Analytics Lead, Full Stack

Posted 19 days agoViewed

💎 Seniority level: Lead, 5+ years

📍 Location: Poland

💸 Salary: 285000 - 385000 PLN per year

🔍 Industry: Financial Services

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity almost 4 years ago🫂 Last layoff almost 2 years agoLending Financial Services Payments FinTech

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLAgileETLGitNumpySnowflakeData engineeringPandasAgile methodologiesAccountingDocumentation

Strong sense of ownership, intellectual curiosity, and creative, critical thinking skills.
5+ years of experience with database design, architecture, and modeling techniques.
Proficiency in cloud data warehouses, especially Snowflake, and data engineering using ETL tools like DataBricks and Fivetran.
Expert working knowledge of dbt, SQL, and Python.
Experience writing clean, efficient code for ETL processes and data manipulation.
Familiarity with production-level IDEs and version control systems like GitHub.
Experience with standard Python analysis packages such as SciPy, NumPy, and Pandas.
Preferred experience includes Snowflake databases, integration platforms, Agile methodologies, finance and accounting processes, and ERP tools like NetSuite.

Design and deliver relational and non-relational database models, data pipelines, reporting and visualization solutions.
Support all phases of the analytics development life cycle including requirements gathering, design, development, testing, and deployment.
Recognize and adopt best practices in data warehousing, reporting, and analysis.
Own and document data pipelines and data lineage.
Identify and troubleshoot data-related and reporting production issues.
Drive reporting automation and improvement opportunities.
Advocate for technology best practices.
Assist BI Lead in building complex queries and optimize data access.
Promote data governance, security, privacy, quality, and retention.

Posted about 1 month ago

📍 Poland

🧭 Contract

💸 285000 - 385000 PLN per year

🔍 Finance and accounting

Strong sense of ownership and intellectual curiosity.
5+ years of experience with database design, architecture, and modeling techniques in cloud data warehouses (Snowflake) and data engineering using ETL tools.
Expert-level working knowledge of dbt, SQL, and Python required.
Experience writing clean, efficient code for ETL processes and data manipulation.
Comfort with production level IDEs (Visual Studio), interactive IDEs (Databricks), and Version Control (git).
Experience with standard Python analysis packages (SciPy, NumPy, Pandas) preferred.
Experience with Snowflake databases and dashboards, Workato, and Agile methodologies preferred.
Familiarity with finance and accounting data, NetSuite ERP tool, and custom data application development using Python is a plus.

Design and deliver relational and non-relational database models, data pipelines, reporting and visualization solutions.
Support all phases of the analytics development life cycle (ADLC): requirements gathering, design, development, testing, and deployment.
Recognize and adopt best practices in data warehousing, reporting, and analysis.
Own and document data pipelines and data lineage.
Identify and troubleshoot data-related and reporting production issues.
Identify and drive reporting automation and improvement opportunities.
Help BI Lead build complex queries and optimize data access.
Advocate for data governance, security, privacy, quality, and retention.

PythonSQLAgileETLGitNumpySnowflakeData engineeringPandasAgile methodologiesAccountingDocumentation

Posted about 1 month ago

Posted 3 months ago

📍 Poland

🧭 Contract Of Employment

💸 285,000 zł - 385,000 zł per year

🔍 Finance

Strong sense of ownership, intellectual curiosity, and an ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment.
5+ years of experience with database design, architecture, and modeling techniques in cloud data warehouses (i.e. Snowflake) and data engineering using ETL tools (i.e. DataBricks).
Expert-level working knowledge of SQL and Python required.
Experience writing clean, computationally efficient code involving ETL processes and data manipulation via SQL and Python.
Experience using standard Python analysis packages (e.g., SciPy, NumPy, Pandas).
Comfort with production level IDEs (e.g., PyCharm, Visual Studio), interactive IDEs (e.g., Databricks, Jupyter), and Version Control (e.g., git, specifically GitHub).
Experience with dbt or similar data transformation tools, Looker or similar BI tools, Agile methodologies, Finance and accounting data and processes, Anaplan or similar EPM tools, and Excel modeling.

Design and deliver relational and non-relational database models, data pipelines, reporting and visualization solutions by supporting all phases of the analytics development life cycle (ADLC), including requirements gathering, design, development, testing and deployment.
Recognize and adopt best practices in data warehousing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation.
Own and document data pipelines and data lineage.
Identify and troubleshoot data-related and reporting production issues.
Identify and drive reporting automation, improvement opportunities and new capabilities/tools.
Be on the lookout for technology best practices and advocate for them.
Help finance analysts build highly complex queries; be a data access optimization guru.
Be an advocate for data governance, security, privacy, quality and retention.

PythonSQLETLGitNumpySnowflakeStrategyData engineeringPandas

Posted 3 months ago

🔧 Requirements