Analytics Consultant at Experian

Beşiktaş, Marmara Region, Turkey -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Mining, Project Management, Stakeholder Management, Communication Skills, Analytical Solutions, Problem Solving, Data Analytics, Programming, SQL, Python, Statistical Analysis, Business Relationships, Presentation Skills, Leadership Skills, Negotiation Skills

Industry

Information Services

Description

Company Description Ready to make a difference? Experian has evolved into a global tech company and specialized in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish – and we're not done. Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, experienced people and new ideas so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian Job Description We are looking for Analytics Consultants to join our Experian Turkey Team! The role requires that you have a strong background in machine learning and data mining. A proven track record in project partnership and stakeholder management is essential. You will be a team player who is eager to both teach and learn on a daily basis, who is proactive and self-motivated and has excellent communication skills. Engage in a consultative way with Experian clients to identify problems and define, design, and deliver analytical solutions, Define and design solutions for the whole customer lifecycle and for regulatory parameter estimation and validation projects based on Experian Decision Analytics best practice solutions and present these to clients, Suggest market adequate solutions in the analytics and regulatory area and take responsibility for producing proposals, Demonstrate good project management skills and act as a project leader for delivering analytical projects, Prioritize workloads and provide mentoring and guidance to Data Analysts, Develop strong working relationships with managers and executives within client organizations to add value to client’s business and achieve project objectives, Seek out opportunities that help grow the business, Actively contribute to winning new business from new and existing customers – nurture and enhance existing client relationships; identify and progress opportunities to enhance existing solutions and cross sell other products and services, Identify opportunities to deliver analytical projects to clients and conduct feasibility studies in support of sales activities, Proactive and regular communication with Sales team to identify and progress on opportunities Qualifications Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Economics, Econometrics, Operational Research from top universities. Degree in Data Science is a plus. 3-5 years of work experience preferably in analytics and consultancy related areas. Proven experience of managing and delivering high quality data analytics. Excellent presentation, communication and negotiation skills. Strong organizational and leadership skills. Ability to cope and deliver excellent results in a high-performance environment. Ability to build and maintain solid long-term relationships Ability to work independently and proactively. Problem solver who proposes innovative solutions, able to shape and define solutions matched to requirements. Good knowledge and experienced in business unit products and operations especially in Banking and Telecommunications sectors (i.e. Credit risk management, Customer management experience, Data management, Basel Accord, IFRS9, Collections, etc.) Excellent PC skills, especially in MS Word, PowerPoint and Excel Experience in programming and data preparation (SAS, SPSS, SQL, proficiency in Python and preferably in some of R, Scala, C/C++ or similar). Good knowledge and experience with several learning techniques such as clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting. Fluency in written and spoken English Experience in achieving and being tracked on financial targets is a plus Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical 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 their 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. Experian Careers - Creating a better tomorrow together Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Responsibilities

Engage with clients to identify problems and deliver analytical solutions while managing projects effectively. Develop strong relationships with client organizations to add value and achieve project objectives.