Data Analyst / Data Scientist Resume Samples

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E Altenwerth

Earline

Altenwerth

6296 Hammes Via

San Francisco

+1 (555) 643 8347

6296 Hammes Via

San Francisco

Phone

p +1 (555) 643 8347

Experience Experience

Los Angeles, CA

IT Analyst, Data Scientist

Los Angeles, CA

McLaughlin and Sons

Los Angeles, CA

IT Analyst, Data Scientist

Execute data mining activities providing insight from datasets
Knowledge of predictive modeling techniques such as regression, optimization, clustering, neural networks, etc
Work with business owners to understand context with in datasets
Drive innovation by evaluating business processes and identifying data science solutions
Knowledge of BI related principles such as ETL, data modeling, & data warehousing
Knowledge of SQL for data analysis & troubleshooting
Build accurate predictive models driving decision making

Phoenix, AZ

Gbsc Analyst Data Scientist

Phoenix, AZ

Sporer LLC

Phoenix, AZ

Gbsc Analyst Data Scientist

Develop dashboards and reports that adhere to the visualization best practices and communicate a story
Maintain legacy applications (MS Access with VBA) and create a roadmap for implementation of
Work closely with finance teams and internal customers (GBSC Operations) to identify short-term and long-term objective alignment
Contribute to strengthening motivated, innovative and productive team that creates next generation analytics for the shared services center and Mastercard
Generate and implement ideas to continuously improve analytics and reporting services delivery
Participate in drafting documents and presentations for communicating innovations, ideas, or discoveries
Knowledge of basic statistical analysis techniques and data mining methodologies

present

Boston, MA

Data Analyst / Data Scientist

Boston, MA

Huels Inc

present

Boston, MA

Data Analyst / Data Scientist

present

Building and prototyping analysis pipelines iteratively to provide insights at scale
Develop and share best operating practices within the Analytics team
Running a workshop to gather information for a project
Working with large, complex data sets
Working autonomously with limited direction from client or project team to solve a problem
Analysing a massive data set
Making business recommendations (e.g. cost-benefit, forecasting, and experiment analysis) with effective presentations of findings through visual displays of quantitative information

Education Education

Bachelor’s Degree in Computer Science

Brigham Young University

Bachelor’s Degree in Computer Science

Skills Skills

Hands-on functional knowledge in one or more programming languages: Python , Node.Js, R, Java highly desirable
Ability to work autonomously
Working knowledge of SQL/ NoSQL databases
Strong experience of using ML techniques
Experience in using tools and techniques to profile and integrate heterogeneous data that includes structured as well as unstructured/semi-structured formats
Strong Data Mining experience
Ability to document, explain, and present complex ideas
Good communication, client service, and relationship building skills
Excellent presentation skills
Excellent written and verbal communication skills

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15 Data Analyst / Data Scientist resume templates

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IT Analyst, Data Scientist Resume Examples & Samples

Build accurate predictive models driving decision making
Work with business owners to understand context with in datasets
Hypothesize, experiment & drive insight by any means necessary
BA/BS Degree
Knowledge of analytical toolsets such as R, Python, SAS, SPSS, Matlab, etc
Knowledge of SQL for data analysis & troubleshooting
Knowledge of delivery processes such as CRISP-DM, Agile & Waterfall
Knowledge of BI related principles such as ETL, data modeling, & data warehousing
Experience with ETL tools such as datastage, informatica, etc
Experience with OLTP & Analytics databases such as Oracle, Netezza, SQL Server, etc

Mobility Lead Analyst / Data Scientist Resume Examples & Samples

Employ econometric /statistical modeling techniques to assess, monitor and forecast the needs for different mobility solutions
Develop optimization frameworks to support models related to mobility solution, pricing and operation strategy to improve and guide business decisions
Support the deployment of analytical tools related to quantitative mobility solutions. Maintain and enhance previously developed models and tools
Work with various data sources and platforms (PC, Hadoop, Teradata) to gather data

Senior Research Analyst / Data Scientist Resume Examples & Samples

Conduct large-scale data mining to inform and advance product development
Develop robust and efficient computational methods and software tools for transforming messy data into actionable information
Participate in the discovery and the development of learning and analytical models and methods to enhance the intelligence of online learning products
Use statistical/computer programming skills and programs such as R, Python, SAS, SPSS to link data collected on-platform with off-platform data to create data sets and apply analytical models that demonstrate relationships between characteristics of learners, their navigation through Pearson online learning products and learner outcomes
Adhere to data privacy and security guidelines and regulations analysis, capture progress, trends, and make appropriate recommendations and conclusions to improve Pearson product development
Build data expertise and own data quality for allocated areas of efficacy data
Create efficient processes for acquiring, extracting, integrating, transforming, and modelling data to derive useful information
Enable product and Efficacy & Research teams to evidence the efficacy of key products and services in the higher education portfolio and to generate evidence of impact on learner outcomes
Visualize evidence of impact on learner outcomes
A master’s degree or higher in computer science, statistics, mathematics, data science or a related field is a must. A minimum of 2-3 years of industry and/or research experience beyond the master’s degree
Proficiency in data cleaning, data mining and data visualization
Experience with educational data
Fluency in SQL and relational databases
Proficiency in applied linear and multi-level models; model diagnostics and sensitivity analyses; applied multivariate analysis; predictive modelling; segmentation analyses, and experimental design and time series
Fluency in using scientific computing tools like R, Python, SAS, SPSS
Exceptional problem solving skills, willingness to learn new concepts and methodologies as needed, quickly, and apply them to new problem solving scenarios
Ability to work remotely with a high degree of autonomy while also contributing to working in a dispersed but collaborative team on high impact problems
Understanding of Pearson’s efficacy agenda

Data Scientist / Intelligence Analyst, Senior Resume Examples & Samples

3+ years of experience in working with analysts closely or as an analyst
Experience with quantitative and qualitative research
Experience with Microsoft Excel and Access and R Studio, SAS, or JMP
Experience with prediction, forecasting, or anticipatory analytics and research
Knowledge of complex and multi-source quantitative analysis
Knowledge of one or more scripting language, including Python or R
1+ years of experience with working in the intelligence community
1+ years of experience with one or more of the following communities: US law enforcement, military intelligence, or DoD
Experience with software development, i2 Analyst's Notebook, SQL, and Regular Expressions
Experience in working with noSQL databases, including mongoDB and Accumulo
Possession of excellent analytic and problem solving skills

Data Analyst / Scientist Resume Examples & Samples

Bachelor's Degree in Computer Science, Mathematics, Applied Statistics or in STEM majors (Science, Technology, Engineering, and Math)
Minimum of 5 years of experience with massive data sets (Big Data)
Experience developing sophisticated algorithms or analytical models using tolls such as SAS and R to forecast, extrapolate to be able to predict outcomes with confidence
7+ years IT experience
Experience to apply theoretical knowledge to solve financial and industrial problems
Experience with integrated Big Data programming environments and Competency in major analytics software packages and programming environments (e.g., Hadoop / Map-Reduce, Mahout; Python, R, Java etc. in Big data paradigms)
Experience in normalized and dimensional logical modeling
Experience in analyzing source system, data flows, and delivering data architecture designs
3+ years of experience in data warehousing and relational data warehousing design
Possesses SQL skills
Enthusiastic, fast learner willing to work in various technology stacks
Proactive and keep abreast technology trends, and have the ability to explain these trends to other people
Articulate and possess excellent verbal and written communication skills

Data Analyst / Scientist Resume Examples & Samples

Production of the internal compliance MI metrics reporting
Adapting the reporting with the latest changes on a continuous basis
Collaboration with various international Stakeholders within the global compliance function
Working together with the IT-Team to develop automation approaches
Flair for data, numbers and figures
Programming skills in VBA, C, C++, Tableau, Phyton, SQL
Data Visualization experience also preferred
Knowledge of Database design, Data architectures and system automation experience
Knowledge of statistics and analytics methods, statistic programming tools like (SAS, R) would be a plus
Actively Participate in the preparation of special reports and other ad-hoc reporting projects
Experience with reporting and KPI’s and capacity of producing relevant documentation

Data Analyst / Data Scientist Resume Examples & Samples

Apply expertise in quantitative analysis and data mining to see beyond the numbers and extract actionable insights on how our customers use our service and derive value
Develop a deep understanding of the loyalty behavior of our customers. Work collaboratively with Product, Engineering and Marketing teams to develop and measure existing/new rental programs that motivate repeat usage and normalizes rental as part of our users’ lives
Develop a deep understanding of price sensitivity of our users for various rental consumption models. Execute and measure impact of surgically changing pricing on our entire catalog
More broadly, design and evaluate experiments that impact user behavior. Diagnose and communicate root causes of changes in user behavioral metrics
Develop and share best operating practices within the Analytics team

Research Scientist / Data Analyst Resume Examples & Samples

Providing SAS programming guidance and support to the Principal Investigator and other team members
Performing data manipulations and statistical analyses on large data sets containing military personnel and medical reimbursement data
Conducting various types of analyses using logistic regression, analysis of variance, survival analysis, and other techniques as required
Assisting in the development of human use protection protocols, technical reports, and scientific manuscripts for peer-reviewed professional journals
Assisting in preparing and presenting informal and formal briefings at various international and national meeting as well as military activities
Bachelor’s degree and 4 or more years of research experience
Demonstrated experience using SAS, SPSS, R, STATA, or other statistical packages
Knowledge of statistical techniques, including analysis of variance, logistic regression, and analysis of longitudinal data, including survival analysis
Master’s degree in statistics or relevant social science field (e.g., epidemiology, public health, psychology) with a heavy quantitative focus
At least 2 years of significant research experience with large, complex medical records databases, such as data from the Military Health System Data Repository

Data Scientist, / Product Analyst Resume Examples & Samples

Leverage data to perform intensive analysis across all areas of our business to drive product development
Generate ideas for exploratory analysis to shape future projects and provide recommendations for actions
Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends
Create dashboards and reports to regularly communicate results and monitor key metrics
Present findings to senior management to drive business decisions
Collaborate with cross-functional teams across disciplines such as product, engineering, design, research, operations, and marketing

Machine Learning Analyst / Data Scientist Resume Examples & Samples

Demonstrated on the job experience integrating and analyzing large data sets using big data technologies such as GOTS, COTS, Hive, Pig, Twister, Tableau, Visual Studio, Hadoop, HBase, and Blur
Demonstrated on the job experience with XML, JSON, or other Customer standards for data transfer and metadata management
Demonstrated on the job experience proposing, implementing, and evaluating content analytic strategies for characterizing and categorizing large data sets
Demonstrated on the job experience designing and implementing metadata measurement and trend extraction on large data sets
Typically requires bachelor’s degree or equivalent, and five to seven years of related experience
This position requires an active TS/SCI with Full Scope Polygraph

Data Scientist Visualization Analyst Consultant Resume Examples & Samples

Assess requirements of stipulated business needs for analytic solutions against state of the art analytic methods and technologies and consult decisions with respect to the appropriate methodologies, tools and technologies to enable the solution
Effectively communicate solution design elements to other team member such as developers and clients’ key users
Sharing session and involve in numerous community to support the development of own knowledge and advise client-facing analytic professionals engaged in pursuits and delivery
Represent EY’s Data Sciences competency to various internal and external audiences
Practical, strong and advance usage of statistical modelling such as regression analysis, multinomal logit, non-linear regression and others
Experience and expose in statistical analytical tools such as Matlab, SPSS, SAS miner and R language
Experience and expose to visualization dashboard tools such as SAS, Tableau, QlikView, Advance Excel dashboard and others
Ability to work collaboratively with technical teams comprising scientists, developers and business analysts
Accounting-trained and/or academically active professionals (as evidenced by publications or awards) will be viewed favorably
A strong work ethic with high accountability in delivering excellence outcomes
Excellent mindset in delighting and exceeding customer expectation
A willingness to travel to meet client needs; travel is estimated at 50%

Data Analyst / Data Scientist Resume Examples & Samples

Numerate / analytical degree
Excellent communication skills and experience of presenting complex technical information to a non-technical audience
Ability and willingness to take ownership and responsibility for tasks within remit
A desire for continued professional development evidenced by keeping abreast of the latest techniques and software
Higher degree in a related field (e.g. MSc Statistics / Data Science)
Willingness to write papers for publication and/or presentation would be a distinct advantage
Creativity in approach to problem solving

Actuarial Analyst / Data Scientist Team Resume Examples & Samples

Building pricing models for various insurance products, for countries in Europe and other regions, to reflect the risk the company is taking on
Communication of analytical insights within the company
Development of pricing analyses to assist with price setting
Participation in Research and Development - testing of new softwares, methodologies, developing best practise
Collaboration with various departments (underwriting, marketing, claims, IT etc.)
Using innovative statistical methods to deliver business solutions
University education (Master's degree preferred) in Financial mathematics, Actuarial science, Statistics, Quantitative methods
English – advanced, other languages are an advantage
Good knowledge of Microsoft Office package
Knowledge of programming languages is a plus (SAS, VBA, Query languages, etc.)
Understanding of mathematical and analytical softwares is an advantage (R, Python)
Ability to work as a part of the team but also independently
Creativity, open minded and proactive approach
Willingness to embrace the actuarial career
Openness to opportunities for travelling abroad

Data Analyst / Data Scientist Resume Examples & Samples

Minimum 18 months of experience
Strong Data Mining experience
Strong experience of using ML techniques
Some Experience in Algorithm Development
Database Experience: development, programming of, querying and statistical analysis
Understanding of Big Data design and architecture principles
A/B testing of different hypothesis
Strong aptitude for learning new technologies
Good communication, client service, and relationship building skills
Ability to document, explain, and present complex ideas
Team player
Ability to work autonomously
Able to work in time-critical, potentially stressful situations when insights into (new) data sets are required

Data Scientist / Digital Analyst Resume Examples & Samples

Master the data flowing through NPR’s digital platforms and find opportunities for analyses that inform key decisions in content, revenue, and digital product development
Serve diverse needs across the organization, from foundational trend analyses to big questions that require your data science expertise
Uncover insights on audience usage across NPR platforms, including website, apps, podcasts, and social media
Drive the evolution of personalization algorithms and A/B testing in NPR platforms
Innovate how we use behavioral data to engage more deeply with our audiences and drive loyalty and donations to stations
Independently perform data mining techniques and statistical analyses on large data sets to uncover critical patterns and predictive models
Assure data quality and integrity for NPR’s digital metrics systems
Create meaningful dashboards for executives, content leaders and digital newsroom staff, including historical reporting
Develop metrics to measure business performance
Build models to understand media behavior online to discover actionable insights
Communicate effectively with small teams, formal presentations, and at business unit events with engaging storytelling
Develop written communications to address varied styles and information needs
Build strong working relationships at all levels with internal clients and build problem-solving partnerships with clients and colleagues
A degree in computer science, statistics, econometrics, mathematics or information science or related field
2 years of experience in data science, 4 years of experience in digital analytics, ideally in media
Proven ability with digital metrics systems such as Google Analytics or Adobe Analytics. BigQuery experience is a plus
Facile with statistical computing using R, SAS, SPSS, or S-Plus. Data Science Studio experience a plus
Hands-on knowledge of database manipulation through environments such as MySQL
Proven ability in Python or similar
Solid experience with machine learning and data mining
Expertise in decomposing a problem and working through a technical approach and attacking a problem in a systematic way
Experience working with digital product teams in an Agile environment
Strong analysis and experimental design skills with a keen sense for data gaps and inconsistencies
Experience managing data-driven research from project inception to client communication
Experience in developing data visualization independently or with tools
Excellent oral, written and visual communication skills, particularly at explaining complex quantitative information to non-technical audiences
Not just a tolerance but a zeal for multitasking. At the same time show a clear sense for priorities and commitment to follow-through
Ability to work independently with little supervision as well as in collaborative team environment
Self-starter with the ability to work in a constantly changing environment

Data Scientist / Operations Research Analyst Resume Examples & Samples

Ability to program in an object–oriented language, including Java, C++, C#, or Python
Ability to participate in requirements gathering and analysis, process and systems definition, data analysis, presentation of analysis to clients in a comprehensible format, and the development of algorithm–driven products and solutions
Ability to serve as a client interface and help to build and grow existing and current relationships

Big Data Analyst / Data Scientist Resume Examples & Samples

To use advanced quantitative analysis, data mining techniques and strong industry acumen to interpret, connect and predict data (e.g. security, sales/marketing, fab engineering) to deliver insight and recommendations for decisions
To drive improvements based on analysis result; design and develop statistical models based on the operating needs of the organization as well as oversee the ongoing data processing cycles
Work on large data sets of structured, semi-structured unstructured data to discover data insights and collaborate with business partners to deliver business value through these insights
Combine strengths in data management, analysis, applied statistics, visualization capabilities
Ability to work with business teams (e.g. Operations, R&D, Supporting) with a healthy sense of exploration and driving business insights
Develop data analysis solutions based on predictive, behavioral or other models via statistical analysts and use of relevant modelling techniques
Collaborate with engineering, architecture, Big Data solution team, and other teams to ensure that requirements for integration, security, data quality and cross functional usage are addressed
MS or PhD in Mathematics, Statistics, Computer Science, Engineering, Big Data Analytics or other quantitative disciplines
Strong knowledge of statistical methods generally, and particularly in the areas of modelling and big data analytics
Two or more years of data analytics, big data analytics experiences will be an added advantage
Extensive experience solving analytic problems using quantitative approaches and a proven passion for generating insights from data
Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Experience in designing data insight solutions using technologies such as Hadoop/Hive, HBase, NoSQL, Netezza and working with statistical/numerical tools like SAS, Matlab, R/Rapid Miner is preferred

IT Senior Analyst Data Scientist Resume Examples & Samples

Own the implementation of the self-service strategy for the ASDW which includes
Develop datasets with tools such as Alteryx and SQL, document requirements, and work closely with the build team to fully automate into the ASDW
Design and implement training documentation, lunch n’ learns, and webinars on the ASDW
Reverse engineer data models from various source systems and propose designs/solutions to meet user needs from ad hoc requests to rich datasets
Perform advanced analysis of data to identify previously unknown trends and patterns
Apply principles, concepts, and practices of the J&J Leadership Imperatives
Provide coaching/guidance to peers, junior team members, co-ops and/or consultants
A Bachelor’s Degree is Required
A Bachelor’s or Master’s Degree with a concentration in Math, Statistics, Science or Engineering classes preferred
A minimum of 3 years’ experience working with data and analytics required
Knowledge in statistical modeling and/or predictive analytics in a business environment required
A minimum of 1 year working in an Agile environment required
Expertise with analytics tools such as: Matlab, SPSS, R, Alteryx, SQL etc. required
Expertise using visualizations such as stream graphs, tree charts, spider charts, network diagrams etc. required
Familiarity with visualization tools such as Tableau, Spotfire or QlikView required
Experience with Amazon Web Services ecosystem, specifically Redshift, RD and S3 preferred
Strong analytical skills with a proven ability to uncover underlying facts and complex relations in data required
Strong listening, oral and written communications skills required
The ability to facilitate interactive sessions with business and functional personnel required
Ability to work independently involving management when needed required
Demonstrated ability and desire to teach others and share knowledge required6433170328

Visual Data Scientist / Data Analyst Resume Examples & Samples

Data Gathering skills/tools (e.g. SQL, Hadoop, Teradata, SAS, Business Objects, etc.)
Strong collaboration and communications skills
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Data Scientist, Clinical Analyst Resume Examples & Samples

Analyze and interpreting the results of big data analyses
Apply state-of-the-art techniques (data mining, machine learning, artificial intelligence, core mathematical-modeling and dynamic processing to data visualization) to extract actionable insights through analysis of large-scale, high-dimensional data
Collaborate with subject matter experts, academic partners, and internal/external stakeholders to design systems for data collection, cleaning, statistical analysis, and predictive modeling
Generate conceptual models, sharing and articulating those theories and quantifying the limitations of implemented models
Provide guidance on data structures and design for reporting, ad-hoc analyses and propensity modeling driving insights around patients, members and care delivery improvement strategies
Responsible for conceiving, planning, designing, developing, and validating robust algorithms for use in analyzing healthcare models
Masters degree in a quantitative discipline such as bio-informatics, mathematics, operations research, economics, Decision science, health services research or related field
Ph.D preferred
3 or more years of experience in quantitative methods or other relevant work Strong mathematics and science background with sound analytical/computational skills and proficiency in pattern recognition and classification
Experience with machine learning models desired
Comfortable manipulating and analyzing complex, high-volume, highly-dimensional data from varying sources
Familiarity with databases and SQL
Proficiency in statistical programming languages such as R, Matlab, SPSS modeler, or SAS
Ability to design programs to analyze complicated scenarios

Cognitive Business Analyst Data Scientist Resume Examples & Samples

End-to-End customer experience management
Displays proven knowledge and expertise in the digital space digital ecommerce care and marketing analytics space
High attention to detail and always ready to push the limits
3+ years of relevant industry experience in a technical role along with marketing services and ecommerce customer care and marketing analytics at the enterprise level
Experienced with working with clients (Client VP level and Directors), managing expectations, and addressing/resolving issues
Excellent executive communication skills
Bachelor's Degree in Engineering, Operations Research, Economics, marketing, management information systems, computer science or related role
Prior involvement in digital agency marketing consulting customer relationship management and/or customer engagement software and other related business
At least 1 year experience in predictive analytics using statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Spark
At least 3 years’ experience in Business Intelligence and Data Scientist or Architecture including Big Data and Cloud Solutions
At least 3 years experience in technical consulting or related industry fields
At least 3 years experience in Business/Systems, Finance, Retail, CPG, Life Sciences, or Telco Industry
At least 3 years experience in the effective translation of business objectives to system requirements
Readiness to travel Up 80% travel globally
Internal end-to-end customer management
Hands on knowledge of Data Mining, Machine Learning, Artificial Intelligence, and cognitive intelligence
Deep Learning – Reinforcement Learning, Neural Networks, Back Propagation, cNN, rNN, image Processing, Theano, Tensor Flow
Big Data – Hadoop Ecosystem, Apache Spark, Watson Data Platform, Open Whisk
NLP – POS Tagging, Stemming, Name Entity Recognition (Annotators), Knowledge Graph
Statistics – Bayes Theorem, Hypothesis testing, Describing Data, P-values, z & t scores, Correlation, Regression, Accuracy, Precision, Bias, Variance
Experience with recommendation systems, targeting systems and ranking systems

Data Scientist & Data Analyst Resume Examples & Samples

A graduate degree or equivalent in applied statistics, computer science or a quantitative domain
3+ years working experience delivering, scaling, and owning highly successful and innovative analytics and data science products
Experience with a variety of relevant data manipulation languages (Python, R, Go)
The ability to create structure from ambiguity. The opportunity for Uber in the communications space is massive but nascent - we are looking for somebody interested in building a new foundation and scaling from there

Marketing Analyst / Data Scientist Resume Examples & Samples

Draw on experience to work with a variety of tools to access, analyze and visualize data
Utilize superior communication skills to make advanced analytics concepts accessible to non-technical business partners
Collaborate cross-functionally and with executive leadership to define and execute strategies
Demonstrate analytic curiosity and “test and learn” strategies and analysis
Develop the organization’s understanding of consumer behavior through analytics and models and leverage data to create actionable business insights
Work directly with internal and external teams and account leadership to track and report on the digital marketing programs’ performance
Understanding information needs and extracting data from a variety of sources in order to create analytics deliverables that meet those needs
Interact regularly with internal and external clients to provide data retrieval, integration, reporting, and analysis support for digital media initiatives
Mentor other members of the department with the developing of more advanced data science skills such as forecasting, and statistical test design
Design, implement and analyze controlled experiments to assess and optimize new opportunities across digital channels
Extensive knowledge of SQL queries and demonstrated experience with modeling software; familiarity with big data a plus
Advanced Excel skills with a focus on formula development and creating macros. 3+ years using Excel for business analysis
Deep experience and advanced capabilities with a variety of tools to access, analyze, and visualize data
Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series)
Knowledge of customer segmentation techniques and lifecycle management
Proven experience manipulating data sets and combining multiple data sources to produce valuable business insights
Deep understanding of digital data sources and tags, with hands on experience in web analytics/testing tools including Google AdWords and Google Analytics
Ability to effectively communicate technical work to non-technical audiences is imperative
Familiarity working with business intelligence platforms
Digital marketing experience is preferred. 3-5 years’ experience in marketing, with a focus on direct/database marketing
Bachelor’s degree in quantitative field such as Mathematics, Statistics, Management Science, Finance or other relevant area is preferred
Strong ability to collaborate and partner with cross-functional business partners and vendors to execute strategy
Must have the ability to handle a multitude of diverse responsibilities and work independently to achieve desired results; have sound judgment and business acumen
Health Insurance - Medical, Dental and Vision
401k and discretionary 8% match
Profit Sharing
Vacation, Holidays & PTO
New Home Discount for Team Member & Family
Team Member Product Discount
Community Outreach
Sabbaticals
And More!

Gbsc Analyst Data Scientist Resume Examples & Samples

Support multiple analytics projects and initiatives within GBSC and Mastercard
Identify, design and implement data and process automation solutions to support GBSC Operations and the global organization
Build and support an infrastructure to enable effectively working with large sets of unstructured and structured data
Maintain legacy applications (MS Access with VBA) and create a roadmap for implementation of
Develop new queries and Alteryx flows for extracting, transforming and analyzing data to address project requirements
Develop dashboards and reports that adhere to the visualization best practices and communicate a story
Participate in drafting documents and presentations for communicating innovations, ideas, or discoveries
Contribute to strengthening motivated, innovative and productive team that creates next generation analytics for the shared services center and Mastercard
Generate and implement ideas to continuously improve analytics and reporting services delivery
Work closely with finance teams and internal customers (GBSC Operations) to identify short-term and long-term objective alignment
Proficiency with Alteryx and Tableau
Data modeling
Knowledge of a programming language like R or Python is a plus
Experience with machine learning algorithms and methods is a plus
Experience with predictive analytics and optimization models is a plus

Data Analyst / Data Scientist Resume Examples & Samples

Working with large, complex data sets
Solving difficult, non-routine analysis problems, applying advanced analytical methods as needed
Conducting end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
Building and prototyping analysis pipelines iteratively to provide insights at scale
Interacting cross-functionally with a wide variety of people and teams to support broader project requirements or client business user questions
Making business recommendations (e.g. cost-benefit, forecasting, and experiment analysis) with effective presentations of findings through visual displays of quantitative information
After the creation of models, assisting engineering team(s) to implement those models in a variety of technology platforms (as mentioned below in qualifications)
Working autonomously with limited direction from client or project team to solve a problem
Leverage data science and advanced analytics tools to profile and assess data quality and conversion requirements relative to client business scenarios
Experience in analytics capabilities of one or more public cloud platforms (AWS, Google, Azure)
Experience in using tools and techniques to profile and integrate heterogeneous data that includes structured as well as unstructured/semi-structured formats
Working knowledge of SQL/ NoSQL databases
Hands-on functional knowledge in one or more programming languages: Python , Node.Js, R, Java highly desirable
Experience with Big Data Technologies and Tools: Hadoop, Hive, Pig, MapReduce, Spark, Spark Mlib, Mahout beneficial
Education Level that includes a B.S. or MSc in mathematics, statistics, engineering, computer science, or other related engineer field
Understanding of the principles of Data Lakes and Modern Data Warehouse platforms
Knowledge of the role of data taxonomies, ontologies, NLP and MDM in the processing and consumption of non-traditional data sources
Familiarity of Agile methodology and experience working in a fast paced engineering team environment
Experience working in an consultative environment focused on client’s needs
Excellent presentation, written, and verbal communication skills
A desire and aptitude for learning new technologies

Data Scientist / Program Analytics Analyst Resume Examples & Samples

SAS programming
Developing new analytic modules
Data mining and reduction techniques
Mixed modeling in PROC MIXED
Developing and designing aggregates used for modeling and analysis 6. Analytic consulting including scoping requirements and design 7. Working across stakeholders and markets to tailor analytics based on specific market needs

Business Analyst / Data Scientist Resume Examples & Samples

Exposure to a wide group of business partners including senior management
Develop understanding of financial products, business processes and systems, IT architecture, data governance and data convergence opportunity
Project experience including analysis, testing and implementation
Systems experience potentially including big data solution, Alteryx, Tableau, HP ALM, JIRA and in-house systems used by the bank
You have 2-4 years of Requirements Management or Data Scientist experience
You have very good communication skills in English (written, verbal, presentational)
Good teammate with experience in an international environment
You are passionate in working with huge volumes of data
You have solid analytical skills and the ability to define and apply logical approaches to issue resolution
Background in mathematics, statistics or computer science
You have an understanding of banking and financial processes
Expertise in data analysis and visualization tools like: MS Excel/Access, Tableau, Alteryx, data querying languages (e.g. SQL)
Additionally it will be an asset if you are familiar with: big data, Hadoop, machine learning, data mining & visualization, programming

Data Scientist / Intelligence Analyst Resume Examples & Samples

3+ years of experience in the IC
3+ years of experience with intelligence analysis
Experience with SPSS, SAS, Python, and other data science tools
Ability to communicate succinctly and in both data science and intelligence analytic terms
HS diploma or GED
Possession of excellent written communication skills
Possession of excellent analytic skills
SAS, SPSS, Python, or other related data science program Certification or training

Senior Data Analyst / Data Scientist Resume Examples & Samples

Develop a deep understanding of business and the key metrics to measure performance of Growth campaigns
Partner with Growth operations team to understand their needs and independently work on a variety of growth analytics projects focused on delivering insights, dashboards and custom reports to help efficiently grow Poshmark’s community
Extract required data from internal systems, develop reports and analyze them to derive insights and understand and monitor key trends in relevant metrics
Perform extensive QA on data to ensure the quality of data. Follow the standard process for reporting any issues identified and work with Data team to close the data issues
Proactively identify improvement opportunities through systematic and rigorous measurement and analysis
Maintain required documentation to ensure inventory of all key findings and growth opportunities
Identify the right metrics needed to appropriately manage our business, and work with Data Engineering team to implement the data collection needed

Data Analyst / Data Scientist Resume Examples & Samples

Meeting with a prospective client to learn about their business problems
Helping build a prototype for a client project
Analysing a massive data set
Running a workshop to gather information for a project
Extracting data from various systems for project
Preparing a dashboard or data visualisation for a clients
Extensive data analysis skills with strengths in drilling into underlying databases for discovery and identifying opportunities
Applying computer-aided statistical modelling to solve business problems
At least one of the following modelling software packages: MATLAB, R, SAS, SPSS
Data visualisation using Tableau / Qlikview / D3.js
Tertiary qualifications (a Masters or PhD degree) in a quantitative discipline, such as Statistics, Econometrics, Applied Mathematics, Engineering, Applied Science., or equivalent highly desired

HR Senior Data Analyst / Scientist Resume Examples & Samples

Analyze and portray information based on a host of HR-related data and performance indicators
Develop reports, prepare analyses and make predictions based on data and analysis
Prepare recommendations for decisions based on data and analysis
Identify data gaps; make recommendations for what HR data needs to be maintained
Participate on internal project teams to provide data and/or assist with analysis and interpretation for project efforts
Bachelor's degree in business or public administration, human resources, statistics, data management/data analysis or a related field
5-8 years or the equivalent combination of education and/or relevant experience
Advanced skill level in Microsoft Excel; proficiency in all other Office Suite tools
Experience utilizing business analytics software is preferred (e.g. Microsoft Power BI, Tableau, Microsoft BI stack, etc.)
Experience with research methods, data evaluation and analysis using data science and/or statistical tools such as (SAS, SPSS, R, R-Stat, Python)
Familiarity with HR/CRM systems and processes (e.g. PeopleSoft)
Must have solid knowledge and recent experience with Microsoft development technologies with special aptitude in SQL Server 2012
Must have advanced-level SQL / Transact-SQL development skills (using SSMS and/or Toad)
Must be a methodical and pragmatic problem-solver who inspires confidence and trust with internal staff and users
Must have a strong sense of teamwork, active listening skills and negotiation and influencing skills
Must have experience using one or more of the following (SAS, SPSS, R, R-Stat, Python)
Ability to balance multiple priorities, research issues and work independently
Ability to show the utmost respect for others and participate as a team player
Ability to maintain computer software skills, including advanced Excel and/or business analytics skills
Ability to learn and become a power user of business analytics software
Should have exposure to Agile development methodologies, tools and processes (Kanban or Scrum)

Data Scientist / Intelligence Analyst Resume Examples & Samples

Experience with SPSS, SAS, Python, and equivalent data science tools
Ability to communicate succinctly in both data science and intelligence analytic terms
SAS, SPSS, Python, or related data science program certification or training

Data Analyst / Scientist Resume Examples & Samples

The tasks this individual is responsible for are often non-routine and unstructured, requiring creative solutions
This individual will apply attained experiences and knowledge in solving routine to moderately complex problems
A minimum of 8 years of proven working experience as a data analyst or business data analyst
BS in Mathematics, Engineering, Computer Science, Information Management, or Statistics
Demonstrated ability to have completed multiple, moderately complex projects

Data Scientist / Program Analytics Analyst Resume Examples & Samples

Developing and designing aggregates used for modeling and analysis
Analytic consulting including scoping requirements and design
Working across stakeholders and markets to tailor analytics based on specific market needs

Visual Data Scientist & Data Analyst Resume Examples & Samples

Candidates should have experience with tools in each of these areas
Visualization skills/tools (e.g. QlikView, Tableau, WebFocus, etc.)
Strong understanding of analysis and computational complexity and ability to programmatically solve problems
Strong capabilities at designing visual interface for data interaction
Data Analysts will also have business development and relationship building to establish partnerships with third parties and internal stakeholders
Communicate findings to make data analysis actionable and understandable by business partners
Ability to take complex problems and break them down to create an implement an action plan
Position is part of Global Data Insight & Analytics Team as a Data Scientist/Analyst in Descriptive Analytics
Bachelor degree from accredited university required Master's degree preferred with a strong background in data science preferred

Senior Financial Analyst, Data Scientist Resume Examples & Samples

25% Oversee the administration of financial policies
25% Conducts special financial studies and coordinates with other departments in the preparation of statistical studies
25% Performs internal and external economic research and analyzes issues related to specific financial metrics to ensure competitiveness
5% Compiles or prepares reports, graphs and charts of data developed
10% Recommends changes in financial analysis methods or procedures
10% Assists and supervises Financial Analysts in the daily preparation and conduct of their work

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