Analytics Associate Resume Samples

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Experience Experience
Detroit, MI
Analytics Associate
Detroit, MI
Boehm, Aufderhar and Ryan
Detroit, MI
Analytics Associate
  • Assist in the development of analytics program scopes and budgets for new programs
  • Assist in the setup, management and reporting of brand owned social channel, earned social and site tracking – including data exporting and analysis
  • Fun, high-energy personality. Great team player who works well in collaborative situations
  • Manage their time effectively within complex projects
  • Roll up your sleeves and personally execute high-value analyses on occasion
  • Working with clients to extract data from financial reports and records
  • Participate in developing customized, deep analytical solutions for clients
Boston, MA
Decision Analytics Associate
Boston, MA
Roberts Inc
Boston, MA
Decision Analytics Associate
  • Define financial and analytic metrics to measure development and production outcomes and produce performance reports
  • Develop and apply advanced statistical models that help clients understand dynamic business issues
  • Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands
  • High motivation, good work ethic, maturity and personal initiative
  • Derive and develop transaction attributes to grow analytic products
  • Work on cross functional teams and collaborate with internal and external stakeholders
  • Aptitude for, and enjoyment of, working in teams
present
Chicago, IL
Solutions, Client Analytics, Associate
Chicago, IL
Becker Group
present
Chicago, IL
Solutions, Client Analytics, Associate
present
  • Demonstrated passion and enthusiasm for the asset management and risk management industry is essential
  • Assist Aladdin Implementation Managers onboard clients to the Aladdin platform
  • Work with clients to prioritize strategic and tactical analytical projects and discuss our strategic analytics product development plans
  • Stay current on client risk management techniques and portfolio management styles
  • Support the full capabilities of BlackRock’s proprietary analytics to investment and risk professionals through modeling and reporting capabilities to help users understand their security and portfolio level exposures
  • Assist Business Development team in sales pitch processes by presenting analytical tools and cutting edge functionality
  • Provide analytical support on a wide range of portfolio and security types using proprietary analytics and tools
Education Education
Bachelor’s Degree in Finance
Bachelor’s Degree in Finance
Northwestern University
Bachelor’s Degree in Finance
Skills Skills
  • Experience with Access, SQL and a statistical package (e.g. SAS, R) is a strong
  • Work experience with analytical tools, e.g. Tableau, Qlik, SiteCatalyst, Google Analytics or Microstrategy, is a strong
  • Arqyreqta Lukman, Loyalty and Retention -“In Grab I feel a warm & friendly work atmosphere that nurtures the passion of our daily engagements. Grab taught me how to deal with our stakeholders in a way I’ve never done before, pushing me out of my comfort zone. I know there's a lot more to learn, and I am looking forward to the challenge!”
  • Learn more about our culture, benefits, and perks
  • Follow Thumbtack on LinkedIn
  • Lead analysis into key performance metrics. Discover – and then quantify – drivers and levers through collaboration with internal teams and your own data analysis. Translate your findings into what is relevant at a business level, and present to internal or external stakeholders. Your analysis will help athena make important decisions about product innovations, and will help providers optimize their business by using our products effectively
  • Deliver transparency into performance via monthly reports. You will translate findings from the discovery phase above into regular root cause analysis into what is driving a metric. You will uncover and quantify issues that are driving performance up or down, and work with your internal network of product experts to suggest solutions or next steps
  • Participate in and lead substantial research and analysis projects that span a variety of topics across athena’s operations, finance, product, and performance teams
  • Develop a “trusted advisor” reputation across athenahealth. Serve as liaison to internal/external stakeholders on complex industry changes such as value-based reimbursement and the transition to ICD-10
  • Experience working with large datasets
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15 Analytics Associate resume templates

1

Client Analytics Associate Resume Examples & Samples

  • Develop close partnerships with clients to build highly effective relationships to understand and solve problems
  • 1 – 2 years professional work experience, ideally within the financial services industry or similar
  • Strong interest in financial analytics and its applications in the investment and risk management process
  • Demonstrated passion and enthusiasm for the asset management and risk management industry
  • Desire to work in closely with internal partners and key clients in a manner that deepens relationships and further demonstrates value of the analytical tools
  • Creative, analytical problem solver who’s comfortable with using a wide range of technology
  • Sets high standards for own performance, willingness to take on additional responsibilities quickly
2

Client Analytics Associate Resume Examples & Samples

  • Manage overall client relationships with goal of maintaining a high level of overall client satisfaction
  • Provide client support for key BRS analytics tools. Respond to analytics questions and co-ordinate projects working with multiple internal teams. Projects can range from short term reporting enhancements and training initiatives to longer term implementation on-boarding new clients
  • Actively manage analytic-related client communications – e.g., model releases and enhancements
  • Contribute to business development efforts by participating in RFPs / RFIs and prospect demos
  • Guide junior members of team
  • Outstanding business achievements at his/her firm and demonstrated strong leadership qualities
  • Strong interest in multi-asset risk modeling and asset allocation
  • Keen client-focused spirit and willing to take on additional responsibility
  • Undergraduate or higher degree in Business Management, Financial Engineering, Finance, Mathematics, Computer Science or some other quantitative field of study
  • Minimum of 7 years relevant experience. Knowledge of various Aladdin tools and their underlying analytical models is desirable. Strong subject matter expertise in any asset class – equity, fixed income, alternatives - desirable. CFA designation is desirable
3

Client Analytics Associate Resume Examples & Samples

  • Exceptional computer, data and analytic skills as they apply to the operation of financial institutions
  • Some general market knowledge as it relates to trends in pricing, industry strategies, and regulation
  • Enthusiastically analystical mindset
  • Strategic and global mindset
4

Digital Analytics Associate Director Resume Examples & Samples

  • Utilize data to drive media performance by informing media plans and optimization strategies. Implement a data driven media planning and optimization infrastructure
  • Utilize all relevant data and technology to drive test & learn agenda in order to improve performance of both DR and awareness/consideration initiatives
  • Uses analysis to identify the key touch points/factors that drive business decision-maker behavior and make recommendations that will drive media strategy, creative and site optimization
  • Uses knowledge of advertising and digital media to deliver client-specific analyses including: campaign performance projections and analysis, customer segmentation and profiling, retention analysis, lifetime value analysis, and competitive market research
  • Performs ongoing analysis to ensure the timely adjustment/optimization of campaigns
  • Identify key measures, approach and methodologies to track digital (online, interactive) marketing campaign success against clients / business objectives / develop advertising test design including hypothesis development, cell design and sample size calculation
  • Design and manage measurement systems for data capture and reporting
  • Knowledge of syndicated media research & systems (Nielsen, comScore, MRI, Scarborough). Familiarity with DoubleClick DART. Must feel comfortable learning new systems and tools
  • Experience with statistical analysis software products, research design, and a track record of implementing data and analytics driven solutions that impacted the bottom line
  • Knowledge of web measurement technologies
  • Ad serving platforms (e.g. DART)
  • Website analytics software (e.g. Omniture SiteCatalyst, Google Analytics (Premium), Test & Target, Discovery, Monetate)
  • Experience with multi-touchpoint attribution implication, application, methodology and technology (vendor)
  • Knowledge of statistical software packages (e.g. SPSS, SAS)
  • Paid search engine marketing data sources (e.g. Google, Overture/Yahoo, DART Search, Efficient Frontier)
  • Database analysis skills: SQL
  • Web Dev: JavaScript
5

Analytics Associate Resume Examples & Samples

  • Scoping the nature of projects to be undertaken
  • Working with clients to extract data from financial reports and records
  • Delivering range of analytics in written and presentable formats
  • Successful candidates will have experience in the following
6

Analytics Associate / Executive Resume Examples & Samples

  • Analysing complex data and designing tools to do so
  • Deal well with high pressure situations
  • Manage their time effectively within complex projects
  • Influence stakeholders and build a variety of internal and external relationships
7

Payments Analytics Associate Resume Examples & Samples

  • Key participant in creating an information & data insights strategy for IPSG
  • Execute analytical projects as an individual contributor
  • Develop and plan required analytic projects in response to business needs.Contribute to the design, build, and maintenance of a searchable repository of insights and a self-service portal to the IntelliStor repository
  • Drive usage of insights and the IntelliStor repository, working with business domain experts and application developers to identify data relevant for analysis
  • Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis
  • Apply quality assurance best practices to all work product
  • Embrace guidelines to ensure consistency and high quality of JPMIS and IPSG 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
  • 2+ years of working in large and medium project teams, as a contributing member in self-directed roles
  • Experience in data mining, quantitative research techniques, theories, principles, and practices
  • Experience and willingness to learn 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
  • Recent experience in assessing and sourcing data needs
  • Familiarity and experience with data preparation and processing – such as assessment of data quality, new variable creation, variable selection, etc
  • Detailed orientation and a commitment to innovation
  • Experience with industry leading Analytical, Data Processing and Business Intelligence tools and techniques for application in a big data environment
  • Ability to present complex information in an understandable and compelling manner
  • Bachelor's or Advanced Degree in Information Management, Computer Science, Mathematics, Statistics, or related fields desired
  • Financial Services background or experience preferred
8

Decision Analytics Associate Resume Examples & Samples

  • Build predictive models with artificial neural networks and advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience
  • Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models
  • Define financial and analytic metrics to measure development and production outcomes and produce performance reports
  • Propel analytic product development via conducting statistical analyses on various data sources; and add values to products by innovatively applying the analysis
  • Conduct transaction data analyses with Hadoop and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
  • Secondary Responsibilities
  • Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands
  • Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs
  • Derive and develop transaction attributes to grow analytic products
  • Work on cross functional teams and collaborate with internal and external stakeholders
  • Promote analytical innovations and analytic education throughout the Visa organization
  • 2+ years overall work experience
  • MS in Statistics, Mathematics, or other related field
  • 2 years of experience with developing predictive statistical models
  • 2 years Hands-on experience with SAS required
  • Proficient with UNIX based systems
  • 2 years of experience with other modeling/statistics languages and tools recommended (R, Python, TreeNet, Hadoop, etc)
  • 2 years of experience with relevant modeling technologies (Neural Networks, Random Forests, etc)
  • Proficient with SQL
  • Java experience is strongly recommended
9

Client Analytics Associate Resume Examples & Samples

  • The incumbent will have no direct account responsibiity, but will develop and utilize relationships from a diverse set of internal platforms to gather a holistic view of any topic. The incumbent will be primarily responsible to the Head of GTCM/ICM
  • Business reporting and analytics: The Client Analystics Associate must be able to work with large volumes of data and be able to quickly and efficiently distill this information into summary reports for use by senior management. Reporting responsibilities include, but are not limited to, monthly income statement and quaterly balance sheet analysis, preparation of material by business segment for quarterly Town Hall Presentations, and ad hoc Operating Committee reports. The Client Analystics Associate will ensure that all account coding is completed accurately, that annual business plan development and ongoing updates are coordinated and completed
  • Balance of Trade Committee Coordination: The incumbent will coordinate Balance of Trade activities including the writing, distribution and vetting of minutes from each meeting and other tasks as assigned by his/ her manager
  • Bank Industry Operating Committee Coordination: Serve on a rotating basis as Secretariat to the IOC, ensuring that Single Name Limit requests submitted to IOC are properly distirbuted, that findings of the IOC are properly recorded and that items in need of adjudication by the IOC are properly escalated
10

Risk & Portfolio Analytics Associate Resume Examples & Samples

  • Advanced knowledge of Bonds, Loans, Asset Backed Securities, Credit and Equity Derivatives
  • Understanding of Financial Credit Metrics like leverage, interest coverage and enterprise coverage
  • Working knowledge of Portfolio Accounting as it relates to investment Profit and Loss and Portfolio Performance
  • Proficiency in Microsoft Excel, Microsoft PowerPoint, and Bloomberg
  • Experience with Black Mountain Everest, SunGard VPM, and MicroStrategy
11

Portfolio Analytics Associate Resume Examples & Samples

  • Risk Management - VAR analysis, stress testing, exposure analysis, risk attribution
  • Performance Measurement – performance attribution across time at multiple levels of granularity, including by country, region, sector, FX exposure and factor
  • Client Transparency Reporting – Using our patented Stratum reporting platform
  • Strong interest in building technology solutions
  • Good understanding of securities mathematics and finance
  • Work experience in the Financial industry in portfolio analysis or related field
  • CFA, FRM, CAIA holder a plus
  • Must be a good team player and communicator
12

Expense Management & Analytics Associate Resume Examples & Samples

  • 2 to 3 years of relevant work experience, preferably in financial services industry
  • Bachelor's degree required; Accounting, Finance or Economics majors preferred
  • Very Strong PC skills and / or aptitude, specifically Excel and PowerPoint; Essbase is a plus
  • Organized and detail oriented
13

Risk Analytics Associate Resume Examples & Samples

  • In-depth knowledge of mathematical finance, derivatives pricing, and numerical techniques for derivatives valuation (Monte Carlo simulation, partial differential equations, numerical analysis, probability theory, etc.)
  • Minimum 1-3 years of experience (either model development or model review with a financial institution) with interest rates & FX pricing models, and good understanding of model risk control and measurement
  • Experience with equity/credit/FX hybrids pricing models along with knowledge in structured notes modeling is preferable
  • Masters or Ph.D. degree in Finance, Economics, Mathematics, Mathematical Finance, Physics, Engineering, or a related quantitative field
  • Excellent verbal and written communication skills in English. Has the ability to effectively communicate & work with model developers, risk managers, financial controllers, IT, internal audit and regulators
  • Detail-oriented, ability to think out-of-box, and provide effective challenge to models. Ability to think clearly, and has good business sense & judgment
  • Ability to program pricing models for derivatives is preferable (MATLAB, Python, C++)
14

Risk Analytics Associate Resume Examples & Samples

  • Provide independent review and validation of internal rating scorecard methodologies for both PD and LGD ratings. This requires thorough statistical analysis of the underlying data, such as regression and discriminant analyses, and understanding of the various risk factors that impact the credit quality of an obligor and loss attributes of a facility
  • Provide independent review and validation sign off of the methodology and parameter estimation of EAD models
  • Provide independent review of CCAR/DFAST stress testing models
  • Closely work with other teams within Credit Department to provide regular ongoing model performance assessments. Review analysis results with senior management and provide recommendations
  • Write high-quality model review documentation that satisfies the firm’s internal model approval functions, audit requirements, and the Firm’s regulators (e.g., FRB, OCC, and PRA)
  • Advanced degree (PhD or MS) in a quantitative discipline (e.g., statistics, economics, finance, physics, math)
  • Statistical skills especially in the area of hypothesis testing, regression and discriminant analyses
  • Programming skills in a high-level language such as Matlab, R or SAS
  • Previous experience interacting with regulators
  • Hands on experience with credit risk models, in particular, experience with A-IRB internal risk rating model development are highly desirable
15

CIB F&BM Liquidity Analytics Associate Resume Examples & Samples

  • Conduct BAU and ad hoc analysis on CIB balance sheet pertaining to APAC LOBs and Legal Entities, analyze the key drivers of change period over period variances and provide commentary
  • Utilize knowledge of financial products, apply a deep understanding of regulatory guidelines (Basel III, legal entity LCR, stress test) and main measurements (LCR, NSFR) to determine their potential impact for the CIB
  • Interact and partner with senior CIB Treasury and business leadership, Controllers, Corporate Treasury, Liquidity Risk Oversight and other related areas to obtain, understand, and analyze information in relation to balance sheet and liquidity implications for the CIB
  • Work independently and collaboratively and establish close partnerships with key CIBT stakeholders
  • Perform regular key reconciliations of MI/balance sheet and GL and explain variances
  • Keep up-to-date on regulatory developments impacting CIB Treasury
  • Participate on the ongoing process improvements, optimization and rationalization efforts related to CIB APAC Balance Sheet and Liquidity
  • Bachelor degree required, minimum 2+ years of working experience in Finance with emphasis in analytical work
  • Strong analytical, creative thinking and problem solving skills. Comfortable in building models and managing large amounts of data and identifying takeaways
  • Good understanding of finance and financial markets
  • Strong interpersonal and communication (verbal and written) skills. Ability to present information in a clear, concise and effective manner
  • Ability to work effectively with senior management
  • Organized and able to execute responsibilities with limited supervision and taking ownership of tasks at hand
  • Solid work ethic, good business sense, and demonstrated initiative
  • Ability to work under pressure, prioritize multiple tasks and bring them to completion
  • Strong computer skills, particularly in Excel, PowerPoint, Word and Access
16

Credit Analytics Associate Resume Examples & Samples

  • Performs data collection and analysis in support of credit risk project activities
  • Researches and analyzes data obtained through financial statements, Bloomberg, debt rating agencies, and other economic sources
  • Develops and prepares spreadsheets, databases, reports, and presentations
  • Assists with the development and execution of key credit risk management activities, including profitability analysis, loan loss reserve, leveraged lending, and other concentration management
  • Interacts with Senior Management, Audit, Loan Review, other internal departments and bank regulators as needed
  • Principles of banking and finance
  • Understanding and documenting business process workflow and control points
  • Researching, interpreting and analyzing basic financial statements
  • Reading, interpreting, analyzing and applying information from credit reports
  • Maintaining documentation files
  • Preparing and delivering oral and written presentations and reports
  • Organizational and time management skills sufficient to prioritize workload, handle multiple tasks, and meet deadlines
  • Manage multiple tasks with changing priorities to meet deadlines in a fast paced environment with constant interruptions
  • Build solid, effective working relationships with others
  • Partner with others to accomplish objectives
  • Bachelor’s Degree (B.A.) in a related field or equivalent financial industry experience
17

Portfolio Analytics Associate Resume Examples & Samples

  • Compilation and review of content and timely completion of quarterly client and external marketing: Flash reports; Portfolio Quarterly reports (data aggregation, analysis, and client communication including the investor letter and any follow-up correspondence and associated requests); Portfolio/property level return files leverage and unleveraged; Client Presentations; Response to marketing requests as needed (including quarterly client questionnaires); Compilation and review of the content of and timely completion of quarterly fund level reporting
  • Internal reporting: compilation of pertinent debt schedules, loan covenant reports, appraisal scheduling with NVC, GIPS valuation testing, requests to/from asset managers, debt appraisal reviews, asset appraisal reviews, Investment Committee risk reviews, etc
  • External reporting: will involve oversight of client/consultant reporting requirements, etc
  • Compilation and review of Annual Business Plan - a written and graphical summary of the accounts acquisition, disposition, and debt plan for the coming year
  • Compilation and review of fund-level projections regarding returns, capital needs, leverage, revenue, fees, guaranties. Use of portfolio excel models and various internal information systems to determine changes to relevant metrics (Liquidity, LTV, Non-Core, returns, sector allocation, diversification, etc) under a given set of scenarios and sensitivities
  • Compilation of property budget components in order to derive the fund performance return projections
  • Ad hoc portfolio level requests
  • Production of Portfolio Suitability Sheets (distributed at Investment Committee meetings)
  • Responsible for portfolio cash monitoring and Sources and Uses of all cash
  • Responsible for Debt maturity monitoring and reporting
  • Information Management System Initiatives focused on improving the current Resolve, Request and Tableau systems as well as exploring and testing new system applications that will improve overall automation of data management
  • Support asset managers and take on specific assignments when needed
  • Bachelor's degree in Finance or Accounting required
  • Minimum 5 years experience in a finance or accounting related discipline with a minimum of 2 years experience in the real estate investment industry
  • Understanding of basic real estate terms and concepts such as net leases, gross leases, contract rents, percentage rents, operating expenses, capital expenditures, recovery of expenses, property types
  • Understanding of basic finance concepts such as NOI returns, cash flow returns, internal rate of return (IRR), present value/discounted cash flow
  • Ability to work on a team and work independently
  • Strong organizational skills and attention to detail with ability to manage multiple projects and staff, simultaneously
  • Computer proficiency with a strong working knowledge of the suite of Microsoft Office applications, most particularly Excel
  • REIT/Tax knowledge a plus
18

Risk Analytics Associate Resume Examples & Samples

  • Develop and implement data aggregation systems that focus on data integrity and statistical relevance
  • Design management level reporting information systems
  • Analyze and interpret large data sets and effectively communicate findings to senior management
  • Challenge current processes and work cross functionally to drive change
  • Work across multiple business segments to migrate/upgrade current data platforms
  • Comply with regulatory requirements
  • Experience with commercial lending space with a focus on decision technologies and credit platforms
  • Bilingual (English/French)
  • Comfortable working independently or in a team environment depending on project requirements
  • Strong analytical and controllership skills
  • Detail oriented strong people skills and customer-centric mindset
  • Well organized; ability to manage several deliverables and meet strict deadlines
  • Experienced working with SQL and SAS
19

CIB F&BM Treasury Banking Modeling Analytics Associate Resume Examples & Samples

  • Perform in-depth data analysis, using statistical and machine learning techniques, to creatively build predictive or explanatory models
  • Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner
  • Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury
  • Develop metrics and statistical model prototypes that can be used to drive business decisions
  • Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives
  • Participate on the ongoing process improvements, optimization, and rationalization efforts
  • Bachelor degree in computer science, math, statistics or economics. Must have a genuine interest in learning about finance; prior experience in the industry is preferred, but not required
  • Strong interpersonal and communication (verbal and written) skills is a must. Ability to present information in a clear, concise and effective manner to a wide variety of audiences
  • Strong problem solving skills and statistical intuition; preferably experience with machine learning. Comfortable in working with and interpreting large amounts of data
  • Proven experience programming in Python, R, or any other statistical/numerical programming language
  • Passionate about tackling difficult questions, conducting data analysis, and crafting a cohesive story from results
  • Experience collecting, aggregating and curating structured/unstructured datasets from various sources
  • Must be versatile, able to work effectively independently or as part of a team on multiple projects simultaneously
  • Self-starter, able to organize and execute responsibilities with limited supervision, taking ownership of tasks at hand
  • Ability to work under pressure, rapidly prototype solutions, prioritize multiple tasks and bring projects to completion
20

Modeling & Analytics Associate Resume Examples & Samples

  • Driving the design and execution of analytical processes within engagements, working in concert with practice area professionals, engagement managers and other engagement team members (e.g., work on a project team responsible for developing a suite of stress testing models for a large European bank, covering the end-to-end process from onboarding millions of records of historical loan portfolio data to building comprehensive balance sheet models for review with bank and regulatory stakeholders, ultimately impacting capital decisions)
  • Providing capital markets content, including asset class expertise and trade execution capabilities, across engagements, leveraging direct and Firm resources (e.g., provide liquidation cost analysis related to a portfolio of complex, structured securities in support of a Client’s strategic divestment initiative, valuing and managing the wind-down of a Client’s non-core portfolio of structured assets)
  • Helping drive commercial momentum across all aspects of FMA, playing a key role in client solicitations and product development (e.g., be an active stakeholder in all aspects of client-level dialogue – including executive level interaction – related to FMA’s analytical capabilities and asset class / product suite)
  • Serving as the central point of coordination with the BRS Financial Modeling Group (“FMG”) and the Portfolio Analytics Group (“PAG”) with respect to project design, execution, and delivery, as well as strategic deployment and coordination of resources (e.g., develop a deep understanding of analytics, modeling, and technology at BlackRock while building a broad network across the firm)
  • Providing oversight on the quality of all analytical deliverables across the department, through the development and execution of a consistent quality assurance process
  • Play a hands-on role in client project execution for customized modeling engagements and model validation advisory assignments – working in close collaboration with FMA engagement teams – by participating in model development and data analysis
  • Implement procedures and standards for modeling content and related documentation supporting project needs, and clients’ business and model validation requirements
  • Work directly on project teams to support state of the art custom model development (including relevant analytics and reporting) and accompanying model documentation to fulfil clients’ business and model validation requirements
  • Provide support for business development, lead qualification and strategic product development for all projects with a custom model estimation or model validation component
  • Develop expertise in FMA modelling and analytics capabilities, staying current on latest developments and trends
  • Support technical writing efforts for modelling and other IP documentation
  • Collaborate with FMG, Risk and Quantitative Analysis (RQA) and other related teams at BlackRock for model development, model risk management and documentation best practices and approaches as well as on any validation-related topics pertaining to BlackRock’s proprietary models (e.g. Aladdin)
  • Serve as subject matter authority on FMA model validation expertise, staying current on latest sector-specific regulatory guidance, industry best practices, developments and trends
  • 1-4 years of professional experience either in developing and/or validating models using underlying methodologies relevant for FMA projects (e.g. statistical, behavioural)
  • Experience with several scripting, data management, and / or visualization tools / programming languages, e.g. VBA, R, Python, SAS, and SQL – Knowledge of SAS and 1 more language a plus
  • Strong technical writing skills and ability to communicate, verbally and in writing, analytical concepts to a range of client and internal audiences
  • Background in financial services ideal; publications or experience in consulting a plus
  • Strong attention to detail; action-oriented attitude; and willingness to roll up sleeves
  • B.A. / B.S. or significant coursework in an engineering, technical, and / or quantitative discipline: Computer Science; Math; Statistics; Operations Research, Engineering; Physics
21

Regional 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
22

Analytics Associate Resume Examples & Samples

  • Participate in developing customized, deep analytical solutions for clients
  • Providing status updates to clients and team members on a regular basis
  • Using information gained through prior experience, knowledge sharing with other Analytics and Optimization Associates, education and training to resolve issues and remove project barriers
  • Knowledge of database marketing and data mining, relational database concepts, analytical and modeling skills
  • Experience with Microsoft Excel and/or other data analysis tools such as Microsoft Access
  • Experience with advanced statistical packages such as SPSS or SAS (preferred)
  • Bachelor degree in related field
23

Decision Analytics Associate Resume Examples & Samples

  • Develop and apply advanced statistical models that help clients understand dynamic business issues
  • Leverage analytic techniques to use data to guide client and ZS team decision-making
  • Use tools like R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs
  • Synthesize and communicate results to clients and ZS teams
  • Collaborate with client and ZS teams to implement solutions
  • Take immediate responsibility for project deliverables
  • Candidates should be about to enter the final year of a bachelor's or master's degree in any discipline with strong academic performance in quantitative and analytic coursework, such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering
  • Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA
  • Empathy, adaptability and emotional intelligence
  • Strong attention to detail, with a quality-focused mindset
  • Self-discipline for planning and organizing tasks
  • Aptitude for, and enjoyment of, working in teams
24

Risk Analytics Associate Resume Examples & Samples

  • Play lead role in unit in determining which analytical tools can be used to assess and quantify risk for specific product or assets
  • Determine applicability of varied statistical and mathematical tools to analyzing the risk of varied financial products, assets and transactions. Confer with less experienced staff and provide guidance
  • Conduct analysis or application of model on variety of products or assets, including larger or more complex mortgage backed securities or derivatives
  • Report results for more specialized or custom analyses or reports
  • Track academic research in quantitative modeling used to measure risk for financial assets
  • Assess analytical tools currently in use in the unit and scan business and academic sources for alternatives; test these and suggest their use in the unit, if feasible
  • Bachelor's degree with at least 6 years of relevant experience, or Master's degree with 3-4 years of relevant experience
  • Strong communication skills in both writing and presentation
  • Solid quantitative and analytical training and experience
  • Experience with analytic and/or reporting tools such as SQL, SAS, R, VBA, Oracle, Business Objects, or Tableau
  • Subject matter knowledge in regulatory capital and capital management a plus
  • Detail oriented with a high degree of intellectual curiosity
  • Excellent oral and written presentation skills
  • Ability to focus on telling a story, connecting observations from the counterparty credit analysts to a rich historical dataset
25

Analytics Associate Resume Examples & Samples

  • Maintains organized, complete, and up-to-date study documentation, testing, and validation / quality
  • HS with 3 or more years of relevant experience (completed coursework toward earning a BS in
  • BS (Mathematics, Statistics, or Computer Science preferred) with 0-2 years of relevant experience
  • Candidate should demonstrate good organizational and verbal communication skills
  • Computer skills, commensurate with Essential Functions, including the ability to learn a validated system
  • Ability to work extended hours beyond normal work schedule to include, but not limited to evenings,
26

Enterprise Analytics Associate Resume Examples & Samples

  • Provide technical leadership and strategic direction for product and service planning through an understanding of the Analytics technologies
  • Represent the service outside the function and drive effective Analytics capabilities by building on a solid understanding of the integration points with applications, platforms, network infrastructure, and other capabilities
  • Drive quality Analytics solutions and patterns that meet the needs of our global and functionally diverse business partners. Build effective relationships with them to understand their objectives and needs
  • Own the software vendor management for Enterprise Analytics technologies. Deliver and communicate technology roadmaps to ensure enough time for effective adoption
  • Anticipate changes to solution offerings through a broad understanding of the technical issues and engagement in EIP’s strategic direction. Partner with Infrastructure IT, solution delivery, and Information Management capability teams to architect and deliver current and future Platform solutions
  • 3-5 years experience in demonstrating versatility in technical leadership, project management, and systems/software development and implementation
  • 3-5 years experience with knowledge of systems and the integrations between infrastructure technologies (i.e., operating systems, networks, firewalls, security.) and applications
  • 3-5 years experience demonstrating ability to come up the learning curve on Analytics technologies and apply them quickly (i.e., Spotfire, Tableau, Business Objects, Microsoft Analytics, etc.)
  • 3-5 years experience in supporting, managing and setting technical direction for globally offered services/technologies
  • Strong understanding of GxP Standards and Practices
  • Experience working with teams across organizational and geographic boundaries and multiple levels in the organization
  • Strong teamwork, self-management, problem-solving abilities
  • Excellent oral and written communic
  • Understanding of data management practices, database design and modeling
  • Familiarity with multiple design, construction, version control, and testing tools
  • Experience with configuring end-user tools such as Sharepoint workflow, and InfoPath forms
  • Ability to accomplish results through others, particularly by establishing relationships, and being an effective team member or business partner
27

Freelance Analytics Associate Resume Examples & Samples

  • Responsible for leveraging trends, methodologies, and best practices within analytics
  • Participating in the development of next generation analytical tactics to meet client needs
  • Build strong relationships across multiple disciplines and account teams
  • Oversee quality of deliverables and work with team to define common, consistent approaches and methodologies
  • Leveraging multiple forms of data, you will analyze the success and / or failures of marketing initiatives and create prioritized, actionable recommendations
  • Mentoring other Analytics and Optimization Associates specific to campaign development and best practices
  • 0-3 years in an analytical role, preferably in a professional services environment and/or related analytical course work
  • Experience with online technologies and their applications a plus (preferred)
28

Digital Analytics Associate Resume Examples & Samples

  • Query and process voice of the customer data, cluster by theme and identify new key themes using Clarabridge (text mining application)
  • Develop and execute comment cluster models using inclusion and exclusion rules to define parent / child comment categories
  • Leverage basic and advanced text analytic frameworks to categorize and quantify unstructured data to answer critical business questions
  • Work with product and VoC leads to create and refine keyword identifiers for comment classification
  • Ensure comment categorization and sentiment tuning are up-to-date and reflect current customer comment set and fall within proper recall and precision tolerances
  • Construct and deliver insightful presentations focused on how to improve the customers’ Digital experience
  • Develop insightful presentations on finding to provide to our business stakeholders in product, design, and lines of business
  • Manage and update current VoC reporting for executive management and lines of business
  • Manage processes for productionalizing dashboards (structure data in source systems, export, and manage daily/weekly/monthly loads as necessary)
  • Proactively identify customer friction points and work with other analysts in the behavioral and transactional space to quantify issues and opportunities
  • Bachelor's degree or equivalent work experience Economics, Marketing, Market Research, Analytics, Computer Science, Statistics, or related discipline
  • Experience working across multiple disciplines and lines of business with varying understanding and appetite for customer analytics
  • Excellent written / verbal communication and presentation skills, with native English language skills to be able to correctly identify nuance in comments
  • Ability to work with and leverage unstructured and structured data
  • Proficient use of MS Office and related products and ability to present strategic concepts in powerpoint
  • Interest in using textmining tools, strong technical aptitude
  • 1- 3 years experience with Text mining tools, SAS, Python, Hadoop, Adobe Insight
29

Decision Analytics Associate Resume Examples & Samples

  • Drive analysis and problem solving and advance ZS’s capabilities
  • Bachelor's or master's degree in any discipline; strong record of academic success in a quantitative, analytical discipline such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics or Engineering
  • Demonstrated proficiency in a programming language or analytical tool such as R, SAS, Tableau or VBA
30

Market Risk Analytics Associate Resume Examples & Samples

  • Research, development and enhancement of market risk models and methodologies
  • Apply stochastic and econometric techniques to support methodology development and validation. Perform back-tests, stress tests, scenario analyses and sensitivity studies
  • Oversee implementation of model changes in IT production environment
  • Incorporate Front-Office changes in Interest Rates, Credit, Equity, Foreign exchange, Securitizations and Counterparty valuation pricing systems into market risk models. This involves liaising with Front-Office Desk Strategists, Risk managers and IT for integration of new products and risks into official and internal risk numbers
  • Oversee daily production of all market risk models. This involves diagnosing and fixing production issues that are critical to producing Firm’s daily market risk numbers. Automation of production processes to reduce operational risk
  • Ongoing updates and calibrations of market risk models and methodologies to reflect the current market conditions including overseeing the weekly benchmarks update process to reflect the latest market data
  • Participate in Regulatory and validation exams by providing documentation and responses to regulators and internal validators on market risk models related issues
  • Master’s degree in Engineering, Finance, Statistics, Business Administration, or related field of study
31

Solutions, Client Analytics, Associate Resume Examples & Samples

  • Help manage overall client relationships with goal of maintaining a high level of overall client satisfaction
  • Provide daily client support for key Aladdin analytics tools by responding to analytic client inquires and questions
  • Coordinate projects across multiple internal teams to help clients take full advantage of Aladdin’s risk and analytics capabilities
  • Actively manage Aladdin analytic-related client communications, including model releases and enhancements
  • Represent clients with internal BRS teams to assess priorities and provide clarity on the client’s business motivations
  • Assist Aladdin Implementation Managers onboard clients to the Aladdin platform
  • Relevant experience required. Strong subject matter expertise or strong interest in equity, fixed income, or alternatives desirable
  • CFA designation or progress towards CFA designation is desirable
  • Knowledge of various Aladdin tools and their underlying analytical models is desirable. Strong interest in multi-asset risk modeling and asset allocation
  • Enjoy a fast-paced, high-intensity environment. Work well as part of a team with minimal supervision. Well organized with the ability to manage multiple priorities
32

Consumer Banking Goal Setting Analytics Associate Resume Examples & Samples

  • Produce on-going and ad hoc analytics to assess retail bank performance, sales performance trends and effectiveness of retail bank initiatives
  • Build, maintain, and execute goal allocation models used to calculate branch sales and balance goals for over 30 products and services
  • Utilize multiple software systems to aggregate, validate, and analyze large quantities of data
  • Manage a variety of analytical projects leading to performance management improvement
  • Present goal model recommendations and performance analysis findings to leadership and key partners
  • Develop relationships with key field and technical support partners to source and analyze data impacting retail bank scorecards and performance management tools
  • Bachelor’s degree in Business or Finance related field
  • 3+ years related experience in Financial Services, Finance, Goal Setting, or Compensation
  • Strong analytical, logical reasoning, and problem solving skills required
  • Advanced Excel and PowerPoint are required; SQL skills are preferred
  • Multi-tasking skills with ability to prioritize efforts and meet strict deadlines
  • Ability to build presentations that convey a clear story supported by data findings
33

Solutions, Client Analytics, Associate Resume Examples & Samples

  • Evolving and maintain the content of the analytical reporting on client portfolios’ exposures, risk and performance attribution
  • Test and deploy new models, analytics and reporting to our clients
  • Assist with the creation of models, analytics and reporting for new security types, new products, and new clients in coordination with teams across the firm
  • Advising clients on best practice for various analytical efforts, using our experience with other clients, understand the problem and recommend alternatives, if appropriate
  • Work with clients to prioritize strategic and tactical analytical projects and discuss our strategic analytics product development plans
  • Assist Business Development team in sales pitch processes by presenting analytical tools and cutting edge functionality
  • Work requires the application of technical skills, requiring strong understanding of our technology applications
  • The role may require occasional to frequent travel, primarily within Europe
  • Proven financial services industry experience essential, buy-side or insurance preferred over sell-side
  • Must have previous experience advising Clients on portfolio strategies, portfolio optimization, risk assessments, and attribution
  • Previous experience of Aladdin advantageous
  • Must have had prior experience evolving and maintain the content of the analytical reporting on client portfolios’ exposures, risk and performance attribution
  • Must have had experience in leading cross functions teams, across multiple business lines, ideally within an Asset Management environment
  • Strong interest in financial analytics and technologies, and their application within the investment and risk management process is critical
  • Demonstrated passion and enthusiasm for the asset management and risk management industry is essential
  • Language requirements – English (written and spoken), other European language skills would be an advantage
  • Desire to work closely with internal partners and key clients in a manner that deepens relationships and further demonstrates value of the analytical tools within the Aladdin platform. Prior experience with Aladdin advantageous
  • Must have prior knowledge of databases, SQL, UNIX, VBA , C++, PERL or similar tools, a definite advantage
  • Enjoys a fast-paced, high-intensity environment and multi-tasking
  • Client delivery focused having to balance client priorities and team resources to ensure effective project deliveries to the client satisfaction
  • Ability to leverage technical, business and client insights to drive improvements
  • Excellent communication and presentation skills to interface with external clients
34

Advanced Analytics Associate Resume Examples & Samples

  • Solve complex challenges involving data modeling, scenario creation, risk analysis, data mining/validation, and development of business rules to guide technology development
  • Ability to document requirements, designs and detailed technical specifications, training materials, operating instructions, and test plans to support development of predictive analytic solutions
  • Partner with business & technical experts to identify analytic opportunities and define requirements
  • Data modeling skills and competency
  • Demonstrated ability to relate data & process
  • Incorporate technology capabilities into design development
  • Experience with scoping problems
  • Experience with designing / writing functionality requirements
  • Experience with data modeling
  • Experience incorporating technology capabilities into design development
  • Effective problem-solving skills demonstrated through related work experience
  • Aerospace cross-solution knowledge (supply chain, finance/accounts, HR, etc.)
35

Intern, Analytics Associate Resume Examples & Samples

  • Written and verbal interactions with team members to communicate results, analyze issues and assist with problem resolution. Timeliness, accuracy, and attention to detail are required for success
  • Develop, modify, and debug SAS code programs to improve understanding of the business, and to understand where we can improve. Follow best practices for notes and formatting
  • Perform analysis on output of SAS program for and make recommendations as appropriate. Research discrepancies and potential issues with data and SAS code and assist with problem resolutions. Convey findings to team members via written and verbal communication
  • Analyze financial data to understand opportunities
  • Develop and implement process and code efficiencies and automations if applicable
  • Maintain a high level of competency in research principles, tools and analytical techniques
  • Collaborate with internal business partners and external vendors to frame business needs and identify appropriate methodologies
  • Aid in study design and implementation plans for complex projects
  • Communicate and solve methodological issues with project team members
  • Pilot and roll out successful approaches to the organization
  • Evaluate approaches to improve Competitive Intelligence
36

Analytics Associate Resume Examples & Samples

  • Drive meaningful and differentiated experiences for our passengers and partners and deliver to the 4-Wheels bottom line
  • Help determine strategy and direction for the 4-Wheels business; clearly aligned with Grab’s business priorities
  • Visibly lead the 4 Wheels-Analytics organization’s engagement with the business; supporting and driving greater data-driven decision making and objective measurement of performance
  • Act as a strong and influential advocate for analytics needs with our stakeholders, particularly when it comes to technology, instrumentation and data dependencies
  • Roll up your sleeves and personally execute high-value analyses on occasion
  • Outstanding problem solving skills - You love a challenge and will take action to identify solutions
  • Collaborate with business stakeholders to develop actionable insights which help build and improve world class products
  • Bachelor’s Degree in a technical / quantitative field from a top-tier institution or equivalent work experience
  • Fluent in Bahasa Indonesia
  • Good in written and spoken English
  • Fun, high-energy personality. Great team player who works well in collaborative situations
  • Excellent written and verbal communication (highly proficient in PowerPoint)
  • At least 3 years of experience working in Management Consulting / Business Intelligence / Analytics or related jobs
  • Tech or E-Commerce and Transportation industry experience preferred
  • Strong Excel skills is a must
  • Experience with Access, SQL and a statistical package (e.g. SAS, R) is a strong plus
  • Work experience with analytical tools, e.g. Tableau, Qlik, SiteCatalyst, Google Analytics or Microstrategy, is a strong plus
37

Business Analytics Associate Resume Examples & Samples

  • Technical insurance industry knowledge
  • Minimum three years of relevant experience with training/information systems related to client service
  • Strong oral communication including presentation skills and written skills, required
  • Software and hardware technology and systems expertise, including knowledge of Microsoft Office applications
  • Aptitude to assess, suggest, and apply analytic findings effectively
  • Strong understanding of data and ability to find insights in raw data
  • Bachelor’s degree desired
38

Vertical Analytics, Associate Manager Resume Examples & Samples

  • BS/BA degree (ideally in Statistics, Math, Physics, Computer Science) with 3+ years of experience Or Master’s degree in similar field or MBA and 1+ years of experience in analytics and exposure to varied functions within analytics/finance
  • Minimum 4 + years related experience, impacting large domain/business unit results and partner relationships through creation of business process
  • Active eBay users
  • Past experience demonstrating strong focus on partner needs in an analytical environment
  • Expert Excel, PowerPoint skills and database query skills (e.g., SQL); and an understanding of data warehouse architecture
  • Advanced Technical Skills (Python, SAS & R - such as but not limited too)
39

Business Intelligence & Analytics Associate Resume Examples & Samples

  • 3-5 years’ experience in Business Intelligence and/or Enterprise Performance Management
  • Excellent communication, collaboration and teamwork skills
  • Excellent analytical ability and strong problem solving skills
  • Experience with Oracle and Hyperion tools
  • Experience with Oracle Business Intelligence Applications (OBIA), Oracle Business Intelligence Enterprise Edition (OBIEE), or another reporting tool such as Business Objects or Cognos
  • Experience with data warehousing, and data modeling
  • ETL tools and technology experience
  • Experience with reporting technologies
  • Ability to provide mentoring to junior resources
  • Willingness to travel 80%
  • Bachelor’s Degree in MIS, Accounting, Finance, Engineering, Computer Science, and/or Mathematics required
  • Prior experience within a consulting organization
  • Experience with Oracle Data Integrator or another ETL tool such as Informatica or DataStage
  • Experience with Cloud based analytics
  • Experience with data visualization tools
  • Experience with Hadoop
40

Analytics Associate Resume Examples & Samples

  • Partner with product, growth, marketing and operations teams to conduct in-depth quantitative analyses that guide strategic decisions
  • Make recommendations based on detailed analysis and a deep understanding of our business
  • Build and maintain reports, models, and visualizations which provide insight into users experiences and business performance
  • Contribute to our team and company data culture through peer collaboration, training, coaching and more
  • BA/BS degree, preferably in Economics, Math, Statistics, or Computer Science
  • 2+ years experience working in quantitative or analytical role, preferably in technology or consulting
  • Proficiency using SQL to query large data sets
  • Sharp business judgement and the ability to see past the noise
  • Strong communicator, attentive listener and compelling explainer
  • Experience with R or Python
  • Experience with d3.js or web development
  • Experience in Statistics, Experiment Analysis and Modeling / Machine Learning
  • Learn more about our culture, benefits, and perks
  • Follow Thumbtack on LinkedIn
41

Market Risk Analytics Associate Resume Examples & Samples

  • Development and enhancement of market risk models (VaR, Stressed VaR, IRC, CRM and RNIV) to ensure ongoing appropriateness
  • Involvement in key deliverables, both for internal and external requirements
  • Regulatory related analysis on Market Risk Models: VaR, Stressed VaR, IRC, CRM and RNIV
  • Input into the Model Validation process
  • Ongoing monitoring and evaluation of market risk models including backtesting, RNIV framework etc
  • Involvement in analysis and interpretation of key regulatory requirements
  • An excellent academic background, including an advanced degree in a quantitative discipline, such as economics, finance, statistics/mathematics, sciences or engineering
  • Up-to-date working knowledge of regulatory requirements and change, specifically those emanating from Basel and European regulatory authorities including PRA
  • Demonstrable experience in delivering enhancementsto Market risk models
  • Good knowledge of financial products is essential, including an understanding of risk representations (including greeks) and a solid understanding of risk management concepts such as VaR and Stressed VaR
  • Proactive with the ability to work as both part of a close-knit team and independently
  • Strong communication skills for written, graphical and verbal presentations
  • Ability to demonstrate good judgment of risks and an understanding of the risk areas covered, including models and products
  • Good knowledge of using SQL
  • Strong Excel VBA skills
  • Ability to program in Python\Java
42

Intern IT Analytics Associate Resume Examples & Samples

  • Exploring data sets to find hidden patterns, trends and opportunities to improve business processes and strategies
  • Performing complex analysis
  • Relating analytical findings to business impacts
  • Presenting analytical concepts and findings in ways that resonate with non-technical audiences (verbal + visual communication)
  • Exploring opportunities collaboratively with business stakeholders to drawing out key facts, observations and assumptions
43

Senior Analytics Associate Resume Examples & Samples

  • Bachelor’s or advanced degree in economics, finance, computer science, business, or a similar quantitative field
  • Minimum of 2+ years professional work experience
  • Experience working with large datasets
  • Experience with at least one programming and/or data-extraction language (e.g., SQL, R, Python). Willingness to learn Oracle SQL quickly and at an expert level, and to learn other programming languages as needed. Experience with or willingness to learn how to navigate the Unix environment
  • Excellent verbal and written communication skills. Ability to present findings – at a technical or non-technical level – to internal or external stakeholders of highly varying technical expertise. Experience communicating results to senior level colleagues or clients
  • Proven ability to work both independently on projects and as part of larger, cross-functional teams
44

Analytics Associate Meltwater India Resume Examples & Samples

  • Work closely with Account Managers to provide support for various client projects across Meltwaters’ proprietary software platforms
  • Become an expert user on our SaaS platforms: Meltwater News (full service PR suite monitoring digital media & metrics, combined with media outreach), Meltwater Buzz (social media + social CRM),
  • Build Boolean Logic searches and basic analytics, set-up new users, update client cards, etc
  • Create reports by mining digital media and social media content based on each brand’s individual parameters
  • Analyze data streams from multiple media channels to measure impact of clients’ brand marketing, public relations and social media outreach campaigns
  • Account research to aid business calls for Client Success Managers and representatives
  • Contribute to our vibrant culture in line with our values of “Fun, Winners and Respect”
45

Digital Analytics Associate Resume Examples & Samples

  • Effectively develop custom dataset configurations, metrics and dimensions to address analysis questions within Adobe Insight to meet business objectives
  • Build and support custom datasets within Adobe Insight for ad-hoc analytics in a fast paced environment
  • Partner closely with teams such as Product, transactional and feedback analysts and support/address their analytical needs
  • Support reporting and dash-boarding efforts that measure established KPIs pre and post digital enhancements
  • Drive the analytics data collection and measurement efforts by translating the lines-of-business requirements into reports and dashboards
  • Synthesize data into actionable recommendations and Communicate data findings through engaging stories that are easy to understand
  • Develop and document data collection, implementation & reporting standards for any new development efforts/site functions
  • 1-3 years of experience working with online and mobile technologies
  • 1-3 years experience with SAS/Greenplum, R, Web Analytics and/or other data mining tools
  • 1-3 years experience in transforming qualitative and quantitative data into actionable recommendations and KPIs
  • Experience with Adobe Data Workbench (a.k.a Insight) preferred
  • Any Tag Management tool experience is a plus
  • An understanding of social media trends and changes in the digital products/services space
  • Proven critical thinker - Ability to understand all available information, synthesize, and communicate a proposed solution clearly and concisely
  • Excellent communication, work management, and collaboration capability
  • Strong understanding and interest in the data lifecycle from collection to consumptions to action
  • Proven ability to work in a fast paced environment, meet deadlines, and perform at high standards with limited supervision
  • Degree in computer science or other quantitative field
46

Analytics Associate Resume Examples & Samples

  • Lead analysis into key performance metrics. Discover – and then quantify – drivers and levers through collaboration with internal teams and your own data analysis. Translate your findings into what is relevant at a business level, and present to internal or external stakeholders. Your analysis will help athena make important decisions about product innovations, and will help providers optimize their business by using our products effectively
  • Deliver transparency into performance via monthly reports. You will translate findings from the discovery phase above into regular root cause analysis into what is driving a metric. You will uncover and quantify issues that are driving performance up or down, and work with your internal network of product experts to suggest solutions or next steps
  • Participate in and lead substantial research and analysis projects that span a variety of topics across athena’s operations, finance, product, and performance teams
  • Develop a “trusted advisor” reputation across athenahealth. Serve as liaison to internal/external stakeholders on complex industry changes such as value-based reimbursement and the transition to ICD-10
  • Bachelor’s or advanced degree in economics, finance, computer science, business, or a similar quantitative field. (You may even be rethinking writing that PhD dissertation.)
  • Significant experience with a least one programming language. Willingness to learn Oracle SQL quickly and at an expert level, and to learn other programming languages as needed. Experience with or willingness to learn how to navigate the Unix environment
  • Excellent verbal and written communication skills. Ability to present findings – at a non-technical level – to internal or external stakeholders. Experience communicating results to senior level clients or colleagues
  • Healthcare experience is not required – you will learn from A-team colleagues!
47

Digital Analytics Associate Resume Examples & Samples

  • 1+ years' minimum experience of digital marketing
  • Broad understanding of web and digital technologies
  • Familiar with content management systems (CMS - content management systems) an advantage
  • Working knowledge of Marketo, Microsoft Outlook, Office and Google Analytics
  • Basic HTML knowledge
  • Understanding of analytics, interpreting data and A/B testing
48

Insights & Analytics Associate, Admissions Resume Examples & Samples

  • Develop/execute plan to build University insights for prospective students and their parents, leveraging internal resources and outside suppliers to conduct primary research and leverage secondary research
  • Provide stakeholder insights and competitive intelligence relevant to the undergrad recruitment process, contributing to development of marketing materials and selection of media channels
  • Manage recruitment campaign monitoring by establishing KPIs, ensuring ability to analyze effectiveness, attribute success across channels, and recommend adjustments as necessary
  • Optimize performance of campaigns by testing messages, analyzing and editing keyword lists, and developing and adjusting criteria to reach target audiences
  • Meet with campus leadership and key admissions stakeholders to understand needs, explain results, and develop solutions
49

Systems & Analytics Associate Resume Examples & Samples

  • Develop R-based tools supporting EnerNOC’s delivery of DR services across the globe
  • Develop Shiny-based user interfaces to streamline processes and allow internal-user data exploration
  • Holistically analyze our systems and identify process/tool improvements that enable scalable and repeatable results
  • Scope, develop and present to stakeholders on ad-hoc analytical projects
  • Work with program owners to integrate new programs and market changes into our systems
  • Work with team members to troubleshoot issues and structurally address root causes
  • Improve and maintain documentation of shared code
  • Collaborate with others on cross-functional initiatives
  • All other tasks and responsibilities as requested by management
  • BA/BS, with a degree in a quantitative/analytical field (Physics, Chemistry, Mathematics, Computer Science, Operations Research, Engineering, Statistics, Economics) or another field with demonstrated ability to work with and derive insights from large amounts of data
  • Working knowledge of an object oriented programming language such as R, MATLAB, Python, etc
  • Demonstrated skills in data analysis, visualization, and statistics
  • Ability to introduce new concepts into an existing process
  • Attention to detail and an inquisitive nature
  • Excellent time management skills and ability to balance conflicting priorities
  • Demonstrated ability to work independently and in a team-driven context
  • Excellent problem-solving and organizational skills
  • Ability to manage high stress situations calmly and effectively
  • 1-2 years of experience in energy, data analytics, engineering, or similar industry with quantitative focus
  • Prior experience with process improvement and project management
  • Hands-on experience working with Salesforce
50

Risk Analytics Associate Resume Examples & Samples

  • Support the Conservator Capital (CC) reporting and analytics function. Produce CC reports required by our Conservator, FHFA, and develop insightful analytics that help stakeholders better understand the underlying drivers of CC results
  • Develop subject matter expertise related to Conservator Capital, other capital regimes (e.g., Basel) and benchmarks, and how CC relates to our internal Economic Capital metric
  • Develop and execute effective process controls; identify opportunities to streamline or automate these controls
  • Collaborate with FHFA, Freddie Mac, and internal Business Analytics teams to propose and evaluate potential refinements to the CC framework
  • Consider assigned products, assets, or transactions that are subject to risk. Determine which analytical tools can be used to assess and quantify risk for specific product or transaction
  • Determine applicability of varied statistical and mathematical tools to analyzing the risk of varied financial products, assets and transactions
  • Conduct analysis or application of model on variety of products or assets, including mortgage backed securities or derivatives
  • Solid Excel skills required
  • Data analytics skills (querying, merging, transforming, and summarizing data using tools such as SAS, R, SQL, or BI tools such as Tableau) are also useful
  • Economics or Finance background—must be familiar with basic economics and/or financial theory, and have some exposure to mortgage analytics
  • Exposure to credit or market risk analysis desired
  • Positive attitude, ability to work independently and as part of team, and eager to learn
51

Analytics Associate Resume Examples & Samples

  • Support with development and implementation of ad hoc and ongoing social media analytics and reporting programs linked to clients’ overall strategy and business objectives
  • Assist in the development of analytics program scopes and budgets for new programs
  • Create polished insightful performance tracking and analytics deliverables, based on approved scopes and budgets
  • Assist in the setup, management and reporting of brand owned social channel, earned social and site tracking – including data exporting and analysis
  • Support with cross-channel media audits for client planning and new business
  • Demonstrate familiarity with owned, paid and earned aspects of digital content management, including social media tracking, site analytics and search
  • Keep abreast of changes in digital media intelligence and tracking platforms and proactively suggest adjustments to analytics strategy and tactics based on changes
  • Develop a strong working knowledge of various media data vendors and tools
  • Familiarity with the following preferred, but not required
52

Global Iscp Analytics Associate Analyst Resume Examples & Samples

  • Support the Integrated Supply Chain Planning Modeling, Metrics and Analytics team as it aligns the markets and sectors to the Global Metrics
  • Ensure standardization of the metrics package to include data inputs, methodologies and exceptions
  • Support the development of the technical elements of the metrics package (data collection, data storage and visualization)
  • Develop and execute testing strategy with support from the rest of the team
  • Lead metrics testing, issue resolution and data validation
  • Provide metric / performance tracking visibility for the team
  • Orchestrate and coordinate market direct engagement
  • Overall program management support for theISCP Global Horizontal Team
  • Bachelor's Degree in Supply Chain, Business, Engineering, or related field
  • 2+ years of experience in project management, large scale implementation and/or field supply chain experience is preferred
  • Strong Excel skills, VBA knowledge and understanding highly preferred
  • Ability to quickly learn and understand computer programming languages (PHP, HTML, etc.) to develop and support tools
  • Experience with Tableau or similar data visualization tools is highly preferred
  • Able to ensure technical standards, methodologies, and strategies are followed
  • Able to facilitate the resolution of complex problems
  • Able to anticipate and overcome obstacles associated with assigned projects
  • Able to develop effective partnerships with business partners and other layers across the business
  • Assists in or deliver presentations to a variety of audience levels
  • Actively communicates to managerial and technology leadership project status
  • Ability to make appropriate tactical decisions necessary to complete assigned projects
  • Understanding of business processes associated with Supply Chain Planning
  • Understanding of PepsiCo Manufacturing and S&D Operations
  • Understanding of S&D or Supply Chain systems, processes and technical architecture
53

Credit Risk Analytics Associate Resume Examples & Samples

  • Build models, design scenarios and implement tools for counterparty stress testing for both regulatory and risk management purposes
  • Work closely with risk managers, front office and IT to remediate existing gaps in counterparty stress testing framework and perform analyses for topical stresses
  • Perform quantitative model testing, validation, and enhancement for the counterparty credit risk exposure measurement models, including Monte Carlo simulation, pricing and valuation models, margining, netting and aggregation models
  • Perform business analysis on the firm’s existing system, data, model and processes within the context of risk management and regulatory implementation
  • Evaluate counterparty exposure of proposed derivative trades that are too complex to be covered by the firm’s exposure models in production
  • Program, test and implement quantitative financial methods using Python, C++, VBA, Matlab, and SQL. Utilize advanced statistics and mathematics skills including options pricing theory, stochastic calculus, Monte Carlo simulation, numerical analysis and optimization techniques, probability theory, and time series analysis
  • Excellent verbal and written communication skills are a must
  • Advanced degree (M.S. or PhD) in a quantitative discipline, e.g., economic, mathematics, physics, engineering or finance with a quantitative undergraduate background
  • 3 to 5 years work experience in counterparty risk modelling team
  • Strong cross-asset product knowledge and familiarity with financial markets
  • In-depth knowledge of option pricing and stochastic calculus and Monte Carlo simulation
  • Strong programming skills in Python, C++, VBA, Matlab/R
  • Statistical skills (e.g., probability theory, time series analysis) and facility with statistical packages would be desirable but are not required.*LI-FQ1
54

Metrics & Analytics Associate Resume Examples & Samples

  • Calculate financials (payback period, ROI, savings) for workforce strategy plans
  • Lead meetings with clients or internal colleagues and manage process improvement or similar initiatives
  • Manage team resources including work pipeline and projects
  • Work with clients to understand their deployment strategy and make recommendations to improve returns
  • Prepare as well as oversee the preparation of reports for senior management
  • Build analytic models supporting cost transparency projects or used for testing assumptions / performing sensitivity analysis
  • Work with Transition Managers & Customer Relationship Managers to develop and price out multi-year pipeline
  • Support ad-hoc projects for senior management
  • Strong quantitative skills - ability to build and evaluate mathematical models
  • Project management skills - ability to manage multiple small to medium sized projects simultaneously
  • Must be an advanced Excel user
  • Ability to crystallize ideas into actionable items
  • Good understanding of basic research techniques to understand and solve problems
  • Solid knowledge of Microsoft Office suite, and/or other relevant applications
  • Financial Industry background
  • Prior experience managing a small team
55

Cao-client List Screening Analytics Associate Resume Examples & Samples

  • Gather and analyze all pertinent client information on PEPs identified from the screening unit/screening Results
  • Ability to understand the Corporate standards with respect to the identification of PEPs associated with our direct clients and related parties; socialize these adopted standards into the holistic WCOB KYC due diligence process
  • Complete the PEP Due Diligence templates using public and internal sources
  • Work with sales to finalize the PEP Due Diligence templates to ensure proper due diligence is performed
  • Ensure due diligence system is updated properly based upon information sourced
  • Enter completed template in PEP repository to monitor relationships as well as associated country summaries
  • Adhere to SLAs; escalating any quality or timeliness issues with Manager for follow-up
  • Individual must be results driven and have attention to detail, maintain a sense of urgency and ability to prioritize/multi-task
  • Strong sense of accountability and ownership over “quality” and end-to-end best practices
  • Strong analytical/time management skills
  • Strong communication skills are a must – verbal and written
  • Adaptable, flexible, and willing to work in a dynamic environment
  • AML/KYC compliance background essential - knowledge of the USA Patriot Act, Bank Secrecy Act, 3rd European Directive, FCPA, OFAC, and related AML regulations; awareness of various types of corporate entities/structures – hedge funds, asset managers, pension funds, limited and private/public companies, holding companies, trusts, etc
56

Performance Analytics Associate Resume Examples & Samples

  • 50% Lead client performance analysis
  • Analyze client performance, identify root-cause issues and make recommendations to resolve/improve
  • Identify trends with hospital clients, payers/clearinghouses and report custom findings
  • Drive research and/or analysis projects while acting as a liaison with internal/external stakeholders to enable improved product performance
  • Deliver transparency into drivers of key performance metrics and work with product experts on next steps to improve
  • 40% Program management
  • Partner with internal departments (e.g., product implementation, account management, Client Support) to educate, understand needs, and respond to questions
  • Cross-functional coordination of regular meetings to ensure we are driving a consistent communication rhythm to keep internal/external stakeholders informed
  • Ensure resolution plans are clearly laid out and that appropriate follow-up/action is taken in a timely manner
  • Develop a “trusted advisor” reputation and become a go-to resource for in-depth understanding of the healthcare claim process for Inpatient hospital billing
  • 10% Reporting
  • Deliver transparency into performance of our Inpatient Collector product and Clients via regular weekly and monthly reports to Leadership
  • Demonstrate ability in building customized internal reporting using available tools and data sets
  • Assist in developing standard dashboards for performance monitoring with our new clients as they onboard onto athenahealth’s Inpatient Collector product
  • Bachelor’s degree
  • 2-4 years of professional experience
  • Strong communication and business writing skills
  • Experience working with cross-functional groups and teams to achieve common goals
  • Experience in applying quantitative analysis to business operations is a plus but not required
  • Understanding of Hospital Billing is a plus but not required
  • Service and relationship experience with clients preferred
  • Proficiency in Microsoft Office Suite: Excel, PowerPoint, Word
  • Experience with SQL or willingness to learn quickly
  • Strong willingness and aptitude for learning new concepts and analytical approaches
  • Travel required, predicting 30-40%, but time may vary and will include client site visits and training
57

Neurology Business Analytics Associate Director Resume Examples & Samples

  • Responsible for becoming knowledgeable on opportunities and challenges related to the Neurology Business Unit
  • Provides contract analysis support to the NBU, identifying business opportunities
  • The NBU Business Analytics & Insights Associate Director has involvement in the sales and marketing strategic planning process
  • Manages and provides direction to the NBUU Business Analysts
  • Develop and implement a standardized process for taking and fulfilling analytical requests from key stakeholders while identifying a prioritization process to help manage the requests
  • Collaborate with the business unit to develop reports efficiently and effectively to meet information needs of sales, marketing, and operations management
  • Bachelor’s degree required; MA/MS/MBA or other advanced degree preferred
  • Strong strategic, conceptual and analytical thinking combined with the ability to lead and build relationships with key stakeholders to quickly understand business strategies, identify analytics needs and build effective solutions
  • Lead rigorous, analytics-based decision support to the commercial team, including primary market research, data analytics, forecasting and insight generation
  • Monitor in-line portfolio performance and generate insights to drive continuous improvement of marketing strategy
  • 8+ years’ experience working in an advanced analyst role preferred
  • 8+ years of working in a complex data environment Preferred
  • Demonstrated experience using advanced Excel features and techniques
  • Demonstrated experience in analysis and presentation of data to senior levels of an organization
  • Skills in establishing and maintaining effective working relationships and being known to articulate complex concepts in clear, brief and easy to understand manner
  • High Proficiency in MS Office tools to include: Project, Excel, PowerPoint, Word, and Outlook
  • Highly proficient with analytical tools such as SAS and R
  • Background in working with Pharmaceutical prescription data, related information delivery, and data standards experience
  • Can clearly articulate the procurement and nuances of Specialty Pharmacy data
  • Background in data investigations within a pharmaceutical data environment
  • Experience working with longitudinal patient level data for treatment and patient flow analysis
  • Experience in using managed care data such a MMIT and fingertip formulary data
  • Experience in statistical techniques such as linear regression, logistic regression, decision tree, machine learning methods and time series forecasting techniques such as ARIMA, exponential smoothing
  • Experience in using and developing methodologies such as test-control observational experimental techniques for strategic resource allocation
  • Experience with data warehouse/business intelligence solutions development and experience
  • Excellent verbal, written, facilitation and interpersonal communication skills with all levels internally and externally including technical and non-technical delivery and including communicating progress, status and risk information
  • Ability to identify priorities, deadlines, and expectations on multiple tasks and execute tasks accordingly with a high degree of quality while managing to tight deadlines and changing business needs
  • High level of detail orientation, organization, flexibility, teamwork, and relationship building skills
  • Ability to routinely demonstrate strong quantitative, data analysis, analytical and complex problem solving skills without supervision including experience on how to distill large amounts of data in to actionable management information
  • High degree of leadership and people skills with a high level of integrity, positive attitude, commitment and work ethic
  • Strong learning agility and self-motivated individual seeking opportunities in a dynamic, team-based work environment that focuses on the customer
  • Ability to travel~15%