Science Analyst Resume Samples

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A Williamson

Allan

Williamson

6858 Hermann Inlet

Phoenix

+1 (555) 103 3818

6858 Hermann Inlet

Phoenix

Phone

p +1 (555) 103 3818

Experience Experience

Dallas, TX

Revenue Science Analyst

Dallas, TX

Trantow, Block and Kassulke

Dallas, TX

Revenue Science Analyst

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

Philadelphia, PA

Decision Science Analyst

Philadelphia, PA

Stehr-Crist

Philadelphia, PA

Decision Science Analyst

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

present

Houston, TX

Senior Revenue Science Analyst

Houston, TX

Hudson LLC

present

Houston, TX

Senior Revenue Science Analyst

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

Education Education

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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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

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

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

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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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