I thrive on innovating and incubating new analytic capabilities. Ventula Consulting hiring Data Analyst - Leeds/ Hybrid - 45,000 per ), including any combination of the following: back testing, stress testing, sensitivity testing, benchmarking, capital calculations, reporting standards, etc, SAS or Matlab. Analytics Consultant Resume Example Msci - Oakland, California - livecareer A passion for turning information into insights, bringing the full toolkit including sales (mix, pricing, assortment), panel and custom research. People Analytics Senior Consultant Job in Dayton, OH - Deloitte Exposure and/or proficiency to other analytical tools such as R, SQL, C++, VBA, Murex, Calypso, Numerix, etc., desirable, Solid project management experience including: defining scope, setting project timelines and milestone, driving deliverables, identifying risks, addressing issues, project economics and client relationship management), Model development/quantitative skills should include any combination of the following: multivariate regression models, transition matrices, stochastic processes, econometric models, neural networks, Monte Carlo, etc, Demonstrated experience with credit/market risk type models (e.g., ALLL, PD/LGD, Roll Rate, VAR, SVAR, etc. Activities are subject to business measurements, impact customer satisfaction, and impact project costs or expenses, Combine top analytical skills with knowledge of the business of Claims to build and produce models to impact our business in positive ways, Drive Predictive Analytics strategy in Personal Insurance Claims by presenting recommendations and analyses to senior and executive level management at Liberty Mutual, Work with data scientists with a broad range of analytical expertise and claims subject matter experts to deliver data products and provide business insights through quantitative analysis (Predictive Modeling, Optimization, etc. SAS STAT, SAS Macro), SQL, Oracle and/or Matlab to work with and manipulate large-scale, high-dimensional data sets, Developing data queries and building reports to translate analytical information into key insights, Using modeling tools such as SAS Enterprise Miner and/or SPSS, Building and maintaining large analytic data sets, Performing data mining, Statistical Analysis, and/or predictive modeling techniques, including multivariate statistical modeling, logistic regression and decision trees, Reporting and presenting predictive modeling results/findings to a broad audience including senior leadership; and, Collaborating with peers and cross-functional teams, and providing analytical support to a team of predictive modelers, Bachelor degree in business, mathematics, information systems, statistics or related field, 6 years technical experience using SQL to create reports or deliver data analysis, Experience implementing data initiatives including data modeling, data mapping, and creation of ETL processes, Analytical thinking, Communication for results, Conceptual thinking, Information seeking, Takes initiative, Results oriented, Team player, Experience with relational databases/SQL 5 years, Experience with analytic language (python, R, etc.) for geospatial analysis, Ability to obtain and maintain a Federal Security Clearance, 3+ years of experience with geospatial software development / engineering, Ability to communicate effectively to all levels of client and engagement management, Capable of balancing multiple projects or tasks, Demonstrated ability to provide services involving accounting and business consulting projects; participate in client presentations, Experience with digital cartography, image processing, computer technology, GIS software, geospatial production techniques, remote sensing, and photogrammetry, Experience with ArcGIS, Python, SQL, JavaScript, Java or .NET, Experience with ESRI, Pitney Bowes, Alteryx technologies and other appropriate software to analyze geospatial data, Experience with programming languages, frameworks, platforms, ORMs, (e.g. Ability to develop presentations with proven data interpretation capabilities, Approximately 5+ years of related work experience; Digital analytics experience is preferred, and a strong interest in digital is necessary, Strong math, analytical, and problem-solving skills, Proficient in Excel, PowerPoint, and SAS/QL. firewall and border router configurations, operating systems configurations, wireless architectures, databases, specialized appliances and information security policies and procedures). Presents findings and recommendations to executive leadership, Supports the business scenario modeling process with market analysis, performance and data analytics, forecasting and seeks additional data resources to fully vet business opportunities, Develops forecasts for profitable growth for all service lines, SAHS entities, Regional Health Ministries (RHMs), Saint Alphonsus Medical Group (SAMG) and the Health Alliance, Prepares market assessments, demographic analysis, current and future state for new markets as requested, Researches analytical methods, models, and software tools to develop new approaches for the statistical and computational analysis of various data sets, May be assigned to strategically manage portfolio(s) of designated system-wide programs and initiatives, Using data and analytical models to guide discussions, serves as a strategic advisor to Service Line Leaders and Accountable Executives in the successful growth and evolution of service lines and strategic initiatives, Provides direction and oversight for the completion of system-level annual reports. Objective : Highly qualified Analytics Consultant with experience in the industry. Analyzed bundled loan transactions and ensured the accuracy of all financial data. Resumes of Analytics Consultant . Expert in optimizing views, ETL, Data modeling/warehousing, Data analysis/visualization in SAP Analytics Could. Country and language. Los Angeles, CA. Monitor and report on progress and results as requested, Conduct special research and/or analytical studies as directed, 5+ years hands-on experience in building predictive models (logistic, linear, decision tree, chaid, cluster, neural network) utilizing SAS Stat, R, SPSS, Python (utilization of SAS Stat is preferred) within the financial services industry, Hands-on experience in SQL and SAS programming and SAS statistical procedures (Reg, GLM, Univariate, Ttest, ANOVA, Means), Knowledge and experience in other statistical and analytical applications such as Minitab, SPSS, R, Python, Hands-on experience with various modeling and analytical techniques such as Linear / Logistic / Stepwise / Survival Analysis / T-Test / Time Series / ANOVA / Correlations / Clustering / Decision Tree / CHAID / Neural Network / Machine Learning / Chi-Sq, Hands-on experience with Experimental Design (pre-and post-test, quasi-experiments, factorial designs, control groups, true experiments), Deep understanding of various modeling and analytical terms and concepts such as incremental / lift / K-S / R-square / weighting / indexing / gains chart / bi-variates / correlation / colinearity / covariance / design-of-experiment / sample size / bootstrapping, Experience in data mining, extracting data from various relational databases (SQL Server, Oracle, DB2), and investigating, cleansing, prepping and transforming data for model development, Familiarity with visual analytics (Tableau), Ability to analyze and synthesize complex data into clear action-oriented recommendations for the business, Ability to communicate and present both verbally and in writing analytical insights clearly and concisely to senior management and other individuals from diverse backgrounds, Deliver complex high quality solutions to clients in response to varying business requirements, Educate a project team on an Analytics Software Implementation/Development Lifecycle, Evangelize PowerBI, Cortana Intelligence Suite, Analytics Platform System (APS), Deliver and develop PowerBI(Cloud and Desktop), SQL Server Analytics Platform Solutions and other Microsoft BI products (SSIS and SSRS), Previous experience with implementing custom applications in .NET / SQL Server environment pot .NET 3.5, Utilize and lead workshops to assist clients in implementing Analytics solutions, Be a member of a team using an agile methodology and deliver Analytics Implementations, At least 2 years experience in configuration and development of Sql Server Analysis Services, SSRS, SSI, At least 2 years experience in SQL Server infrastructure optimization, At least 1 year experience in PowerBI or Analytics Platform System (APS), At least 2 years experience in extending Analytics solutions with other Microsoft technologies and tools such as custom development SharePoint solutions, ASP.net, VB, .Net, C#, javascript, At least 1 year experience in application development of .NET / SQL Server business solutions, At least 1 year experience in Azure applications, At least 1 year experience in Azure Active Directory integration, At least 1 year experience in Office 365 integration, At least 5 years experience in SQL Server Integration Services (SSIS) or SQL Server Reporting Services (SSRS), At least 5 years experience in extending Analytics solutions with other Microsoft technologies, At least 1 year experience in Azure Machine learning, At least 1 year experience with regression analysis and statistical modelling in Microsoft, Expert experience with Domo or other reporting visualization tools (Tableau, Qlik), Responsible for strategically planning and promoting the continual innovation and development of data collection, reporting, and insights for the Broadband team, Assist with defining, communicating and enforcing analytics standards, policies and data governance, Able to consistently present a positive, flexible attitude and contribute to a fast-paced, high-visibility team environment, At least 1 of the following Analytic/Analysis skills: Regression Analysis, Simulation, Optimization or Forecasting, Strong Documentation skills for Forecast Development, 3 years of SAS and/or SQL Server Integration Services experience, MS in Statistics, Analytics, Operations Research, Applied Mathematics, Econometrics Analysis ie-economic indicators, economic analysis, Tableau - implementations or using for reports/analytics, PLEASE SEND TO CANDIDATES ONCE APPROVED BY AM FOR SUBMITTAL-Have the candidate review the full job description, ask if they can retool their resume to reflect their most recent and relevant experience for this Analytics Consultant/Forecast Analyst role, Bachelors with 6+ years reporting and analytical experience or a minimum of a Masters degree in an analytical field such as applied mathematics, statistics, engineering, physics, accounting, finance, economics, operations research, or computer sciences with 3+ years directly applicable work experience, Strong communication and presentation skills; able to communicate analytical data effectively to all levels of the organization either in person, over the phone, or in writing, Demonstrative knowledge of forecasting methods, forecast accuracy metrics, and associated statistics, Demonstrated application of advanced problem solving and analytical skills, Ability to balance and prioritize responsibilities to manage tight deadlines, Able to multitask and work in a constantly changing, fast-paced environment, Ability to independently organize work, compile research, perform in-depth analysis on critical operational data, document and/or report concisely and accurately, and is thorough in carrying out the responsibilities of the job, Proficiency with Microsoft's suite of Office products: Word, Excel, Access, PowerPoint, Visio, Proficiency in statistical software such as R, S-plus, SAS, Minitab, etc, A proven ability to work cross functionally with stakeholders to ensure best outcome is achieved, Highly self-motivated with a passion for driving results and achieving success, MS in Statistics, Analytics, Operations Research, Applied Mathematics or equivalent, Manages initiatives that support cultural transformation and strategic objectives of the Independent Risk Management (IRM) organization, Facilitates the interaction between IRM and the businesses and identifies and understands risks undertaken by the businesses, Coordinates risk management initiatives across the organization and ensure appropriate level of business involvement in these initiatives, Oversees the progress of assignments; ensures activities are consistent with the objectives, provides status reports and elevate concerns when necessary, Develops and maintains execution plan and implementation schedule; controls the planning, organization, and implementation of activities to assure timely completion, Analyzes and ensures issues and concerns are addressed in a timely manner, Initiates risk dialogue among members of IRM, business management teams, and business risk officer, Ensures tools, reporting, and processes are understood, used, and effective in supporting business activities, Develops training and communication strategies to facilitate effective implementation, Consistently build depth and breadth in technology expertise in Business Intelligence (BI) and Predictive analytics (PA) via mandated training, access to enterprise cutting edge engagements and working with Accenture client teams, Assist sales team with responses to RFI/RFPs and develop and presenting demonstrable material to support these efforts, Provide expertise in BI and PA technology in combination with industry standard statistical techniques to implement solutions to meet customer needs, develop tools and assets to improve delivery and drive innovation in digital analytics, Evangelist and advocate in adoption of leading technologies / concepts in digital analytics, Contribute to building and growing the Analytics practice within the Products Operating group, Minimum 4 years of experience in Business Intelligence consulting, Candidates with more years of experience can be considered for Manager level, At least 2 Business Intelligence or Predictive Analytics implementation experience with MNCs involving global roll-outs and C-Suite interaction, Project experience with 1 or more of the following industries will be advantageous, Ability to refine industry business processes to drive Business Analytics and predictive applications, Proficiency in capturing customer requirements and translating into BI / PA solution to demonstrate Digital capabilities for prospective clients, Ability to design overall data architecture and solution for BI / PA applications, Capability to model solutions and deliver executive-level presentations / demos (both written and oral) to help drive compelling business results for our clients, Proficiency / expertise in leading BI and PA technologies. Assumed responsibility for developing recurrent sales forecasts. Provided credit surveillance and analytics of the Master Servicing portfolio. Analyzed financial (fi) statements, budget reports, and product cost analyses for a division of a Fortune 100 company. A data analytics consultant salary can vary depending on the firm and the specific role. Key Experience:. Identifies gaps in current services, proposes solutions and implements changes as appropriate. Relevance. Ability to effectively interact with all levels of CNAs internal and external business partners, Ability to work independently, as well as in a team, manage time and resources to accomplish multiple tasks and meet deadlines, Solid project management skills and strong organizational skills with the ability to prioritize and manage work deliverables/projects effectively, Bachelor's Degree in Business, Economics, Mathematics, Finance, Statistics, Actuarial Science or related field, Participate in design of analysis, modeling approach and model documentation with managers and modelers, Use variety of analytical tools (SAS, CART, SPSS etc.) Must also have, Bachelors Degree in Engineering, Computer Science or Statistics, Masters Degree in Business Administration, Statistics or Operations Research, 2+ years of experience with data visualization tools such as tableau, spotfire and qlikview, Able to build, maintain and own relationships, Strong conceptual knowledge and understanding of databases and statistics, Solid Microsoft Office (Excel and power point) skills, Combine analysis with strategic thinking and business requirements to create a cohesive story and actionable results for our clients, Provide guidance in troubleshooting client issues with other Consultants, Coordinate with Program Manager/Program Director to ensure that timelines are met and knowledge is successfully transferred across the client team, Manage junior team members on day to day assignments, Consult with business partners on analytic solutions to drive value, Prepare and vet analysis plans and expected outcomes to ensure business needs will be met, Architect complex Analytics and Reporting solutions, Advise on development of and derive actionable business insights from reporting technologies like Tableau or Microstrategy, Prepare and vet data-driven recommendations that improve specific value, Ensure analytics solutions are implemented and perform as expected, Manage the day-to-day activities of the Analytics Center of Excellence, which is tasked with delivering data-driven recommendations by applying analytics within a Hadoop environment, Lead cross-functional teams to deliver targeted outcomes using an Agile development process, Develop other analysts on the team by sharing and training on best practices, Maintain our repository and other relevant documentation, Drive automation capabilities into reporting solutions, Represent clarity at client meetings with a goal of increasing face time with key executives and decision makers. Interfacing with customers for business requirement gathering, conducting system analysis and finalizing technical / functional specifications and creation of high level design documents. Experience with statistical techniques (e.g., regression analysis, cluster analysis, and decision trees), Experience with visualization tools such as Tableau or QlikView, Experience with DB administration an advantage, Experience with Big Data and Hadoop platform an advantage, Perform validation and quality control checks on developed logic, Take ownership of small to medium sized projects and deliver best-in-class solutions, Including: leading exploratory meetings to define requirements, writing project proposals or business cases, producing the plan of the project (contingencies, dependencies and critical paths), playing a leading role on delivery and publishing of results. For a division of a Fortune 100 company the specific role analyzed bundled loan transactions and the... 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