Financial Process and Automation Specialist

About Mplus Türkiye Mplus Türkiye, one of the largest independent outsourcing providers in Türkiye, was founded in Istanbul in 2000. Following a merger in January 2020, it became the largest member of Mplus Group, which operates across 62 locations, serving 300 brands from 57 countries in 32 languages with 15,000 employees. The Mplus Türkiye team consists of approximately 10,000 personnel. Mplus Türkiye offers tailored solutions to its clients using AI-powered contact center technologies developed at its R&D center. While providing active solutions and consulting across all customer touchpoints, it manages projects in areas such as 24/7 technical support, customer service, collection management, social media, and back-office management. The company leads the way in next-generation customer management and satisfaction. About the Role The CFO Office – Data & Automation unit was established to unify multi-source data coming from finance, operations, human resources, CRM, and WFM systems into a holistic structure, improve data quality, and increase the level of automation in financial processes. This role plays a critical and accelerating part in the CFO office's digitalization strategy. The key focus areas include: Multi-system data integration Python / SQL / Visual Studio-based automation LLM-based explanation engines RPA processes Unstructured data processing & structuring KPI & variance analytics infrastructure Data modeling & data quality mechanisms The analytics and automation infrastructure to be developed within the scope of this role encompasses the following disciplines: Big Data & Business Analytics Descriptive / Predictive Analytics Machine Learning / Statistical Modeling Data Mining Big Data Technologies (SQL + NoSQL) Data Visualization Optimization & Process Analytics Responsibilities Integrate data coming from sources such as ERP, HRIS, CRM, WFM, operational logs, and Excel/CSV files. Develop data cleaning, transformation, and automated control mechanisms using Python and SQL. Create Power BI dashboards for KPIs, project profitability, variance analysis, and financial reporting. Process unstructured data (PDFs, emails, log files, OCR outputs) and convert it into analysis-ready datasets. Develop LLM-based financial narrative modules (e.g., automated variance explanations, anomaly justification, automated CFO notes, etc.). Reduce manual processes through Python and agentic AI tool-based automations. Identify process bottlenecks and design new workflows in collaboration with finance teams. Develop data models tailored to the analytical needs of the CFO office, enforcing data validation, quality, consistency, and access standards. Qualifications Bachelor’s degree in industrial engineering, Management Information Systems (MIS), Data Science, Statistics, Mathematics, Mathematical Engineering, Computer Engineering, Artificial Intelligence Engineering, or related analytical/technical disciplines Fresh graduate or 1–3 years of experience in data, analytics, automation, technology, or process-oriented roles Hands-on experience with SQL or Python Proficiency in data cleaning, transformation, and data wrangling processes Experience working with Power BI or similar BI tools Familiarity with statistical modeling and core ML concepts (regression, classification, clustering, etc.) Interest in artificial intelligence tools (LLMs, NLP, automation solutions) Proficiency in handling unstructured data Strong analytical thinking and problem-solving skills Intermediate-to-advanced English proficiency (reading, writing, speaking) Strong communication skills and a team player mindset