It appears on 12.7% of resumes. Data research and mining. We use SQL, Redshift, PERL, Ruby and R, A sense of humor and demonstrated ability to have fun, Relevant domain knowledge working with vast data-sets and developing predictive algorithms to solve complex business problems, Ability to mentor team members in data analysts and statistical techniques, Demonstrated experience improving an area of a company's business through the application of business analytics, statistical models, optimization techniques and/ or machine learning, Experience with web analytics, retail and life type value models, Ownership of business intelligence and analytics functions helping drive the safe growth of our dangerous goods programs, Use data to inform business, operations, and development teams on how to safely expand their business models to support the transportation of dangerous goods, Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify, program opportunities, new features, and projects, Prioritize projects based on their relevance and track realized savings and impacts, and communicate results with senior leaders, This is a people manager role that will partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions, Bachelor's degree in economics, computer science, engineering, mathematics, statistics, or similar quantitative field, Advanced analytical and quantitative skills; knowledge of SQL and advanced Excel skills necessary in order to develop hard data and metrics to back up assumptions, make recommendations, and drive actions, Experience with data visualization, reporting, dashboarding, and presentation skills, Minimum five (5) years of experience as an Analyst, building statistical models, Ability to work in a deadline-driven work environment; ability to re-prioritize on a regular basis in order to remain current with business needs, Ability to work independently and as a part of a team, influencing others in a positive and professional manner, 7-10+ years of experience in a business intelligence analyst role with a technology company, Excellent writing and verbal communications ability, Rigorous and attentive program management skills, Demonstrated ability to prioritize autonomously, with a track record of delivering BI and analytics solutions under your own guidance, Experience working in very large data warehouse environments, Masters degree in economics, computer science, engineering, mathematics, statistics, or a related field, Experience with Python, Java, or other programming languages, Knowledge of and ability to apply advanced statistical techniques to solve problems of forecasting and prediction, Leading the strategic management of portfolio segmentation, products, client and channel reporting and analytics to evaluate profitability and business performance, Providing lead generation capabilities and analyses to aid in the enhancement of acquisition, cross-sell, engagement and retention opportunities, Contributing towards the development of a robust analytical infrastructure including but not limited to databases, segmentation and models as well as MIS, Actively engage with key stakeholders, representing Small Business Banking objectives by, Collaborate with Marketing teams, and various other internal or external teams to create new and effective ways to target customers in order to maximize efficiency of all campaign strategies, Developing and maintaining an effective data infrastructure to access Small Business Banking data sources while ensuring capability for segmentation, databases and modelling across various dimensions. Skills : Tableau, Visio, Business Intelligence, Business Objects,. Crafting an Analytics Manager resume that catches the attention of hiring managers is paramount to getting the job, and LiveCareer is here to help you stand out from the competition. Must have combination of superior communication skills (including presentation skills) and Technical skills, Demonstrated track record of leading within complex organizations requiring strong influence management skills - ability to work cooperatively at all levels in matrix environment to build and maintain the positive relationships required to accomplish organizational goals, Proven leader with demonstrated expertise in developing Advanced Analytics requirements and roadmaps to understand and support business stakeholder groups success. Advanced degree preferred. Use these resumes as templates to get help creating the best Senior Consultant resume. This may include the development of related programs for the business line, and managing data warehouse data acquisition, Directs and performs research, design, development, testing, retrieval, and data reporting utilizing knowledge of various software packages, Consults on how to resolve complex analytical and data integrity problems. I am a Data Analytics Manager with 7+ years of experience in leveraging data analytics to develop and deploy end-to-end fraud strategies in multiple detection systems targeting different types of fraud and payment channels/products. a Master's in advanced analytics), You stimulate everyone to think out of the box and come up with innovative ideas yourself, You also have experience in implementing and following up recommendations of your analyses, You have good mastery of English as well as Dutch and French, Drive Revenue reporting with focus on demand/supply related KPIs, Market research with respect to Revenue and Product Management requirements, Competitor analysis and customer surveys to conduct first hand market information, Serve as analytics expert by analyzing data in order to make better business decisions, Develop and implement databases, data collection systems, data analytics and other strategies that optimize business efficiency and quality, Acquire from primary or secondary data sources and maintain databases, Identify, analyze and interpret business trends or patterns in complex data sets, Work with department members and management to prioritize business and information needs, Minimum of a Bachelor Degree in Mathematics, Economics, Computer Science, Information Management or Statistics and 4-6 years experience in a similar capacity, Strong knowledge of and experience with reporting packages (Business Objects, Qlikview etc), databases (SQL, Access), programming (XML, Javascript or ETL frameworks), Knowledge of statistics and experience using statistical packages for anaylzing datasets (Excel, SPSS, SAS etc), Strong analytical skills with the ability to collect, organize, analyse and disseminate significant amounts of information with attention to detail and accuracy, Skilled at working effectively with cross functional teams in a matrix organization, Self-starter with the ability to multi-task and with a proven ability to handle multiple deliverables with tight deadlines, Ability to work independently and as a member of a team, Ability to operate in ambiguous environments, A multicultural, innovative and dynamic environment, The opportunity to learn from people with different backgrounds and interact with international clients working for leading companies in their industries, The chance to prove and apply your leadership, coordination and project management abilities, The opportunity to develop your data analytics skills, Innovative start-up culture with entrepreneurship opportunities for growth and visibility and a competitive salary, Modeling complex business and financial use cases, Discovering insights from data for making sound organizational decisions and identifying opportunities (efficiency, cost, revenue, fraud, risk and safety, compliance, etc.) A/B testing), Demonstrated ability to interpret, analyze and distill large amounts of data and convert them into strategic recommendations and action, Demonstrated ability to work effectively within a highly matrixed organization and collaborative team, The ability to influence outcomes/situations, Bachelors degree in a science or engineering field, or commensurate work experience, Experience standardizing and transforming a variety of data sets to prepare them for analysis and integration into products, Experience integrating datasets using software or utilizing APIs, Expertise with SQL databases -- ideally Vertica, Redshift, and/or Hadoop, Experience identifying and adapting to imperfect data, Superior communications and presentation skills are required, Experience working with business data and relating it to interventions and objectives, Expertise standardizing, transforming, and using statistics to analyze large data sets, Experience with Python, R, or another scripting language, Experience visualizing data and creating reports, Understanding of quantitative and qualitative market research, segmentation methods, and consumer and brand tracking, Adopt and implement the Global Quality Management Plan within the scope of the assignment; this will include, Sound working knowledge of medical terminology, clinical monitoring procedures (SOPs), ICH-GCP, applicable regulatory requirements, quality management processes, Knowledge of National and International Regulations and Drug Development processes, Knowledge of CRO or Pharmaceutical industry operations, Knowledge of Quintiles corporate standards and SOPs, Good organizational, interpersonal and communication skills, Good judgement and decision-making skills, Strong influencing and negotiation skills, Strong computer skills including Microsoft Office and Clinical Trial Management System (CTMS) applications, Demonstrated ability to work in a matrix environment, Ability to travel within the region/country, Ability to lead and motivate a clinical team, Ability to establish and maintain effective working relationships with co-workers, managers and clients/customers, Bachelor's degree in life sciences or equivalent nursing qualification with a minimum of 7 years experience in Clinical Monitoring including at least 2 years experience in a role equivalent to a Clinical Project Manager/Clinical Team Lead preferably within Quintiles; or equivalent combination of education, training and experience, Highly experienced in querying, manipulating, analysing and interpreting data, Proven ability to manage risk and quality on data projects, Proven track record of managing multiple projects at once, A degree in statistics would be well regarded, Lead and deliver voice of the customer insights and solutions to drive digital sales and improve customer experience, Provide strong leadership to a team of data analysts and subject matter experts onshore and offshore, Ensure and prioritize insights delivery in a very fast paced environment, Collaborate with application development leads, senior leaders in IT and business to manage voice of the customer operations from insights to actions, Drive innovative approaches to creating actionable intelligence using a combination of open source tools and best in class technologies in data mining, Manage and inspire team at various levels of experience; must be able to lead by example, Understands (and must have hands-on experience) how to analyze, structure and interpret large volume of raw data into effective visual stories for business owners, Can multi-task and quickly adapt to changing/conflicting priorities, Support of Chat, Telesales and other strategic on-line to offline vendor partners, Support of Shared Cart analysis, Volumes, Profiles, Conversion Rates, Retargeting strategies and testing strategies around Telesales, chat, and On-line, Manage a team of consultants that will work with stakeholders and vendors, Support the Leadership Team on Senior Management engagement and critical business needs, Partner with FSG management team and resources to execute the strategic roadmap for reporting, Define and deliver front and middle office reporting solutions, Evaluate purpose and content of business reports to develop new, or improve existing format, use, and control, Review reports to determine basic characteristics, such as origin and report flow, format, frequency, distribution and purpose, and function of report, Support initiation and use of process improvement analytic methodologies, Confer with persons originating, handling, processing, or receiving reports to identify problems and to gather suggestions for improvements, Evaluate findings, using knowledge of workflow, operating practices, and business requirements, Utilize software to generate metrics and develop actionable recommendations, Recommend establishment of new or modified reporting methods and procedures to improve report content and completeness of information, Prepare and issue instructions concerning generation, completion, and distribution of reports according to new or revised practices, procedures, or policies of reports management, Evaluate reporting output to identify potential data errors and business anomalies, Manage research efforts to identify and correct data source errors, Interface with FSG technology group or other teams for report development, Serve as the single source for data reporting and management for FSG, Support requests for Adhoc reports for stakeholders needs including Audits and Regulatory inquiries and project management execution, Identify performance issues, conduct regular staff reviews, hire new staff, and complete other staffing items as necessary, 10+ years of Financial Industry experience, 5+ years of Financial Industry experience2-5 years experience in Report Design, 3-5 years experience developing relational databases, Experience with MS Access, reporting tools (e.g., Crystal Reporting, Business Objects, Improptu), SQL tools (e.g., Query Analyzer, Toad), Salesforce.com, SAS, Detailed understanding of stakeholders needs, Ability to communicate effectively at all levels of staff and management, Effective organization, control and follow-up of work, Five to ten years of experience in data management and business intelligence in the financial services industry, Thorough knowledge of data science and management, Strong organizational and analytical skills, Working on client engagement managing teams and carrying out both reactive and proactive forensic analysis of large amounts of structured and unstructured data involving a wide range of advanced data analysis technology, database management software, Working with clients, fraud investigators, internal & external auditors, lawyers and regulatory authorities in sometimes sensitive and adversarial situations, Leading small and/or large teams in our specialist forensic technology data analytics lab and on site to help clients leverage knowledge from their data for measurement of fraud risks and losses, prevention, continuous monitoring, detection and investigation of occupational fraud, waste and abuse, financial crime, regulatory breaches and other forms of non-compliant or improper and wasteful activities, Educating clients and fraud examiners on the benefits of forensic data analysis and how it can be applied to their solve business issues, Bachelor's degree in a numerate discipline e.g. ), Data quality, Data mining & Data warehousing, Lead a team of 6 BI Developers (Tableau, Looker, etc), 4 Data Engineers that runs corporate reporting for Marketing Analytics at WalMart.com, Built solutions that require deeper business and technical understanding, Built solutions that are used for Daily, Weekly, Quarterly Business Reviews in Marketing Organization, Worked on consolidating disparate datasets by engaging multiple teams involved in provisioning data, Built dashboards for Omni, CRM, Online Grocery, Next Day Delivery, Back to School ad-campaigns that are used by the leaders of Marketing team at Walmart, Built data pipelines that require massive data processing and managed heavy infrastructures that are scalable and optimized for performance, Architected cloud based (GCP) based BI Engineering Reporting, Master Data Management, Data Collaboration platforms that helped boost Tableau implementation and data governance respectively, Lead and technically guide a team to be able to handle customer interactions and drive development projects and other initiatives in the organization, Worked on deploying Enterprise Tableau Server Infrastructure that was setup for scalability, High Availability, Fail over and Disaster Recovery, Developed a mechanism that helped us perform QA on the Tableau workbooks that are automatically deployed from Development Server to Production Server, Developed a mechanism that helped the business users trust the numbers, corporate metrics, the underlying definitions and calculations by implementing data governance and collaborative data platform, Evaluate and leverage BI Tools based on the use-case. Entry-level data analyst vs. senior data analyst resums. required, Experience leading analytics teams and driving actions and insights across functions, Agency experience optional, but prefer some mix of client side experience, Ability to understand the Dyson brand and uphold its integrity, Strong strategic thinking and influencing skills, Ability to drive projects from concept through implementation and to analyze post-campaign results, Thorough understanding of Dysons channels, Must have excellent project management skills to coordinate both internal and external resource in a cross-functional organization, Advanced knowledge/ proficiency in Microsoft Excel, Word, PowerPoint and Outlook required, Experience working with a major Web analytics and reporting tool, An innovative thinker with Web Marketing expertise and a proven track record, Objective, enthusiastic, committed, flexible, A visionary who is always looking to learn the most cutting-edge methodologies, Attention to detail and accuracy in reporting, Proactive always looking for ways to improve, Personable, ability to work well with a variety of different personality types and skill sets, Bachelors degree; advanced degree preferred, Six or more years of experience leveraging Nielsen and/or Information Resources, Inc information (analysis of volume movement data, household panel and advanced analytics) is required, Proficient in the use and interpretation of Advanced Analytics areas of MMM, PnP, in-market testing and digital measurement, The ability to work effectively and influence all levels of business team management, Excellent written, analytical and communication skills, 8+ years experience in consulting and/or implementing solutions leveraging a combination of customer data analytics, online/interactive marketing, statistical modeling, CRM program implementation, marketing performance measurement, and/or customer strategy, Strong knowledge of analytical methodologies for optimizing and evaluating customer campaigns (i.e., segmentation, predictive response models, etc.) It also involves suggesting solutions for moderate to complex sales/customer opportunities and internal processes, as well as overseeing cross-departmental . Must be able to communicate ideas effectively and concisely to all levels of Management, business partners, and outside contacts, Ability to interpret an extensive variety of technical information in mathematical or diagram form, dealing with abstract and concrete concepts, and translate such into business language, Work with key stakeholders to determine key performance indicators and document custom reporting requirements to meet business requirements, Track and measure key digital, social media and brand metrics to determine channel/campaign performance, Analyze key performance indicators across various dimensions and segments (e.g. List education with related coursework and honors. 1-2 Paragraphs for each position you've held in the last five years, focusing on accomplishments, skills gained, and competencies honed. Janssen, Pharmaceutical Companies of Johnson & Johnson. ), Exposure to commercial, commercial real estate, credit card, mortgage, retail and/or trading book, Demonstrated understanding of the unique components and behaviors of those portfolios noted above processes, such as loan origination and underwriting; credit policies; portfolio management, allowance for loan and lease losses; loan review and remediation, Effective team management and leadership skills (must have prior experience leading a project team), Experience within the commercial banking division of a universal bank, wholesale bank or rating agency, Data management experience (e.g., extracting, aggregating and structuring large volumes of data, etc.) Job email alerts. Resumes, and other information uploaded or provided by the user, are considered User Content governed by our, JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY, Amerisourcebergen Corporation - Corporate, com - sr manager, advanced data analytics, global head, data sciences and advanced analytics, pharma it, senior manager, advanced analytics & business optimization, Data-driven decision-making & Business Intelligence (Tableau, Looker, etc. Data Analyst Resume example Complete guide Create a Perfect Resume in 5 minutes using our Resume Examples & Templates. Mastery of analytics and reporting tools to provide insights in product design, flows and user experiences using data-driven philosophy. Even better if you have your Master's degree, Six or more years of industry experience with strong competency in supply chain management across multiple disciplines, Strong analytical and technical skills, as well as excellent verbal and written communication skills, Strong familiarity with systems development, Business Intelligence, ERP systems, Supply Chain Planning Systems. The Senior Data Analyst develops business solutions through the constant modification of the existing business intelligence solutions. Data Mining Statistics Microsoft SQL Server Extract, Transform, Load (ETL) Machine Learning Business Analysis SAS SQL Data Analysis Data Modeling Match Your Resume To These Skills Skills Word Cloud For Senior Data Analyst Resumes Responsible for performance management, compensation decisions, rewarding and recognizing employees, and providing on-going, regular performance feedback, Provides an advanced level of technical analytical and systems expertise and serves as a coach to analytical direct reports, Identifies professional development opportunities for staff and manages the departmental technical and data systems knowledge base, Based on agreements with clients and leadership, sets overall project analytical support direction to address key objectives and client needs. mainframe, client/server, Web services, Windows, UNIX, AS400, DB2, etc. marketing channels, audiences, devices, geographies, business lines, etc.) Buzzwords often derive from technical terms yet often have much of the original technical meaning removed through fashionable use, being simply used to impress others. Create a Resume in Minutes with Professional Resume Templates, Natural Resources Analytics Senior Manager, Citi Global Costing & Analytics Senior Manager. This is a real resume for a Senior Manager in PELHAM, New York with experience working for such companies as Deloitte, Pricewaterhousecoopers Llp, Canada Customs Revenue Agency. Excel (expert level) Experience in visualizing data. As this position continues to grow in popularity, it is becoming a more competitive field.As such, having a strong data analyst resume can help you secure an interview. Highly accomplished in leveraging data to improve processes, systems and procedures for maximum business success. $102,300 - $159,500 a year. Highly accomplished in leveraging data to improve processes, systems and procedures for maximum business success. SAP, databases, statistical programs and business data systems), Apart from that, you have a superior understanding of internal and external data needs in business processes and a consultancy mindset, You have excellent communication and presentation skills in English and German and work on a focused and results-oriented basis, Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for the client, Lead client analytics projects and oversee data ingestion, validation, mining, and engineering work streams, as well as modeling, visualization, and client communication deliverables with teams comprising data science, big data, and visualization experts, Track, communicate, and manage project risks, budget, rates, profitability, and launch/closeout activities, including the administration of work papers and collaboration sites, Proactively broaden and deepen client relationships by working with senior-level clients, Minimum of eight years of data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment, Bachelors degree in a technical or quantitative field from an accredited college or university (masters or MBA degree preferred) with working knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing, Demonstrated analytics solution design and build expertise, project and team management skills, strong business consulting acumen in applying advanced analytics to solve business issues, and knowledge of business operational, process, delivery, and revenue models, Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business audiences potentially including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources; ability to travel up to 80%, Demonstrated experience designing and delivering solutions utilizing the Cortana Intelligence Suite of analytics services part of Microsoft Azure including HDInsight, Azure Data Lake, Undergraduate degree in an analytically oriented major, such as economics, statistics, mathematics or an applied social science, or equivalent combination of training and experience.
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data analytics senior manager resume