Data Analytics Associate Resume Samples

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NO
N Oberbrunner
Novella
Oberbrunner
799 Welch Roads
San Francisco
CA
+1 (555) 399 7755
799 Welch Roads
San Francisco
CA
Phone
p +1 (555) 399 7755
Experience Experience
05/2015 present
Phoenix, AZ
Ccb-mortgage Risk-data Analytics Associate
Phoenix, AZ
Ccb-mortgage Risk-data Analytics Associate
05/2015 present
Phoenix, AZ
Ccb-mortgage Risk-data Analytics Associate
05/2015 present
  • Advise management by assembling, interpreting and summarizing data, preparing reports, making presentations of findings, analyses and recommendations
  • Partner with Risk Community to provide Subject Matter Expertise on RMI & 3rd Party data
  • Support creation and maintenance of strong controls and governance frameworks around data and reporting
  • Document in a clear and concise manner all data sources developed for the Risk data analysis community
  • Perform impact analysis to assess impact of source changes in ICDW Teradata
  • Provide data/system expertise with rules and events associated with mortgages and the systems that support them
  • Participate in the collection, integration and analysis of data
06/2011 04/2015
Dallas, TX
RMD, Rmam, Data Analytics, Associate
Dallas, TX
RMD, Rmam, Data Analytics, Associate
06/2011 04/2015
Dallas, TX
RMD, Rmam, Data Analytics, Associate
06/2011 04/2015
  • Manage and create data related quality control checks for internal databases and provide resolution through analytic research
  • Providing thoughtful color and commentary regarding the performance of mortgage pools and key profit/loss drivers
  • Create, maintain, and present detailed information with respect to profit/loss, rate of return, cash flow, and performance of residential mortgage loans across multiple portfolios
  • Coordinate with Technology and internal departments to develop new GUI data interfaces, create new vendor data feeds, add enhancements to internal databases
  • Work with the Loan Trading and Asset Management groups to formulate views on the economics behind various asset servicing strategies
  • Ensure the flow of data underneath all of the analytics is accurate and correct. Working with mortgage strategies, technology, and cash operations to that aim
  • Manage file load process for vendor data feeds
04/2008 04/2011
Philadelphia, PA
Data Analytics Associate
Philadelphia, PA
Data Analytics Associate
04/2008 04/2011
Philadelphia, PA
Data Analytics Associate
04/2008 04/2011
  • Work with developers to create dashboards and detailed reports for key applications
  • Partner with leadership to develop new business analytics, providing unprecedented visibility to branch operations and their linkage to customer service levels
  • Working in our specialist forensic technology data analytics labs and onsite to help clients leverage knowledge from their data through the application of advanced analytics
  • Professional demeanor towards duties and responsibilities, particularly with regard to independence, professional ethics, and the exercise of professional judgment
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data exploration and insights results
  • Working on client engagement teams in carrying out both reactive and proactive data analysis of large volume of structured and unstructured data involving a wide range of database management systems and financial platforms
  • Drive usage of insights and the IntelliStor repository, working with business domain experts and application developers to identify data relevant for analysis
Education Education
Bachelor’s Degree in Mathematics
Bachelor’s Degree in Mathematics
Webster University
Bachelor’s Degree in Mathematics
Skills Skills
  • Advanced knowledge of Excel (macros, pivot tables, v-lookup) and SQL
  • Ability to present complex information in an understandable and compelling manner
  • Excellent problem solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions
  • Working knowledge of Business intelligence tools, ideally QlikView
  • Knowledge of statistical techniques and analysis (such as regression, clustering, sampling, social network analysis)
  • Knowledge of Python
  • Excellent problem solving skills
  • Good communication skills
  • Strong team working ethic
  • Excellent Communications Skills
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1

Data Analytics Associate Resume Examples & Samples

  • Working on client engagement teams in carrying out both reactive and proactive data analysis of large volume of structured and unstructured data involving a wide range of database management systems and financial platforms
  • Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and adversarial situations
  • Working in our specialist forensic technology data analytics labs and onsite to help clients leverage knowledge from their data through the application of advanced analytics
  • Support senior colleagues with operational and team related duties
  • Degree qualified with a 2:1 or above in Computer Science, Natural Sciences or Mathematics related degree
  • Strong track record of working in a similar analytics role
  • Experience of data extraction, analysis, cleansing, quality and manipulation skills for example
  • Experience of handling very large data volumes (incl. efficiency and scalability concepts)
  • Strong team working ethic
2

Data Analytics Associate Resume Examples & Samples

  • Contribute to recommendations on analytical products, services, protocols, and standards
  • Apply quality assurance best practices to all work product
  • Embrace guidelines to ensure consistency and high quality of JPMIS presentation materials in appearance, tone and style
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data exploration and insights results
  • 3+ years of working in large and medium project teams, as a contributing member in self-directed roles
  • Deep experience across the full range of database and business intelligence tools(SQL, SAS and Data Science toolsets, etc.); publishing and presenting information in an engaging way
  • Detailed orientation and a commitment to innovation
3

Data & Analytics Associate Resume Examples & Samples

  • The ability to make an impact on the firm’s day-to-day decision-making
  • An open office environment where you’ll work alongside coworkers from all levels of experience including management
  • A competitive salary with bonuses, plus excellent benefits with full coverage of health insurance premiums and 401k matching
4

Ccb-mortgage Risk-data Analytics Associate Resume Examples & Samples

  • Support documentation of business requirements, testing scripts creation and test script execution to deploy BCBS reports in target state environment
  • Support creation and maintenance of strong controls and governance frameworks around data and reporting
  • Support execution of testing strategy to validate data delivery thru migration and/or new business requirements
  • Project Planning skills along with strong facilitation and presentation skills
  • Bachelor's Degree in a quantitative field such as Mathematics, Statistics, Technology or Economics is required; Master's Degree preferred
  • 3+ years experience in financial services data or the equivalent
  • Knowledge of SAS, SQL, Reporting BI tools (Cognos, Tableau etc.) preferred
5

System & Data Analytics Associate Resume Examples & Samples

  • Focus on deep dives into data to find problems or trends, reduce unnecessary cost and/or increase ROI, support business decisions, and drive better business decisions
  • Work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions
  • Provide fact-based recommendations based on response attribution, budget, and multifactor analysis
  • Broad understanding and experience in analytics: business analysis, data stores, data architecture, and related analytical tools
  • Excellent problem solving and critical thinking skills
  • Practical working knowledge of one or more of the following software packages: MS Access, MS Excel, MS SQL Server or VBA
  • A Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or equivalent combination of education/experience. Strong math and analytical skills are needed
  • 1-3 years related experience strongly preferred
6

Data Analytics Associate Resume Examples & Samples

  • Provide accurate reports on Weekly Inventory Summary/Sales Summary to Vehicle Accessories Project Manager. Assist in the consolidation of similar reports from Europe and APAC for a global overview
  • Identify trends/seasonality in sales and consumption data to prepare forecasts
  • Minimize or eliminate manual steps and construct automated internal reporting system
  • Interact and collaborate with multiple internal operational teams
  • Monitor data integrity on accessory sale and consumption and resolve data/system issues with Data Analytics/IT division
  • Generate effective and insightful presentations and models to multiple audiences to drive the strategical product development and business development
  • Support and respond to urgent inquiries on accessories from other departments/divisions
7

Ccb-mortgage Risk-data Analytics Associate Resume Examples & Samples

  • Provide data/system expertise with rules and events associated with mortgages and the systems that support them
  • Investigates and troubleshoots data to ensures data integrity in ICDW Teradata
  • Perform impact analysis to assess impact of source changes in ICDW Teradata
  • Excellent organizational skills and attention to detail, and excellent data analytic skills
  • Participate in the collection, integration and analysis of data
  • Interface with IT, Risk, and other support staff
  • Translates stakeholder requirements into tangible deliverables
  • Analyze database in response to new functionality and summarize findings and implement recommendations
  • Partner with Risk Community to provide Subject Matter Expertise on RMI & 3rd Party data
  • Partner with the DMC/Data Stewards to ensure logic is correct, certified and approved for IT implementation
  • 2+ years ICDW experience (Preferred)
  • 3+ Teradata experience (Preferred)
  • 3+ years Mortgage Default Servicing experience (Preferred)
  • 3+ years Data Warehousing experience (Preferred)
  • 3+ years Data Analysis experience (Preferred)
  • 3+ years SQL Experience
  • 3+ years’ experience working in SQL Server, Oracle or Teradata environments
  • 3+ years Business Intelligence experience
  • 3+ years TOAD, SAS or Teradata SQL Assist experience
  • Must possess excellent analytical and problem solving skills
  • Self-starter, as well as the ability to work in a team environment as well as working independently
  • Strong analytical and problem solving skills with the ability to understand business and technical functions, process quickly and assess impact
  • Minimum of 1-3 years of Process Analysis / Process Improvement, MIS, Risk
  • Strong knowledge of banking / loan servicing systems (MSP,VLS)
  • Able to work in a fast paced, high processing volume with quick turnaround resolutions
8

Data Analytics Associate Resume Examples & Samples

  • Support the development of an end-to-end HR client segmentation & channel strategy
  • Model data, design reporting frameworks, write/refresh VBA macros, and create pivot tables to analyze data
  • Conduct what-if scenario and sensitivity analyses
  • Support the development of data trends and materials for presentations to senior stakeholders
  • Cultivate relationships and leverage corporate partners and firm-wide resources to achieve desired outcomes efficiently and with consistency across lines of business, where appropriate
  • In the start-up phase participate as an active participant in any and all start-up activities that the program team is working on
  • Minimum of 4-7 years of experience in the modeling, design, and implementation of large-scale programs
  • Strong Microsoft Excel and modelling skills, including fluency working in VBA, Macros, PivotTables, etc
  • Analytical skills, with ability to perform ad hoc analysis on large databases and refresh existing model
  • Strong logical, written and verbal communication skills and proven ability to work with senior management
  • Experience using dashboard, quantities analysis and disciplines
  • Highly motivated, results-oriented, and client-focused
  • Strong follow-up skills and proven attention to details
  • Demonstrated ability to manage multiple tasks and must be able to work independently as part of a small high impact team
  • Management consulting experience a plus
  • Must be able to prioritize workload and adapt to changing demands
  • Ability to establish rapport and relationships with internal and external clients
  • Knowledge of HR and / or one of the major LOBs preferred
9

Regional Data Analytics Associate Resume Examples & Samples

  • Support tactical stakeholder Ad-Hoc requests as assigned by your supervisor. Specifically, assembles, cleans, manages and provides analytics for procurement datasets in order to enable the derivation of data based insights
  • Summarize datasets through novel data mining exploration, and through the development of current and novel data visualization reporting techniques
  • Sustain Performance and analytical efforts as required in order to ensure the timely delivery of Performance and Analytics Service offerings. This includes the delivery of existing metrics such as global/regional spend, Diverse Spend, Savings, Supplier Enabled Innovation, Shaping the Supply Base (supplier optimization) as well as the delivery regionally relevant published Dashboards
10

Operational Risk, Data Analytics Associate Resume Examples & Samples

  • Daily qualitative review of risk data including internal/external incidents and Issues to identify risk themes and data quality issues
  • Producing fact pack, analysis and supporting documentation for TORs
  • Extracting and analyzing various operational risk data, such as incidents, metrics, issues and actions, scenarios, key controls and Risk Control Self Assessments (RCSA)
  • Presenting findings and analysis to support senior coverage teams’ decision making process
  • Driving market data research and collection from external sources for business environment and peer benchmarking analysis*LI-SC1
  • More than 5 years of working experience in international financial institutions or consulting firms, preferably in the discipline of Operational Risk, Operations or Finance
  • Advanced user of PowerPoint and Excel, VBA skill a plus
  • Ability to work in a team environment as an individual contributor
11

Data Analytics, Associate / Senior Associate Resume Examples & Samples

  • Contribute technically to Data and Analytics projects
  • Perform data integration and exploration to assess relevance of data
  • Handle the operational aspect of the analytics model adhering to the industry best practices and compliances by getting advice from managers
12

Data Analytics Associate Resume Examples & Samples

  • Develop code and technology solutions as directed
  • Consult in data analytics methods for internal project team
  • Prior experience with data analytics and data science projects
  • 3+ years of undergraduate coursework in data science or related field
  • Experience in analysis of problems that require computational solutions
  • Experience in data analysis
  • Experience in machine learning, natural language processing, recommender systems, predictive modelling, and data visualization
  • Excellent problem solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions
  • Superior interpersonal skills including courtesy, professionalism, and a cooperative attitude
13

Data Analytics Associate Resume Examples & Samples

  • Partner with leadership to develop new business analytics, providing unprecedented visibility to branch operations and their linkage to customer service levels
  • Leverage experience in statistics, modeling, segmentation, optimization, forecasting and demand mitigation to improve operational efficiency of Chase Retail Branch Network
  • Analyze, interpret and translate metric performance across functions and across different lines of business products
  • Advanced Mathematical Abilities: Proven ability to apply advanced mathematical concepts and develop simulation models to provide improved analytical insights to service based operations
  • Data Acquisition: 2 to 4 years of database experience with advanced SAS/SQL skills; experience researching and manipulating complex and large data sets
  • Data Analytics: Extensive experience leveraging analytical & statistical tools such as forecasting, segmentation, optimization and discrete event simulation for improving operational efficiency
  • Operational Acumen: Past experience (educational or professional) in operations research a plus
  • Attention to Detail: Must have a high degree of attention to detail, specifically in ensuring all reports are accurate
  • Analytical Rigor: Ideal candidate would be an analytical thinker with superior data analysis skills; synthesizing information across multiple platforms, systems, and organizations
  • Communication: Ideal candidate would be able to develop and deliver concise presentations that clearly articulate challenges, actions and results for complex matters - creating clarity and a bias for action with key stakeholders. Ideal candidate would be able crisply synthesize data into actionable insights for executive leadership
  • Intellectually Curious Self Starter: Must be able to operate in a self directed manner with little direction; must have a strong desire to take the initiative to deliver superior results
  • A Bachelor's degree in a quantitative discipline (Statistics/Finance/Mathematics/Operations Research/Engineering) is required
  • Graduate degree preferred
  • Advanced skills in Excel and Microsoft Office
14

RMD, Rmam, Data Analytics, Associate Resume Examples & Samples

  • Create, maintain, and present detailed information with respect to profit/loss, rate of return, cash flow, and performance of residential mortgage loans across multiple portfolios
  • Learning the methodology and mechanics of internal loan pricing models, being able to apply these models to existing inventory and potential acquisitions
  • Ensure the flow of data underneath all of the analytics is accurate and correct. Working with mortgage strategies, technology, and cash operations to that aim
  • Interface with risk controllers to ensure Goldman Sachs accounting systems match internal profit/loss expectations
  • Reconcile data discrepancies between external vendors and internal databases through analytics and research
  • Manage and create data related quality control checks for internal databases and provide resolution through analytic research
  • Fulfill ad hoc data requests
  • Define and model data pathways into databases and how corresponding business units can be affected by changes to data structure
  • Manage file load process for vendor data feeds
  • Strong academic background - 4 year related business, math, or accounting background with a minimum 3.0 GPA equivalent
  • Strong communication skills (clear, concise, and confident) with the ability to manage internal and external relationships
  • Proficient in SQL and excel
15

Market Data & Analytics Associate Resume Examples & Samples

  • Conducts analyses of healthcare market and responds to requests from stakeholders in Marketing, Sales, Account Management, and Product teams
  • Builds analytics apps (e.g., using Tableau, R, Salesforce Wave) that drive understanding of healthcare market segments, and assess quality/completeness of athena’s market data
  • Proactively identifies and evaluates new sources of healthcare market data (e.g., government data sources, 3rd party data vendors, primary research) and works to integrate these sources with existing market data
  • Proposes and executes projects for improving athena’s healthcare market data often working with Enterprise Technology and offshore teams
  • Works independently and with cross - functional teams to identify issues, research probable root causes, recommend and execute solutions to data related matters that address the accuracy, and completeness, of athena’s healthcare market data
  • Creates or contributes to reports that provide insight on healthcare market segments or that document athena’s healthcare market data
  • Strong quantitative background e.g
16

Operational Risk, Data Analytics, Associate Resume Examples & Samples

  • Producing fact pack and analysis for the senior coverage teams
  • Driving market data research and collection from external sources for business environment and peer benchmarking analysis
  • More than 5 years of working experience in international financial institutions or consulting firms
  • A solid understanding of operational risk management concepts such as risk assessments, scenario analysis, loss events etc. is required
  • A general understand of regulatory capital frameworks, such as Basel 2 and Basel 3. Hands-on experience with RCSA and Scenario Analysis is preferred
  • Strong interest in financial services and risk management
17

Category Management Data Analytics Associate Resume Examples & Samples

  • Responsible for building hybrid analytic solutions for category management using visualization techniques, foundational analytics, forecasting, statistics and economics
  • Responsible for developing business intelligence dashboard capabilities
  • Query and mine large data sets to discover patterns, examine data and filter for targeted information using appropriate techniques
  • Use advanced business analysis and appropriate analytic tools to support development and presentation of results through visualization and scenario generators
  • Work with and within cross-functional teams to identify appropriate business solutions to client challenges
  • Maintain good working relationships with clients to enhance customer satisfaction and work with client management and staff to perform engagement services
  • Experience manipulating datasets and applying analytic techniques
  • Experience using statistical packages, such as MATLAB, SAS, R, SPSS, SQL, or python
  • Knowledge of data visualization tools such as Qlik, Tableau, or Microsoft Power BI
  • Educational background in quantitative field such as economics, finance, statistics, mathematics preferred
  • Ability to obtain and maintain a security clearance
18

Data Analytics Associate Resume Examples & Samples

  • Provide data, reports and analysis on users and usage of JPMM platform and applications
  • Answer ad-hoc questions on metrics from various teams, both internal and external
  • Liaise between IT infrastructure, product owners and business teams to help streamline the processes of capturing, storing, retrieving and analyzing data
  • Run recurring tests to verify accuracy of data and consistently work to improve the quality of existing data sets and reports
  • Help IT infrastructure create automated reports in QlikView and other reporting tools, and write macros to organize data in ready to use format
  • Help create compelling data visualizations and dashboards
  • Work with developers to create dashboards and detailed reports for key applications
  • Working knowledge of Business intelligence tools, ideally QlikView
  • Advanced knowledge of Excel (macros, pivot tables, v-lookup) and SQL
  • Excellent Communications Skills
  • Knowledge of Jira or other project management tools
  • Experience in the financial markets
  • Bachelors or Master’s degree in Finance, Computer Science, Information Systems, or a related field, or equivalent work experience
  • Strong work ethic, self-starter who is creative with a ‘can-do’ attitude
  • Ability to handle multiple projects simultaneously and independently, while maintaining a high degree of communication and escalation
  • Team player comfortable working in a fast-paced environment
  • Excellent problem solving skills – as well as written and verbal communication
  • Quick learner with strong attention to detail
  • Ability to work with tight deadlines
  • Strong organizational skills, able to prioritize task
  • 2+ years of experience with Business Intelligence teams in large organizations, preferably in the financial services industry
19

Data Analytics Associate Resume Examples & Samples

  • Provide data analytics services to other professionals around the firm
  • Assist with design and implementation of new data analytics procedures
  • Provide recommendations for improving data analytics processes and procedures to improve effectiveness or efficiency of the data analytics group
  • Human relations skills to deal effectively with visitors, clients, staff, and/or co-workers in a professional manner
  • Professional demeanor towards duties and responsibilities, particularly with regard to independence, professional ethics, and the exercise of professional judgment
  • Must be reliable and able to meet deadlines
  • Strong organizational, time management and interpersonal skills
  • Associates degree or higher in accounting, mathematics, economics, business analysis or similar preferred
  • 3+ years’ experience with data analytics or a bachelor’s degree in a related field required
  • Working knowledge of CaseWare IDEA, RapidMiner, or ACL preferred
  • Working knowledge Python or R programming languages preferred
  • Working knowledge of Microsoft Office, Excel in particular, required
  • Ability to perform multiple tasks concurrently with ease and professionalism required
20

Metrics & Data Analytics Associate Resume Examples & Samples

  • Excellent problem solving and analysis ability
  • Proficient in gathering information, organizing and documenting complex business concepts
  • Proficient at using Microsoft product suite (Words, Excel, Access, OneNote, etc.)
  • Background in Statistics
  • Data quality experience and familiarity with commercial data quality software
  • Experience with Informatica or IBM Infosphere data quality tools
  • Familiarity with IBM Initiate, Workbench and/or Identity Management
  • Knowledgeable of or experience with data warehouse, graphical presentation of large dataset