
Lead Data Analyst
- Украина
- Постоянная работа
- Полная занятость
- Consolidate data from various domains and construct interactive dashboards
- Data modelling using dimensional (Kimall) approach
- Conduct ad hoc analyses as required with extensively usage of SQL
- Identify and address data quality issues (in reports)
- Work with our current data stack: Snowflake, dbt, AWS services
- Collaborate with teams from the Data Engineering, Analytics, Data Science teams to establish and maintain consistent use of business definitions in a source of truth tables, and recommend continuous improvement strategies.
- Provide clean data sets to end users, modeling data in a way that empowers end users to answer their questions.
- Transform, test, deploy, and document data using version control and continuous integration to the analytics code base.
- Design, develop, test, automate, and launch new dashboards and reporting solutions across the company.
- Maintain and support existing metrics, KPIs, reports, and dashboards.
- Work with the Analytics and Engineering teams to understand existing internal tools and data warehouses, identify data quality and reliability improvements, and establish best practices.
- Be able to explain technical work to non-technical audiences and translate business logic from stakeholders to technical work
- 5+ years of experience in Data Analytics.
- 1+ years of experience with dbt
- Advanced SQL skills with extensive hands-on experience.
- Experience leading data modelling activities and building models from scratch.
- Familiarity with Metabase, PowerBI, or other BI tools.
- Proven track record of translating data insights into business actions and taking full ownership.
- Proficiency with Python or R for data analysis and automation
- Previous experience with version control and continuous integration to a code base.
- Understanding of ETL/ELT processes and data pipeline orchestration.
- Experience with scheduling/report automation (e.g., using cron, AWS Lambda, or Step Functions).
- Knowledge of data security and governance within AWS.
- Train and provide technical mentorship to other data analysts/engineers
- Adaptable and able to thrive in a fast-paced, dynamic work setting.
- Strong organizational skills with keen attention to detail.
- Excellent communication, analytical and interpersonal skills.
- English - Upper intermediate or Advanced
- Familiarity with Snowflake
- Familiarity with Jupyter Notebooks or similar.
- Knowledge of data pipelines and workflow orchestration (e.g., with AWS Glue, Airflow, or Step Functions).
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits