Statistical Data Analyst Resume Samples
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Statistical Data Analyst Resume Samples
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MT
M Torphy
Mortimer
Torphy
3222 Archibald Expressway
Dallas
TX
+1 (555) 599 5523
3222 Archibald Expressway
Dallas
TX
Phone
p
+1 (555) 599 5523
Experience
Experience
Houston, TX
Statistical Data Analyst
Houston, TX
Lang-Lindgren
Houston, TX
Statistical Data Analyst
- Assist in the strategic effort to influence internal stakeholders at all levels of the organization to take action based on insights generated
- Proven track record developing and maintaining complex data artifacts
- Strong work ethic, results oriented, and accuracy / attention to detail are critical
- Transform and analyze large amounts of data to develop candidate and customer strategic insights
- Present reports to all levels of management to summarize analytic projects, data quality and usage metrics, and data integration intelligence
- Perform exploratory data analysis, rapid analytic prototyping and presenting creative ideas to exploit data to drive deeper
- Analyze data, identifying trends, insights, and improvement recommendations including but not limited to
Detroit, MI
TSA Statistical Data Analyst
Detroit, MI
Schumm, McClure and D'Amore
Detroit, MI
TSA Statistical Data Analyst
- Writing reports that explain data results and their associated impacts
- Managing large datasets in relational databases (MS-Access and SQL Server)
- Creating test plans and data collection strategies
- Conducting statistical analyses
- How a new user interface impacts screening efficiency
- How a new type of pat down procedures impacts passenger wait times
- Leveraging new & existing Big Data & Cloud technologies contribute to the innovative design, development and
present
Detroit, MI
Engineering Statistical Data Analyst
Detroit, MI
Hilll Group
present
Detroit, MI
Engineering Statistical Data Analyst
present
- Work with tools such as SampleManager LIMS, and Discoverant
- Monitoring biological data, providing statistical support during investigation
- Test data software management and analysis programs
- Support statistical analysis of method performance and manufacturing product data for Biologics
- Support data compilation and verifications
- Report trends observed with data
- BS or MS Life Sciences or Statistics
Education
Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
Iowa State University
Bachelor’s Degree in Statistics
Skills
Skills
- Ability to process large quantity of web traffic data and extract relevant, actionable insights
- Ability to communicate and work effectively with business managers and diverse cross-functional groups
- Ability to interpret and present complex analytical results
- Ability to collaborate with peers and cross functional teams
- Proficient in SAS, R and other similar tools
- Ability to understand, manage and navigate large data sets and experience with big data architectures such as Hadoop, MapReduce, In-memory database systems etc
- Good understanding of high-level data architecture, data models and flow patterns
- Ability to accommodate change and adapt accordingly
- Flexible and responsive with ability to adapt to rapid change in direction or business priority
- Highly analytical and creative thinker
6 Statistical Data Analyst resume templates
Read our complete resume writing guides
1
Statistical Data Analyst Resume Examples & Samples
- The Statistical Data Analyst is responsible for
- Provide proactive data analysis of large structured and unstructured datasets involving a wide range of systems across
- Group Functions (i.e., Finance, Treasury, Risk, Human Resources, Brand & Communications)
- Perform exploratory data analysis, rapid analytic prototyping and presenting creative ideas to exploit data to drive deeper
- Insights and business value
- Engage with business users across Group Functions to understand operational & informational pain points and drive
- Analytic solutions to address challenges
- Leveraging new & existing Big Data & Cloud technologies contribute to the innovative design, development and
- Management of data analytics labs supporting Group Functions to increase knowledge and insight from enterprise data
- Assess the completeness and accuracy of data through data analytical methods, identifying gaps in data, provide
- Feedback to business and system owners with guidance and options to obtain missing information
- Evaluating existing and proposed data models and how to best access and query them as well as existing and proposed
- Data interfaces and how to clearly document them, including specification of data flow models, data flow timing, data
- Mapping, and data transformation rules including data validations and controls
- 3-5 years related industry experience in working within Data & Analytic Management environments
- University Degree or College Diploma in Mathematics, Statistics, Computer Science, Economics, Engineering or any
- Related field
- Experience and knowledge with analytic methods (i.e., descriptive statistics, predictive modeling, multivariate methods,
- Machine learning)
- Experience delivering data documentation artifacts in organizations of similar size and complexity within project
- Deadlines
- Able to communicate clearly, both verbally and in written form at various levels within the project teams
- Strong work ethic, results oriented, and accuracy / attention to detail are critical
- Demonstrated initiative, able to work both independently and as a team member
- Proven track record developing and maintaining complex data artifacts
- Experience writing complex SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big
- Data environments (i.e., HADOOP, SPARK)
- Technical skills & proven experience with data science tools such as SAS, R, Python,Tableau
- Able to clearly communicate complex methodologies and approaches to stakeholders, peers and management
- Able to work in agile or scrum delivery environments
2
Senior Statistical Data Analyst Resume Examples & Samples
- Building a deep understanding of our products and become the de-facto expert on all analytics data collected
- Working with publishing and design to document hypothesis/questions that we want to validate/answer
- Working closely with engineers to define requirements for what analytics events we need to capture
- Helping to define and build ETL processes for getting data into a form used by analysis and dashboards
- Performing in-depth analysis on said data to provide insights to the publishing, development, teams and other stakeholders
- Documenting requirements, develop, and deliver both written reports with analysis and charts on a dashboard
- Taking accountability to the quality of data coming out of our products, and working with engineering and QA to consistently monitor and improve our data
- Previous professional experience as an analyst
- Skilled in using SAS and/or R for data analysis
- Experience creating ETL processes for converting raw data into data useful for analytics
- Passion for both video games and analytics
- Preference to applications with experience in data visualization, machine learning, Tableau, Pig, Hive, Python, or basic web programming in Javascript
3
Statistical Data Analyst Resume Examples & Samples
- 1+ years of experience with statistical analysis of large data sets
- 1+ years of experience in the intelligence community
- Experience in working with or in database applications, including Python and R
- Experience in working with large sets, conducting analysis, and preparing associated reports documentation required
- Experience with research or professional writing
- Experience with writing intelligence reports and assessments
- Experience with counterintelligence and regional expertise
- Experience with data analysis, including Microsoft Excel, R, Python, or related tools
- Knowledge of big data analysis and database software
- Possession of excellent research and analytic skills
4
Statistical Data Analyst Resume Examples & Samples
- Build strategic scorecards for AG across operating companies
- Examine strategic initiatives and mine data to support decision-making
- Translate business goals into data and technology infrastructure requirements necessary to deliver results
- Identify data needs and map data to necessary system sources
- Drive alignment of internal data with external benchmarks
- Work with IS to configure and deploy appropriate analytics technologies to system sources, and to build mechanisms for user-friendly reporting/analysis
- Work with enterprise and system architect teams to ensure capabilities/technology roadmap continuously drives improvement in data integrity, structure, and business insights
- Conduct analysis/provide insights and recommendations
- Work with IS to build necessary data infrastructure across enterprise
- Identify reporting needs and design reports to fulfill business inquiries
- Analyze data, identifying trends, insights, and improvement recommendations including but not limited to
- Starts and spread: What are the top 5 candidates I should call right now to fill this req?
- Targets for sourcing optimization: Which sourcing channels are producing the most ROI by skill, location, industry, etc.?
- Targets for growth and proactive recruiting: What skill areas are growing fast / in high demand? And what is our supply by location and industry?
- Helps us fill reqs with the right people: What is a competitive bill and pay rate for various skill sets by and location and industry?
- Targets for sales: Which companies have posted/hired the most in each skill set by location and industry?
- Regularly monitor systems to detect and fix errors
- Transform and analyze large amounts of data to develop candidate and customer strategic insights
- Work closely with the CIO, VPs of Marketing and other cross functional teams
- Participate in the planning and design of new reporting and analysis products for internal and external use
- Present research findings to technical and non¬technical audiences, internally and externally
- Additional responsibilities may include offer forecasting and assisting marketing, sales and recruiting program managers in developing and maintaining operational dashboards
- Support the development of new analytical tools and enhance existing ones where needed
- Partner with cross functional teams across various operating companies to understand enterprise trends, competitive environment and their impacts on candidate behavior and provide conclusions and recommendations to business owners
- Design a next-generation measurement approach consistent with stakeholder objectives that takes advantage of best of breed analytics capabilities
- Enhance and deliver on the current production and distribution of dashboards, reports, and insights
- Analyze social data in the department's effort to fine tune social listening capabilities and provide actionable insight
- Support the firm-wide marketing team in their efforts to determine the success of external job boards and job sites including Career Builder and LinkedIn and display with Candidate behaviors
- Assist in the strategic effort to influence internal stakeholders at all levels of the organization to take action based on insights generated
- Update and deliver bi-weekly and monthly reports, scorecards/dashboards and key performance reports (using Tableau, Excel, click-stream analytics)
- Manage the reporting and analysis of A/B and multivariate tests
- Work with the application teams to source data, transform the data for analysis and compute usable insights from data
- Understand partner business objectives and provide actionable analytic insights on topics like
- Have developed executive level presentations that identify business trends, operational successes and opportunities based on transactional data
- Experience in summarizing data and building presentations using PowerPoint Data scientist / statistician skill set + knowledge of SQL
- Advanced Microsoft Excel; Familiarity with SQL or similar querying languages
- 2-3 years analyzing large amounts of data
- Proven experience with statistical analysis and experiment design
- Experience running statistical tests including but not limited to: Chi-square D, t-test, p-test, sample size calculators and logistic regression modeling
- Ability to process large quantity of web traffic data and extract relevant, actionable insights
- Expert Level in BI tools, including Excel, Tableau, R
- Highly analytical and creative thinker
- Superb communication skills are a must - written, verbal, PPT and presentation
- Ability to communicate and work effectively with business managers and diverse cross-functional groups
- Ability to accommodate change and adapt accordingly
- Bachelor's Degree in a related field: statistics, decision sciences, economics, predictive analytics, engineering or other quantitative fields or five (5) years of experience in a related data analytics discipline
5
Engineering Statistical Data Analyst Resume Examples & Samples
- Support statistical analysis of method performance and manufacturing product data for Biologics
- Monitoring biological data, providing statistical support during investigation
- Report trends observed with data
- Support data compilation and verifications
- Test data software management and analysis programs
- Work with tools such as SampleManager LIMS, and Discoverant
6
Junior Statistical Data Analyst Resume Examples & Samples
- Interface with the relevant Projects globally for collection and analysis of RAM/Failure field data in terms of statistics
- Perform analysis based on the statistical data in order to narrow down potential causes of failures before technical analysis
- Perform RAM calculations for the assigned projects based on the approved formulas or criteria which are provided by RAM Engineer
- Interface/support the 'RCS Global RAM Team' and, if/when necessary, the other members of the 'RCS RAM Network' (located in the various Regions) for analysis of field data
- Interface with RAM Engineers to supply all RAM inputs related to both Solutions and Products of particular projects
7
Statistical Data Analyst Resume Examples & Samples
- 1-3 years of experience and Master's degree required
- MPH, MS, PhD, ScD or similar degree in statistics or biostatistics preferred
- Background in computer science and/or genetic epidemiology is preferred
- Proficiency in SAS, Microsoft Word, Excel, and PowerPoint is required, experience in R is preferred
- Experience with large longitudinal cohort data is preferred
8
Statistical Data Analyst Resume Examples & Samples
- Masters Degree
- Familiarity with health care
- Ability to do predictive analytics
- Bachelor’s Degree in Statistics, Mathematics, Economics, Public Health, Operations Research, Computer/Systems Engineering, or related field
- 1-3 years experience in business intelligence reporting, data mining, data analysis, or statistical analysis
- Experience working with data mining, data discovery, and/or modeling tools
- Experience analyzing and interpreting data; maintaining and managing large datasets, including ability to ensure the integrity of data
- Strong analytical skills and ability to use a variety software such as SAS, Python, R, SQL, data visualization software, other related statistical programs, MS Excel, and MS Access
- Proficiency in Microsoft Word and PowerPoint presentation development
9
TSA Statistical Data Analyst Resume Examples & Samples
- How a new technology impacts the probability of detecting explosives or other banned items
- How a new type of pat down procedures impacts passenger wait times
- How a new user interface impacts screening efficiency
- 5 years of experience in statistical data analyses
- Bachelor’s degree in operations research, statistics, math, engineering or a related discipline (or 3 years with a master’s degree)
- Experience with tools like Minitab or similar, SQL, Excel and/or data visualization like Tableau
- Must be able to obtain a DHS suitability clearance
- TSA Experience is highly desired
- Master’s Degree preferred
- Current and active Secret Security Clearance
10
Statistical Data Analyst Resume Examples & Samples
- Lead the statistical analysis and design for complex problem formulation, taking input from others and mentoring junior analysts as needed
- Design and develop solution features, proof-of-concept models and assess new and existing data assets in support of Equifax Insights and Innovation
- Be the resident expert of process and data flows across all data assets and how it ties to Analytics, Product and Technology
- Support Data Steward with analysis on Keying and Linkage, Data QA, Stability measures, Volume & Trend Analysis etc., by developing dashboards and providing insights on quality and performance
- Perform data analysis using one or many of the tools for data mining, profiling, segmentation, visualization and predictive modeling
- Co-ordinate and Influence Technology, Product and other business partners on the data and analytical strategy and execution plans
- Review end-to-end deliverables of analytical solutions to ensure proper use and quality results
- Create detailed documentation outlining design and technical specifications
- Present reports to all levels of management to summarize analytic projects, data quality and usage metrics, and data integration intelligence
- 5+ years of experience in data analysis
- Experience with Credit Bureau data and processes preferred
- Experience with Identity & Fraud data and processes a plus
- Master’s degree or higher in computer science, statistics, operations research, or related field
- Predictive Analytics Experience a plus
- Good understanding of high-level data architecture, data models and flow patterns
- Ability to understand, manage and navigate large data sets and experience with big data architectures such as Hadoop, MapReduce, In-memory database systems etc
- Proficient in SAS, R and other similar tools
- Experience with SQL, Hive, Hue, Impala, PIG, Spark, Flume a plus
- Experience with Perl, Python and other scripting languages a plus
- Experience with visualization tools such as Spotfire, Tableau etc. preferred
- Project oversight and client facing experience
- Exposure to data stewardship, privacy and security
- Ability to collaborate with peers and cross functional teams
- Ability to interpret and present complex analytical results
- Flexible and responsive with ability to adapt to rapid change in direction or business priority
- Team player with a can-do attitude
