Data Management Analyst

Company Description

Ready to make a difference? Experian has evolved into a global tech company and leader in data and analytics. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. We’re a constituent 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, talented people and innovation so we can help create a better tomorrow. To do this we employ ‘big-thinkers’ and ‘can-doers’ that share our purpose #uniquelyexperian

Job Description

Role Summary

The Data Management analyst will play an instrumental role in supporting ongoing projects related to data accuracy, consumer advocacy, related analytics, and automation. The analyst will work with stakeholders to identify opportunities for automation, business process re-engineering, and provide insights to improve data management.

Knowledge, Skills and Experience

• Critical thinking with the ability to identify and relate business problems to data quality issues. Ideal candidates should be able to consistently deliver high quality output in a fast-paced environment, handle ambiguity and prioritize multiple projects simultaneously.
• Expertise in SQL and one of the databases like SQL server, MySQL, or Aurora is required. Experience analyzing large datasets and familiarity with one of analytical tools like Alteryx, Python, SAS, R, or equivalent tool is required.
• Experience working with BI tools like Tableau, Qlik, and MS Office tools is strongly preferred. Experience working with automation frameworks like AA360, Selenium, Pyppeteer is strongly preferred.
• Prior experience in consumer credit or lending industry is preferred, but not required. Experience with Metro2 data quality, public records, credit inquiries and consumer disputes strongly preferred
• Experience with data modeling, machine learning, and tools like Python, Spark, Athena, Hive is desirable.
• Ability to navigate a rather complex business environment and willingness to learn new business processes, tools and techniques is needed. Attention to detail, project management and documentation experience is desired

Key Responsibilities

• Identify, analyze, and interpret trends and patterns in consumer credit and Ops processing data to help make business decisions
• Design new analytical workflows, processes, and/or optimize existing workflows with the goal to automate report generation and enable other analysts to self-service analytics.
• Convert high level business requirements into clear technical specifications, process flow diagrams, and queries.
• Effectively summarize, present actional insights and recommendations to the management team. Be a great story teller!
• Consult with internal clients on data quality issues and partner with them to set up remediation and monitoring programs
• Engage with internal teams like data operation, data governance, compliance, audit, product development, consumer assistance center and gather requirements for business process re-engineering and automation

Qualifications

Qualifications

• Bachelor’s or Master’s degree in Data science, Engineering, Computer Science, Information Management, Statistics, related field, or equivalent experience is required.
• 3 to 5 years of experience in Data Analytics roles
• Advanced English communication skills

What you'll bring

This role is critical for FSD CIS Data Management and to our organization’s success. By leveraging data insights and driving automation, this role will enhance decision-making, streamline processes, develop BOTs, and improve overall data management. This resource will primarily engage with data operations team to identify opportunities for automation, business process re-engineering to expedite processing of credit files from data furnishers, and provide day-to-day operational support for BOTs and Apps used by Data Management. Benefits and Impact: • Efficiency: Automation will reduce manual effort, allowing analysts to focus on strategic tasks. • Accuracy: Improved data management ensures high quality data and insights for consumers & clients. • Cost Savings: Streamlined processes and automation will lead to cost efficiencies.

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian’s strong 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.

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