Finance Data Lead

İş tanımı

As REED Turkey, we are looking for a "Finance Data Lead" with below requirements for our client in FMCG sector.


  • 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.
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