Product Analytics
• Provides perspective and guidance to product teams to ultimately inform buying investments, prioritization backlogs, new product development and iterations on existing products
• Gathers requirements and translate business problems into structured quantitative analyses
• Produces recurrent operational reports and dashboards that highlight main product opportunities on an ongoing basis (e.g., product satisfaction, returns, reviews, etc.)
• Partners with Insights team, to fill informational gaps with ad hoc research when necessary (e.g., archetypes, qualitative deep-dive, category U&A, volumetric study, etc.).
Reporting & Visualization
• Transforms data into inspiring visualizations that accelerate continued innovation and growth
• Socializes results in a clear, concise and compelling way that inspires action
• Drives data literacy across the business by democratizing access to timely and accurate information and empowering cross-functional users to make data-driven decisions on an ongoing basis.
Skills & Experience
• Exceptional analytical skills: ability to navigate large amounts of data and provide critical thinking towards actionable analytics
• Experience with software (Amplitude or similar)
• Comfortable using SQL or other programming languages to query large enterprise data warehouses from scratch (experience with BigQuery is an asset)
• Experience developing, maintaining and managing dashboards and scorecards on visualization tools.(You will need to set everything up from ground up)
• Strong expertise with analytical and statistical methods across channels (online, offline, wholesale)
• Knowledge of main retail performance indicators (experience with Mobile Aplications)
• Strong business acumen
• Demonstrated commitment to the accuracy and completeness of the information
• Excellent communication skills, in English.
Обращайтесь, пожалуйста, в личку или на [email protected].
Experienced data analyst / scientist for the mobile application project.
The ideal candidate for this position is an analytically-inclined, dynamic self-starter, skilled in all aspects of data analytics, including mining, generation, interpretation and visualization with a keen propensity to finding patterns and root causes in large datasets. The experience with software (Amplitude or similar) is a must.
Data Ecosystem
• Performs data reconciliation / manipulation tasks to proactively optimize data architecture
• Monitors data hygiene inputs and outputs by continuously safeguarding data quality, integrity, privacy and usability
• Consolidates data gathered across multiple sources along the customer journey (structured + unstructured) to identify macro-level themes
• Identifies opportunities for automation.
Marketing / CRM Analytics
• Defines and quantifies current customer base
• Implements strategies to maximize customer retention, lifetime value and share of wallet
• Partners with technical advisors on predictive analysis, audience segmentation, attribution modeling and hyper-personalization frameworks
• Analyzes campaign performance and defines logic for campaign automation
• Develops an in-depth understanding of the customer journey and churn behaviors
• Designs A/B and longitudinal test plans taking into account control groups, statistical significance, audience size, incrementality, etc.
Product Analytics
• Provides perspective and guidance to product teams to ultimately inform buying investments, prioritization backlogs, new product development and iterations on existing products
• Gathers requirements and translate business problems into structured quantitative analyses
• Produces recurrent operational reports and dashboards that highlight main product opportunities on an ongoing basis (e.g., product satisfaction, returns, reviews, etc.)
• Partners with Insights team, to fill informational gaps with ad hoc research when necessary (e.g., archetypes, qualitative deep-dive, category U&A, volumetric study, etc.).
Reporting & Visualization
• Transforms data into inspiring visualizations that accelerate continued innovation and growth
• Socializes results in a clear, concise and compelling way that inspires action
• Drives data literacy across the business by democratizing access to timely and accurate information and empowering cross-functional users to make data-driven decisions on an ongoing basis.
Skills & Experience
• Exceptional analytical skills: ability to navigate large amounts of data and provide critical thinking towards actionable analytics
• Experience with software (Amplitude or similar)
• Comfortable using SQL or other programming languages to query large enterprise data warehouses from scratch (experience with BigQuery is an asset)
• Experience developing, maintaining and managing dashboards and scorecards on visualization tools.(You will need to set everything up from ground up)
• Strong expertise with analytical and statistical methods across channels (online, offline, wholesale)
• Knowledge of main retail performance indicators (experience with Mobile Aplications)
• Strong business acumen
• Demonstrated commitment to the accuracy and completeness of the information
• Excellent communication skills, in English.
Обращайтесь, пожалуйста, в личку или на [email protected].
← Prev Day
Jul 12 2021
1 message on this day