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Basic Qualifications:Bachelor's degreeMinimum of 4+ years of experience in Risk Management, Product Management for Credit Card or Debit CardPreferred Qualifications:Hands-on knowledge of Fiserv platforms and systemsMinimum of 4+ years of experience using data manipulation tools such as SAS, SQL, R, or Python, Business Objects, or other tools to query large databases and manipulate large data files.
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You have experience or a good understanding of:- Hadoop-based technologies like MapReduce, Spark, Hive, Presto and Pig- SQL-based technologies like Oracle, PostgreSQL and MySQL- NoSQL technologies like Cassandra and MongoDB- data warehousing solutions and relational database theory- industry-standard software APIs. You have good verbal and written communication skills and can translate technical subject matter to non-technical audiences.
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Data analytics experience (SQL, Looker Studio, Python) Minimum 6 years experience in Product Management, Product Operations, Management Consulting, and/or Strategy & Ops roles, with at least 2 years in fast growth startup environments.
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The primary focus of this role is to provide data-driven insights and analytical support to determine the impact of our philanthropic efforts and support our investment strategy across our CSR program to combat the cycle of poverty in the communities we serve.
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Proficient coding skills (Python/SQL), data visualization and database knowledge. 7+ years of relevant industry experience in positions with a focus on statistics, data science, measurement, marketing strategy & analytics.
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The primary responsibility of this role is to provide critical thought-leadership using data and analytics on Interest Rate Risk (IRR), Liquidity Risk, Funds Transfer Pricing (FTP), Valuation, and Financial Forecasting utilizing measures such as Net Interest Income (NII), Earnings at Risk (EAR), Economic Value of Equity (EVE), and other Key Risk Indicators.
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Proficiency in Python and SQL, data visualization tools (e.g., Tableau, Looker), and other business intelligence technologies (e.g., Alteryx). Bachelor's degree or equivalent practical experience in analytics, insights development, or strategy consulting" with proficiency in Statistics, Operations Research, Physics, Mathematics, or Computer Science.
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The Data Engineering Director, under the direction and supervision of the Chief Enterprise Data Officer, is a pivotal role in leading the development and execution of the advanced data engineering portion of the enterprise data strategy.
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As a Technical Project Manager, you will play a crucial role in driving the successful execution of marketing initiatives, leveraging your expertise in Martech tools, Salesforce CRM, Salesforce Marketing Cloud, Adobe Marketo, lead routing, privacy reviews, data strategy, lean data, lead upload lists, and basic knowledge of marketing automation.
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Strong familiarity and experience with analyzing clearly displaying and cataloging results with at least one data analysis tool, in a statistical analysis language or package such as Python, R, SPSS, STATA, or SQL, or Excel and Google Sheets (including pivot tables, vlookup, etc.
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Operating Systems, SQL and Oracle Databases, Email solutions, Data Centers, Virtual Machines, Internet Connectivity, VPN, Endpoint devices, Mobile Devices, email technology, etc. Banking Operations’ areas of focus are: Deposit Operations, Accounts Opening and Client Due Diligence, Payment Processing, Cards Operations and Servicing, Call Centers, and FinTech, Treasury Management Services, Corporate Functions - Fraud, Procurement, Corporate Real Estate, Community Reinvestment, Digital Channels, Marketing, and Product Strategy.
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3+ years of experience with data visualization, data management, data governance, data strategy, data policy , or data engineering. Experience with Micro sof t Power Query, Databricks, or SQL for data engineering.
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The Senior Data Engineer co-owns the data strategy and architects the right data platform to serve business needs. Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience must include 1 year of experience with each of the following: Data Governance and Data Management tools, including Collibra; maintaining financial databases using Salesforce and Excel; bank regulatory reporting processes to support data governance strategy efforts; implementing SQL test scripts to identify and solve data quality issues; conducting root-cause analysis of data quality issues; and Python, Sage Intacct, SharePoint, SQL, UAT, VBA, and WordPress.
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5+ years of experience in data analysis and data mining and visualization tools such as Python, R, SQL, Tableau, or similar. Stay abreast of the latest trends, developments, and best practices in process excellence and mining, and incorporate them into the enterprise strategy and operations.
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