Science Analyst Resume Samples

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AW
A Williamson
Allan
Williamson
6858 Hermann Inlet
Phoenix
AZ
+1 (555) 103 3818
6858 Hermann Inlet
Phoenix
AZ
Phone
p +1 (555) 103 3818
Experience Experience
11/2016 present
Houston, TX
Senior Revenue Science Analyst
Houston, TX
Senior Revenue Science Analyst
11/2016 present
Houston, TX
Senior Revenue Science Analyst
11/2016 present
  • Provide business leadership and project management to execute large-scale corporate pricing and revenue management initiatives
  • Develop project work plans and timelines; coordinate and execute projects with other team members under manager's guidance
  • Develop project (analysis and forecast) work plans; coordinate and execute projects with other team members
  • Provides updates and reports to upper management (typically within the department)
  • Strong work ethic as part of a team as well as working independently
  • Incorporate senior management input with manager's guidance and seek input to meet critical project milestones
  • Demonstrated strong work ethic as part of a team as well as working independently
06/2012 08/2016
Philadelphia, PA
Decision Science Analyst
Philadelphia, PA
Decision Science Analyst
06/2012 08/2016
Philadelphia, PA
Decision Science Analyst
06/2012 08/2016
  • Provides results from research to assist management in decision-making
  • Performs assigned programming tasks
  • Develops mathematical models and analytical programs to solve business problems
  • Assists with design of models and programs
  • Drive consistency in functionality, presentation, and quality of all new dashboards and reports, ensuring best practices are adhered to during creation
  • Participates in testing and implementation of systems and interpretation of results
  • Prepares documentation for systems and programs
10/2005 05/2012
Dallas, TX
Revenue Science Analyst
Dallas, TX
Revenue Science Analyst
10/2005 05/2012
Dallas, TX
Revenue Science Analyst
10/2005 05/2012
  • Assist project lead and ensure projects are done completely, accurately, and timely; update manager on project status
  • Provides updates up to mid-management (typically within the department)
  • Assists in developing complete, accurate, and timely short-term and long-term business forecasts
  • Develop excellence in computer-aided decision support, SAS, SQL, and Unix to accelerate data analysis and reporting
  • Develops excellence in computer aided decision support, SAS, SQL, and UNIX to accelerate data analysis and reporting
  • Demonstrated initiative and strong work ethic
  • Ensure the integrity of all historical and forecasting data, and maintain all functionality of reporting systems
Education Education
Bachelor’s Degree in Economics
Bachelor’s Degree in Economics
Carnegie Mellon University
Bachelor’s Degree in Economics
Skills Skills
  • Advanced knowledge of relevant industry data & methods and demonstrated ability to connect external insights to business problems
  • Intermediate knowledge of relevant industry data & methods and ability to connect external insights to business problems
  • Ability to work well with diverse teams
  • Advanced knowledge of data analysis tools
  • Advanced knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
  • Gather data from a variety of sources, incorporating company and industry knowledge, mathematical and technological expertise, and analytical processes to solve lower complexity business issues
  • Demonstrated ability to influence business decisions
  • Intermediate knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
  • Drive consistency in functionality, presentation, and quality of all new dashboards and reports, ensuring best practices are adhered to during creation
  • Intermediate knowledge of data analysis tools
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1

Lead Decision Science Analyst Resume Examples & Samples

  • Develop impairment LGD models,statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting impairment and collections. (40%)
  • Participate in overall project design and delivery with Risk modeling’s other functional teams and end-clients. (10%)
  • Validate, track, and monitor delivered projects. (20%)
  • Produce robust documentation to ensure replicability of results and fulfil Barclays
2

Senior Decision Science Analyst Resume Examples & Samples

  • Financial Services experience, highly preferred
  • Strong use of statistics, databases & technology
  • Experience in customer journey analytics
  • Can leverage big data (both internal, external – 3rd party) to infer customer journey and build personas
  • Understands optimization techniques to build customer journey
  • Strong experience in marketing analysis, campaign management and customer segmentation
  • Excellent understanding of advanced statistical techniques, including uplift modeling, logistic regression and cluster analysis
  • Demonstrates an intermediate to advanced ability to perform mathematical calculations and analysis
  • Strong knowledge of SAS and SQL programming
  • Advanced knowledge of statistical tools (SAS, SPSS, E-Guide, E-Miner) to mine data and build predictive models using a variety of methods (linear/logistic regression, CRT, CHAID, etc) used for segmentation, response modeling, defection modeling, etc
  • Interpret reports, providing analytical commentary and recommendations for change through actionable insights which drive measurable results
  • Must be able to use a customer centric approach in all work, and be able to relate tactics to overarching strategy
  • Good knowledge of databases, BI tools like BO, Cognos, Microstartegy and visual tools like Tableau
  • Candidate must possess good communication and interpersonal skills in order to interact with various levels and functional groups; must also possess excellent presentation and story telling skills and be feel confortable presenting to executive levels
  • Must be proactive, flexible and adaptable, as priorities can change quickly in a fast paced environment
  • Must be excellent at managing time and projects, and mitigate project risks effectively
  • Must be willing to take initiative and share ideas openly with Engagement Lead and other team members
  • Microsoft Office skills
  • Participates in interview, hiring activities and decision making process
  • Passionate communicator, able to clearly articulate
  • Provide support and guidance to other team members
  • Strong prioritization skills
3

Decision Science Analyst Resume Examples & Samples

  • Minimum 3 years' experience working with Microsoft SQL Server and demonstrable knowledge predictive model building. (Using any of SAS/FICO/R/SPSS etc.)
  • Good communication skills in English - both written and verbal
  • Strong technical skills, encompassing and going beyond competent use of Microsoft products
  • Ability to influence across a range of backgrounds and levels of seniority
  • Strong business interest
  • Excellent quantitative, analytical and methodological skills combined with a strong interest in financial sector
  • A good degree in a numerate subject, preferably in a relevant subject (maths, statistics, operational research, economics)
  • Minimum2years' experience within a consumer Collections / Risk environment
4

Science Analyst, Senior & ED Resume Examples & Samples

  • University degree in a field of Science, Engineering, Computer Science or equivalent
  • A minimum of 10 years experience in a field of Science, Engineering, Computer Science or equivalent
  • A minimum of 5 years work experience in the SR&ED industry
  • Strong leadership, communication, and negotiation skills
  • Autonomous, detail-oriented, self-starter
  • Strong knowledge of the Telecommunications Industry / Technology is an asset
  • Strong knowledge of Bell Canada’s organization, product/services, process is an asset
  • General financial, accounting and tax knowledge is an asset
  • Bilingual – French and English (written/spoken)
5

Senior Science Analyst Resume Examples & Samples

  • 2) Knowledge / experience in large-scale optimization, mathematical programming, meta-heuristics, and statistics
  • 3) Knowledge / experience with Cplex (et al), Matlab (et al), leading statistical packages
  • 4) Knowledge in C/C++ and SQL; Java is a plus
  • 5) Very strong analytical and problem solving skills
  • LI-MH1
6

Senior Revenue Science Analyst Resume Examples & Samples

  • Assists in synthesizing analytical views from various business dimensions in support of business decisions based on business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments
  • Determines go-to-market tactics related to specific target customers, markets and products in term of marketing communication and sales calls
  • Typically works in tandem with peers from other groups
  • Independently attends cross-functional meetings and discussions to understand analytical requirements across enterprise business functions
  • Demonstrates excellence in computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative field such as engineering/operation research). SAS, SQL, UNIX and fourth-generation programming languages
  • Mentors and trains professionals in less senior positions within the team on quantitative data analysis
  • Provides updates and reports to upper management (typically within the department)
  • Identify pricing related opportunities in the market and develop pricing strategies for customer segments to continuously improve revenue management performance
  • Working in concert with internal functions such as Sales, Marketing, and Finance, provide pricing expertise and leadership on corporate initiatives to deliver new service offerings to the market
  • Deliver post-implementation tracking and measurement of pricing actions using advanced analytical tools and statistical methods to accurately measure performance
  • Develop analytical tools and models that enable efficient and high quality pricing analysis; evaluate and enhance pricing analytical models based on improved methodologies, new technologies, tools and applications
  • Understanding of business concepts relevant to revenue management, marketing, and finance
  • Familiarity with relational databases and in manipulating large data sets using SQL and/or SAS
  • Demonstrated initiative and strong work ethic
7

Senior Revenue Science Analyst Resume Examples & Samples

  • Develop project (analysis and forecast) work plans; coordinate and execute projects with other team members
  • Assume project lead duties - ensure projects are done completely, accurately, and timely; update manager on project status
  • Collect and analyze all relevant information that can impact FedEx businesses
  • Conduct quantitative and qualitative analyses and develop appropriate statistical model(s) for specific analyses (i.e., industry, marketing, customer, regional, and competitive)
  • Review analytical reports to help formulate market strategies
  • Modify statistical and judgmental models as needed
  • Develop complete, accurate, and timely short-term and long-term business forecasts
  • Incorporate senior management input with manager's guidance and seek input to meet critical project milestones
  • Prepare presentations and present research findings to senior management
  • Review forecasting reports and present the forecasts to the management chain
  • Rich experience in business analysis and forecast modeling
  • In-depth understanding of forecasting principles, advanced time-series and econometric forecast modeling techniques, as well as business and economic relationships
  • Proficiency in UNIX, RDBMS, and strong programming skills in SAS, SQL, C, VB, Java, or other fourth-generation programming languages
  • Strong statistics background and demonstrated analytical skills
  • Strong work ethic as part of a team as well as working independently
8

Decision Science Analyst Resume Examples & Samples

  • Develops mathematical models and analytical programs to solve business problems
  • Provides results from research to assist management in decision-making
  • Analyzes and determines data, system, and program requirements in addition to system specifications for departmental projects
  • Assists with design of models and programs
  • Performs assigned programming tasks
  • Participates in testing and implementation of systems and interpretation of results
  • Prepares documentation for systems and programs
  • Bachelor’s degree required in Mathematics or related discipline or equivalent
  • Advanced Degree in Operations Research, Statistics, or Business preferred
  • Minimum of 1 year of statistical, operations research, and scientific programming or an equivalent combination of education and experience
  • Ability to work well with diverse teams
  • Requires strong analytical, judgment, and problem solving skills
  • Requires excellent verbal and written communication skills
  • Excellent documentation skills required and the ability to work effectively with clients, IT management, and their staffs
9

Existing Customer Growth Decision Science Analyst Resume Examples & Samples

  • Developing industry leading machine learning targeting and behavioral models that deliver business results meeting and exceeding our goals
  • Lead new data source integration initiatives, including Digital, Retention, and Customer Service data
  • Partner with vendors and credit bureaus to innovate new, industry leading modeling and optimization techniques and methodologies
  • Evaluate advanced computational solutions, such as High Performance SAS Marketing Optimization, In-Database Computing, and Python. Transition existing processes into new and enhanced ones, based on cost benefit analysis
  • Manage the performance tracking of the existing models, and alert the modelers of needs for model enhancement
  • Graduate level degree in Economics, Statistics, Operations Research, or a similar field required, a Ph.D. degree preferred. Two to four years of industry experience preferably in Financial Services
  • Experienced with Big Data tools such as R, H2O, Spark, and Python. Ability to learn new tools, programming languages, and modeling techniques quickly
  • Superior analytical and practical problem solving abilities
  • Strong project management and relationship management skills
  • Must be a self-starter with strong work ethic, and with the desire to accomplish tasks with excellence
10

Existing Customer Growth Decision Science Analyst Resume Examples & Samples

  • Developing industry leading statistical targeting and behavioral models that deliver business results meeting and exceeding our goals
  • Lead advanced computational solution evaluations, such as High Performance SAS Marketing Optimization, In-Database Computing, Python, H2O. Transition existing processes into new and enhanced ones, based on cost benefit analysis
  • Graduate level degree in Economics, Statistics, Operations Research, Physics, or a similar field required, a Ph.D. degree preferred. Two to four years of industry experience in Financial Services
  • Strong Machine Learning, SAS, R skills. Ability to learn other software such as Hive, Mahout, Python quickly
11

Revenue Science Analyst Resume Examples & Samples

  • Conduct detailed evaluation of pricing tactics, including qualitative and quantitative analysis to predict market response and business impact; deliver comprehensive reports and recommendations to executive leadership
  • Provide business leadership and project management to execute large-scale corporate pricing and revenue management initiatives
  • Ability to analyze complex issues and business-related problems
  • Familiarity with relational databases
  • Familiarity with manipulating large data sets using SQL and/or SAS
  • Ability to work as part of a team as well as independently
  • Effective planning, organization, communication, presentation and project management skills
12

Senior Revenue Science Analyst Resume Examples & Samples

  • Maintain all existing forecasting, data, and reporting systems
  • Seek room for further automation and provide out-of-the-box system solutions
  • Contribute to team efforts to build the forecasting analytics, data visibility, and on-line forecasting systems
  • Proactively manage both internal and external users’ system requests
  • Follow standard system development processes to obtain full user requirements and maintain detailed documentations
  • Develop project work plans and timelines; coordinate and execute projects with other team members under manager's guidance
  • Engage users in the soft launch stage and incorporate users’ feedback
  • Assume project lead duties - ensure projects are complete, accurate, and on time; update manager on project status
  • Prepare presentations and present system issues, solutions, and designs to various levels of users in the organization
  • Monitor system performance and take appropriate actions to prevent and minimize system down time
  • Communicate system updates to all users as needed
  • Rich experience in system and application development, business/statistical analysis and/or forecast modeling
  • Excellent object-oriented computer programming skills (e.g., Java) and familiarity with Framework, such as GWT
  • Proficiency in Windows and Unix environments
  • Experience in a statistical analysis package (e.g., SAS)
  • Experience with relational databases
  • Strong human relations skills and customer focus
  • Demonstrated strong work ethic as part of a team as well as working independently
  • Ph.D. or Master's degree in fields of Computer Science, System Design, Computer Engineering, Statistics, Modeling, Business, Finance, or other equivalent degrees. would be a plus
  • Experience in system, application design, and development
13

Decision Science Analyst Intern Resume Examples & Samples

  • Decision Sciences project leader. Responsible for all facets of analytics project management including requirements gathering, analysis design, development of insight, delivery of findings, and managing production or refinement of results
  • Consult across Cox Automotive Media Solutions functional teams on how analytic methodologies or available data sources can be leveraged to address their business needs
  • Track, analyze and interpret trends in data in order to provide relevant conclusions and recommendations to senior management
  • Make proactive, data-driven recommendations on marketing or product strategy
  • Minimal overnight travel (up to 10%) by land and/or air
  • Ability to work closely with business owners as a key subject matter expert to assist them with business strategy and ensuring our analytics drive industry competitive advantage in advanced analytics
  • Ability to work closely with business owners as a subject matter expert to assist them with business strategy and ensuring our analytics drive industry competitive advantage in advanced analytics
  • Experience using statistical programming languages (SAS, R, Python, SPSS etc.)
  • Experience in descriptive statistical analysis
  • Digital media, product, and/or marketing experience preferred
  • Experience in marketing mix, business intelligence, and multivariate testing preferred
  • HDFS (Pig, Hive, Spark), PMML, and Java experience desired
14

Color Science Analyst / Scientist Resume Examples & Samples

  • Develop and test models for variant development and selection
  • Create advanced customer facing electronic color tools for finding and/or formulating refinish paint to match a variety of unknowns containing effect pigments
  • Interact with laboratories and research centers on various research projects
  • Bachelor’s Degree in Physics, Chemical Engineering, Chemistry, Color Science
  • Moderate understanding of Calculus and Linear Algebra(Matrix Mathematics)
  • Solid understanding of color theory and relevant light physics
  • Proven computer programming skills and aptitude (preferred VB.NET, C#, sql, C++)
  • Proficient in Data Analysis
  • Thorough understanding of color measurement and color measurement devices with a focus on multi-angle spectrophotometers
  • Good understanding of colored coatings technologies including paint formulation and production techniques
  • Proven success programming with sql to develop normalized databases
  • 5 years' laboratory (or production) experience formulating paint
  • 5 years’ experience developing and/or matching colors (effect and straight shades)
  • Proficient with various forms of artificial intelligence
15

Revenue Science Analyst Resume Examples & Samples

  • Assist project lead and ensure projects are done completely, accurately, and timely; update manager on project status
  • Develops statistical reports to share significant metrics with the enterprise per requirements from manager or senior level peers within the team
  • Under guidance of the manager/senior member within the team, engage in quantitative and qualitative analyses and develop appropriate statistical model(s) for specific analyses (i.e., industry, marketing, customer, regional, and competitive)
  • Develop excellence in computer-aided decision support, SAS, SQL, and Unix to accelerate data analysis and reporting
  • Assists in developing complete, accurate, and timely short-term and long-term business forecasts
  • Release forecast data to users and answer questions on the forecasts
  • Ensure the integrity of all historical and forecasting data, and maintain all functionality of reporting systems
  • Strong computer skills (Windows, Unix, MS Office products)
  • Ability to analyze complicated issues using extensive and complex data
  • Experience in using large data and familiarity with relational databases
  • Strong work ethics and initiative skills
  • Ability to work as part of a team as well as working independently
16

Decision Science Analyst Resume Examples & Samples

  • Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making
  • Experience presenting and communicating findings/recommendations to team members
  • Advanced knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
  • Advanced knowledge of relevant industry data & methods and demonstrated ability to connect external insights to business problems
  • Demonstrated ability to influence business decisions
17

Decision Science Analyst Senior Resume Examples & Samples

  • Experience presenting and communicating findings/recommendations to cross-functional teams and/or leadership
  • Advanced knowledge of data analysis tools
  • Expert knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
18

Decision Science Analyst Resume Examples & Samples

  • Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making
  • Experience developing presentations to communicate findings/recommendations
  • Intermediate knowledge of data analysis tools
  • Intermediate knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
  • Intermediate knowledge of relevant industry data & methods and ability to connect external insights to business problems
19

Decision Science Analyst Resume Examples & Samples

  • Gather data from a variety of sources, incorporating company and industry knowledge, mathematical and technological expertise, and analytical processes to solve lower complexity business issues
  • Support the design of data analysis and reports needed to support corresponding business partners that utilize the functionality described in the respective business requirements. Execute and deliver analyses and reports. Work closely with other analysts and managers on correct interpretation and validation of output
  • Drive consistency in functionality, presentation, and quality of all new dashboards and reports, ensuring best practices are adhered to during creation
  • Utilize statistical analysis, modeling, and other quantitative techniques to answer ad-hoc business questions
  • Coordinate with other analysts and managers to clarify project responsibilities to ensure quality and that project targets are achieved for those requirements/tasks assigned
  • Work with project lead to ensure all documents and processes are completed and recorded in compliance with Data Analytics' assurance and validation requirements
  • 0-1 Years relevant experience
  • Bachelor’s degree or equivalent
  • Strong analytical thinking and problem-solving skills
  • Competence in using various analytic and reporting tools (e.g., SAS, Enterprise Guide, MS Office)
  • Data-savvy, critical thinker with strong attention to detail and high quality standards
  • Proven ability to work as a member of a team to meet critical deadlines
  • Proven flexibility and adaptability in effectively driving results in an environment of changing priorities
  • Degree focus in Business Administration, Economics, Finance, CIS, or MIS is preferred
  • Prior Property & Casualty Insurance experience is preferred
  • Excellent knowledge of data mining / statistical analysis tools such as SAS or SPSS
20

Revenue Science Analyst Resume Examples & Samples

  • Develop analytical tools and models that enable efficient and high quality pricing analysis; evaluate and enhance pricing analytical models based on improved methodologies, new technologies, tools and applicationsAssists in producing analytical views in support of business decisions from quantitative metrics related to business plans, actual or forecast enterprise performance by revenue or volume or other dimensions, industry, competition, market and customer segments
  • Attends business meetings within and outside the team along with the manager or senior team members to understand various business functions related to the enterprise
  • Develops excellence in computer aided decision support, SAS, SQL, and UNIX to accelerate data analysis and reporting
  • Provides updates up to mid-management (typically within the department)
  • Effective planning, organization, communication, and project management skills
21

Decision Science Analyst Resume Examples & Samples

  • If Bachelor's degree, 2+ years experience in a decision support analytic function. Or
  • If Master's Degree, 0-2 years experience in a decision support analytic function. Or
  • If PhD, 0 years experience in a decision support analytic function
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline
  • (Four years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.) OR
  • A Master's Degree in quantitative analytics or a related field OR
  • A PhD in quantitative analytics or a related field
  • P&C (Property and Causality) or baking experience
  • Marketing analytics experience
  • Previous experience with statistical computer programming
  • Demonstrated ability taking the initiative and driving a process