Analyst, Data Analytics Resume Sample

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Lenora Torphy
9427 Crist Rapids,  Los Angeles,  CA
+1 (555) 959 0466

Work Experience


Senior CI Analyst Data Analytics & Simulation
11/2017 - PRESENT
Chicago, IL
  • Support new products and technology initiatives based on in-depth understanding of system complexity
  • Evaluate data feeds into AML and GES related systems, including mapping and exception handling
  • Analyze and profile data from source system(s). Identify data anomalies and perform root cause analysis; Develop plans to correct data discrepancies
  • Gather requirements, create data/process flows, and develop solutions to meet business needs. Assist internal customers with acceptance testing and adoption of implemented solutions
  • Assist in drafting any data policies or frameworks required in Compliance and/or augmentation of existing documentation
  • Enhance the department’s data analytics capabilities
  • Analyze data for Business Intelligence projects, change requests or requests for ad hoc reports and make recommendations in line with business needs
Analyst, Data Analytics
07/2015 - 10/2017
Philadelphia, PA
  • Participate in allproject phases from the initial analysisto implementation, including acceptance tests
  • Meet several business leaders within the organization in order to identify and document their business needs in terms of reports and data and translate themintoIT needs
  • Communicate with internal clients from Marketing, Finance, Workforce Management, etc. in order toanswer a variety ofquestions
  • Extract, validate and transform data using Oracle SQL and SAS
  • Leverage Cognos solution to build ad hoc reports
  • Develop a knowledge and understanding of tables and their relationships within the data warehouse
  • Explain complex analysis in layman’s terms to a non-technical audience
  • Create forecasting models using industry recognised statistical methods
Analyst, Data Analytics & Insights
04/2008 - 01/2015
Phoenix, AZ
  • Apply, revise and improve revenue forecasting process
  • Put in place a follow-up mechanism of forecasting models and represent the team during audits and in front of validation departments
  • Be the main contact for interactions with Rating & Classification (Actuary), Marketing and Finance teams
  • Maintain and develop current and future databases used for revenue forecasting. Extract and process data using SAS and SQL queries
  • Explain fluctuations with relevant analysis, provide recommendations to senior leadership
  • Meet with various stakeholders to gather their feedback on projects, both past and future, and how they affect revenue trends and forecasts
  • Participate in team management, prioritization of analysis and evolution
  • Meet several business leaders within the organization in order to identify and document their business needs in terms of reports and data and translate them into IT needs
  • Analyze data for Risk Events project or requests for ad hoc reports and make recommendations in line with business needs

Education


Siena Heights University
2003 - 2008
Bachelor's Degree in Mathematics

Professional Skills


  • Experience with project management and demonstrate proven project management skills
  • Excellent project management skills including planning, tracking, reporting and governance and experience of delivering change
  • Strong organizational and consensus building skills
  • Strong interpersonal, leadership, communication, and collaboration skills
  • Strong quantitative analysis skills, ability to manage and interpret large quantities of data
  • Excellent verbal, written and customer service communication skills
  • Demonstrated skills in conflict resolution

How to write Analyst, Data Analytics Resume

Analyst, Data Analytics role is responsible for reporting, languages, advanced, design, retail, finance, training, integration, gis, analysis.
To write great resume for analyst, data analytics job, your resume must include:

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

Contact Information For Analyst, Data Analytics Resume

The section contact information is important in your analyst, data analytics 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 Analyst, Data Analytics Resume

The section work experience is an essential part of your analyst, data analytics 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 analyst, data analytics responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular analyst, data analytics position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Analyst, Data Analytics resume experience can include:

  • Problem solving and deductive reasoning skills
  • Working knowledge of basic analytic tools, with intermediate/advanced experience in Excel
  • Experience with learn coaching, mentoring, and training staff
  • A working knowledge and experience of using Teradata / SAS or SQL coding ideally and a commitment to develop these analytical tools
  • Analytical experience creating and implementing statistical models
  • Demonstrated ability to identify areas for improvement, capable of making recommendations and implementing solution

Education on an Analyst, Data Analytics Resume

Make sure to make education a priority on your analyst, data analytics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your analyst, data analytics 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 Analyst, Data Analytics Resume

When listing skills on your analyst, data analytics 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 analyst, data analytics skills:

  • Relevant experience with experience in Web Analytics, Social Insights, Business Intelligence, Marketing analytics or other highly-quantitative field
  • Moderate to advance skills in SQL
  • Demonstrated advanced technical skill and knowledge of data systems and query languages
  • Experience in a data warehouse/business intelligence/decision support systems environment or IT experience
  • Experience with all aspects of a modeling project including data prep, analysis of related variables, testing, deploying, and presenting findings
  • Demonstrable experience of data cleansing, manipulation, clustering and text mining techniques

List of Typical Experience For an Analyst, Data Analytics Resume

1

Experience For Analyst, Data & Analytics Resume

  • Demonstrate problem-solving ability with emphasis on drawing insights from data
  • Develop and present on-going analytics deliverables to day to day clients coordinating with more senior analytics team members and account management
  • Responsible for day to day analytics for assigned clients, including QA of data and reporting templates
  • Use data insights to drive strategic business and marketing recommendations with clients
  • Builds complex models (including CBA) and delivers results to business area management; addresses any questions and/or requests for refinement of models
  • Analyze data for Risk Events project, or requests for ad hoc reports and make recommendations in line with business needs
  • Communicate with internal clients from Actuarial, Finance, Product, etc. in order to answer a variety of questions
  • Analyze data for projects or requests for ad hoc reports and make recommendations in line with business needs
2

Experience For Analyst, Data Analytics & Insights Resume

  • Participate in all Business Intelligence project phases (Documentation of the BI requirements, Support of our Technology Partners during the development phase, Execution of BAT testing, etc.)
  • Communicate with internal clients from Actuarial, Finance, Product, etc. in order to answer a variety of ad-hoc questions
  • Focus on media, brand, customer, and market research that produce unique insights and opportunities
  • Collects, interprets, and analyzes more complex data across his/her area of responsibility to support management decisions and improve inefficiencies
  • Generates reports, and aids in transforming base transactional data into meaningful information to drive informed dialog and strategy development with internal and external stakeholders
  • Identifies and interprets more complex developments, variances, and trends; researches inconsistencies/anomalies in the data and presents findings to management
  • Maintains an understanding of how the data contained in the various systems are utilized, and is able to triangulate various aspects of the data into a usable format to support decision making
  • Serves as a resource to advise management & business stakeholders on use of quality business analytics, tools, and methods to improve efficiency, accuracy, and interpretation of various business metrics
3

Experience For Senior CI Analyst Data Analytics & Simulation Resume

  • Provide thought leadership around data, analytics, and digital strategy
  • Leverages metrics and insights to support growth and profitability of Group Protection Business (P&L Leadership)
  • Collaborates with other functions (e.g., pricing, underwriting and distribution) to understand drivers of results and generate strategies to optimize future results
  • Supports Integration and Product Implementation teams through the use of data query, manipulation and analysis
  • Identifies and recommends process improvements that significantly reduce workloads or improve quality for the Product Performance & Support Team and larger Product Solutions Team
  • Create and maintain risk analytics for a large part of the Mutual Fund and ETF universe across the globe
  • Develop deep expertise of various asset classes, fund strategies and their risk drivers
  • Consult with partners across the organization to understand their business needs, influence decisions with data paired with impactful presentations, and create alignment on strategy
  • Design, build, and deploy statistical models and perform advanced analytics (regression, simulations, text-analytics etc.) to create actionable insights
4

Experience For Analyst, Data, Analytics & Insights Resume

  • Skilled story-teller able to put powerful visualizations to use in PowerPoint and Tableau to audiences of varying levels in an org, from senior management to peers
  • Driven to both learn and train others in new methods for data analysis, visualization, collaboration, and automation
  • Assists in the development and the utilization of innovative data visual presentation strategies to ensure data is conveyed in meaningful and interpretive formats for all audience levels
  • Assists in the development and implementation of innovative analytical and/or statistical methodologies and supporting tools for evaluating Company processes, business problems, and/or ROI of products and services
  • Assists in the development and maintenance of an automated process to identify data and process integrity issues. Provides leadership with detailed recommendation for issue resolution. Identifies both up and down stream impact of identified issues and fully communicates with any impacted parties
  • Performs specific tasks identified in the compliance monitoring program to include evaluation of definitions, price increase maintenance and network identification
5

Experience For Speech Analyst, Data Analytics Resume

  • Provides customer service to internal and external customers, including meeting quality standards for services, and evaluation of customer satisfaction
  • Works cross functionally with peers in Sales, Finance, Law, Contract Development, and Contract Operations
  • Analyze campaign and customer data to provide conclusions, implications, and actionable recommendations designed to improve the quality of future relationship marketing communications
  • Experience in digital analytics
  • Responsible for day to day analytics for assigned cleints, including QA of data and reporting templates
  • Support team leads on any internal projects to further develop the analytics practice including implementation of analytical tools, techniques, processes, and frameworks
6

Experience For AML Risk Analyst, Data Analytics & Technology Resume

  • Basic understanding of concepts in at least one or more of the analytics disciplines
  • Proficiency in at least one or more of the analytics disciplines
  • General Analytics- Visualization (Microstrategy, Tableau, Domo, etc.), Relational Databases (SQL, MS Access, etc.)
  • Media Buying- Ad Servers (DoubleClick, Atlas, MediaMind, etc.), Search Engine Optimizers (Kenshoo, Marin, etc.), Demand Side Platforms (Turn, MediaMath, etc.), Direct platform buying (Adwords, FB Ads Manager, etc.)
  • Adtech- Data Management Platforms (Turn, BlueKai, etc.), Attribution (Visual IQ, Adometry, etc.)
  • Martech- Web Analytics (Omniture, Google Analytics, etc.), CRM databases, eCommerce Platforms (Shopify, etc.), Owned Social Media Analytics (FB Page metrics, Twitter Analytics, etc.)
  • Research-Brand Health Measurement / Brand Trackers - Campaign based measurement (both in platform and vendor direct) ,Familiarity with various research partners and panel vendors
7

Experience For Analyst, Data, Analytics & Insight Resume

  • Statistics/Machine Learning/Programming-Statistics (MMM, forecasting, regression modeling, etc.), Machine learning (scikitlearn, tensorflow, IBM Watson, etc.), General Purpose Programming (Python, Familiarity with AWS, etc.)
  • Perform lineage analysis using Informatica, the banks Metadata Management tool, to prove the traceability of KDEs from reports to data fields held within the bank’s systems
  • Advanced user experience of MS Excel and Access
  • Experience in a project management or change environment
  • Demonstrated ability to work with large data sets to create insights
  • Facilitate User Acceptance Testing (UAT) and support business users in executing the UAT
  • Build, manage and maintain a positive working relationship with stakeholders and 3rd party suppliers across multiple franchises and functions
  • Knowledge of advanced coding languages (e.g. SAS, SQL, C++, etc.)
8

Experience For Analyst Data Analytics Resume

  • Knowledge of pharmaceutical industry pricing
  • Knowledge of statistical concepts and data mining techniques
  • A naturally inquisitive mind, coupled with the lateral thinking abilities required to solve problems through indirect and creative approaches
  • Interrogate, interpret and visualise large volumes of data to identify, support and challenge business opportunities
  • Be accountable for full traceability and linkage of business requirements of analytics outputs
9

Experience For Business Intelligence Analyst Data Analytics Resume

  • Support with the development and delivery of a new data driven survey methodology for the bank
  • Develop a deep understanding of the PPB Services businesses and proactively recommend improvement opportunities to stakeholders through a customer focussed approach to analytics
  • Package and present analytical insight with clarity to convey complex technical information in an appropriate manner aligned to the audience
  • Work with the PPB Services businesses to interpret and influence their business objectives and analysis requirements
  • Interrogate and interpret large volumes of data, and conduct and support feasibility and solution options and impact analysis
  • Identify and support cutover and implementation tasks
  • Be accountable for full traceability and linkage of business requirements to future state design
10

Experience For Data Analyst / Data Analytics Resume

  • Identify and analyse operational risk, issues and dependencies
  • Immediate adoption of policy and/or process changes
  • Communication of issues, risks and concerns to team management with recommendations of improvement
  • Ask probing questions to translate business needs in order to build and design reporting solutions (metric management, dashboards, enterprise performance management)
  • Conceptual thinker with ability to discover patterns

List of Typical Skills For an Analyst, Data Analytics Resume

1

Skills For Analyst, Data & Analytics Resume

  • A working knowledge and experience of using Teradata, SAS or SQL coding (and a commitment to develop these analytical tools)
  • Identify, own, and manage risks, ensuring mechanisms are in place to report, maintaining an effective control environment
  • A good statistics background (modelling and statistics-based ideally)
  • Capture, validate and document business and data requirements ensuring they are in line with key strategic principles
  • Experience in developing services/API’s for mobile applications
  • Demonstrated ability for public speaking
  • Experience and technical proficiency in providing requirements into an Agile development environment
  • Passionate about providing a world-class customer experience
  • Proven application of business analysis tools and techniques (Teradata/Hadoop/Genie)
2

Skills For Analyst, Data Analytics & Insights Resume

  • Demonstrable experience of using a statistical software package, with an understanding of common data quality problems
  • Demonstrable data analysis experience using either SQL or SAS to an advanced level in a work environment
  • Manage and prioritise your own work stack and allocated project elements, to ensure high quality work and on time delivery to meet stakeholder expectations
  • Ensure effective handover and Production deployment of solutions
  • Experience in data query, visualization, dashboard and/or scorecard tools
  • Advanced skill in the most current BI tools
  • Demonstrated ability to lead group discussions
3

Skills For Senior CI Analyst Data Analytics & Simulation Resume

  • Demonstrated ability to self-direct, multi-task and partner with technical staff from different departments
  • Experience with data extraction, data mining, data acquisition, data profiling, and data warehouse management
  • Experience with working with pharmacy data at a retail pharmacy, Pharmaceutical Benefit Manager, benefit consultancy, or managed care company
  • Excellent knowledge of SQL and/or SAS and programming
  • Experience with system administration (e.g. PROS, Vendavo, Vistaar, Salesforce.com, SharePoint, Wikis, etc.)
  • Experience with business intelligence tools in support of data analytics (e.g. Business Objects, Cognos, Tableau, PROS, etc)
  • Experience in business/speech analytics
4

Skills For Analyst, Data, Analytics & Insights Resume

  • Communicate and establish good relations with multi-disciplinary teams
  • A proven track record of senior stakeholder management and engagement
  • Experience with the application of business analysis tools and techniques (Teradata/Hadoop/Genie)
  • Working across the Enterprise Risk Management group to identify opportunities where data analytics can reduce manual testing or processes
  • Understanding of digital marketing concepts and strategies
  • Participating on audits, investigations, or other special projects that benefit from your subject matter expertise
  • Supporting automation of MOS at PEA operations
  • Coordinating with peers and management from other departments to accomplish tasks
  • Working in multiple systems to compare data, make educated business decisions to ensure high quality data
5

Skills For Speech Analyst, Data Analytics Resume

  • Support data governance efforts, by documenting, cleaning and measuring data quality
  • Follow up and educating business associates from across the organization at varying levels
  • Knowledge and application of the principles of continuous improvement including methodologies, data collection and analysis, and reporting
  • Galvanise support across the organisation at a senior level, challenging to make sure data and analytics are embedded in daily decision making
  • Queries and architects data sets to feed reporting/analytics. Creates new metrics to enhance insights/decision making
  • Enhance efficiency and scalability by building repeatable processes and training our partners
  • Conduct and support options analysis identifying the most appropriate solution
6

Skills For AML Risk Analyst, Data Analytics & Technology Resume

  • Highly motivated self-starter, adaptable to new and changing environments
  • Interest in further developing knowledge of financial services industry
  • Customer focus and results oriented, meeting deadlines
  • The ability to communicate with impact, ensuring complex information is articulated in a meaningful way to varied audiences
  • Perform data extraction, storage, manipulation, processing and analysis
  • Conduct and support options analysis, identifying the most appropriate solution
7

Skills For Analyst, Data, Analytics & Insight Resume

  • Create detailed process documentation and associated training material
  • Seek opportunities to challenge and improve current business processes ensuring the best result for the customer
  • Undertake the utilisation of data manipulation and techniques to understand trends and insights through appropriate coding language
  • Lead and deliver data driven solutions that support changing business demands and meet the bank's strategy
  • Participate in all project phases from the initial analysis to implementation, including acceptance tests
  • Establish a detailed understanding of DE’s strategies, vendor requirements, and regulatory concerns as they apply to our business
  • Support broader analytics strategy through execution of custom advanced analytics initiatives to answer client business and marketing questions
  • Ensures data integrity and develops procedures for increasing the quality and accuracy of information from multiple data sources
8

Skills For Analyst Data Analytics Resume

  • Participates in projects for analytics and predictive & other modeling integration and implementation
  • Engage, co-ordinate within a global team on multiple projects in an continuously evolving business environment
  • Bachelors in a quantitative field such as math, statistics, engineering or economics
  • Proficient in SQL, R, SAS, Python or similar tools for analyzing relational databases at scale
  • Curious to identify questions that haven’t been asked and solving problems to drive change
9

Skills For Business Intelligence Analyst Data Analytics Resume

  • Appropriate level of knowledge of data in own area and across wider unit
  • Support and contribute to the delivery of complex solutions through the provision of high quality analytics projects which support the development and implementation of innovative processes and problem resolution
  • Articulate full traceability and linkage of business requirements of analytics outputs
  • Execute quality assurance at various stages of the project in order to validate the analysis and to ensure data quality, identify data inconsistencies, resolving as needed
  • Build, manage and maintain positive working relationships with stakeholders from across Functions & Services Analytics and with peers from across the Data & Analytics community
10

Skills For Data Analyst / Data Analytics Resume

  • Working in collaboration with formal operational improvement teams providing data analytics expertise as required, e.g. CoEs
  • Deliver and work based on operating and communication rhythms with key stakeholders
  • Be adaptive to new technologies and open to trying out new stuff ELIGIBILITY REQUIREMENTS
  • Providing guidance on resource optimisation across the PEA platform through development and utilisation of scenario analysis tools (utilising simulation and LP software)
  • Partner with Data Technology (Dev & QA) on the execution of activity supporting the data analytics projects across Prudential’s environments
  • Capture, validate and document business and system requirements, ensuring they're in line with key strategic principles - and translated from business operations, business objectives, or from external requirements

List of Typical Responsibilities For an Analyst, Data Analytics Resume

1

Responsibilities For Analyst, Data & Analytics Resume

  • An ability to interact successfully across the business with key stakeholders
  • Familiarity with Microsoft applications (Excel and Outlook)
  • Fully Bilingual in Spanish and English verbal and written
  • Experience collaborating with internal and external resources to assist in the development of strategies and project plans that meet department goals within budget and established timelines
  • Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service
  • Experience developing ways of accomplishing goals with little or no supervision, depending upon oneself to resolve issues to ensure completed objectives and determining when escalation of issues is necessary
2

Responsibilities For Analyst, Data Analytics & Insights Resume

  • Knowledge of Pharmacy, Pharmaceutical Benefit Manager, Benefit Consultancy, or Managed Care company
  • Knowledge of systems such as Remedy and GIS
  • Knowledge of insurance processes and operations
  • Knowledge of branch sales for credit protection products
  • Knowledge in the field of property and casualty insurance in Canada
3

Responsibilities For Senior CI Analyst Data Analytics & Simulation Resume

  • A great eye for detail in order to manage and interpret large quantities of data, with insight and precision
  • Experience in analytics within the financial services industry, including design & implementation of forward-looking metrics to support & optimize business objectives (Required)
  • Stakeholder management abilities
  • Travel Amount: up to 15%
  • Good knowledge of statistical techniques (e.g., multiple regression, logistic regression, correspondence analysis, conjoint analysis, cluster analysis, factor analysis, etc.) and experience or course work applying statistics to solving business problems
  • Hadoop and ecosystem

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