data analytics senior manager resume

), Visual Analytics tools (e.g. 1-2 Paragraphs for each position you've held in the last five years, focusing on accomplishments, skills gained, and competencies honed. Bringing superior skills in planning, negotiation and complex problem-solving gained over 15 years of leading data analysis and software development teams. Ability to synthesize and present data in Tableau or comparable tool, Higher education, university degree or equivalent, At least 5-8 years experience working in analytics or similar role, Demonstrated experience in leading a team, 1) Provide insights and analysis that will identify origination and operational areas of opportunity and trends by, Identifying key performance metrics for different units within ACE, Optimizing staffing allocation within all ACE units to meet seasonal volume, Optimizing Deal Support staffing and scheduling to efficiently handle call volume while minimizing wait times, Leverage internal and external industry data, preparing for headwinds as required, 2) Executive performance management reporting, Develop regular reporting to track SLA adherence, Develop monthly reporting that tracks key performance indicators of the Adjudication Centre of Excellence, ensuring completeness, accuracy, timeliness, and integrity of information, Manage inquiries related to Senior Executive reporting, ensuring a timely and high-quality response, Continuously identify enhancements to existing performance management reporting to better support strategic objectives, 3) Closely monitor performance of origination from ACE by, Develop and automate monthly reporting that tracks performance and recommend changes to performance metrics, Generating actionable insights to improve originations performance, 4) Support the development of both risk and financial frameworks to assess that the portfolio performs within the Banks risk appetite, 5) Apply analytical tools to validate hypothesis on business opportunities or challenges, 6) Support Operations, Budgeting, Premises/Equipment, Business Continuity Planning, 5+ years working experience, with a proven track record using SAS, SQL, R, Hive to conduct data analysis and generate business insights, Excellent financial analysis skills with a solid grasp of profitability drivers and performance measurement tools/criteria with a focus on credit origination, Skilled in report design and automation to add business value, Strong influencing skills with excellent interpersonal and negotiation skills in order to build consensus and obtain co-operation across departments, Lead a team of Business Insights & Analytics professionals and day-to-day execution of analytic activities and processes, Partner with various stakeholders/partners (eg. PwC Professional skills and responsibilities for this management level include but are not limited to: + Encourage everyone to have a voice and invite opinion from all, including quieter members of the team . You can see exactly how to format yours in our data analytics manager resume sample. Identifies, evaluates and recommends alternatives to business solutions. to understand priorities on data/report delivery, Map deliverables to available capacity and publish weekly schedules, Be the point-person for all day to day operational delivery from the DA team, Maintain and schedule standard reporting deliverables (monthly, quarterly, annual), Provide guidance and support to staff on reports requirements, help co-ordinate and facilitate discussions with business users on specific deliverables, Communicate with our health plan partners as needed under the guidance of the Program Directors, Work with vendors as needed for procuring contractors and then managing their deliverables, Help develop Beacon domain and systems expertise on the team to be able to operate more efficiently as well as be better advisors to our business users, Lead the development and implementation of QA processes, Lead the development of BI architecture, standards and documentation for ad-hoc and production services, Lead the development of process improvements to help scale operations to support growth, 4+ years of managing projects in a business intelligence environment, 4+ years of Microsoft SQL Server Development using T-SQL, 2-3 years of hands-on BI Reports development (Cognos/Business Objects/OBIEE/Microstrategy), Must have knowledge of data warehousing, relational databases design and tuning, Proficient in report documentation and auditing procedures, Must be detail oriented and self-starting and statistical savvy, Excellent communication (oral and written) and interpersonal skills, Ability to handle multiple priorities and meet aggressive deadlines, Education: A Bachelor's Degree in Supply Chain, Operations Research, Economics or related field or equivalent work experience. Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services. Knowledge and experience implementing Lean principles, Attention to detail, data accuracy and quality of output, Strong leadership abilities and documented management success record, Experience with engaging and influencing large teams and functional leaders, Deliver concise, compelling, data & insight driven business recommendations to senior leaders on where and how modified business decisions could lead to improved business performance, Understand root causes of changes in metrics, Influence teams through presentation of data-based recommendations, Communicate state of business, experiment results, etc to teams, Partner with IT, Personalization, GTM and Optimization teams to solve problems and identify trends and opportunities, Inform, influence and drive personalization decisions and product launches, Partner with technical and non-technical resources across the business to promote the efficient execution of projects, Support the VP and Director on Senior Management engagement and critical business needs, A Bachelors degree in Marketing, Business or other related fields with emphasis in quantitative methods or equivalent experience, Six or more years of relevant experience in analytics, measurements, business intelligence, or media research, Experience with SQL, Tableau, data visualization tools and SiteCatalyst required, Experience with Teradata, Experian data, Astor, and testing tools (Monetate, Test & Target), Ensighten. 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. The estimated total pay for a Senior Manager, Data Analytics is $173,043 per year in the United States area, with an average salary of $126,316 per year. Its actually very simple. This makes them easy to find and understand.If you have a lot of certifications, it may be better to create an original section for them. Salary range reflected is an estimate of base pay and is for the primary location. 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. Excel (expert level) Experience in visualizing data. 30%, Lead and oversee the team in the development and maintenance of key web, business and marketing KPIs, definitions and operational processes to support Finance, Sales, Marketing, Product, and Service for the Internet Channel. Base pay range may vary if an offer is made for work in a different location. SQL Server Analysis Services (SSAS) C#. When listing skills on your senior manager, analytics resume, remember always to be honest about your level of ability. Many factors go into creating a strong resume. Business process is the most common skill found on a business & data analyst resume. She's great at aligning the way she communicates - whether in a formal presentation or a 1 on 1 - to her audience. Including these as resume skills is vital to getting your resume in front of hiring managers. The Senior Data Analyst develops business solutions through the constant modification of the existing business intelligence solutions. Utilize Visualization tools such as Tableau, Provide on-going analytical support related to web marketing, Provide reporting on KPI measures for web sub-channels (SEM, SEO, banner, display, online partner, etc.) Bridging Technology and Strategy to Advance Business Performance - zyla.paul0416@gmail.com. Phoenix, AZ. Verified employers. 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. Some positions should have more or less to make the information even stronger. Create a Resume in Minutes with Professional Resume Templates. Companies Worked For: Esurance Inc, AAPCHO, Delta Dental of California. ), SAS or Matlab. Data Analyst Resume Skills and Keywords. My career objective is to . 3-5 years in telecommunications or wireless industry is also a plus, Transfer innovative solutions from a piloting phase into an ongoing service delivery and improve operational excellence, Initiate and Develop the customization of business & data analytics solutions and liaise within the Global Business Analytics team and the global BASF community, Mentor and Coach other team members and support their functions by providing expertise and insights into BASFs organization and projects, Liaise with internal business and corporate units and translate their analytical needs into projects, 5+ years of experience in business and data analytics in an industrial context, International working experience and proven track record in working within diverse teams, Superior understanding of internal and external data needs in business processes, As a senior data analyst you will be responsible for all steps of an analytics assignment, from data & business value exploration, data structuring, modeling, problem solving and recommendation, You will develop & implement methodologies to assist feature leaders and test engineers in setting the right requirements and improving test methods, Analytical and statistical skills: Recognizing patterns in data, information, or events, drawing logical conclusions, and making recommendations of the most suitable models and statistical approaches, Knowledge in developing statistical models to describe and evaluate vehicle usage in automotive applications, Creativity & Innovation: Reframing traditional patterns of thinking and applying new and evolving ideas, methods, designs and technologies. Use recruiter-approved bullet points. It appears on 14.1% of . Senior Data Scientist / Analytics Manager Resume Hire Now SUMMARY Confidential Certified Professional with 11 years of Information Technology experience. These professionals are busy and use applicant tracking systems (ATS) to help filter out candidates . "Neamah combines deep curiosity, lots analytical and communication skills, and an entrepreneurial mindset. Data Analytics Manager Resume - Department contact information is important on a Data Analytics Manager resume. SQL Server Integration Services (SSIS) Database Design. Full-time, temporary, and part-time jobs. List of Typical Responsibilities For a Data Analytics Manager Resume: Completes and submits reports and analyses to management with timely, accurate, and complete information. You build your career by managing projects and developing our services in a fast changing environment. Note: Project underway to develop and implement a Datamart / BI tool, Work with clients to understand their deployment strategy and make recommendations to improve returns, Prepare as well as oversee the preparation of reports for senior management, Build analytic models supporting cost transparency projects or used for testing assumptions / performing sensitivity analysis, Work with Transition Managers & Customer Relationship Managers to develop and price out multi-year pipelines for different clients, Support ad-hoc projects for senior management, Excellent analytic, problem solving & interpersonal skills, Strong quantitative skills - ability to build and evaluate mathematical models, Project management skills - ability to manage multiple small to medium sized projects simultaneously, Accuracy, excellent attention to detail, good organization skills are vital, Very good communication skills and presentation skills, Ability to crystallize ideas into actionable items, Good understanding of basic research techniques to understand and solve problems, Solid knowledge of Microsoft Office suite, and/or other relevant applications - must be an advanced Excel user, Familiarity with common reporting platforms or BI tools, Ability to work with all levels of management, Manages the enhancement of the business line's data analytics strategy. and pursuit (such as knowledge of deal life-cycle, business perspective, work estimates, pricing), Lead a solution team across countries, regions, business units, etc., including third parties, Develop thought capital on AI and emerging techniques in similar areas, Deliver on various analytics-based consulting assignments as part of one team in a globally distributed staffing mode, 7-15+ years of experience in areas of data science and AI - text mining, natural language processing, machine learning, neural networks, etc, Experience with leading AI and intelligent systems plaforms decision making systems, machine learning systems, 3+ years experience with Big Data technologies such as Hadoop, Cloudera, NoSQL, Cassandra, Pig, etc, Enthusiasm in executing the end-to-end sales cycle while performing work within an account, Enthusiasm in supporting peers in designing and authoring proposals and RFPs, Confident and articulate in discussions with C-Level audience, PhD or Masters Degree in quantitative field relevant for Artificial Intelligence (Statistics, Mathematics, Computer science, or related scientific disciples), Strategic Agility: Is able to grasp key issues quickly, understand the big picture and link market insights to business issues; uses rigorous logic and methods to solve difficult problems with effective solutions; can see hidden problems - looks beyond the obvious and doesn't stop at the first answers; uses creativity and ingenuity to develop solutions to complex problems, formulate strategies and approaches which may fall outside historical norms, Technical and Business Expertise: Is knowledgeable about one or more of biosimilar issues, access and reimbursement (payer, provider and patient perspectives) issues, healthcare policy, and broader industry trends, and willing and able to quickly learn the rest. Data Analyst. - Instantly download in PDF format or share a custom link. through the use of statistical, algorithmic, mining and visualization techniques, Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes (including Machine Data, Social Media, Text, Voice and Video, Geospatial data, Etc. PL/SQL. * ZR -GD -IN -PT #LI-Hybrid. Numbers, percentages and dollar amounts should be used extensively on the resume of a senior business intelligence manager. 8. - Instantly download in PDF format or share a custom link. List of Jobs. Microsoft SQL Server Integration Services, Talend) and their usage with variety of source system platforms, BI and reporting tools (e.g. ), Exposure to retail, commercial and/or Capital Market portfolios, including: commercial lending, asset-based lending, treasury services and investment banking OR capital markets, insurance, wholesale/retail lending, deposits, etc, Risk regulatory trends in Canada, principles and practices (e.g., OSFI guidance on stress testing, capital management (MCT), ORSA etc. Leads and develops analytical resources to meet client needs and achieve programmatic and organizational objectives, Responsible for selecting, developing, and deploying analytical staff in the most effective manner to meet assigned objectives. Work history. Remote in Irving, TX 75063. Ability to break down, sort and synthesize information, identify key messages and central themes, form accurate conclusions about the meaning of information, display through clear charts and graphics, and develop appropriate action steps and recommendations, Ability to present complex ideas, analyses and information to a variety of audiences, in written and presentation format, and to explain complex or technical information using plain talk principles, Demonstrated ability to provide reliable, professionally sound, scientifically valid advice and consultation to executive leadership to help inform strategic and tactical program, policy, and budget level decisions, Demonstrated ability to build relationships in a collaborative setting including ability to communicate clearly and effectively within a team and across an organization. Juggled multiple projects and tasks to ensure high quality and timely delivery. Data research and mining. $102,300 - $159,500 a year. To unlock your profile and take advantage of all features on CareerBuilder.com, you need first to upload or build a resume . ), statistics (correlations, sample sizing, etc. Utilized BI tools to design and deploy customer interfaces. If you only have a couple certifications, consider including them in the skills section. Apply on company website View All Manager Resumes Customize this Resume Related Skills Planning and Coordination Interpersonal Communication Written Communication Good Telephone Etiquette Some "buzzwords" retain their true technical meaning when used in . Address business issues in this regard, To back up line manager whenever necessary, Jointly lead working sessions with business and functional managers to understand business strategy, structure and - profitability drivers, A proven track record with 8 years or more of relevant work experience and demonstrated career progression/increase in responsibilities, Business analysis experience, including knowledge of managerial accounting principles will be an advantage, Understanding of Activity Based Costing (ABC) principles, methodologies, practices and applications will be a plus, Provide insight and presentations to senior leadership on market position, Function as the key point of contact between service delivery and deal pursuit - possess strong enough cross-functional knowledge to represent service delivery related functions (such as transition management, delivery management, solution conceptualization, quality, etc.) It's actually very simple. Conducted BI Learning & Engagement sessions. Manages multiple concurrent tasks for themselves and their assigned staff to completion, Identifies business, technology, and process improvement opportunities and recommends potential solutions, Establishes and serves as Business Line's "analytic review" function to ensure the uniformity and quality of analytical tools, and to ensure reports are delivered consistently to business partners, Ability to define, extract, create queries and analyze data based on a fundamental understanding of process, control and risk in support of the department's data analytics strategy and business partners needs, Strong expertise utilizing advanced functions in Spreadsheet (Excel), database (Oracle) and data extraction (query) software (TOAD or similar), Strong written and interpersonal communication skills. 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. Data analysts need to have an in-depth understanding of many different programming languages and applications. Entry-level data analyst vs. senior data analyst resums. Led cross-functional teams to define and implement a global analytics . 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.) Prioritized and organized tasks to efficiently accomplish service goals. 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. ), Work with data warehousing team to design optimal data architecture for BI tools, Work as a client contact for analytics, partnering with various departments to identify priority dashboards and reports to better serve the company, Design and build dashboards and automated reports with embedded visualizations, 4+ years of related Data Analytics experience, Proven track record of identifying and highlighting key insights, signals, and trends deep within the underlying data, Well-rounded individual with the ability to write code to query and transform both unstructured and structured data, Experience publishing reports using visualization and presentation tools, Should enjoy generating actionable insights by mining and modeling data and be passionate about answering challenging questions and telling stories with data and visualizations, Self-motivated, attentive to detail, and driven to continuously improve analytics skill set, SQL, SAS, Python, Big Query, Google Analytics, Excel, and Tableau, Bachelor degree in Mathematics, Statistics, Econometrics, Actuarial Science or related quantitative discipline, Lead the design and implementation of complex digital analytics requirements with a strong understanding of how to develop analysis around business goals, Responsible for driving Digital Ops in accomplishing its objectives of revenue stimulation, subscriber growth, profitability enhancement and churn reduction, Oversee the design and delivery of reports and insights that analyze program success in areas like subscriber growth, churn, campaign effectiveness, and funnel performance, Support the team in the development and maintenance of key web, business and marketing KPIs, definitions, and operational processes in order to support Finance, Sales, Marketing, Product, and Service for the Internet Channel, Maintain data integrity by ensuring all tags are correctly implemented, Requires a BA/BS in business or equivalent experience, Four or more years of related auditing, accounting, information technology and or finance experience, MBA, Masters, CISSP, PMP, CPA, CEH and or CFE designation preferred, Experience in using and managing forensic technologies, including computer forensics and data analysis and mining tools preferred, Strong understanding of risk management methodology and factors, Strong business analytical skills a must; ability to apply business logic to design and implement risk models and standard reporting, Demonstrated ability to lead a team in a fast changing environment with changing priorities and changing time constraints across all of the Verizon business units, Excellent communication and negotiation skills, Minimum three years of relevant data management consulting or industry experience, Implementation experience and deep knowledge in any of the following areas - Master Data Management, Data Governance, Data Quality, Data Architecture, Data Security, Experience with being part of and leading complex data management engagements including all phases of the project life cycle from scoping and planning, requirements gathering, design, development, testing, and go live and maintenance, Experience in working with data management related technologies preferably with Data Architecture, Data Integration, Data Quality, Master / Metadata management related technologies, Ability to take complex solutions and make them simple to explain and digest, Excellent stakeholder management, communication (facilitation, negotiation) and influencing skills, 6+ years of relevant experience in reporting & data analytics, 6+ years of experience w/Advanced Teradata SQL skills, Experience with multiple reporting/analytics tools such as SAP BW, Oracle, Tableau etc, Ability to create solutions that minimize manual processes without sacrificing user flexibility, Advanced knowledge of Microsoft Office applications (Excel, PowerPoint, Word), Strong problem-solving, critical thinking and decision-making skills, Must be able to plan and manage multiple processes and ad hoc projects simultaneously, Effectively prioritize tasks and meet customer requirements for timeliness and accuracy, Ability to work independently and own end to end responsibilities for project execution, Ability to manage and work with both technical and non-technical team members, Proven ability at engaging and influencing functional leaders and stakeholders, Applies demonstrated knowledge of how ARS businesses function and what it takes to for ARS to be successful, Interprets and draws conclusions from business data, demonstrating an understanding of overall business needs and desires that apply to a project or effort, Servers as a subject matter expert in assigned domain and effectively work with internal ARS business units, Partners and providers to deliver the Reports, Metrics, Insights, and self-service capabilities, Collaborate with ARS business users and analyze and manage business performance metrics including Actual Time of Arrival (ATA), Estimated Time of Arrival (ETA), Average Handle Time (AHT), Severity, First Call Acceptance, Call Center performance, partner reporting, marketing channel effectiveness, sales analysis, customer experience, and processing the claims, Perform an enablement role to facilitate Business Intelligence Developers and Data Scientists and in locating, understanding and selecting the appropriate ARS data and delivering the Reports, Metrics, Insights, Self-Service, and Models, Translate business requirements and unstructured business issues into data analytic problems, Maintain deep business domain expertise in the use of data sources and applications to conduct research and gather the business data & analytical requirements, research data, and perform data preparation, Define, create, and maintain business Metadata, data mapping, and data lineage, Bachelors or Masters/MBA in a field such as Math, Business, Computer Science or Data Architecture, Excellent SQL skills, comfortable using a data access tool such as Toad, and Oracle PL/SQL Ability to interact effectively, and coach others on interacting effectively, with internal or external customers and act with empathy, Experience with BI tool such as Business Objects and Tableau, Hands-on development of rich and complex information dashboards, reports and visualizations using Tableau, Experience using SAS, R, SPSS or other programming language, Provides highly advanced individual decision making within authority limits, Works within highly complex assignments requiring specialized knowledge in breadth and/or depth in area of expertise, Effectively communicate technical analyses and results to analytics leaders, Deliver data analytics projects, which aims to identify drivers of growth and profitability of a global insurance portfolio, Engage with a wide range of clients to address business needs, Manage a team of analysts to achieve business goals in a timely manner, Knowledge in data extraction, data manipulation, and data processing languages (e.g.

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