Headline : As an Analytics Consultant with 5 years of experience in Identifying actionable sourcing opportunities for our clients through the utilization of advanced data analytics and procurement expertise, etc. Experienced with all nature of problems and issues that arise from each functional area (Engagement, Analysis, Architecture, Build, Test, Release) and optimal paths to resolution, Experienced in managing professional teams across each SDLC area. Applied and/or develop highly advanced data access routines to extract data from source systems for monitoring operations compliance to banking Laws, . pre-analysis, execution and post-analysis, Selected advanced analytics on distribution and client data (e.g., decision trees, near neighbor and association analysis), Conduct analyses that identify/assess business opportunities and address key business challenges, Guide/develop predictive propensity and segmentation models using statistical techniques such as logistic regression, decision trees cluster/factor analysis, neural networks etc, Become expert knowledge of Sun Life customer data and be knowledgeable of external/ 3rd party macro-micro data, Identify, verify, evaluate and validate hidden patterns in customer and advisor data, Formulate and execute queries, with reports that clearly answer business questions related to cross-selling, up-selling, lifestage purchase patterns, etc, Design, develop and implement performance metrics to support campaign measurement, analysis, and reporting and measure effectiveness of [predictive modeling efforts, Support analytics for various advisor and client marketing campaigns, Support execution and rollout of enhanced business intelligence, including data visualization, Comply fully with all privacy, confidentiality, do not contact, SLF Code of Business Conduct, data security, and other requirements related to customer data, Maintain current knowledge on quantitative data mining tools and techniques, Perform quality assessments and document findings, Provide input into domain quality roadmaps, Interpreting analytical data from multiple data sources and prepare findings document/presentation, Review project artifacts for adherence to best practices, Understand opportunities for enhanced automation and continuous integration, Bachelors Degrees or equivalent experience, Experience with data, metrics and basic analysis (Data Analysis/Statistical analysis), Knowledge of SDLC - Agile and/or Waterfall Methodologies, Knowledge of Microsoft office products is required. Ran simple queries in SQL across multiple data sets to drill down and mine data for AML progress reporting. Manage PIDs and email in SAML mapping in SC. Created the Access reporting tools to automate and prepare monthly, weekly, and daily reports for Excellence First program; Use Salesforce to customize reports and dashboards for performance tracking Streamlined the data collection process for Client and FA Impact and Sentiment report using SharePoint server. Expand Planned, verified, and integrated IAM solutions for complex applications, Examined the status quo and provide innovative solutions to align with industry standards and begin to steer us to be a leader in this space. Interfacing with customers for business requirement gathering, conducting system analysis and finalizing technical / functional specifications and creation of high level design documents. Communicated with program managers to define their requirements and deliver technology solutions to improve business processes. Analyzed financial (fi) statements, budget reports, and product cost analyses for a division of a Fortune 100 company. Refine Reset All. Work experience with R or Python is highly preferred, Master degree in Statistics, Data science, Industrial Engineering, Operations research or related quantitative fields, Experience in leading cross-functional projects, Ascertain objectives and requirements from business partners, Design, direct or execute statistical and marketing analysis, interpret results, formulate recommendations, and present to management, Establish and maintain a thorough understanding of the statistical and business impact of key variables on direct mail performance, Proactively identify trends or developments that may impact business plans or performance or which may represent opportunities for DM channel, Continuously expand and grow competency in statistical and analytical principles, tools and techniques, and advise management, clients, and other business partners on the effective use of analytical methodologies, particularly those related to statistics and modeling, At least 5 years applied business statistical analysis experience, preferably in the credit card industry, Experience should include target marketing and encompasses experimental design in a SAS environment, Experience presenting technical information to management, Knowledge and ability to apply advanced analytical methods, techniques and tools. Provided credit surveillance and analytics of the Master Servicing portfolio. Reviewed the ERO ground contract acquisition strategy and recommended an enhanced CLIN structure and standardized reporting requirements for the Office of Acquisitions (OAQ). GOOGLE ANALYTICS CONSULTANT Professional Summary Motivated soon-to-be graduate with Marketing and Supply Chain Management degrees seeking entry-level position. Proficient in MS excel, Awareness of Six Sigma, Lean, ITIL methodology, Awareness with ITSM processes (Incident, Problem, Change), Awareness of tools like Service Now, Rally (CA Agile Central), HP ALM, Interpersonal skills - strong communication skills, 3+ years of experience in IT data analysis and design, 3+ years of experience in all phases of Software Development Life Cycle (SDLC), 3+ years of experience translating business requirements into detailed system specifications, Advance capabilities in business intelligence, advanced analytics, big data and digitization, Translate business requirements into functional and technical specifications, Lead design, development and test of new solutions, Collaborate with the service delivery teams on key issues, as well as transition projects into run and maintain, Assist in driving a self-service model and adoption, Guide and educate the business users with the goal of making sure the best solution is created for getting insights, Stay informed about Business Intelligence industry trends, technologies, and best practices that can be applied to achieve our business goals, 7+ years experience of working with BI tools, 3 years development/programming experience, Experience with industry BI/Reporting toolsets such as Tableau, SAP Business Objects, A good understanding of business processes, and transactional systems, Demonstrated knowledge of data modeling, database concepts and data management, Strong problem-solving, analytical, and investigative skills, Experience interacting with customers to determine requirements, Effective written, verbal, and presentation skills with the ability to collaborate with team members and business stakeholders globally, Must be comfortable with juggling multiple priorities with the ability to organize and complete numerous assignments through prioritization and time management to deliver projects on time with high quality, Creative at finding solutions for a transforming business needs, Detail-oriented individual with the ability to rapidly learn and take advantage of new concepts, business models, data models, and technologies, Working knowledge of agile development methodologies, Must be able to work independently, with moderate/limited supervision, or collaboratively within a team, Ability to be a self-starter that can provide leadership, Bachelors degree in business, information systems, computer science or related field, Basic skills in managing and manipulating large, complex datasets, Basic working knowledge of languages such as SQL and statistical software such as SAS or R, Basic skills in leveraging visualization tools such as Tableau, Ability to analyze and interpret low to moderate complexity concepts, Ability to provide written and oral interpretation of specialized terms and data, and ability to present this data to others with different levels of expertise, Analytic agility and intellectual curiosity, Basic understanding of the Insurance market place and economics (preferred), Knowledge of Allstate data sources such as ADW and CDF (preferred), Conduct review of business as usual communications for the Independent Risk Management and Risk Information Management, COO Management and Corporate Insurance, Prepare communications as defined by strategic plans developed by IRM Talent and Communications team, Provide support for IRM COO Communications including intranet, presentations, department overviews, etc, Support managers of strategic communications and talent, as appropriate, Bachelor's degree in Communications, Business or Finance, required, Minimum of 2-5 years of progressive experience; financial services industry and/or communications experience preferred, Effectively manage multiple projects simultaneously, Strong verbal/written communication skills, excellent interpersonal skills and ability to work effectively with people in a wide range of positions, Strong skills with PowerPoint, Excel and Word, Ability to lead and deliver conference calls with executives, Collaborate and enable business stakeholders with self-service analytics, Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations, Familiarity or strong desire to understand quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression, artificial intelligence), Quantitative background with 2-4 years of experience using data to solve problems and answer questions, Experience with ETL and manipulation of Data, Working knowledge of Python, R, SAS, or other advanced analytics platform, Some experience using Tableau, Qlik, or Power BI, Familiarity with advanced analytics techniques for unstructured data is a plus, Expert analytic skills including experimental research design, Can turn data and information into actionable insights, Can work effectively as a part of a team or independently, Expert at using BI analytic software, preferably SAS (Base, Stat and Graph), Solid knowledge of financial service products, marketing and sales, Knowledge of the business of banking, Demonstrates integrity in action/words, Customer focused, Design and help maintain Data Warehouse / Big data environments, capable of processing TB of data per day in real time, and scalable as needed to store PB and EB of data, Effectively work with business owners to gather requirements, gain deep understanding of use cases and business needs, and translate into design and architecture, Integrate big data components, libraries, and systems required to properly perform low - latency analysis of data, including but not limited to regression, machine learning, Create and implement an in-depth security plan for protecting data end to end, capable of handling modern best practice enterprise privacy and encryption needs, Create thorough documentation of all aspects of your design, design choices, trade - offs, and alternatives and back up your choices with thoughtful analysis, Measure system performance on a daily basis, suggest and perform modifications to improve desired behavior, Coordinate with team in US and Offshore for day to day activities, Work with Multiple stake holders to keep the projects on track, 6+ years experience working in a high volume DataStage environment, Solid experience troubleshooting performance issues, SQL tuning, 6 + year of experience on Teradata utilities, 6+ years experience in applications systems analysis and / or development and / or support, 6+ years experience with high level technical phases of applications systems analysis and programming activities, 6+ years experience with MS Office (Outlook, Excel and Word), Understanding of Datawarehousing concepts and Change data capture, Solid experience with complex shell scripting using Unix, and PERL and Crontab, Tivoli (TWS) or Autosys or equivalent job scheduling tool experience, 3+ years experience in Hadoop, Hive, HBase, Spark,Talend, Sqoop,PIG Scripts,Shell script ,Python, Map reduce Framework, 3+ years experience as a big data developer, Previous experience on working with Big Data Projects, 5+ years of scripting experience with shell, Perl, Python, R, Scala, Pig, Oozie, Java or similar, 5+ years of RDBMS experience with Teradata / Oracle / MySQL / MSSQL / NoSQL or similar, Excellent understanding of big data platform and architecture, Thorough and extensive knowledge of the Hadoop ecosystem and distributed computing, including but not limited to Hadoop, Hive, HBase, Flume,Spark,Talend, Sqoop,Map-Reduce framework, Experience writing and debugging several scripting languages (R, Python, Java, Pig, Oozie) for low-level processing, scheduling tasks, analytics, and similar, Experience tuning, benchmarking, and performing maintenance on large-scale enterprise systems, as well as smaller proof-of-concept type clusters, Knowledge of modern security best practices and techniques for encrypting data in transit and at rest, protecting data privacy without sacrificing performance or data analysis capabilities, Knowledge and experience interacting with application servers and web servers such as Nginx, Redis, IBM WebSphere, Tomcat, WebLogic, etc, Ability to visualize and map out all components of an architecture powerfully and succinctly to call out in executive level reports and presentations, Ability to demonstrate and convey complex ideas to executives and technical staff in plain language, Excellent interpersonal, oral, and written communication skills, Highly motivated and success-driven with a strong sense of ownership, Comfortable working in a fast-paced, Agile, competitive environment, Ability to work independently and in group environments, Ability to problem solve effectively and efficiently, Collaborates with the team to create data analytics solutions to clients, Interpret data, analyze results using statistical techniques and provide ongoing reports, Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency in client environment, Presents to team and clients on data analytics solutions, Integrates technical expertise and business understanding to create superior solutions for clients, Locate and define new process improvement opportunities, Possess a Bachelors degree in Computer Science, Engineering or Statistics with a minimum of second class upper grade, A minimum of 5 credits in O'level subjects in not more than two sittings, Possession of CISA certification would be an added advantage, 3 to 5 years data analytics skills, synthesizing information across multiple platforms, systems, and organizations, Experience in researching and manipulating complex and large data sets (both distributed and non-distributed), Proficient in one or more programming languages such as Python or R, Experience working with database such as SQL Server or Oracle database, Experience with data visualization tools, such as Tableau/Qlikview/Power BI, Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, Experience with Hadoop will be an added advantage, Possesses strong analytical/logical thinking and communication skills, Experience validating, cleansing, transforming, and modeling data in order to discover useful information and translate information through report creation using Tableau, Power BI, R, Excel, or other data visualization tools, Experience with data extraction, validation, mapping, report development and automation, Experience working with data warehouses or databases, Preferred exposure to data analytics tools such as SAS, MicroStrategy, Tableau, Qlikview, etc, Developing a strong, mutually beneficial relationship with the business stakeholders and internally within D3, Ensuring partnership through the development process to in order for successful transition of research to an operational state within the business unit, Strong communication skills - both written and oral, Intermediate Qualitative and Quantitative analytical skills, including knowledge of the use of data sources and applications to conduct research, Developing advanced cutting edge models to predict consumer intent, context, Dealing with large amounts of data through cloud based platforms, Leading brainstorming sessions on new modeling techniques, analysis that could be applied in a particular situation, Independent contributor as well as responsibility to manage delivery of a small offshore team, Creating world class cutting edge data products using advanced statistical techniques, Graduate degree in Engineering, Computer Science, Analytics from prestigious institutes, 4+ years of hands on experience in the analytics space, preferably as part of a consulting firm, Extensive hands on experience (4+ years) in Machine learning techniques and advanced statistical modeling such as Nave Bayes, SVM, Random Forest, Gradient Boosting, Experience in deep learning is preferable, Experience in Big Data management, Hadoop, Hive, SCALA is a plus, 3+ years of experience in Spark R, Python is highly preferable, Experience in the retail industry is preferable, Experience in ad-tech (ad-exchanges, DSPs, DMPs etc.) Skills : MS Office, Communication Skills, Coordinating Skills. Experience using QlikView preferred. Coordinating Onshore/Offshore technical Teams to achieve deliverable in time. The average data analytics salary is ~$93,000 per year, but the range is wide. Here's how sas is used on analytics consultant resumes: Develop SAS processes for business users to extracts summarized data and distribute business summary reports through automated email. Managed complex client/partner initiatives by performing analyses and translating into strategic goals Collaborated and built effective partnerships. 1 Review the job posting closely. Writing an effective Analytics Consultant resume is an essential part of your job search. Performed technical aspects of analysis and research, including but not limited to: data management, data visualization, reporting, predictive. Headline : Analytics Consultantr with 4+ years of experience working on CEO-agenda projects across Retail, CPG and Food Beverage industries 2 years of experience with a top tier management consulting firm Accomplished at developing strategic solutions to diverse problems including business transformation, marketing, personalization, merchandising and cost reduction. ), Bachelors degree inMathematics / Statistics / Analytics, 10+ years of C-level selling and BD experience required, Master's degree / PhD in Mathematics / Statistics / Analytics is preferred, Experience of working in, and leading, a virtual and remote organization, Proven ability to negotiate and close sales is essential, Global / multi-national sales experience would be a major asset, Six Sigma qualification to at least Green Belt level, Customer relationship and development skills, Ability to understand and convey complex business proposals, technical solutions, deliverables and financial results or issues, to Honeywell and client management, Strong communication skills with the ability to address multiple levels of the internal and external organizations orally or in writing, Global view, with the ability to see and communicate the broad business case without losing site of the underlying details and concerns, Aligned with client perspective and issues, leveraging the entire HPS portfolio to address their business needs, Ability to energize the direct team and Sales resources to achieve continually increasing performance levels, High level of cultural awareness and sensitivity, Use programming skills to build new tools or analysis pipelines in platforms using SQL, R, C++, and/or VBA, Develop processes that automate various reporting and pricing processes, Perform research on various catastrophe-related topics and model validation exercises, Learn about new sources of aggregation and develop processes to effectively manage CNAs exposure, Communicate and collaborate with underwriters, actuaries, capital modelers, reinsurance placement colleagues, and other stakeholders, Work independently and have a high degree of accountability, Experience programming in any language such as VB/VBA, Python, Java, or C++, Ability to effectively interact with all levels of internal and external business partners, Solid knowledge of RMS and/or AIR catastrophe models is desired, Knowledge of commercial insurance or reinsurance is desired, A Bachelor's degree in technical field, such as computer science, math, actuarial science, statistics, engineering, physical science, or equivalent. Relevance. Provide technical and methodological leadership to the team, Promote a risk-aware culture; ensure efficient and effective risk and compliance management practices by adhering to required standards and processes, Leverage broad knowledge of the big data analytics and marketing technology to understand and engage customers across their journey of interactions with a company, Including decomposition of the business models for analyzing and targeting customer segments to determine opportunities to leverage detailed structured and unstructured data coupled with marketing applications to provide significant business advantage for Teradatas clients, Leading ad-hoc cross-functional teams to define the strategy and requirements that involve the delivery of the technology components associated with the Customer Journey, Analyzing accounts and making recommendations on those with the highest potential for yielding revenue based on an analysis of alignment of issues and challenges, Working with the appropriate sales teams to establish account and opportunity plans. An Analytics Consultant's job revolves around the discovery and examination of data and the representation of the results and conclusions in a way that makes it clear which course of action would benefit the business the best. Progress / Status reporting to project director / project steering group level. Skills Digital media Team player Organized Social Media Traffic Sources Market research Leads proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation, Builds client relationship by understanding client business and propose analytical solution to institutionalize Analytics across Client organizations, Leverage ideas across clients and domains to spot opportunities and generate revenue and engagement, Play a key role in client management, leading and mentoring project teams, and working with the executive team on new initiatives and business development, Possess strong marketing, customer analytics/ logical thinking skills and clarity of thought, Previous customer facing experience, preferably working with technical and business personnel, Self-motivated, ability to work unsupervised, Basic knowledge of HANA Cloud Platform (HCP), Familiar with the generic design of predictive models, At least 2 years of experience in Consulting or similar discipline, At least 2 years of experience with SAP HANA, Advanced Visual Story Telling: Provide interactive visualizations and logical storytelling with correlated data have helped business to make decisions faster & easy on various occasions, 4 to 6 years of experience with Risk management/Fraud/Compliance Analytics, Strong exposure to Statistics Predictive Analytics, Ability to share dashboards, reports, and Analytical insights from data, Hands on and detail-oriented, with a strong ability to coordinate across different Geographies and with different stakeholders at Exec and Director/Sr. Perform descriptive analytics and building compelling predictive and prescriptive models, Aggregate, combine, normalize and cleanse data from a variety of public and proprietary data sources to create internal data sets, Understand complex business/ talent challenges, develop hypotheses, integrate internal and external data sources, analyze them using cutting edge machine learning or statistical modelling techniques to uncover causality and synthesizing insights, Work closely with consultants to identify patterns in HR data, understand leading indicators and lagging indicators and present proof of hypotheses, Build prototype tools to test new concepts and demonstrate potential functionality, Assist in revisions and improvements to existing models. SAS, Matlab, Advanced Excel) is preferred, Provides technical/theoretical expertise to resolve credit risk issues and enhance overall credit risk framework. Recommends changes to business strategies and tactics as appropriate, Creates files that include topics related to the industry, competitors, products, service innovations and trends. Masters degree preferred, Developing digital marketing strategies for our clients including defining the opportunity, creating the business case and developing the requirements to implement the strategy, Analyzing data to determine the most valuable opportunities to improve marketing performance and redesigning digital experiences to deliver this, Proposing, contributing to, and verifying multivariate testing and targeting/personalization strategies in the planning phase of Client projects, To perform the project analysis utilizing Accenture's proprietary software and common commercial analytical applications, To support and participate in client presentations and planning sessions documenting required next steps plus explaining and presenting statistical based project results from optimization activities, Minimum 1 year experience in digital marketing analytics or market research, Ability to work within a multi-functional (analytics/technical/marketing) team on multiple projects, managing timelines and communicating risks/issues, Knowledge of web optimization and/or web analytics tools would be highly regarded, Advanced degree in a quantitative discipline (statistics, mathematics, or physics), 3+ years work experience in analytical services oriented toward risk management in the banking sector, Significant experience with analytic/software (e.g., MATLAB, Python) and SQL databases, Optimize marketing processes and integrate across the enterprise in order to maximize the opportunities of data, analytics and marketing outcomes, Offer our clients end to end solutions and services, Client-facing interaction including providing analyses, recommendations, presentations and advice to clients, Project-based analytics including but not limited to, Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, economics, statistics, and social sciences, Minimum of 3 years delivery experience in advanced modeling environment with strong understanding of statistical concepts and predictive modeling, Has project management, time management and communication skills necessary to execute the responsibilities and deliver against client expectations, Works with clients to provide primary and secondary research within an industry or functional area, Uses advanced statistical techniques to find relationships between variables, Solves organizational problems for the client by analyzing requirements, providing valuable market research linked insights and developing tools and processes to aid decision making, At the Manager level, responsibilities increase including, Excellent understanding of Products Industry/Domain, Working with one of the sub-industries within Products life sciences, retail, consumer packaged goods or health, Deliver data and BI/analytics driven engagements, Minimum of 2 years of experience with consulting or implementing transformational change in the Products industry, Minimum of 3 years of demonstrated experience with written and verbal communication skills including formal and informal presentations, building client relationships and providing excellent client service, Minimum 3 years of hands on experience working on advanced analytics projects involving statistical models, Minimum of 2 years of BI and Analytics sales support experience, Minimum 2 years of experience in requirements gathering and design for BI/analytics, Additional years of experience required for the above skills for Manager level consideration.
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