Data Analytics Senior Resume Samples

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H Bosco

Haskell

Bosco

369 Durgan Forest

Chicago

+1 (555) 553 5543

369 Durgan Forest

Chicago

Phone

p +1 (555) 553 5543

Experience Experience

New York, NY

Data Analytics Senior

New York, NY

Fahey-Schmitt

New York, NY

Data Analytics Senior

Supports the Customer 360° ‘C360°’ Governance structure (Stakeholder Management, Change Management, Issue Management, Continuous Improvement)
Work closely with technical and business teams to assess impact of issues and provide alternative solutions/recovery plans to ensure goals are achieved
Manage work across concurrent initiatives
Create management reports to quantify Freddie Mac’s condominium exposure
Create Reports in PeopleSoft’s Service Relationship Management (SRM) modules
Develop SharePoint (2013) forms, workflow, administration and reporting
Developing insights, identifying trends, finding opportunities to increase efficiency and effectiveness

San Francisco, CA

Data Analytics Senior Manager

San Francisco, CA

Weimann-Schaden

San Francisco, CA

Data Analytics Senior Manager

Supporting sales through working on bids, proposal responses and developing opportunities
Assessing data governance processes and operations to manage data submitted to regulatory bodies
Developing data analytics routines to identify and scenario test risks
Designing automated and data-driven controls and structures to better manage and protect data assets
Establishing credibility both internally and externally through your knowledge, approach, and professionalism
Managing projects and project workstreams including project delivery, budget and risk
Building and maintaining relationships both internally within the PwC network and externally with clients

present

Los Angeles, CA

Data Analytics Senior Associate

Los Angeles, CA

Durgan-Frami

present

Los Angeles, CA

Data Analytics Senior Associate

present

To create and capture opportunities to advance your career and fulfill your potential. To learn more, visit us at www.pwc.com/careers
Researching new products, tools and techniques to assist with streamlining internal processes and methods of presenting results to clients
Software development lifecycle and methodologies
Concise and clear communication when presenting and explaining results and findings
Drafting reports and presentations to explain our findings
Healthcare, Insurance, Financial Services, Customer an industrial Products and Services, Manufacturing or Telecom Industries
Data analytics programming (e.g. SAS)

Education Education

Bachelor’s Degree in Economics

University of Delaware

Bachelor’s Degree in Economics

Skills Skills

Highly driven, results-oriented, creative and nimble problem solver and a willingness to do “whatever it takes” to deliver business value quickly
Ability to communicate well in difficult situations with strong negotiation skills
A portfolio or ability to demonstrate capabilities
Ability to work in a dynamic, rapidly changing environment
Knowledge/Experience in: SAS, Excel, Visio, SharePoint
Ability to work independently and with business partners at various levels of the organization
Advanced scripting knowledge and experience
Knowledge of fixed income products, especially mortgages
Strong data and financial analytical skills
Excellent interpersonal, team, verbal, written and listening skills

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15 Data Analytics Senior resume templates

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Data & Analytics Senior Manager Resume Examples & Samples

Analysis & Reporting
Perform analyses (using SQL and other analytics tools) that support efficient execution of day-to-day SEM activities and optimization strategies
Serve as a subject matter expert for available data elements and analytics capabilities
Assist in designing methodologies to attribute offline sales to online media
Analyze campaigns and identify key insights such as trends, behaviors and relationships impacting campaign performance
Utilize techniques such as market mix models and data mining in relation to the overall objective of maximizing Marketing ROI
Lead the design of tests (A/B and other types) to measure the effectiveness of search programs
Implementation
Perform data mining investigations to find new insights related to customers and behavior
Maintain dashboards with KPIs specific to paid and natural search efforts
Work with the search marketing team to put analysis into action
Integrate multiple data sources in order to develop marketing performance dashboards and campaign attribution models
Manage and interact with search platform vendor(s) and search management team to ensure system can deliver on proposed and advanced campaign metrics
Bachelors degree in engineering, marketing/advertising, statistics, mathematics, business, management information systems or related field is required, Masters degree is preferred
Extensive reporting and analysis experience is required
5+ years of experience working in web analytics and/or digital media analytics in an e-commerce environment is required
Experience with search management platforms such as Kenshoo, Marin, DART Search, Omniture Search Center or similar tools is required
Experience with media measurement tools including 3rd party ad serving, syndicated research and web analytics, such as Netratings, Comscore, Hitwise, Doubleclick, Atlas, Omniture, Coremetrics, Google Analytics , etc. is required
Knowledge and experience with regard to advanced statistics and modeling is a plus
Strong math and analytical skills
Extensive experience with database and analytics tools such as SAS, SPSS, Clementine, KXEN, Oracle, MS SQL Server, Greenplum, DB2, Teradata, Sybase, MS Access, Excel PivotTables and enterprise business intelligence tools such as Cognos, Business Objects or Tableau
Experience in software code development with programming languages such as Microsoft Visual Studio, VB Script and Java Script

Performance & Data Analytics Senior Analyst Resume Examples & Samples

Bachelor’s Degree in Science, Computer Technology, Mathematics/Statistics, Engineering, Actuarial Sciences or Economics or equivalent experience
5+ years’ of business experience
Data analytical skills
Knowledge of relational databases and proficiency with SQL and other standard database query tools. (Oracle preferred)
Proficiency with statistical/data management tools. (SAS preferred)
Proficiency working with data to identify trends, patterns and anomalies
Working knowledge of the CitiScreening process preferred
Working knowledge of Microsoft Office skills (Excel, Word, Power Point)

Data Analytics, Senior Analyst Resume Examples & Samples

Identify opportunities to improve productivity of AML alerts
Ensure reports are generated and distributed within expected time frames for all business units
Bachelor’s Degree in Science, Computer Technology, Mathematics/Statistics, Engineering, Actuarial Sciences or Economics

Data Analytics Senior Manager Resume Examples & Samples

Data analytics and visualisation products such as Tableau, Spotfire, Qlikview
Advanced data analytics, using platforms such as SAS, SPSS, R/S/S+
Strong SQL and data manipulation skills
Data quality and data cleansing techniques
Understanding of the principles of data governance
Experience of the UK Financial Services industry
Understanding relevant Financial Services regulation (e.g. BCBS, CRD IV, MIFID, EMIR, AML, insider trading, fraud)
Advanced MS Excel
Understanding of statistical analytics methods and the ability to apply these in the correct circumstances
Data modelling and /or data architecture experience
Knowledge of database and ETL technologies
Experience of business analysis tasks and approaches

Data Analytics Senior Manager Resume Examples & Samples

Managing projects and project workstreams including project delivery, budget and risk
Be an active member of the team on client-facing project work, being self-starting and motivated to produce the required high standard of deliverables
Develop and own Data Analytics propositions and delivery methodologies
Building and maintaining relationships both internally within the PwC network and externally with clients
Supporting sales through working on bids, proposal responses and developing opportunities
Establishing credibility both internally and externally through your knowledge, approach, and professionalism
Ability to identify and address client needs, including developing and sustaining meaningful client relationships and understand the client’s business
Strong analytical and problem solving capabilities
Desire to work in an exciting, yet rapidly changing environment
Experience and knowledge of the Insurance and/or Asset Management industries
Ability to grow a business including ability to plan and shape a project including building project plans and defining budgets and resource requirements
Create and build new networks - strong client communication skills and understanding needs
Knowledge and experience with Tableau, Spotfire, Qlikview, SAS, SQL
Strong stakeholder management and interpersonal skills, including working with different competencies to provide a more valuable solution to our clients

Data Analytics Senior Analyst Resume Examples & Samples

Incumbent will be a member of a team of analysts and responsibilities will include
Address analytical inquiries related to variations in risk drivers and risk parameter estimates of a diverse range of underlying consumer products such as Mortgages, Credit Cards, Personal Installment Loans, Student Loans etc
Perform critical User Acceptance Testing (UAT) functions including meticulous analysis of risk parameter results to conclusively ascertain approval/ denial of historical restatement requests into production environment
Perform Portfolio Parameter Estimation Analysis, variance analysis and root cause analysis on variances and socialize the results with risk partners
Review Cluster Validation reports and analyze Delinquency Band Time series of Probability of Default. Review the analytical results with the Risk Coordinators
Drive data quality analysis / data mining / Data Input Prescreening analysis
Bachelor's degree in quantitative field such as Mathematics, Statistics, Econometrics, Applied Economics or Finance required. Masters or MBA degree preferred
5+ years Finance or Credit Risk experience
Oracle SQL skills required
SAS programming skills required
Must be able to work with large volumes of data from disparate sources
Proficiency in Credit Risk concepts preferred
Previous exposure to Basel II or Basel III preferred
Consumer banking products experience or exposure is preferred
Experience working with a variety of financial or risk platforms
Exposure to global processes and teamwork across various locations and cultures desirable
Strong interpersonal/communication skills (oral and written) and confidence to work with risk coordinators, model experts, Credit and Operational Risk Analytics group and all levels of management
Must be proactive goal-oriented and strategic thinker

Data Analytics Senior Analyst Resume Examples & Samples

A strong academic record – a degree is preferred
Analytically minded and have the ability to assimilate and apply new techniques and knowledge quickly to deliver insights and solve problems
Strong team working and team leading skills
Experience in delivering analytics and reporting in a relevant industry sector
Experience of data extraction, analysis, cleansing, quality and manipulation skills
Experience of handling large data volumes (incl. efficiency and scalability concepts)
Desire and ambition to be proficient in various analytical tools and systems – specifically MS SQL Server, MS Master Data Services, MS Analytics, MS Reporting Services
Comfortable balancing multiple projects and priorities
Experience in the health sector performance data would be desirable
Experience in delivery of Managed Services would be desirable

Data Analytics Senior Associate Resume Examples & Samples

Utilization of QlikView, QlikSense, Tableau
Performing data analyses from collection through reporting and recommendations
Utilization of financial systems, reporting systems, research tools and standard industry practices; and,
Reporting results and providing insightful results analyses
Analyzing data and identifying trends, anomolies, etc. and developing reporting to highlight key information
Partnering with stakeholders to develop and execute various reporting packages and ad hoc reporting requests
Designing and developing consistent reporting packages and dashboards using various Business Intelligence (BI) solutions; and,
Seeking assignments appropriately to broaden individual experience, and sharing knowledge with others

Data Analytics Senior Resume Examples & Samples

Building partnerships with Business partners and Finance colleagues to develop technical solutions for reporting and analytic needs using Microstrategy
Leading technical training sessions for Microstrategy end users
Acting as liaison between the business area and technical team and act as the subject matter expert for assigned project(s)
Analyzing business requirements to independently convert them into detailed system requirements and functional specifications
Interacting with senior customer personnel on requirements and technical matters frequently requiring coordination across organizational lines
Applying project development discipline to all reporting solutions
5-7 years of related experience
BS/BA Degree in Finance, Computer Science, MIS or related field
1-2 years of experience with MicroStrategy with a minimum of 3 years’ experience developing MicroStrategy reporting solutions
2-4 years’ experience teaching technical courses, including certification, to customers and partners, including creating course materials
Experience with Business Intelligence systems or relational database management systems a plus
Strong data and financial analytical skills
Ability to quickly understand complex financial concepts
History of project level work experience with increased responsibility
Organizational skills and the ability to multitask; prioritizing assignments and working independently to ensure work is completed on schedule and meets customer expectations
Collaborate in a team environment to produce a quality product

Data Analytics Senior Resume Examples & Samples

5-7 years related experience
Proficient in working with large-scale business data sets, fluent in scripting and rapid prototyping skills including expertise in technology, including SAS on the Unix platform
Operational cash administration, mortgage loan or mortgage backed security operations

Business & Data Analytics Senior Specialist Resume Examples & Samples

Execute and Coordinate Business & Data Analytics projects requested by business units and functions, ensure continuous service delivery in agreed quality
Initiate and support the development of customization of business & data analytics solutions and liaise within the Global Business Analytics team and the global BASF community
Document & Track project and team deliverables and produce reports
Minimum 2-3 years of experience in business and data analytics in an industrial context
Successful implementation of business and data analytics solutions within large corporations
Proven track record of delivering cross-disciplinary projects with measurable business impact
International working experience and proven track record in working within diverse teams is a plus
Good understanding of internal and external data needs in business processes
Good communication and interpersonal skills and ability to establish and build sustainable internal and external business relationships

Business & Data Analytics Senior Manager Resume Examples & Samples

Lead, Execute and Coordinate Business & Data Analytics projects requested by business units and functions, ensure continuous service delivery in agreed quality
3+ years of experience in project management
International working experience and proven track record in working within diverse teams Knowledge/Skills
Good overview on statistical and mathematical methods for business and data analytics and their industrial application
Good understanding of IT system, e.g. SAP, and related data warehouses
Superior consultancy mindset with a high degree of flexibility and an ability to learn and adapt to new businesses quickly
Excellent project management and collaboration skills
Ability to adapt and work within an international context
Excellent communication and interpersonal skills and ability to establish and build sustainable internal and external business relationships

Data Analytics Senior Resume Examples & Samples

Employ extensive professional experience and creativity to resolve complex technical problems
Analyze business requirements to independently convert them into detailed system requirements and functional specifications
Develop quick apps and reports on vendor hosted BI platform
Participate in the full life cycle of an initiative, which includes identification of requirements, prototype, design, development, testing and implementation
Work closely with technical and business teams to assess impact of issues and provide alternative solutions/recovery plans to ensure goals are achieved
Train and mentor other team members on best practices and past experiences
Manage work across concurrent initiatives
Ability to positively adapt to rapidly growing and changing environment, while working under pressure
Bachelor's Degree or equivalent work experience
Experience with databases (Sybase, DB2, SQL Server, Oracle)
Previous experience supporting multiple concurrent efforts/projects in various capacities
Some application development and support coupled with infrastructure experience
Knowledge/Experience in: SAS, Excel, Visio, SharePoint
Some experience with Java and scripting language is a plus
Knowledge of fixed income products, especially mortgages
Excellent interpersonal, team, verbal, written and listening skills

Data Analytics Senior Manager Resume Examples & Samples

High level of operational knowledge of risk management, testing, data management, data analytics, data architectures, file structures and query utilities
A high level of accuracy and attention to detail and the ability to handle multiple priorities is required
Strong communication; excellent written and verbal
Proficiency in Microsoft Word and Excel
Knowledge of Accounting principles and practices
Strong level of regulatory compliance requirements and risk management principles
8+ years financial industry experience
Demonstrable experience of testing and data analytics

Data Analytics Senior Specialist Resume Examples & Samples

Operational knowledge of risk management, testing, data management, data analytics, data architectures, file structures and query utilities
Solid knowledge of tools such as Hyperion, Oracle Business Intelligence (OBIEE), MS Access, ACL or IDEA, as well as visual analytics packages like Spotfire or Tableau
Is capable of writing ACL, SQL and SAS code and operational knowledge of other programming and scripting languages like C++, Perl, visual basic, etc
Solid communication; excellent written and verbal
Knowledge of regulatory compliance requirements and risk management principles
3+ experience of testing and data analytics

Data Analytics Senior Resume Examples & Samples

Create and maintain SS&P SharePoint (2013) sites
Develop SharePoint (2013) forms, workflow, administration and reporting
Assess data quality and data integrity of Freddie Mac and external data. This involves both automated approaches as well as significant amount of manual validation of results
Create, modify and execute reports that include incorporating data from numerous disparate source systems (e.g., PS Financials, PS sPro, Purchase Orders, Workday, Fieldglass, PS Supplier Relationship Management (SRM), etc)
Understand various data sources related to Procurement and have the ability to consolidate, QC, identify and troubleshoot correction of data anomalies
Produce daily, weekly, quarterly and monthly reports to all levels of management
Create Business Requirement Documents (BRDs), data dictionaries, data flows and identify improvements in processes that results in more efficient and accurate reporting
Create Reports in PeopleSoft’s Service Relationship Management (SRM) modules
Train and mentor other team members on best practices
Ability to gather and provide information to all levels of Freddie Mac
Bachelor’s degree required in Business Management or IT-related field
Excellent understanding of MS Office (including MS Excel advanced functions such as pivot tables, VLOOKUP’s, advanced formulas, MS Access, MS PowerPoint and PeopleSoft)
SharePoint (2013) site creation, access provisions, forms, workflow and reporting
Creation of data analytics and reporting
Combining various data from disparate sources into one “cube” of data using SQL, Access etc and create automated reports from the “cube” of data
Strong work ethic, team player with organizational skills – self-motivated individual
Experience with databases (SQL Server, Oracle)

Data Analytics Senior Analyst Resume Examples & Samples

Manage tagging specs, implementation and testing (through data validation) of all web properties
3-5+ years of relevant experience in digital analytics, metrics and reporting
3-5+ years in telecommunications or wireless industry is a plus
2+ years of e-commerce experience a company with a large website and a merchandising analytics component
Experience with channel attribution experience and experience with digital advertising metrics
Experienced with SQL, Adobe Analytics (Sitecatalyst), Tableau or other visualization tools is required
Experience with Teradata, Aster, Hadoop, and testing tools (Test & Target) -- Ensighten, DFA/DFP is a big plus
Advance proficiency with Excel, Word, and PowerPoint
Effective oral and written communication and presentation skills
Exceptional logic, quantitative and analytical skills
Must be able to plan and manage numerous processes and projects simultaneously

Data Analytics Senior Resume Examples & Samples

~ 30% Support the Platform - Maintain and enhance the Microstrategy business intelligence tool and data store used to provide rapid portfolio, program, and project analysis and information. Interface with Freddie Mac engineering and infrastructure teams to ensure consistent performance and availability
~ 70% Data Analysis and Reporting - Analyze data and develop into information. Identify trends, find opportunities to increase efficiency and effectiveness, or compare past trends to current conditions and then communicate relevant conclusions to different levels of management and staff across the company. Apply strong graphic design skills to create executive level visualizations that convey relevant information and knowledge about the project portfolio
Bachelor's degree in business, management, accounting, economics, statistics, information science or similar
5+ years of relevant experience and demonstrated accomplishment
Advanced knowledge and experience using Microstrategy to produce quantitative business intelligence (level metrics; intelligent cube creation; partitioning, document & dashboard creation; visual insight)
Advanced knowledge and experience with command manager scripts
Demonstrated experience with multi-dimensional database structures, & good understanding of Slowly Changing Dimensions
Demonstrated experience researching and solving problems using industry recognized research methods, statistics, and sampling techniques
Demonstrated ability to produce executive level analytics; experience communicating with senior level executives
Using ETL tools (e.g. Informatica, Talend, SSIS, SAS) to move, manipulate and structure data in a manner that facilitates optimized analytics in MicroStrategy
Crafting optimized SQL queries against a variety of database platforms
Data modeling, and schema design optimized for business intelligence and analytics
An understanding of portfolio, program, and project management is highly desired

Fso-data & Analytics Senior Intern Summer Resume Examples & Samples

Establish relationships with client personnel at appropriate levels. Consistently deliver quality client services. Monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Stay abreast of current business and industry trends relevant to the client’s business
Demonstrate capabilities and professional knowledge appropriate for intern level. Demonstrate ability to digest, incorporate and leverage new knowledge. Possess good business acumen. Remain current on new developments in Advisory services, capabilities and industry knowledge
Take full responsibility for tasks, including consistent review of own work to identify and improve an approach for producing high quality work products, while working under supervision
Build knowledge of Performance Improvement and begin to understand the comprehensive scope of Advisory practices and competencies
Demonstrate flexibility and willingness to travel, as well as work in excess of standard hours when necessary
Pursuing a bachelor’s or master’s degree in Computer Science or Computer Engineering; minor in Decision Analysis or Business is preferred
Strong combined background in Accounting, Finance and Information Technology
Application/Database development experience working primarily with Microsoft tool set (SQL Server, VB/.net, MS Access)
A strong academic record, including, without limitation, course work that EY deems relevant to this position
Flexible and willing to travel as well as work in excess of standard hours when necessary. The ability and willingness to travel is required
A valid driver’s license due to travel requirements
Proficient in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment
Demonstrated characteristics of a forward thinker and self-motivator who thrives on new challenges and adapts to learning new knowledge
Able to work collaboratively in a team environment

Data Analytics Senior Resume Examples & Samples

Ability to use various data analysis techniques to collect, explore, and identify the right data to be visualized in a Business Intelligence tool
Assists business analysts with finding patterns and relationships in data
Experience with Microstrategy or Tableau or other data visualization and BI tools
Web page behavior and customer experience analysis
Experience in relational database structures, ETL, Big Data technologies, and data visualization workflow/automation
Experience using R, Python, or other scripting languages for data prep, analysis, and machine learning
MS or above in a quantitative field, such as Computer Science, Engineering, etc. and 3-5 years related experience
Web development experience (Javascript/CSS/HTML/D3/Highcharts)
Highly driven, results-oriented, creative and nimble problem solver and a willingness to do “whatever it takes” to deliver business value quickly
Strong verbal and written communication skills including the ability to develop and deliver presentations to multiple types of audiences. Must be able to interact cross-functionally and drive both business and technical discussions
Ability to work collaboratively with key internal stakeholders, external customers, external stakeholders, and vendors

Data Analytics Senior Manager Resume Examples & Samples

Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
We build, deploy, maintain and scale marketing solutions that reduce complexity and cost
Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
Understands the strategic direction set by senior management as it relates to team goals
Uses considerable judgment to determine solution and seeks guidance on complex problems
Determines methods and procedures on new assignments with guidance
Decisions often impact the team in which they reside
Project-based analytics including but not limited to Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Big Data Analytics, Pricing and Promotion, Trade Analytics, Markdown Optimization, Demand Forecasting, Customer Segmentation
Minimum of 9 years of increasing experience in management consulting or industry
Minimum of 7 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning (i.e. Azure, TensorFlow, etc.)
Minimum of 7 years expertise with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
At least 5 years experience with predictive analytics and BI tools which may include at least two applications from R / Revo R, SAS, Python, Spark, and Tableau
Possess a blend of marketing acumen, consulting expertise, and analytical capabilities that can will create value and insights for our clients
Experience in professional services negotiations, deal shaping, and pricing
Has project management, time management and communication skills necessary to execute the responsibilities and deliver against client expectations

Data Analytics Senior Manager Resume Examples & Samples

Minimum of 7 years of increasing experience in management consulting or industry
Minimum of 7 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, etc.)
At least 5 years experience with predictive analytics tools which may include at least two applications from R, SAS, SPSS, MATLAB, MicroStrategy, and Tableau

Resources Digital Data & Analytics Senior Manager Resume Examples & Samples

Strong understanding of different platforms, big data, big data analytics and end to end implementation and solution knowledge
Overall understanding of digital industry and its trends and driving the conversations with clients
Understanding of big data, analytics and integration
Strong relationships with vendors and prior senior client/customers
Problem-Solving and Critical Thinking
Strong delivery capability: Solution Architecting and Solution Blueprint
Must have a Bachelor's degree in Business Administration, Management Information Systems, or a related field, plus 10 plus years of progressive post-baccalaureate experience in the IT consulting industry
Experience in natural resources, utility, energy sector a strong asset
Must have willingness and ability to travel to meet client needs

Life Data & Analytics Senior Specialist Resume Examples & Samples

Demonstrated experience providing customer-driven solutions, support or service
Demonstrated experience managing/leading projects and/or with technical leadership
Extensive knowledge and understanding of data modeling tools
Solid knowledge and understanding of data analysis and statistical methods
Extensive knowledge and understanding of data governance, data quality and data security principles and best practices
Extensive experience with reporting tools and methods; SAS, SQL, Excel Macros/VBA
Extensive knowledge and understanding of business analytic frameworks, methodologies, and tools/techniques
Extensive knowledge of data mining and warehousing tools and methods

Data Analytics Senior Manager Resume Examples & Samples

Design value-added data analysis “business cases”, in order to find the appropriate use of data to bring value to all ongoing audit missions
Expand the sampling approach of audit missions, targeting a full population analysis when possible
Perform data discovery and analytics using Computer Assisted Auditing Tools (CAAT), Spotfire, ACL, Excel, or other internal data analytics tools (i.e. Osmose), as part of specific audit assignments led concurrently by the internal audit teams; advise heads of assignment and supervisors with ways to obtain and use data
Proactively identify key data sources and obtain access, feeds, and files necessary to perform data analytics
Document, diagram, and present complex/technical material that can be understood by a non-technical audience
Contribute to the development of data analytical testing methods (procedures, guidelines, templates, etc.) to promote efficiency, add value, and expand the use of data analysis within Internal Audit
Complete assigned projects timely, accurately and professionally
Assist facilitating training, learning, and knowledge dissemination events for staff; contribute to data analytics related training and knowledge dissemination strategy for the department, assessing the feasibility of different delivery methods
Maintain professional skill level through on-going education and training activities to support company needs. Additionally, provide guidance on data analytical training activities and develop targets to further the competency of the Internal Audit team
Undertake other duties consistent with the purpose of the role
Experience with some of the following in order to query, transform, and/or present data: Excel, Access, VBA, SQL, Spotfire, ACL, etc
Experience working with large complex data sets, drawing conclusions, and reporting findings
Proficient in Microsoft Office (Outlook, Word, Excel & Power Point), strong technology and computer skills
Ability to work in a team environment; as well as independently
Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability
Equipment Used in Job Performance/Working Environment
Personal Computer
10-Key Calculator
Photocopy Machine
Facsimile Machine
Printers
Telephone
Automobile
Minimum of a Bachelor's degree (Data Analytics, Mathematics, Models, Audit, Computer Science, or MIS preferred)
At least 1-2 years of experience in a Data Analytics role/function
Banking related experience (audit or otherwise) preferred
Certified Information Systems Auditor (CISA) or Certified Internal Auditor (CIA) preferred

Data Analytics Senior Resume Examples & Samples

Use predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right condo data to be analyzed from internal and external sources
Build datasets for analysis by importing and converting data from various data formats, files systems and relational databases
Create management reports to quantify Freddie Mac’s condominium exposure
Collaborate with business partners to ensure data quality aligns with business needs
Bachelor’s degree and 5 to 7 years’ hands-on experience developing data extraction, data integration, data quality, and data management processes in a SAS environment
Database knowledge on DB2, Sybase, Oracle, SQL Server, Access
Experience administering SAS and ability to configure SAS to work with multiple data sources and platforms (RDBMS, flat files, etc.)
Strong working knowledge of SAS Data Integration Studio
5+ years’ experience designing and developing highly efficient SAS code for use in automated data processing systems on UNIX based platforms
Skilled in the MicroStrategy dashboard development
Must have project experience with implementing advanced SAS coding techniques to optimize performance and have developed best practices for efficient coding
Proficient in working with large scale data sets, fluent in scripting and rapid prototyping skills including expertise in SAS, Command Center, Rapid SQL, etc

Data Analytics Senior Resume Examples & Samples

Data processing, enrichment, and preparation
Qualitative and statistical analysis
Developing insights, identifying trends, finding opportunities to increase efficiency and effectiveness
Building reports, dashboards, and infographics
Working with tools like MicroStrategy, SQL Server, RStudio, Tableau, and SharePoint
Presenting strategic insights to executive and other audiences
Advanced knowledge and experience using MicroStrategy and/or similar tools to produce quantitative business intelligence (level metrics; intelligent cube creation; document & dashboard creation; visual insight)
Demonstrated experience with multi-dimensional database structures
Advanced UX or graphic design experience hands on experience implementing business intelligence solutions that apply tenets of interactive design and appealing user interface
Hands on ability and experience producing executive level analytics, dashboards, and presentations
Ability to demonstrate excellent business analysis and communication skills including communicating to senior level executives
A portfolio or ability to demonstrate capabilities
A systems thinker that enjoys solving complex problems and excels when challenged
Advanced scripting knowledge and experience
MicroStrategy v10.x roles Developer and Architect. (Includes Architect, Advance Report Development, Document and Dashboard Design, Visual Insight, MicroStrategy Mobile Apps, Command Manager
Crafting optimized SQL queries against a variety of database platforms (MS SQL Servicer, Action Matrix or other MPP databases)

Data Analytics Senior Resume Examples & Samples

Collaborates with external data owners to ensure source data quality aligns with business needs
May build predictive models using data, tests the model on results outside of the sample size and verifies the model in the real world
Projects may include: testing strategy development for marketing initiatives, supporting product lifecycle decisions, evaluating product utilization, supporting fraud detection, etc
Must possess strong understanding of internal business segment (stakeholders) and may require presentation skills
Bachelor's degree in business, management, accounting, economics, statistics, information science or similar field
Deep understanding of Freddie servicing data, data models and business processes
5+ years of substantial SAS experience, to include the following products and components – SAS/MACROS,SAS Enterprise Guide 7.1,SAS Grid, SAS/MACROS, SAS/SQL, SAS/ACCESS, SAS/CONNECT, SAS/ODS, SAS DDE, SAS PROCS, SAS/AF, SAS/SCL,SAS Web Report Studio
Advanced knowledge and experience using MicroStrategy and/or similar tools to produce quantitative business intelligence (i.e., level metrics; intelligent cube creation; document & dashboard creation; visual insight)
Significant hands-on ability and experience in producing executive level analytics, dashboards, and presentations
Significant experience crafting optimized SQL queries against a variety of database platforms (e.g., MS SQL Servicer, DB2,Sybase)
Strong understanding of data warehouse concepts, tools and ETL scripting
Advanced degree in a quantitative discipline such as Math or Statistics

Data Analytics Senior Manager / Director Resume Examples & Samples

You will define and implement brand new Data Analytics methodology and tools, to support audits
You will support the leadership team in the integration of overall analysis, exception reports, data mining, clustering and process mining
You will manage demanding audit engagements from a data analysis perspective
You will join our motivated, multicultural team at our Geneva’s office
We offer you a work environment dominated by a strong team spirit that will allow you to develop both professionally and personally
You hold a university degree and have already experienced Project Management
You have strong skills in Data Analytics
You have strong knowledge in data analytics tools such as Tableau or Qlikview
You have strong knowledge in SQL language
You have a proven track record in implementing reporting based on data analytics
You have a wide experience in different IT environments
You have proven experience in international engagements and worked with international teams
You work independently, efficiently and are solution-oriented
Strong analytical, organizational and interpersonal skills are a requirement
Experience in the field of accounting/controlling and/or auditing would be an asset
You communicate confidently in English. French and German are an asset

Data Analytics Senior Resume Examples & Samples

Responsible for providing a consultative approach to key stakeholders (primarily sales) and senior management that delivers timely, accurate and reliable business analytics and reporting
Supports Sales C360° MicroStrategy monthly reporting, adhoc reporting, documents, dashboards, and mobile
Supports the Customer 360° ‘C360°’ Governance structure (Stakeholder Management, Change Management, Issue Management, Continuous Improvement)
Uses statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources, then constructs reports, software systems and algorithms to solve a variety of business problems
Must possess strong understanding of business segment and may require presentation skills
Requires experience in relational database structures
Maintain appropriate documentation for key processes
Proficient in MicroStrategy, Excel and other Business Intelligence analytics platform experience
Experience with querying, analyzing, reconciling and testing large volumes of complex relational data
Typically has a bachelor’s degree and 5 - 7 years related experience
Knowledge of the mortgage market
Ability to work independently and with business partners at various levels of the organization
Ability to work in a dynamic, rapidly changing environment