Analyst, Data Science Resume Samples

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S Nicolas

Simeon

Nicolas

278 Zulauf Views

Los Angeles

+1 (555) 684 1144

278 Zulauf Views

Los Angeles

Phone

p +1 (555) 684 1144

Experience Experience

Phoenix, AZ

Analyst, Data Science

Phoenix, AZ

Beahan, Turcotte and Haag

Phoenix, AZ

Analyst, Data Science

Analyzing data with standard statistical methods, interpreting the results, and providing written summary of data analyses
Participate in national Data Science practice groups to develop and promote analytic expertise
Work with Sr. Analysts or account teams to translate client requests into analytic work plans
Learn and deliver online customer analyses, which may include: Customer Segmentation, Retention Analysis, Lifetime Value Analysis, Advertising Research, Brand Research, Site Utilization
Perform hands-on analysis of large volumes of web analytics, transaction and customer level data. Work with complex data structure, manipulate, cleanse data and perform statistical analysis
Enjoys working with clients and team members to help them understand the implications of customer Insights
Plan, execute, and analyze online surveys using survey technologies such as Qualtrics, Millward Brown, and Lucid

Dallas, TX

Senior Analyst Data Science

Dallas, TX

Monahan, Beier and Corwin

Dallas, TX

Senior Analyst Data Science

Develops and communicates goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals
Creates and manages supporting and related business intelligence processes
Develop material and conduct training for both technical and business colleagues
Regularly engages with the data science community and participates in cross-functional working groups
Build, review, and improve the actual code that solves complex data manipulation problems
Participate in developing overall company strategy
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data

present

San Francisco, CA

Senior Analyst, Data Science

San Francisco, CA

Toy-Lebsack

present

San Francisco, CA

Senior Analyst, Data Science

present

Working with an excellent and exciting data science team
Perform analysis and implement solutions that maximize business impact
Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems
Leads key Canadian Wealth Management (WM) reporting & visualization initiatives within WM Analytics
Develop and maintain consultative relationships with key business stakeholders
Participate in the development and testing process of future products
Partner with key business stakeholders to develop learning objectives that drive business growth

Education Education

Bachelor’s Degree in Quantitative Studies

Johnson & Wales University

Bachelor’s Degree in Quantitative Studies

Skills Skills

Experience with customer data and analytics such as customer profiling and segmentation
Providing appropriate data for a given analysis. Work with data scientists/modelers/analysts to understand the business problems they are trying to solve and create or augment data assets to feed their analysis
Proficient with BI, campaign management tools, and relational databases
Working with an excellent and exciting data science team
Strong Excel and Powerpoint skills
Strong writing and presentation skills
SQL, SAS (or Stata), Microsoft Office products, Tableau
Excellent follow-through, prioritization skills, and attention to detail
Ability to extract, transform and clean data sets from multiple sources
Experience designing and analyzing experiments to measure the impact of marketing campaigns. This includes sampling techniques and testing for statistical significance

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Senior Analyst Data Science Resume Examples & Samples

Frequent meeting/communication with clients to interpret their needs, plan/organize, and discuss progress and results
Assist in making sophisticated modeling approachable to non-modelers
Develop next-generation analytic approaches where current generation approaches are not adequate
Determines when and how to use quantitative research tools and models and assists in interpretation and development of implications to address client business problems
Creates and manages supporting and related business intelligence processes
Defines the information, reporting, and analytical needs of the company. Develops goals, strategies, and plans needed to achieve the vision
Passionate about the future of data analytics and a desire to help shape it
Keen ability to visualize data through graphing/ charting/ information display skills (strong Power Point skills are essential)
Excellent written, verbal and presentation skills are needed along with top-tier communication and listening skills
Large scale data aggregation and processing
Translating analytic insights into sharp, actionable business and marketing implications

Intermediate Analyst Data Science Resume Examples & Samples

Drive the development of qualitative and quantitative data layers to be leveraged in strategic analytics with the goal of driving increased operational efficiency and business process improvement opportunities
Identify opportunities to drive analytics solutions to optimize business processes
Manage data sourcing, data quality, and data reconciliations
BA/BS degree (Masters preferred) in a qualitative discipline plus 2-6 years in relevant analytics and data mining experience
Demonstrates high level of initiative, takes ownership, has a flexible, positive mindset, can deal with ambiguous, complex data sets and/or processes
Knowledge of Data Warehousing preferred

Senior Analyst, Data Science Resume Examples & Samples

Leads key Canadian Wealth Management (WM) reporting & visualization initiatives within WM Analytics
Provides focus and clarity in establishing initiative goals and objectives; identifies required source data and supplementary processing; implements data loads, processing, and logical transformations; develops supporting applications and processes; develops and implements user interfaces, reports, visualizations, and interactive functionality
Conducts ad-hoc analytics projects, as required
Develops and maintains technical expertise around all core elements of WM Analytics infrastructure and tools supporting advanced data analysis and visualization
Provides thought leadership on how analytics initiatives and technology can help achieve business goals and provides advice and guidance on how to take action based on analytical findings
Based on a clear understanding of WM strategy and an expertise in analytics, proactively develops and leads analytics initiatives that convert raw data into actionable intelligence and insight
Integrates learnings and insights into future initiatives and proactively identify and prioritize new ideas and questions
Engage with leaders across WM by providing timely analyses & tools aligned with WM strategic priorities and business needs

Senior Analyst, Data Science Resume Examples & Samples

Transforming large, complex data into business assets that serve both the Enterprise Business Intelligence team and analysts throughout the organization
Providing appropriate data for a given analysis. Work with data scientists/modelers/analysts to understand the business problems they are trying to solve and create or augment data assets to feed their analysis
Explore and recommend innovative solutions to complex problems
Working with an excellent and exciting data science team
Work on challenging Big Data projects
Strong knowledge of Hadoop, Hive, Pig and SQL
Strong programming experience in Java and/or Python with the desire to excel in the big data space
Good generalist experience, ideally working with all layers in the tech stack
Experience transforming large datasets into consumable assets for self-service analytics and reporting
Experience designing, implementing and supporting Data Marts
Familiarity with Linux systems, including basic shell scripting
Design, develop, and maintain data aggregation, summarization jobs (i.e. automation)
Be flexible to changing priorities and comfortable in a fast passed dynamic environment
Develops business requirements, assesses current reporting capabilities, and makes recommendations for improvement
Creates actionable insight and understanding, through the analysis of both quantitative and qualitative data, building recommendations that directly address business objectives
Identifies possible conflicts with the strategy and recommends cost-effective alternatives
Conducts full analyses of changes impacting customers and operations and ensures impacts are accurately integrated into forecasts
Carries out post-event analyses to validate forecast assumptions and identifies all additional factors associated with changes

Senior Analyst, Data Science Resume Examples & Samples

JavaScript, jQuery, CSS and HTML skills
Understanding of web analytics tool basics: tags, cookies, variables
Understanding of tag management systems: tags, rules, variables, and jQuery
A solid understanding of advertising, marketing and strategic brand management and how to best leverage these in a digital environment
Experience presenting in front of groups, to clients, and via web conference
Strong attention to detail and QA abilities
Strong interpersonal skills, a positive attitude and the ability to thrive in a collaborative agency environment with multi-disciplinary teams required
The ability to successfully manage multiple internal and external initiatives/projects in a deadline-driven environment
Master’s degree or foreign equivalent degree in Marketing, Communications, Business Analysis, quantitative studies or a related field
2 years of experience in job offered, digital analytics or related field
Education or experience must include: SQL; SAS; Tableau; Adobe Analytics (SiteCatalyst), Adobe Discover; Adobe Report Builder; Google Analytics; and IBM Analytics

Associate Analyst, Data Science Resume Examples & Samples

4-6 years of experience in analytics and digital marketing
Expertise in advanced analytics tools, including R, SAS, SQL or Tableau
Strong experience in customer analytics, including behavioural analytics and customer journey analysis
Working knowledge of Adobe Analytics and Google Analytics. Familiarity with Adobe Target and Campaign is preferred
Familiarity of machine learning techniques and tools, including; Spark, TensorFlow and Azure
Passion for data exploration, problem solving and digital marketing
Demonstrated a history of independent learning and adaptability
The ability to relay complex analytical data to internal and external audiences, with various levels of analytics
Strong collaboration skills and appreciation for diverse points of view to tackle a common goal

Freelance Analyst, Data Science Resume Examples & Samples

2-4 years of experience in data modeling, data analysis, ETL, SQL querying, and relevant analytics tools (e.g. Tableau, Cognos, R, SAS)
Solid understanding of statistical techniques, and their marketing applications. Including; clustering, regression and uplift modeling
Strong attention to detail, with a logical approach to solving problems
Degree OR Minor in a Science, Technology, Engineering, or Mathematics (STEM) discipline

Senior Analyst, Data Science Resume Examples & Samples

Clearly communicate and summarize findings for the team to help develop better products
2-5 years working in a data analysis environment, market research, promotion/advertising. Experience in syndicated research &/or consumer packaged goods preferred
Experience building machine learning models in h2o, R, Python or SAS, including linear / logistic regression, tree-based models and SVMs
Experience designing and analyzing experiments to measure the impact of marketing campaigns. This includes sampling techniques and testing for statistical significance

Senior Analyst, Data Science Resume Examples & Samples

Participate in the design of an advanced analytics roadmap, informed by larger CIEM team and key business stakeholders
Build statistical models, segmentations and cluster analyses
Partner with key business stakeholders to develop learning objectives that drive business growth
Design measurement and statistical methodologies that align with strategic learning objectives
Provide comprehensive analysis and actionable business applications
Partner with data platform team to help optimize data capture, validation, and models
Collaborate with business stakeholders as an analytics leader to help inform key business decisions
Complete ad-hoc analytics projects (i.e. customer profiling, cross-shop analyses, program measurement) leveraging our Global Customer Database through SAS
Passionate about the transformative power of data; continues to learn best in class data analytics
Strong SAS skills
1-2 years experience designing measurement and analytic plans
Knowledge of statistical methodologies and segmentation models
Ability to gather, manipulate, and analyze large sets of data
Experience leveraging and analyzing unstructured data, i.e., social media data
Ability to transform data to create a story with actionable insights
Web analytics experience preferred
Team player; ability to work with a diverse set of professionals
Ability to manage multiple projects and deliverables in a fast-paced environment
Excellent follow-through, prioritization skills, and attention to detail
Strong Excel and Powerpoint skills
Bachelor’s degree in quantitative field, Master’s degree a plus
3+ years hands-on experience analyzing large databases
2+ years using SAS; SQL a plus; R a plus
2+ years using web analytics preferred
Proficient with BI, campaign management tools, and relational databases
Experience with customer data and analytics such as customer profiling and segmentation

Lead Analyst, Data Science Resume Examples & Samples

Build advanced analytical models and conduct analytical research to drive insights out of Advanced Analytics & Business Insights (AA&BI)
Support and develop initiatives in the Advanced Analytics & Business Insights team related to machine learning, artificial intelligence, data science and advanced analytical research, as well as, additional needs in the Corporate Strategy Office and Enterprise Data & Strategic groups
Lead development in machine learning and/or statistics models to determine patterns, trends, and insights
Partner with cross functional business teams to understand the business challenge and to identify advanced analytical needs / requirements that ultimately leads to the creation of valuable actionable insights to the data
Partners with the Data Solutions & Informatics team in data hoarding and data lakes management / execution
Partners with the Visualization & Self Service Hub team to apply visualization techniques to create advanced visualization from complex data
Minimum of a Master's degree (or equivalent) and minimum of 7 years of experience. An advanced degree in quantitative field such as Computer Science, Mathematics, Bioinformatics, Engineering or equivalent is preferred. However, a combination of experience and/or education will be taken into consideration
Must have a strong foundation in areas of statistics, computer science, data mining and machine learning
Must possess requirement gathering, project management, functional documentation and collaborative team skills. Must be passionate about data, advanced analytics and understanding the business
Thought process should be strategic, proactive, creative, innovative and collaborative. Is able to see the larger picture, able to identify patterns or connections between situations not obviously connected; able to identify key issues in complex situations
Hands on experience with programing language such as R, Python, Scala, Java etc. Knowledge and some experience of Hadoop, Hive, PIG, MapReduce, Spark, SQL, NoSQL, etc
Knowledge of Azure PaaS (Azure MLStudio, Azure HDInsights, etc)
Experience with data visualization of complex data sets with tools like d3.js and Tableau

Data Analyst, Data Science & Analytics Resume Examples & Samples

Create, maintain and own regular reports in support of Account Management, Sales, and Business Development teams for US, Canada, and LATAM (Americas)
Conduct ad-hoc analyses as appropriate, including in-depth data-driven reviews of Criteo’s performance for specific clients in the Americas
Determine opportunities for automation using SSRS and other technologies
Maintain deep knowledge of Criteo products, technologies, and position in the marketplace
Develop understanding of Criteo buying methods, including direct and programmatic (real-time bidding) relationships
Analyze revenue, margin, CTR, conversion rates and other financial metrics related to Criteo clients and publishers
Traffic, test, and analyze new Criteo products and improvements to core Criteo technology
Present results as appropriate throughout the organization and to Criteo clients
Diagnose technical problems related to technical integrations
Manage controlled AB tests from design, to execution, to analysis and presentation of results

Global Insights Data Analyst Data Science Internship Resume Examples & Samples

Build/Code/Analyze Appropriate Data in order to Drive to Actionable and Clear Business Recommendations
Bachelor's Degree in Computer Science, Statistics or the equivalent, Master's Degree preferred
Experience working on data analysis, data stewardship, data modeling in academic and corporate setting
Natural Language Processing: the interactions between computers and humans
Predictive modeling: most of the big data problems are towards being able to predict future outcomes
Data Visualization : creative in displaying information visually and making the patterns they find clear and compelling to business partners
Having the ability to query databases and perform statistical analysis
Being able to develop or program databases
Being able to create examples, prototypes, demonstrations to help management better understand the work
Having a good understanding of design and architecture principles
Experience with multiple RDBMS and physical database schema design
Experience in relational and dimensional modeling
Very data driven and ability to slice and dice large volumes of data
Self-starter who can think creatively and look for/develop elegant & viable solves for real world problems
Skilled at producing actionable and compelling recommendations driven by complex data
Strong leadership and communication skills
Excellent time and project management skills with the ability to work efficiently under tight deadlines
Strong interpersonal & relationship building skills
Strong business acumen, CPG experience preferred
Comfortable in a dynamic environment. Able to identify needs, develop a plan of action and implement

Analyst, Data Science Resume Examples & Samples

Analyzing data with standard statistical methods, interpreting the results, and providing written summary of data analyses
Assuring the integrity of project data, including data extraction, storage, manipulation, processing and analysis
Bachelor degree in Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.)
Advanced proficiency in SQL, Excel, PowerPoint and Word
Proficient with Statistical Software (Python and/or R)
Microsoft Access database knowledge
Intellectual curiosity and persistence to find answers to question

Data Analyst / Data Science Resume Examples & Samples

Graduate/ Post Graduate degrees with Econometrics/ Statistics background (BS/Masters in Math, Physics, CS, Statistics, Economics or other quantitative field)
Extensive experience with common analysis tools - SQL, R, Python, Julia or similar. Demonstrable familiarity with programming concepts
2+ years experience in quantitative analytical roles
Ability to work in high growth, ambiguous environment
Advanced knowledge of experimentation and statistical methods

Analyst Data Science & Analytics Intern Resume Examples & Samples

You are currently doing/finishing a degree in Computer Science or technology related degree
You have a native level of French
You are fluent in English
You have previous experience in problem solving end to end
Ideally, you have good technical skills: SQL, programming languages, .
You have previous international experience
You are interested in analysis and statistics
You are versatile, dynamic
You have a real interest in online Advertising market and the impact of a high-performance technology in this market

Principal Analyst, Data Science Resume Examples & Samples

Manages moderately complex projects, while providing technical and analytical assessments of issues facing the business
Utilizes more advanced predictive modeling and statistical techniques to solve business problems
Conduct independent research in new analytical and modeling methods, providing recommendations, and driving implementation
May develop tools used by others to do their jobs more effectively and guide decision making
Answers complex questions by synthesizing data from diverse sources
Presents findings / recommendations which impact profitability, growth, and/or customer satisfaction
Bachelor's Degree plus a minimum 5 years, typically 7 or more years, of related experience required; Mathematics, Economics, Statistics or other quantitative field are preferred fields of study
Master's Degree preferred; advanced education may be substituted for years of experience (i.e Ph.D. with no professional experience)
Deep knowledge of data science and model applications & limitations
Ability to build models that will be used by business teams to analyze results and improve business outcomes. Working knowledge of predictive modeling and code (e.g. SQL and R) is required
Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (R, SAS, Emblem)
Must have good planning, analytical, decision-making and communication skills. Ability to present data, visually and verbally, to guide conversations with business managers
Strong independent and self-motivated research skills with an entrepreneurial attitude to move projects to completion

Senior Analyst, Data Science & Analytics Resume Examples & Samples

Ensure proper data collection is in place across all platforms (site, social, apps, distributed content) from technical, strategic, and business perspectives
Leverage the data gathered to better understand how individuals find New York Post content, where they consume it, how to further optimize that experience, and drive them down the marketing funnel
Aggregate, analyze, and present analyses for a variety of users from the editorial, product, audience development, sales, and executive teams
Maintain relationships with relevant vendors and explore new relationships as necessary
Collaborate with internal users on new data products, analyses, and engagements
Become a data expert on New York Post properties, distribution tactics, and how to interpret the outputs collected from them
Develop a playbook of best practices around article production, promotion, and monetization
Experience in gathering, synthesizing, and analyzing large data sets, particularly social network data, web analytics tools, and distributed content tracking
Expert-level Excel skills
Working knowledge of Google Analytics is important
SQL proficiency
Knowledge of R for statistical analyses and Tableau for data visualization is a plus
Experience with Optimizely for A/B tests on the web and in apps is a plus
Experience in presenting for varied groups of individuals
A detail-oriented work ethic
A sense of curiosity about what makes the web tick, a desire to experiment and innovate with existing tools, and a need to figure out what’s next and plan for the future

Analyst, Data Science Resume Examples & Samples

Develops a strong understanding of the clients' business, current digital marketing initiatives, and customer experience goals. Actively works towards insights and recommendations that will help Razorfish deliver solutions to meet these goals
Perform hands-on analysis of large volumes of web analytics, transaction and customer level data. Work with complex data structure, manipulate, cleanse data and perform statistical analysis
Learn and deliver online customer analyses, which may include: Customer Segmentation, Retention Analysis, Lifetime Value Analysis, Advertising Research, Brand Research, Site Utilization
Plan, execute, and analyze online surveys using survey technologies such as Qualtrics, Millward Brown, and Lucid
Enjoys working with clients and team members to help them understand the implications of customer Insights
Serves as an evangelist for data-driven decision making, accountability, and a commitment to continuous optimization
Work with Sr. Analysts or account teams to translate client requests into analytic work plans
Participate and support in delivering results and presentations to clients
Participate in national Data Science practice groups to develop and promote analytic expertise
Identify new ideas and opportunities for analytic projects
Has or is interested in developing skills to be a hands-on practitioner of multivariate statistical analysis (regression and simple segmentation)
Effectively communicate complex ideas to primary client contacts, both verbally and in writing
The applicant should have at least 1-2 years of work experience in a business environment, with a minimum of 12 months successfully working within an intensively client-focused model such as an external consulting or marketing services firm

Senior Analyst Data Science Resume Examples & Samples

Researches and develops predictive analytic solutions. Leverages knowledge to create/design solutions for business needs
Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions
Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data
Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes
Customizes analytic solutions to specific client needs
Mentor, motivate and train less experienced staff and peers; may manage interns
Collaborate with analytical peers and counterparts across US Consumer Markets Insurance to stay on top of overarching personal lines trends and Analytics best practices
Solid to broad knowledge of predictive analytic techniques and statistical diagnostics of models
Advanced knowledge of predictive toolset; reflects as expert resource for tool development
Ability to give effective training and presentations to peers and less senior team members
Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 0-2 years of relevant experience, a Master’s degree (scientific field of study) and 1-4 years of relevant experience or may be acquired through a Bachelor’s degree(scientific field of study) and 3+ years of relevant experience

Senior Data Analyst Data Science Resume Examples & Samples

Perform large-scale data analysis and develop effective statistical models for segmentation, classification, regressions, optimization, forecasts, validation & testing, etc
Identify key business problems & develop viable, data-supported hypotheses in collaboration with stakeholders
Provide high-quality, unbiased data analysis and analytical solutions that support business objectives
Determine relevant metrics for predictive analytics, leading/lagging indicators to determine risks and opportunities from a human capital perspective
Effectively communicate results to cross functional teams and all stakeholders at various levels throughout the organization
Take accountability of data analysis, and present a clear and accurate interpretation of results
Establish scalable, efficient, automated processes by leveraging a wide range of environments and technologies
Work closely within a team structure and demonstrate successful collaboration with other team members
B.S. (M.S. preferred) in a relevant field such as Applied Math, Statistics, Computer Science, Economics, etc
2+ years of experience and advanced education in statistics, parametric/non-parametric statistical testing, and distributions
Experience in statistical packages such as SAS, R, Python, etc
Skilled at data visualization and presentation
Demonstrate relational databases and experience and understanding ( Oracle, Teradata, SQL Server, etc.)
Applies scientific techniques to validating outcomes, following DM-CRISP and SEMMA methodology
Experience with Hadoop, Cloudera/Navigator, or any Big Data technologies
Working knowledge of newer data technologies such as Hadoop, MapReduce, MogoDB
Experience Artificial Intelligence with products such as TensorFlow, Google AI, or Amazon AI Services
Knowledgeable on supervised and unsupervised techniques for predictive modeling
Passionate for all things data, and ready to collaborate in a diverse and inclusive team environment

Senior Analyst, Data Science Resume Examples & Samples

Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems
Perform analysis and implement solutions that maximize business impact
Prepare and present written and verbal reports to key stakeholders
Execute all aspects of an advanced analytical project under guidance
A minimum of two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions
Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)
M.B.A. when combined with advanced quantitative degree is highly regarded but not a prerequisite
Prior academic or industry research experience is highly regarded but not a prerequisite
Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite

Analyst, Data Science & Analytic Resume Examples & Samples

You hold a Msc degree in engineering, mathematics, statistics, or computer science
You have experience in an analytical role in Technology, Consulting or Finance
You have strong analytical skills
You are outgoing with good communication skills
You are Fluent in English
You have a demonstrated interest in internet and technology. Previous experience in SQL or programming languages is a plus
You are versatile, self-driven, and results oriented

Senior Analyst, Data Science Integration Resume Examples & Samples

Participates in the development of data science products, projects, or initiatives directly in support of business operations and the integration of the Data Science Team through leveraging data mining, predictive analytics, and statistical analysis
Participate in team to drive impactful change through the participation in work-streams of teams, both internal and external to the department
Travel up to 25%
Excellent presentation skills; ability to distill and present actionable information from complex research or analysis
Persuasive with excellent verbal and writing skills. Relentlessly motivated when working with large and complex datasets. Naturally receptive to direct feedback and constructive criticism. Thrives in a collaborative team-oriented environment that is highly matrixed
Knowledge of at least one analytics tool such as SAS, Python, or R
Knowledge of big data concepts, including Hadoop (hiveQL)
Possesses a balance of general business knowledge, ability to work with multi-million record relational databases, analytical acumen, and presentation skills
Effective communication skills at multiple levels of the organization, including management and cross-functional groups
Strong skills in MS PowerPoint and Excel