- Collaborate with the Product team to define datatracking events and payloads
- Regularly test data to ensure its accuracy correct payloads and proper logic identifying and resolving issues as they arise
- Design and create relevant tables indexing and partitions for efficient data storage and retrieval
- Define the key indicators to be displayed in the Analytics Dashboard working closely with the Product team and stakeholders.
- Develop and maintain dashboards that meet the reporting needs of various stakeholders providing them with clear insights and actionable data.
- Calculate key performance indicators (KPIs) and create visualizations that help stakeholders act on the data.
- Model user behavior based on collected data providing insights into user engagement retention and monetization
- Perform user behavior forecasting to predict future trends and support strategic decisionmaking.
- Conduct scenario analysis for key indicators assessing the potential impact of pricing changes feature updates customer support improvements and other variables.
- Provide stakeholders with datadriven recommendations to optimize business strategies based on scenario analysis outcomes.
- Fulfill ad hoc data requests from stakeholders including creating lists reports and other data outputs as needed
- Ensure that ad hoc data analyses align with overall business goals and provide valuable insights for decisionmaking.
Requirements
- Bachelors degree in Data Science Computer Science Engineering or a related field
- At least three years of experience as a Data Analyst or in a similar role preferably in a SaaS environment
- Strong proficiency in SQL and data modeling
- Experience in working with relational databases and OLAP databases
- Experience with ElasticSearch Spark Hadoop or similar is a plus
- Strong knowledge of Python R and machine learning algorithms
- Experience with data visualization tools such as Tableau Power BI Mixpanel or similar
- Strong experience in cleaning and testing the data preparing the data for analysis
- Excellent analytical and problemsolving skills with strong attention to details
- Ability to work collaboratively with crossfunctional teams including Product Engineering and Marketing
- Fluency in Armenian and English
Benefits
You can get acquainted with the benefits from here
Bachelor's degree in Data Science, Computer Science, Engineering, or a related field At least three years of experience as a Data Analyst or in a similar role, preferably in a SaaS environment Strong proficiency in SQL, and data modeling, Experience in working with relational databases and OLAP databases Experience with ElasticSearch, Spark, Hadoop, or similar is a plus Strong knowledge of Python, R, and machine learning algorithms Experience with data visualization tools such as Tableau, Power BI, Mixpanel, or similar Strong experience in cleaning and testing the data, preparing the data for analysis Excellent analytical and problem-solving skills with strong attention to details Ability to work collaboratively with cross-functional teams, including Product, Engineering, and Marketing Fluency in Armenian and English