Granada
ph3Company Overview /h3 pExperian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify health care, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, including financial services, health care, automotive, agribusiness, insurance and many more industry segments. /p h3Job Description /h3 pYou will be part of a very dynamic and fast‑growing Analytics team at Experian Spain, and you will develop analytical solutions to the benefit of our clients and their customers. You will collect and analyze large datasets to uncover insights and create solutions that support organizational goals, in the field of credit life cycle, risk management, fraud modelling or marketing. Technical, analytical, and communication skills are needed to interpret data and influence decision‑making. /p h3Main Responsibilities /h3 ul liImplement processes to clean, transform, and organize raw data for analysis. /li liEnhance data delivery and automate manual processes to improve efficiency. /li liAnalyze large volumes of structured and unstructured data to identify trends and patterns. /li liCreate visual reports to clarify business pain points. /li liUse data/analytical platforms such as Databricks, Cloudera, Snowflake. /li liApply statistical techniques to validate findings and ensure accuracy. /li liDevelop machine learning models and predictive algorithms to solve business problems. /li liUtilize programming languages and domain‑specific tools for analysis. /li liCommunicate with clients and other departments/divisions within Experian to ensure accurate and timely implementation of project work. /li liIdentify potential problems in the end‑to‑end process and take ownership for the resolution. /li /ul h3Qualifications /h3 ul li2–3 years of experience in statistical or analytical project work, and/or experience in the financial services, telecommunications, retail, technology, or consulting sectors. /li liDegree or equivalent in a related field such as computer science, data science, statistics, mathematics, or information technology, physics. /li liHighly PC literate with thorough knowledge of statistical tools. /li liStrong proficiency in Python for data analysis, advanced analytics and automation, including Pandas, NumPy, and machine‑learning packages. PySpark, TensorFlow or PyTorch is a plus. /li liKnowledge of R, SQL, and SQL Server is highly valued as an additional asset. /li liExperience with cloud‑based data platforms (e.g., Databricks, Cloudera, Snowflake). /li liKnowledge of Power BI for creating interactive dashboards. /li liUnderstanding of statistical techniques to address client business issues. /li liAn innovative and inquisitive mindset focused on addressing and solving data and analysis problems. /li liFluency in written and spoken English. /li /ul h3Good to Have /h3 ul liKnowledge or hands‑on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval. /li /ul h3Benefits/Perks /h3 ul liGreat compensation package and bonus plan. /li liCore benefits including Private Health Care and Experian wellness program. /li liFlexible schedule, hybrid model of teleworking. /li liFlexible time off including volunteer time off, personal leaves and paid holidays. /li /ul h3Additional Information /h3 pExperian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. /p /p #J-18808-Ljbffr