we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.
Requirements:
+2 years experience in data or business analysis roles, management, risk or financial consulting, business strategy, or relevant data operations roles in an international organization.
B.A/M.A/MBA graduate (Economics, Industrial Engineering, Management, Accounting, or similar) with an exceptional academic track record.
Experience analyzing data using complex SQL queries.
Experience analyzing data using Python (pandas, seaborn, etc.).
Excellent communication and presentation skills.
Proven experience in identifying and analyzing deficiencies, driving solutions and mitigations.
Very high level of English (verbal and written), including the ability to write and present articulated documentation and processes in English.
Ability to work in a fast-paced environment and get things done.
Ability to independently learn new subjects and understand the impact on the day to day of an existing organization.
Advantage
Experience in credit or other financial companies.
Proven experience in financial data modeling.
Experience in data visualization tools such as Looker / Tableau etc.
Experience in Fintech, or other relevant data-driven companies.
+2 years experience in data or business analysis roles, management, risk or financial consulting, business strategy, or relevant data operations roles in an international organization.
B.A/M.A/MBA graduate (Economics, Industrial Engineering, Management, Accounting, or similar) with an exceptional academic track record.
Experience analyzing data using complex SQL queries.
Experience analyzing data using Python (pandas, seaborn, etc.).
Excellent communication and presentation skills.
Proven experience in identifying and analyzing deficiencies, driving solutions and mitigations.
Very high level of English (verbal and written), including the ability to write and present articulated documentation and processes in English.
Ability to work in a fast-paced environment and get things done.
Ability to independently learn new subjects and understand the impact on the day to day of an existing organization.
Advantage
Experience in credit or other financial companies.
Proven experience in financial data modeling.
Experience in data visualization tools such as Looker / Tableau etc.
Experience in Fintech, or other relevant data-driven companies.
This position is open to all candidates.
