As REED Turkey, we are looking for a "Finance Data Lead" with below requirements for our client in FMCG sector.
Qualifications
- Master’s in computer science, mathematics, statistics, actuarial sciences, econometrics,
- Upper Intermediate and above level of English,
- Min. 6 years of experience working with Data & Analytics, Finance,
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications,
- Expert with popular open-sourced tools e.g., Python, SQL, R, Scala, JavaHigh resilience,
- Forecasting & predictions leveraging statistics, machine learning etc,
- Advanced skills with Data Visualization tools e.g., Power BI,
- Ability to work with big data platforms specially Google Big Query,
- Well versed with Big Data Framework, Apache Spark, Hadoop Platform etc,
- Fluent with financial terms & definitions,
- Ability to work with ambiguity,
- Creating and/or contributing to a vision,
- Innovative, problem-solving ability.
Job Description
- Work closely with business managers to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers,
- Proactively analyse data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity,
- Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources,
- Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution,
- Understanding the business requirements so as to formulate the problems to solve and restrict the slice of data to be explored.,
- Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure,
- Collaborate with business analysts to help them come up with actionable, high-impact insights across product lines and functions,
- Establish KPIs to measure the effectiveness of business decisions & perform follow-up analysis,
- Carrying out issue identification and analysis techniques, such as pattern and root cause analysis, to help identify issues and propose solutions,
- Author technical requirements for IT developers to build new features and enhancements for business reporting tools.
- Develop features, functionality, and integrations that drive organic growth to our apps and information databases,
- Implement business rules for programmatic data validation by codifying market conventions and/or data relationships,
- Lead ad hoc projects to optimize processes and/or improve the quality of the data set,
- Implement International Business Communication Standards (IBCS) across organization.
