Data Analyst / Data Scientist Resume Sample

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Ebba Runolfsson
62209 Gregory Roads,  Detroit,  MI
+1 (555) 356 7980

Work Experience


HR Senior Data Analyst / Scientist
09/2015 - PRESENT
San Francisco, CA
  • Effectively communicate solution design elements to other team member such as developers and clients’ key users
  • Represent EY’s Data Sciences competency to various internal and external audiences
  • Collaborate with business partners to understand business objectives goals and then develop a clear and well-defined analytic plan that supports obtaining those objectives
  • Support the analytic life cycle
  • Highly proficient in the use of MS Office products
  • Write SQL to gather data
  • Proficient in one or more computer programming languages, or, proficient in statistical analysis and machine learning
  • Basic understanding of data visualization
Data Analyst / Scientist
11/2010 - 08/2015
Phoenix, AZ
  • Knowledge of structured data platforms
  • Adequate oral and written communication and human relations skills
  • Strong problem solving skills and a high level of intellectual curiosity
  • Potential to self-direct and work independently at times
  • Perform gap analysis and identify process improvement needs
  • Lead analysis from problem definition through implementation and control
  • Understand and translate operational complexities
Marketing Analyst / Data Scientist
05/2008 - 06/2010
Boston, MA
  • Design and develop models to visualize the problem
  • Lead in the creation of measurement systems to track project success and goal attainment
  • Determine the appropriate tools and methodologies to effectively and efficiently lead problem-solving sessions for the teams, as needed, throughout the enterprise
  • Test possible solutions utilizing operations research tools and techniques
  • Plan, perform and evaluate experimental operational experiments where appropriate
  • Draw conclusions from previous tests in order to create new hypotheses
  • Publish findings and recommendations to project team, management and operations research peers
  • Participate in the approval of project closures and formal transition to the process owners

Education


Harvard University
2004 - 2008
Science's Degree in Operations Research

Professional Skills


  • Excellent cooperation skills and willingness to learn new skills
  • Effective organizational skills and solid team background Maintained through effective communication skills
  • Excellent inter-personal and communication skills, complemented by the ability to prioritise workload with attention to detail and a sense of timeliness
  • Experience in data analysis skills with strengths in drilling into underlying databases for discovery and identifying opportunities
  • Experience demonstrating skills in conducting complex statistical analysis in a business or academic setting
  • Possession of excellent presentation skills, including presenting complex information to non–technical audiences
  • Strong troubleshooting skills in working with complex server configurations

How to write Data Analyst / Data Scientist Resume

Data Analyst / Data Scientist role is responsible for sql, organizational, programming, reporting, analysis, analytical, sas, business, research, software.
To write great resume for data analyst / data scientist job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Data Analyst / Data Scientist Resume

The section contact information is important in your data analyst / data scientist resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Data Analyst / Data Scientist Resume

The section work experience is an essential part of your data analyst / data scientist resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data analyst / data scientist responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data analyst / data scientist position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Data Analyst / Data Scientist resume experience can include:

  • Key contributor in the process improvement engineering activities within a cross-functional design team. Collaborate in developing sustainable processes and solutions that drive manufacturing, supply chain and in-store efficiencies, eliminate non-value-added activities and enhance our internal and external Customer experience
  • Excellent SQL and JavaScript skills
  • Excellent communication and presentation skills report
  • Experience: (Ph.D. || Masters || equivalent experience) & 5+ years industry experience
  • Experience: (Ph.D. || Masters || equivalent experience) && 5+ years industry experience
  • Experience using a programming language – experience with datasets and SAS/ SQL / R would be an asset

Education on a Data Analyst / Data Scientist Resume

Make sure to make education a priority on your data analyst / data scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data analyst / data scientist experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Data Analyst / Data Scientist Resume

When listing skills on your data analyst / data scientist resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical data analyst / data scientist skills:

  • Good verbal and written communication skills; able to effectively present analytics data to Business and Marketing users
  • Solid critical thinking and research skills
  • Strong programming skills in Python, SAS or R, SQL
  • Strong analytical and problem solving skills, balanced by the ability to apply common sense
  • Strong SQL skills and the ability to use tools such as Python, R, and Excel to work efficiently at scale with large data sets
  • Strong experience creating and using of machine learning algorithms and statistics

List of Typical Experience For a Data Analyst / Data Scientist Resume

1

Experience For Data Analyst / Scientist Resume

  • Effective organization skills and solid team background maintained through effective communication skills
  • Good Knowledge and experience with reporting packages
  • Perform data analysis, develop insights, and effectively communicate the results to the stakeholders
  • Coding knowledge and experience in several languages (C#, C++, Java
  • Hands on experience in collecting, integrating, processing, and analyzing data
  • Experience with machine learning, data mining, optimization, statistics, or graph-based algorithms
  • Good understanding of statistical methods and machine learning algorithms
  • Experience querying databases and using of statistical languages (R, Python, SQL)
2

Experience For Marketing Analyst / Data Scientist Resume

  • Experience in data mining, discovering of patterns within large data and statistic interpretation
  • In a quantitative field with at least two years' experience practicing diverse set of operations research tools and techniques
  • Develops project plans based on CRISP and project management approach incorporating experience into estimates and risk mitigation
  • Experience utilizing statistical techniques to analyze data
  • Experience extracting data via multiple methods: Java script, db2, Teradata, Oracle, ETL scripts
3

Experience For Data Scientist / Digital Analyst Resume

  • Supports all enterprise units including Business Units and Skill Teams
  • Experience with distributed data/computing tools (Hadoop, Spark)
  • Experience using business intelligence tools to retrieve, analyse, transform and report data for business use
  • Experience of VBA or other programming methods
  • Experience in data analyzing and visualization
  • Supports all enterprise units including Business Units and Skill Team
  • Experience in data collection, integration, processing and analysis
4

Experience For HR Senior Data Analyst / Scientist Resume

  • Experience doing quantitative analysis
  • Experience in a consumer tech Product Analyst or Data Science role
  • Strong familiarity with Oracle databases and tools
  • Reviewing and providing input into the requirements and obtaining sign offs from the business side
  • Collaborating with Analytics and IT teams to transforming the data for use in modeling and visualizations
  • Building visualizations Identify relationships in data to assist in providing insights
5

Experience For IT Senior Analyst Data Scientist Resume

  • Designing and supporting ETL framework for DW and MDM
  • Working knowledge of core Banking concepts and products
  • Translating high-level business requirements into user stories and actionable tasks
  • Performing variety of analysis tasks with the aim to provide Subject Matter Expert inputs to projects
  • Delivering enhancements to the banks data governance and data quality measurement processes
  • Ensuring consistency of functional and business requirements
  • Working with other Finance Change people and IT to enable smooth adoption of change by the business and go-live
  • Understanding of agile software development in a DevOps environment
  • Presenting to the stakeholders to inform/educate them about the findings of the analysis
6

Experience For Cognitive Business Analyst Data Scientist Resume

  • Designing visual interface for users to interact with the data
  • Understanding of Pearson’s efficacy agenda
  • Working knowledge of regulatory landscape
  • Demonstrating your ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process
  • Lead data management processes, including data verification, cleaning, quality assurance, and merging
  • Execution of all phases of quantitative research projects: identifying the business problem, data exploration, modeling, communication of final results
  • Lead testing preparation and execution for different testing phases
  • Designs, builds and implements advanced analytics models (including predictive) and various operational and pricing models
  • Advocate the use of deep learning and other advanced machine learning algorithms to extract novel insight from healthcare data assets
7

Experience For Research Scientist / Data Analyst Resume

  • Responsible for creating new data visualizations, including-
  • Responsible for creating new data visualizations, including
  • Develop in-depth understanding of underlying data, data structures, KPIs, and business uses of data to provide clear data visualizations and analysis
  • Leverage presentation expertise, including presenting complex information to non-technical audiences
  • At least one of the following scripting languages: C++, Java, Python
  • Work independently and Accountable for multiple concurrent Projects while delivering accurate and appropriate findings
  • Build models to enhance understanding of user behavior and predict future performance of cohorts
  • Design and implement training documentation, lunch n’ learns, and webinars on the ASDW
8

Experience For Actuarial Analyst / Data Scientist Team Resume

  • Design, develop, and implement health care analytic and biomedical modeling programs
  • Knowledge of statistical and reporting methodologies
  • 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
  • Interpret data, analyze results using statistical techniques and provide reports
  • Extract data from a variety of systems via extraction, transformation, and loading (ETL)
9

Experience For Gbsc Analyst Data Scientist Resume

  • Research and document conceptual, logical and physical data models along with corresponding metadata
  • Responsible for creating new data visualizations
  • Design, develop, and operationalize quantitative solutions that provide actionable insights required for institutional decision making
  • Drive the collection of new data and refine, process, and integrate existing data sources
  • Perform data manipulations and transformation on raw data using SAS to create analytics friendly datasets for research projects
  • Maintain and update documentation on all processes and procedures, including data dictionaries and codebooks
  • Conduct statistical analyses, including logistic regression, analysis of variance, survival analyses and other techniques as required
  • Contribute to the preparation of study deliverables, including presentations, reports, and publications
10

Experience For Data Scientist, Clinical Analyst Resume

  • Create data documentation including mappings and quality thresholds
  • Provide support to stakeholders experiencing issues with delivered solutions
  • Familiarity with ERP software applications (SAP, Forecasting Systems)
  • Actively participate in the preparation of special reports and other ad hoc reporting projects
  • Enterprise Desktop Engineering Services
  • Enterprise Network Engineering Services
  • Provide thought leadership on operational metrics definitions and develop KPI reporting and scorecards to facilitate operational cadence
  • Collaborate with engineering and product development teams

List of Typical Skills For a Data Analyst / Data Scientist Resume

1

Skills For Data Analyst / Scientist Resume

  • Excellent interpersonal, organizational and time management skills, even when under pressure
  • Demonstrated experience developing solutions in a transactional environment
  • Analytical skills and ability to create compelling readouts and insights
  • Experience leading others in effective use of operations research
  • Demonstrated experience working with large data sets
  • Data analysis skills using statistical software, e.g. SAS / SPSS / R
  • Programming skills in R, MATLAB, SQL and/or SAS required
  • Prior experience in Business Intelligence, Business Analytics or Data Science
2

Skills For Marketing Analyst / Data Scientist Resume

  • Demonstrated SAS expertise with 3 years of experience
  • Some prior experience in adjacent technologies
  • Possess analytical skills and be proficient in Excel and various other analysis applications and systems
  • Strong knowledge of and experience with PostgreSQL, MySQL, MSSQL, Programming
  • Manages materials/technology effectively to best deliver value and quality to clients
3

Skills For Data Scientist / Digital Analyst Resume

  • Having a background, exposure and experience in supply chain process, manufacturing, agriculture or telecommunication industry is favorable
  • Import, clean and transform, validate or modeling data with the purpose of understanding or making conclusions from the data for decision making purposes
  • Experience with querying databases programmatically using scripting languages
  • Experience with querying databases, programmatically using scripting languages
  • Experience in statistical analysis, quantitative analytics, and / or forecasting / predicting analytics in a corporate or Post Graduate setting
  • Experience applying machine learning preferably using distributed systems like Hadoop, Hive, Spark or similar libraries
  • Experience developing solutions using advanced machine learning techniques, e.g. RNN, LSTM
  • Experience in applying a broad range of quantitative techniques (statistical modeling, machine learning…) to solve real world problems
4

Skills For HR Senior Data Analyst / Scientist Resume

  • Experience analyzing complex sets of Data and Developing recommendations and/or publishing findings
  • Experience performing analysis of data through use of mathematical algorithms, filtering tools and techniques using R and Excel
  • Experience analyzing, determining and documenting the characteristics of system data
  • Experience with reporting and KPI’s and capacity of producing relevant documentation
  • Experience with modeling and forecasting applied to business
  • Experience in forecasting, material requirement management, inventory management, logistics management, or a customer supporting role is desirable
  • Experience with agent–based modeling, discrete event, system dynamics, optimization, or Monte Carlo modeling
5

Skills For IT Senior Analyst Data Scientist Resume

  • Experience with one or more scripting or scientific languages, including Java, Python, C++, or R
  • Experience with concepts of agent–based modeling, discrete event, system dynamics, optimization, or Monte Carlo modeling
  • Experience with machine learning, data mining, optimization, statistics, and graph–based algorithms
  • Experience with machine learning, data mining, optimization, statistics, and graph-based algorithms
  • Experience in working with relational databases and proficiency in SQL scripting
  • Experience in constructing and analyzing complex databases
  • Experience conducting research using medical records or medical reimbursement data
6

Skills For Cognitive Business Analyst Data Scientist Resume

  • Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments
  • Show excellent data gathering, analytical, and problem-solving expertise
  • Experience developing complex reporting and analytics applications
  • Experience using internal and publicly available data sources to enrich research and analysis
  • Experience improving research, analysis and insight generation
  • Experience in a Home Care, Managed Care, and/or MLTC setting
  • Experience with advanced modeling and simulation software
7

Skills For Research Scientist / Data Analyst Resume

  • Experience with developing statistical and simulation models
  • Experience with using VBA, Microsoft Excel, R, Python, or SAS for data analysis
  • Experience with translating design mockups and prototypes into application designs
  • Experience with developing Rich report visualizations
  • Experience with using VBA, Excel, R, Python, or SAS for data analysis
8

Skills For Actuarial Analyst / Data Scientist Team Resume

  • Experience with presenting complex information to non-technical audiences
  • Experience with translating design mock ups and prototypes into application designs
  • Experience with cloud computing with exposure to big data technologies (Hadoop/S3, Spark, Hive)
  • Experience in computer Programming, Data visualization, and/or mathematical analysis
  • Experience with automation, machine learning, or artificial intelligence
  • Experience in working with large and complex data sets
  • Experienced programmer in programming languages extensively used in data analytics: e.g. R, Python
  • Experience in programming languages extensively used in data analytics, preferably Python and SQL
  • Full stack experience in data collection, aggregation, analysis, visualization, productizing and maintenance of analytics products
9

Skills For Gbsc Analyst Data Scientist Resume

  • Knowledge and experience using major statistical analysis tools
  • Experience in Business Intelligence and Data Scientist or Architecture including Big Data and Cloud Solutions
  • Working experience in the automotive industry
  • Experience with Power BI, Tableau, Business Objects, Google Analytics and similar tools used to capture and manage data and provide insight is required
  • Experience with data visualisation
  • Design and implement data product prototypes to demonstrate the value of a particular approach
  • Experience with the advanced use of Microsoft Excel and Access
  • Work in a dynamic team-oriented environment, demonstrate initiative, and function productively in a fast pace work environment
  • Experience with VBA, Excel, R, Python, or SAS for analysis of data
10

Skills For Data Scientist, Clinical Analyst Resume

  • Experience with VBA, Excel, R, Python, and SAS for analysis of data
  • Experience with R or Python, or equivalent data exploration work with other technologies such as Matlab Scilab, Julia, etc
  • Hands-on experience in data analysis tools.
  • Experience in visualization tools such as Spotfire or Tableau would be an asset
  • Proven ability to build statistical models, test hypotheses, visualize, summarize, interpret, and report results

List of Typical Responsibilities For a Data Analyst / Data Scientist Resume

1

Responsibilities For Data Analyst / Scientist Resume

  • 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
  • Proven experience as a Data Scientist, Data Analyst or similar Data role
  • Solid understanding of statistics and ability to design experiments and analyze results
  • Team player, able to quickly establish effective working relationships
  • Experience with open source or commercial data visualization tools/libraries such as Bokeh, Highcharts, Chart.js, Plot.ly, Tableau etc
  • Work experience (incl. internships) in Business, Financial industry or e-commerce would be an asset
  • Strong mathematics and statistical background
2

Responsibilities For Marketing Analyst / Data Scientist Resume

  • Relevant experience
  • Advanced knowledge and experience with SQL, SaS, R, Python, or similar languages
  • Audit experience at large financial services institutions
  • Strong written and verbal communications at all levels of management
  • Strong practical understanding of the application of analytics to business issues across multiple industries and varying size clients
3

Responsibilities For Data Scientist / Digital Analyst Resume

  • Able to demonstrate a collaborative work approach and support colleagues to work together to achieve success
  • Experience with Microsoft SQL Server and Access
  • Experience in data visualization, preferably Tableau
  • Experience with ability to query and aggregate data from a variety of data sources (SQL, Alteryx)
  • Manage, prioritize, and respond to ad-hoc requests
  • Designing and implementing technical solutions to enable monitoring of levels of risks, often by means of a user-friendly dashboard
  • Understanding of big data manipulation and analysis techniques
4

Responsibilities For HR Senior Data Analyst / Scientist Resume

  • Enhancing company’s data with third party sources of information when needed
  • Develop the overall supply chain systems to optimise inventory levels including the development of the Sales Inventory and Operations planning processes (SIOP)
  • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights, not just reporting data
  • Research, design and implement reporting infrastructure that leads to automated and flexible reporting
  • Mine and analyse data from company databases to drive optimisation and improvement of business processes, product development and marketing techniques
  • Aptitude and interest to learn and keep current on Data Science and Machine Learning trends and techniques
  • Proficient knowledge of advanced statistical analysis and data mining methodologies
  • Attractive salary and an outstanding Benefits package (medical, dental, vision, 401K, tuition reimbursement, technical certifications, generous paid vacation)
  • We work with some of the world’s most influential businesses on many of their most exciting Bigdata and IoT projects
5

Responsibilities For IT Senior Analyst Data Scientist Resume

  • Assess the business impact of requested and ongoing analysis improvements
  • Participate on project teams tasked with advancing Analytics and Data Science at KEMET – From descriptive to predictive and prescriptive analytics
  • High proficiency in databases (e.g: MySQL) and query languages (e.g: SQL)
  • Design experiments and interpret the results to draw detailed and actionable conclusions
  • Develops and maintains analytical dashboards driven from insight learned from the modeled outputs
6

Responsibilities For Cognitive Business Analyst Data Scientist Resume

  • Prepares, manipulates and maintains the flow of data into dashboards and data models
  • Applies advanced analytic techniques such as machine learning, data mining and statistical modeling to design and implement mathematical models and algorithms into real-world parking scenarios
  • Works on modeling occupancy, demand and seasonality, as well as other inputs, to optimize the right price at the right time for our right customers
  • Processes, cleanses and verifies the integrity of data used for analysis
  • Plans and organizes complex work streams
7

Responsibilities For Research Scientist / Data Analyst Resume

  • Develop and implement data collection procedures
  • Acquire data from primary or secondary sources and maintain database / data systems
  • Filter and Clean data-set as and when required
  • Identify, analysis and interpret trends or patterns in complex data -set
  • Perform design and development Extract, transform and load ( ETL )
  • Research and document data flows, entity relationships, data sources and data attributes
  • Become an integral member of our data science team to discover insights and identify opportunities through the use of statistical, data mining and visualization techniques
8

Responsibilities For Actuarial Analyst / Data Scientist Team Resume

  • Advise project teams and project sponsors
  • Create reports and insights into data in support of business analysts and engineers
  • Identify and help resolve data lineage and quality issues as they arise
  • BS in Statistics, Operations Research, Mathematics, Computer Science, Physics, Economics, Finance, Public Administration, Public Policy or other quantitative disciplines
  • Knowledge of open source or commercial data visualization libraries/tools
  • Think creatively, and solve problems
  • Work in highly collaborative and dynamic work environment
  • Work with research team to refine research methodology and construct database to appropriately answer study questions
  • Access various secondary data sources to extract relevant data and construct comprehensive, project-specific datasets
9

Responsibilities For Gbsc Analyst Data Scientist Resume

  • Provide specialized business support through in-depth data analysis and research
  • Produce moderate ad hoc data counts, stats, and examples as required
  • Independently design queries to assess data for research purposes
  • Independently run complex data statistics and data profiles
  • Design, complete, and present new data evaluations to diverse audiences
  • Investigate, track, and report data issues (functional, type, quality, etc.)
  • Conduct routine data review and verification and ensure corrections/clarifications are made rapidly
  • Assist with production of detailed information, requirements, and/or instruction to internal resources regarding, but not limited to: data analysis, data correction, data questions, and new data projects.Search Jobs US
10

Responsibilities For Data Scientist, Clinical Analyst Resume

  • Develop and maintain custom data models and algorithms to be used in predictive modelling to increase production efficiency, revenue generation or other business outcomes
  • Cooperate with other teams to implement models and monitor outcomes
  • Engage functional organizations including product management, engineering, marketing, sales, services, customer success, and finance to understand issues, goals, and gaps
  • Quickly understand patterns and key characteristics of data, with strong data visualization techniques
  • Mine, analyze and model relevant data and prepare visualizations to communicate data-driven insights
  • Define business requirements and specifications for more automated and agile data acquisition, manipulation and presentation, and work with IT organization to implement

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