Top Data & Analytics Jobs
The Analyst role in Consulting Services focuses on client engagement for Marketing Solutions, leveraging analytics and quantitative analysis to provide insights. Responsibilities include conducting data investigations, visualizing findings, and helping clients understand data relations to business objectives.
The role involves working with the Consulting Services team to help clients adopt TruAudience products by analyzing data, identifying trends, and presenting insights. Analysts will support client engagements, conduct quantitative analyses, and effectively communicate findings to stakeholders.
As a Data Engineer at TransUnion, you will enhance and optimize analytics platforms. Your responsibilities include developing data applications, deploying analytics environments, collaborating on requirements, ensuring system availability, and troubleshooting issues. Proficiency in SQL, Python, and big data technologies is essential.
As a Senior Statistical Research Analyst, you will act as an analytical consultant, conducting research studies to solve business problems in the financial services sector. You will analyze large datasets using SQL, R, and Python, translate analytical findings into business insights, lead projects involving various analytical techniques, and deliver compelling communications for both internal and external audiences.
The Senior Statistical Research Analyst will act as an analytical consultant within the Financial Services sector, conducting research studies and providing insights based on large dataset analyses. Responsibilities include translating complex findings into business insights, leading projects using various analytical techniques, and communicating recommendations to both internal and external audiences.
As Principal for Alternative Data Products, you'll drive strategy, sourcing, and development of products leveraging alternative data for underwriting and risk assessment. You will manage global product strategies, integrate diverse data sources, and ensure compliance with privacy regulations, leading cross-functional teams to innovate and optimize product offerings.
Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Utilize big data analytical tools for data extraction. Develop machine learning algorithms for online and offline identity resolution. Work with statistical, data mining, and machine learning techniques to extract actionable information from data.
Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models. Generate insights using data query software. Provide training and mentorship to direct reports.
This role involves leading client meetings to understand requirements, delivering analytics solutions, building strong client relationships, collaborating with teams for high-quality analysis, deriving insights from data, and seeking automation opportunities to increase efficiency.
The Data Analyst will manage and deliver batch processing jobs, provide training to team members, handle quality control of outputs, assist in onboarding new processes, and contribute to process improvement initiatives while ensuring compliance with GDPR and corporate standards.
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