Ability to manage multiple tasks and meet demands of a fast-paced environment with changing priorities, Bring dozens of siloed data sources into one unified environment, Produce valuable market insights through in-depth analysis, Empower non-technical users to produce valuable market insights, Analyze and map web data about publicly traded companies such as credit and debit card transactions and electronic receipts from millions of consumers, Design methods to obtain valuable information through modern, large-scale technology, Big Data Research- Dig deep into large data sets of structured, semi-structured and unstructured data to identify patterns that will help the team make more informed decisions, Aggregate transaction data from ecommerce marketplaces, Data Mining and Data Manipulation to extract timely and meaningful insights, Use Business Intelligence tools and applications to identify and understand trends, Apply machine learning concepts into investment research as required, Assess data quality, identify data integrity issues, Lead analyst in developing reports for a wide variety of uses across AHCCCS, Manage and supervise 3 to 4 staff analysts in understanding report criteria, developing and testing reports in the AHCCCS Data Warehouse, and delivering reports to the requestors, Develop and keep up-to-date data definitions in the Data Warehouse Data Dictionary, Coordinate on-going training in the data warehouse for data users across the agency, Work with report requestors in developing and refining their reporting needs, Demonstrated experience with health care data analysis, Proficient in data warehouse and business intelligence tools and processes, Demonstrated familiarity with Medicare/Medicaid programs and services, Proficient in developing and executing project work plans, 2 years experience managing and supervising staff, Extensive experience with multiple types of healthcare data (medical, pharmacy, enrollment, etc. Entry-level data analyst vs. senior data analyst resums. SQL, SAS, Python, R) preferred, Self-motivated and organized with the ability to multi-task and work in a fast-paced and often ambiguous environment, Good client engagement skill. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. Alteryx, Tableau, Qlik, RapidMiner, TIBCO Spotfire, Datawatch), 4+ years of Tier 1 or Tier 2 consulting experience, Hire, train, and motivate a technical analytics team responsible for analytical, reporting, and investigatory support for the External Fraud/ORC team of the Corporate Security organization, Develop strategies to proactively investigate complex fraud and organized retail crime cases, Partner with internal and external teams to collaborate on projects and investigations that reduce financial losses, Provide support for investigations and projects, including but not limited to determining general requirements/research criteria, identifying the proper data fields and sources, producing system queries with proper criteria, gathering raw data, applying conditions, performing analysis, rationalizing results, drawing conclusions, making recommendations, and preparing comprehensive and level appropriate reports, Provide investigation/project assistance by obtaining and analyzing supporting records including customer, company and public records. 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. 1-2 Paragraphs for each position you've held in the last five years, focusing on accomplishments, skills gained, and competencies honed. A Data Reporting and Analytics Senior Manager, who will work to provide leadership of the data reporting and analytics team across multiple locations, enabling the transformation of healthcare data into actionable information to inform the business decisions of Healthproof's clients and Healthproof's Operations leaders. 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. Data Manager Senior Resume Sample | MintResume Data Analyst Resume Examples in 2022 - ResumeBuilder.com Employers can contact you ASAP if they want to offer you a job. Proven ability to understand business context and integrate cognitive and advanced analytics levers for solutions Proficiency in statistical and other tools/languages - R, RevR, SAS, Python or similar 7+ years of project management experience Create a Resume in Minutes 15 Analytics Senior Manager resume templates That said, they need to have a strong understanding of data analysis skill sets, so it's important to include relevant skill sets on your resume. Free, fast and easy way find a job of 826.000+ postings in Conway, AR and other big cities in USA. SQL Server Integration Services (SSIS) Database Design. Internal Number: ES01. Proficient in Requirement Analysis, Data Analytics, Predictive Modeling, Big Data, Computer Programming Languages, Strategic Planning, Team coordination and Project Management. Learn more about the E-Verify program ( [ Link removed ] - Click here to apply to Senior Data Analytics Manager . Supply Chain modeling packages is preferred, Development and delivery of executive communication via advanced knowledge of Excel, Access and PowerPoint. Data analysis is the most common skill found on a senior data analyst- resume. Proficiency in any other European Language is desirable but not necessary, Data Scientists will work closely with client engagement managers, solutions architects, business heads and delivery teams within Evalueserve. Jan 2019 - May 20212 years 5 months. 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. Good written and communication skills in English is a must. Job email alerts. Reporting & Analytics Manager Resume Samples | Velvet Jobs My career objective is to . Develop processes and standards to ensure risk data is consistent and accurate, Develop and deliver executive-level presentations to communicate storylines and lead regular management discussions on strategies, tactics, and performance, Perform analysis of project delivery data and highlight opportunities for delivery performance improvement, Work with the Technical Team Manager and the BI Administrator in change management in the data warehouse and in evaluating data quality, Develop managerial reports that provide concise information to leadership to ensure well informed decision are made, Perform analysis and produce meaningful insights and recommendations to improve game design, player acquisition, retention and monetization, Provide on-going thought leadership on the application and usage of Data Science frameworks to accomplish business objectives, Manage periodical business reporting of games, working across multiple teams to identify and present high-level analytics to key-stakeholders and executives, Work in a cross functional and collaborative role spanning product, design, development, QA, marketing, sales and support, Assist with project scoping, proposal writing, and budget development for new services engagements, Produce automated and simplified dashboards and visualizations to help leaders make data driven decisions, Develop and implement databases, data collection systems, data analytics and other strategies that optimise statistical efficiency and quality, Develop standard reports to measure KPIs and work with brand teams to improve them, Manage implementation of Double click and DoubleClick Bid manager, You know how to make presentations that will involve and engage your audience, Knowledge of DoubleClick and DoubleClick bid manager is a plus, Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality, Collaborate with digital managers to select the relevant sources of information (primary or secondary data sources), Design experiments, test hypotheses and build models that improve media efficiency, Demonstrable understanding of data quality risks and ability to carry out necessary quality checks to validate results obtained, Adaptable, able to interact and build strong relationships with people from a diverse range of backgrounds, Solid Experience with reporting tools (Microsoft BI, Business Objects, Tableau, MicroStrategy, etc) is acceptable, Ability to manage several projects simultaneously, delivering high quality of work while under significant deadline pressure, Strong understanding of quantitative research methods, and the ability to work with and understand, complex datasets, Ability to plan/schedule/communicate/manage time sensitive deliverables, High energy self starter with a strong record of achievement and solid analytical skills who has an entrepreneurial hands-on approach to work, Highly organized with the ability to prioritize workload, Excellent oral and written communication skills combined with superior analytical ability are essential, Strong leadership, coupled with excellent verbal, written, and interpersonal communications skills, and presentation skills, Reactive and proactive forensic analysis of structured and unstructured data, Database management software, statistical and predictive machine learning software and link analysis / data visualization software, Data collection and load, data quality assessment, data cleansing and enhancing, complex data transformation, relationship profiling, sampling and extrapolation, segmentation, statistical modelling, segmentation, structured data mining, text mining and analytical matching, Statistical analysis and modelling tools such as SAS, SPSS, Statistical, S-plus or similar packages, data manipulation language such as SQL, Predictive modelling technologies such as SAS Enterprise Miner, KXEN, SPSS Clementine, SQL Server 2005 data mining extensions, Register Machine Learning Genetic Programming engine and/or other similar suites of tools, Data from accounting systems application such as SAP, Oracle / PeopleSoft, JD Edwards, MFG Pro, Extensity, Sage, Coda or other similar ERP applications, Helping 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 and other non compliant activities, Liaising with clients, internal and external auditors, in-house counsel, external legal teams, witnesses, police, criminal prosecutors and regulatory enforcers, Multi-National /cross border or jurisdictional investigations, Mentor one or more Business Intelligence Analysts, delivering pro-active insight in order to drive business strategy and behaviours throughout the Phone Channel, Provide strategic direction to team based on regular needs assessment touch points with business leaders across NA Phone Channel, Ensure team adheres to highly credible methodology in all transformational analytics, and utilizes best in class technology to deliver the highest form of information, Work closely with the business distribution heads to ensure a high degree of trust exists, and two way dialogue continually takes place on the priorities and current challenges within the business, Present business insight to Executives to steer direction of tactical plan on an ongoing basis, Ensure employee experience of team is positive, and capabilities grow to enable continuous improvement, Ensure best in class analytics software is utilized and upgraded regularly to deliver analysis in its most mature form, While the data is "structured", a firm understanding of data manipulation and understanding is required, Highly skilled in the use of statistical programming software including SAS, SQL, Influencing is key in this function both the ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others, The proven ability to build employee capabilities and foster thought leadership via mentorship is critical to success in this role, Strong knowledge/experience of NA Phone Channel operations, including workforce management, This role requires experience in, and demonstrated success of operating in a multi-faceted information environment, Having previously worked with telephony data is a definite asset, Using statistical analysis and data-driven decision making tools to support business and supply chain objectives, Driving value for the adidas Group by providing education on and collaborating with cross-functional departments to influence decisions, and raise awareness of the benefits of analytics, A deep understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data mining techniques, Experience in working with large structured and unstructured data sets; experience working with Hadoop and SAP HANA environment a plus, Experience with SAS, R, Python or other programming languages a plus, Ability to independently execute large research projects with multiple business stakeholders on firm deadlines, An understanding of key topics and literature in marketing science, data science, and applied analytics, At least 4 years in an applied analytics or quantitative research role, Advanced degree (MA or PhD) preferred but not required, Experience with Tableau or similar visualization tool preferred, 8+ years of Financial Services experience, Bachelor's Degree in Accounting, Economics, Engineering, Finance, and/or related field, Strong understanding of industry leading practices within the subject areas and the ability to apply them within the GEC organization, Specific experience in leading a progressive internal audit department's audit group, Strong project management skills, make sound decisions, and exhibit initiative and intuitive thinking, Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or related certification, BA/BS degree with at least 2 years of relevant experience in technology, risk management, and/or audit functions that includes direct relevant experience in data analysis, Knowledge of data analytic techniques that include data harmonization and modeling according to documented objectives, Knowledge of Technology & Operation processes, Knowledge of banking & regulatory systems, 5 years of recent banking technology, risk management, regulatory compliance, and or audit experience with the proven ability to utilize data analysis to evaluate the adequacy and effectiveness of controls, Experience building and/or supporting continuous audit programs, Experience using ACL Analytics Exchange, ACL Server, and/or SAS Metadata Server, Proficiency in visual analytics packages (SpotFire or Tableau), Certification as a Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), ACL Certified Data Analyst (ACDA), and/or SAS Certified Base/Advanced Programmer, Proficiency in Z/OS mainframe including JCL, ISPF, TSO, and RACF, Proficiency in one or more of the major BI Reporting tools such as Business Objects, SQL Server-Reporting Services, Cognos, etc, Proficiency in data extraction and mapping packages (Monarch or Exceros), Proficiency in one or more ETL packages such as Informatica, Act as or support the Project Manager in developing project plans, milestones, estimates, and structure on large engagements, Lead smart grid data analytics projects that cut across the clients organization including groups such as IT, Telecommunications, Customer Operations, Distribution Operations, Network Operations and Marketing, Create diagnostic and predictive models that leverage smart grid data to allow the various business units to improve their operations through better decision making, Demonstrate thought leadership to further define the Energy & Utilities Smart Grid Data Analytics service offerings (methodologies, service offerings, team development) and work collaboratively with WMPs Data Analytics practice, Lead client workshops and presentations covering the life-cycle of a typical consulting engagement (scoping, kick-off, facilitated work sessions, recommendations/findings read-out), Manage and/or participate in a team of software/solution implementation, systems integration, and business consultants, Contribute to the developing and growing Energy & Utilities practice from a culture and thought leadership perspective through-out the country, This position shall be located in either the New York, Chicago or LA office, Mature project management and consulting skills; writing and presentation of business solutions, Business skills: listening, clarifying, asking questions, recommending, proposing ideas and solutions, High energy, positive attitude, excellent client communications skills and the ability to act on own initiative with a strong commitment to client service, Proactively lead data mining initiatives to evaluate the quality of new and existing data attributes in GECC's centralized data warehouse, Partner with Risk and Finance peers to consolidate and validate GE Capital's risk data, Understand GE Capital's risk data infrastructure and data lineage to identify opportunities to simplify & improve the risk data collection & aggregation processes Manage the monitoring and improvement of data quality through support of Data Stakeholders, Lead platform efforts on improving data quality, implementing new requirements, closing data gaps and exceptions and ensuring compliance with GE Capital HQ policies, procedures and data definitions, Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops, Business Units, Data providers, Data Users) to initiate, prioritize, design & deliver high-visibility data quality evaluation projects, Stay current on industry best practices in data governance & lead the implementation of new data mining tools in GE Capital, Graduate degree in a relevant data science or operations research field with strong mathematical and statistical background, Experience in agile data analytics experiments and creation/deployment of models and algorithms to analyze big data, Experience in data engineering, pattern recognition and learning, advanced, Computing, uncertainty modeling, data warehousing, high performance computing, business analytics, Experience with Teradata, Oracle, HADOOP etc, Excellent oral and written communications skills with the ability to prepare clear and confidently present meaningful analysis to senior and executive management level, Aggregate and clean data from multiple different data sources, as well as be able to create summary views of data to be used for leadership reporting, Manage monthly data collection and reporting of team KPIs, Create ad-hoc dashboards utilizing KPI and other data for executive leadership review, Cultivate relationships and partner with various other business groups in order to support the build out of additional Knowledge Management capabilities, Acquire data from primary or secondary data sources and maintain data sets (either in Excel or other tools), 7+ years of experience working within the data analysis area, Advanced Microsoft Excel skill strong working understanding of PivotTables, Power Pivot and intermediate to advanced formulas, Visual Basic experience preferred, but not required, Strong working knowledge regarding other Microsoft applications as well (PowerPoint, Outlook, Word, Access), Working understanding regarding data models, database design and data mining, Superior problem solving and analytical skills, with the ability to succinctly interpret data for executive review, Organized with extreme attention to detail, Self-motivated, and can work with a sense of urgency, Strong relationship management skills, with the ability to partner and consult with various internal business groups, This is an individual contributor position based in Plano, Texas and requires applicants have the legal right to work in the USA, Identifying solutions through independent research efforts, data analysis, collaboration with partners across the organization, and thoughtful interactions with the project team, Understand how to leverage data to drive analytics against existing and new businesses in order to conclude growth drivers and detractors, Developing project plans for multi-year projects; identifying deliverables, business owners, and key deadlines and socializing these plans with the project team, Creating, coordinating, and facilitating presentations for partners, stakeholders, and members of senior management to communicate recommendations and recap the results of strategic initiatives, Collaborating with IT, the User Experience team, Corporate Marketing, and stakeholders throughout the firm to drive strategic initiatives built upon various IT platforms, Creating business requirements, working with developers to ensure all requirements are met, performing user acceptance testing, and providing business sign-off on changes, Designing comprehensive communication plans that outline the training materials, touch points, and internal news outlets that will be leveraged to announce technology enhancements, policy changes, and other important initiatives to the field, Drafting, editing, and publishing training materials and articles to support the implementation of new programs and systems, At least 5+ years post-college experience, ideally in business analysis or data analysis, Highly energetic, motivated, and organized, Relevant experience in consulting or industry with 5+ years of experience, Strong academic record including a degree /MSc/PhD in either: Mathematics / Statistics / Computer Science / Engineering, Ability to communicate technical concepts to business stakeholders, Continuously builds and masters key technical, functional and professional skills, A passion to contribute to the growth of the team, Ability to supervise, coach and develop others, Highly professional with ability to work in challenging, diverse and consistently evolving client environments, Business financial experience would be advantageous, Source needs from the teams and transform them into actionable methodologies and analysis, Work closely with the development team to define business and technical requirements for integrating new tracking into the game, Collaborate with other analytic teams within the corporation, Recruit and manage analysts if required by the projects, Business and Data Analysis & Documentation, Coordinates detailed business requirements phases identifying, tracking and resolving business issues, Evidence based decision making in a business context, Communicating outcomes with all levels with a client organization, Assesses researches, analyzes and documents sponsor/stakeholder needs in accordance with Project Life Cycle deliverables selecting appropriate information gathering and/or modeling techniques to solve problems, Recommends business solutions that satisfy sponsor/stakeholder needs continually exploring and assessing options for value-add for clients, Directs preparation of appropriate documentation and ensures adequate end user training for assigned projects, Develop people by encouraging individuals to think for themselves and take responsibility for their contributions to the team, Conduct timely performance reviews and provide performance feedback/training, led by example, Maintain cooperative relationships with other engagement teams, Monitor the engagement team's progress against the plan and alter it when needed, Understand E &Y and its service lines and actively assess/present ways to apply knowledge and services, Develop long-term relationships and networks both internally and externally; and, Ensures successful completion of project objectives within budget, on time, A bachelor's degree and approximately 5+ years of related work experience; or a graduate degree and approximately 3 years of related work experience, A degree in business, engineering, computer science, or a related discipline; MBA or MS preferred, Integrity within a professional environment; and, Define strategy and plans for data analytics and reporting, Build data infrastructure for analytics and reporting on cloud infrastructure project delivery data, Build dashboards and alerting systems for supply delivery risks and issues, Build automation and workflow systems for supply planning and Datacenter delivery, Set up data and models for demand and supply plan variability, Setup project uncertainty and risk quantification tools, Minimum of five (5) years business experience in the area of BI and data analysis, Knowledge of IT lifecycle and technical background extremely valuable, Knowledge of project and portfolio optimization, Knowledge of statistics and machine learning techniques, Calculate financials (payback period, ROI, savings) for workforce strategy plans, Lead meetings with clients or internal colleagues and manage process improvement or similar initiatives, Manage team resources including work pipeline and key projects.