Assess development needs and manage process to achieve desired future state, Provide insight and recommendations to the business on data driven customer contact programs, using multiple data sources and analytical techniques, Support Delivery of campaigns, leads and triggers across Personal and Business Banks and Wealth, Deliver enhancements to existing leads and campaigns to support ongoing Marketing and Business strategic goals, Assessment and clarification of business requirements to advise on solutions and scope do-ability and deliver campaigns, Collaboration across Marketing analytics and strategy teams and Product areas, to optimise and deliver to customer contact requirements, Evaluation, implementation and realization of benefits from external services and new and emerging data sources and technologies, translating into new and improved Marketing strategy, Work across Marketing analytical teams to demonstrate the $$ value added to the Enterprise through the development and implementation of campaigns, leads and triggers, Very strong analytical & problem solving skills and experience working with data to extract insights and create meaning, Proven success in building and managing effective stakeholder relationships, The ability to influence and drive business strategy, Exceptional communication and interpersonal skills, Knowledge and experience using programming languages, Knowledge and experience with using SQL and SAS is desirable, Tertiary qualifications in a quantitative/science/business/IT background is preferred, Solution design & Solution defense for integrated Operations Analytics in Manufacturing Execution System, Operations KPI Improvement & Asset Maintenance & Reliability, Delivery excellence including practice building , Training and Skill development , delivery within cost and profit budgets and finally drive client satisfaction index for clients with delivery ownership, Identify/Understand the needs of End users and communicates to the business advantages & value creation for clients, Establishes/maintains relationship with Manufacturing stakeholders, internal solutioning teams and external vendors, Delivery ownership and responsibility to deliver projects in costs and time lines specified in the solution, Industry exposure of 5 years in the above domains in Chemicals & Petroleum , Metals and Mining , Auto and Industrial segments, Previous implementation / Delivery experience on Predictive Analytics , IOT for Manufacturing, MES systems ( Rockwell, Apriso , Honeywell , Schneider etc) , PLC / SCADA systems or Historians , Laboratory Information Management Systems (LIMS) is a must, Consulting assignments with clear KPI Improvement objectives in Operations Management, IOT related solution skills with ability to do digital road map for connected devices in Manufacturing & Supply Chain environment, Data collection, analysis, modelling, requirements & business design inclusive of implementation and monitoring activities, Analyse and model Fees and Margin history and help with forecasting and planning, Develop analytics to exploit value opportunities and optimise portfolio returns, Maintain product management reporting tool (inSight MI Product Management) and use it to track portfolio mix changes and product strategy effectiveness, Coordinate business lending related capital initiatives, including ReCap and eCap, Perform quantitative and qualitative analysis to understand capital performance and support various teams to drive capital efficiency, Review the metrics catalogue and business rules when required, Assist with diagnostic of RMSA Capital BL, Prepare reports, presentations and committee papers when needed, Financial modelling skills (Excel, SAS/R/Matlab), Understanding of NAB's business lending product suite, Understanding of the market environment in which business lending operates, Ability to present complex issues in a clear and straightforward manner, Strong understanding of Basel II / III capital and liquidity requirements, Perform data management, visualization and business analytic research to identify statistical relationships present in large and complex sets of human capital data (demographic data, job and compensation data, career development and performance data, etc.). Objective : As a Analytics Consultant, experience in Participating in strategy discussions and build road map for new innovative IAM Capabilities in collaboration with Enterprise Architecture resources, etc. Relevance. Enjoy creative problem solving and getting exposure on multiple projects, and I would excel in the collaborative environment on which your company prides itself. Supported 4 analysts and 6,000+ stores through the administration of our automated reporting processes. Acted as point of contact and administrator over OFAC, Foreign Bank Cert., and suspicious activity lines for month-end reporting. Will accept experience gained concurrently, Must have demonstrated experience with (1) Implementing business intelligence solutions in data warehouses and providing decision support systems; (2) participating in data governance and ensuring data integrity, quality, and correctness; (3) developing scalable and customizable reporting processes and querying data sources to conduct analysis and detailed data profiling; (4) performing gap analysis during sprints, releases, and upgrades; (5) end-to-end data warehousing and data flow in various environments, including Teradata, Oracle, Big Data, Hadoop and Unix; and (6) experience with Machine learning, quantitative and qualitative analytics, data mining, data modeling, statistical analysis and visualization tools, 2+ years of experience in finance, accounting, or economics with an emphasis in complex problem solving, data analytics, or related competencies, Able to adapt quickly in handling multiple evolving tasks as a result of new engagements and/or re-prioritized deadlines, Able to effectively manage multiple staff and project responsibilities, Able to regularly communicate project/work stream status to both internal and external clients, Able to produce high quality work product under strict deadlines, Proficient in SQL, PL SQL, Oracle, VBA, and / or other technical skills related to data extraction, transformation and loading, Possess a general understanding of financial and accounting principles and / or other quantitative skills, Proficient in analyzing data within relational database systems such as MS Access, MS SQL Server, Familiarity with tools such as Tableau, APEX, .NET, Java, , Python and SharePoint, Advanced Analytics tools (including SPSS Statistics, SPSS Modeler, Watson Analytics), Coding knowledge (including SQL, R, Python), Bachelors degree in Analytics, Statistics, Finance, or closely related program, 2 years professional analytical experience, Lead and work on ad hoc analysis requests for the US Pharma distribution ops business, Engage with the client to understand analysis requirements, coordinate the analysis with the second analyst offshore and communicate the results back to the client, Extract data from Hadoop systems or mainframes or other systems to do quick data analysis. Similar Roles. Responsible for efficiently delivering the project and supervising the implementation team. Proven practitioner of BI process methodologies, Standards, Framework and development guidelines. Successfully display story in Mobile SAC app using Responsive pages. Writing an effective Analytics Consultant resume is an essential part of your job search. Spark and streaming experience is a plus, Knowledge of visualization tools (Tableau, Jupyter, etc. Collected and analyzed data and information across five key dimensions for ERO transportation activities: operational, financial, contractual, organizational, and procedural. Objective : Collaborative, creative insights leader with solid, blended, diverse background spanning field sales to shopper and consumer, analytics. A data analytics consultant salary can vary depending on the firm and the specific role. ), Minimum of 3 years expertise with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage), At least 2 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, Plan and manage own work in collaboration with the team to meet assigned deliverables in a timely manner, Demonstrated teamwork and collaboration in a professional setting; either military or civilian, ResponsibilitiesCollaborate with business users and analyze user requirements, Lead analysis, architecture, design and development of data warehouse and business intelligence MDM solutions, Work independently or as part of a team to design and develop analytics/reporting solutions using SSRS, SSAS, PerformancePoint, PowerView and Excel/Excel Services, Design and develop Integration (ETL, ELT, Data Governance, MDM) processes using MS SQL Server 2012 SSIS, DQS, MDM or other related tools/technologies, QualificationsTechnical Specialization in: SQL Server Analysis Services, SQL Server Reporting Services, SQL Server Integration Services, SQL Server MDM,Informatica MDM, DQS and other related technologies, SharePoint and SharePoint integration with PerformancePoint Services, PowerView and Reporting Services, PowerPivot, Data Warehousing and Data Modeling, specifically building / understanding star schema based data marts, Bachelor's degree in Supply Chain, Operations Research, Industrial Engineering, Statistics, Economics or a related field is required; Masters degree is preferred, 2+ years of experience in developing and implementing analytical models is required, Excellent verbal and written communication skills is required, Proficiency in engaging and influencing large teams and functional leaders is required, Skills and hands-on experience with SQL are required, Knowledge and hands-on experience with statistical software packages (e.g., R, SAS or SPSS) is required, Bachelors Degree in Accounting, Business, Economics or Finance, and 4 years experience in data analysis to support reporting that leads to fact based decision making; OR a technical certification, and 6 years experience in data analysis to support reporting that leads to fact based decision making; OR 8 years experience in data analysis to support reporting that leads to fact based decision making, 2 years in project/portfolio management organizations, Exposure to project portfolio management functions and tools, Accountability around decision support and analysis around program and project delivery, Exposure to Project Delivery, Financial reporting, Demand and Capacity management etc, Skills in consensus building, conflict mgmt., time mgmt., work prioritization, and continuous process improvement, MS Office Suite of products (Excel, PPT, SQL, VB Scripting etc..), Bachelors Degree in Accounting, Business, Economics or Finance, Adaptability/ability to recognize need for and manage change, SQL Server, Access DB skills, stored procs., and visualization tools like Tableau, Must have strong Excel skills around reporting, Experience with MS SQL reporting with SSIS, Experience with Excel and Access Database reporting preferred, Experience with Visio and VB a plusIL - Chicago, Assisting in the gathering and analyzing of client requirements for BI/analytics implementations, Documenting business requirements, dependencies and progress by participating in interviews, use case outlines, workshops etc, Participating in the design and execution of qualitative or quantitative analyses to help clients improve their effectiveness, Presenting and communicating results to Deloitte teams and clients, Understanding the features, functions, and capabilities of software platforms in order to achieve proper business requirements alignment, Analyzing the impact of business requirements changes to the project, Documenting dependencies and changes and tracking, monitoring and reporting on progress and issue resolution, Acting as a liaison between the development team and business stakeholders and facilitating team interaction, Assisting in leadership communication including progress reports, issue resolution and escalation to management including the creation of deliverables to support communications, The successful candidate will have 1-3 years of experience as an client facing analyst for Business Intelligence Platforms or Data Analytics tools (preferred QlikView), Experience in using effective methods to obtain relevant client data for data analysis, Willingness to travel to client locations, Excellent oral and written communication skills, including presentation skills, Client Management: ability to develop professional relationships with peer-level client personnel through regular contact; communicate clearly, Ability to help facilitate client meetings and workshops to define client processes and needs, Experience building dashboards in a tool such as QlikView, Education: Bachelor's degree (BS or BA) is required, Working with Accenture client teams to diagnose problem areas, seek optimization opportunities and contributing to architecting the solution, Bringing deep data manipulation, interrogation and visualization skills to maximize the utility of data insights, with a strong focus on high quality, on time project delivery, Deep technical skills, with a proven ability to pick up and work with Analytics tools such as SAS and Rev R, Leading, mentoring and coaching of co-workers and client teams, A proven track record in the development and implementation of data analytical projects, models and solutions, Familiarity with the application of predictive analytics, cognitive computing and forecasting to real world problems, Proven problem analysis and problem solving skills; Excellent numerical aptitude, Strong interpersonal and presentation skills - ability to convey technology and business value propositions, Ability to work independently, handle multiple tasks, and prioritise based on the requirements of the business, For management candidates, leading and mentoring teams to deliver projects, Life Sciences industry knowledge advantageous, Develop & outline audience testing strategy recommendations as needed to help clients better understand their consumer base, Customer Data familiarity with customer data, personalization, and customer engagement metrics sourced from digital marketing channels, Familiarity with offline data environments (i.e. Client: BAE Systems: Implemented end to end solution for QBR Dashboard using Tableau CRM. 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.) Tested and resolved data issues in SAC Dashboard stories. Ability to lead, guide and work well with others, Organized and able to handle multiple tasks and multiple priorities, Strong interpersonal, presentation, verbal and writing skills to successfully interact with colleagues and executive management, Ability to work under pressure and to cope with deadlines, Fluency in both written and verbal English; German language skills strongly preferred, Masters or similar degree in economics or business administration related studies, Demonstrated experience in building reports in SSRS or a similar tool, Advanced knowledge of Microsoft products such as Excel, Access, PowerPoint, Be able to identify trends, communicate results, and make recommendations that would improve the provider experience, Flexible and ability to adapt to change to support ongoing business needs, Experience in HIPAA X12 transactions; Claims Submission, Claims Status, Eligibility & Benefits and Referrals & Authorization, Knowledge of provider office processes and experience working in the provider space, Development of analytical assets that enable business partners to achieve their goals, Provide a consultative perspective on the data assets available for communicating and managing relationships with our customers, Synthesizing complex datasets into polished, actionable treatments for decision makers, Successful communications are an essential component to great customer experiences. 2. 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