), Minimum 8 years experience with predictive analytics tools, including at least two of the following: R, SAS, Alteryx, Python, Spark, and Tableau, Ability to travel as needed, up to 80% (Monday Thursday), Advanced degree in quantitative discipline (Engineering, Economics, Statistics, Operations Research, Computer Science), Experience with evolving approaches and technologies such as Big Data, Artificial Intelligence, Machine Learning, Cognitive Systems, and Robotics and corresponding contribution to advancing analytics maturity for clients, Collaborating with the Analytics team to automate frequent client requests, Building R apps to create configurable reports in PPT, PDF or HTML, Building interactive dashboards that tie into existing data feeds and databases, Building and maintaining scoring and reporting logic for our flagship assessment engine: KF4D, Collaborating with the Measurement team in scoring and supporting our psychometric assessments, Scoring Forced Choice IRT models; building out new features for these models, Other analytics/psychometric/research tasks as assigned, PhD in Quantitative Psychology, Industrial/Organizational Psychology, Statistics, or related field, 5+ years R coding with experience in automating tasks and graphics, Need to have experience linking R with LaTeX to generate PDFs, Computational Statistics (ability to program optimization/estimation algorithms), The ability to turn published research into working statistical/psychometric software, Able to navigate between MAC OS X and Windows operating systems, Experience in working with data of various structures (JSON; XML; SPSS; SAS; XLSX; CSV; TSV; etc), Experience with deploying and maintaining R sessions on AWS a plus, Experience with querying databases a plus, Experience with Python and Web Development a plus, Experience with git and version control a plus, Analyze off-us credit bureau data to understand customer card usage behavior and making credit line increase recommendations, Consult on opportunities to expand underwriting strategies, Identify experiences that will engage customers with the card and help business partners implement the experience by conducting data research and providing coding logic, Provide inputs to business partners for Quarterly business updates with Sr. This needs to be in line with Sr. management requirements and with sufficient detail to provide in depth analysis to recommend and execute strategies for profit enhancement and actionable activities to support the field with customers (existing and new to bank), Developing over-arching data management strategy for Small Business Banking by working closely with key internal partners and ensuring consistency in data alignment to Small Business Banking's Scorecard. 15 Data Analytics Manager resume templates, Download Data Analytics Manager Resume Sample as Image file, Provide direct, on-the-ground technical assistance to city practitioners implementing data management, performance management, and data analytics programs, Partner with Pricing and Performance Management teams to build and further improve relevant business cases, Develop and manage a team of data quality professionals. This certifications list should appear at the end of your resume. Create a Resume in Minutes with Professional Resume Templates. marketing channels, audiences, devices, geographies, business lines, etc.) Upload or Build a resume to unlock your profile. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. 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. Omni channel and attribution metrics experience is a plus, as is experience with digital advertising metrics. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, big data platforms, SQL, etc. QlikView, Perform comprehensive ongoing analysis of sales history, forecast accuracy, inventory & service levels, and other key KPIs in order to identify trends, determine root cause, and develop solutions to improve the overall process & results, Serve in a support capacity to the Executive Leadership Team throughout monthly metrics reporting, Drive continuous improvement & standardization efforts within the Global Commercial Systems team. These would highlight . Data analysts produce reports, detect patterns, collaborate with others and set up and maintain infrastructure to collect data. Understand key business unit operating metrics & drivers in order to measure performance to established metrics, Help develop Avery's Demand Planning process, utilizing strategic and financial planning resources, business intelligence and ad hoc reports for support, Drive system maintenance & overall governance of the global operational metrics, Maintain the global document control database & process, Develop, maintain & enhance the Global Commercial Systems team's social networking Google Site, Collaborate with other functions, including Innovation & Market Development, Sales, Finance, Technology Services, Supply Chain & Customer Service to ensure alignment for global execution across the organization, Perform special projects & ad-hoc reporting as required, Act as a change agent, serving as the process & subject matter expert responsible for driving continuous improvement and support for our global business reporting tools and processes, Bachelor's degree required, with concentration in Business Administration, Supply Chain, Operations Management or Finance preferred, 2-5 years of progressive data analytics experience operating in a performance-driven, results oriented, fast-faced environment, Excellent project and process management skills - Lean Sigma background preferred, 2-5 years of global business planning experience and analysis, High comfort level in manipulating and querying large data sets. Able to manage up and down in the organization. ), statistics, Experience on statistical techniques relevant to market research (e.g., sampling, clustering) highly desirable, Demonstrated ability to straddle between strategy and execution as needed, Expert understanding of how to use marketing tactics to drive sales and loyalty, Successful experience working cross-functionally, Outstanding oral and written communication and interpersonal skills to successfully build long-term relationships with colleagues and business partners, Displays enthusiasm for delivering high impact projects and service to clients, Works effectively across organization boundaries, Able to make trade-offs to deliver effective solutions to business partners in a timely fashion, Demonstrates a highly consultative approach with business partners, Manage a team that will deliver concise, compelling, data & insight driven business recommendations to senior leaders on where and how modified business decisions could lead to improved business performance, Expert level experience with SQL, Tableau, data visualization tools and SiteCatalyst required, Measurement analytics, quantitative business measures (LTV, NPV,ROI, Churn, etc. Information Management, Business Intelligence, Mathematics, Statistics, Engineering or Computer Science, Exposure to all stages of data analytics project lifecycle (identification, extraction, load, transform/shape, analyse, report) both from a design and implementation perspective, Articulate, with excellent oral and written communication skills, Intellectually rigorous, with strong analytical skills and a passion for data, Ability to work accurately to a high level of detail and lead or mentor staff, Designing impactful data visualisations to communicate complex ideas in tools like Tableau, Qlikview or Power BI, Familiarity and hands-on experience with SQL, Python, SAS, Designing conceptual models on retrieving data from enterprise source systems and transforming into analytical solutions that can be run in real-time, Architected and implemented data solutions on premise for clients to solve business issues, Oversee functionality and design for the flexible, scalable, and easy to use data warehouse, Breadth of skills and experience that will make products loved by customers We need someone who can develop a deep understanding of what users need, a deep empathy for users and a clear vision of how the product should evolve, Leverage cross-team collaboration to drive buy-in and agreement on the product, Create functional specification and design requirements for data warehouse and data integration services, Proven expertise at commanding the respect of engineering, sales and marketing departments and being the voice of the product, Decisive and detailed oriented personality, and ready and willing to stand by their decisions, Ability to thrive in the dynamic environment that comes with being part of an innovative startup from its early days. Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services. View All Manager Resumes Customize this Resume Related Skills Planning and Coordination Interpersonal Communication Written Communication Good Telephone Etiquette Worked closely with team members to deliver project requirements, develop solutions and meet deadlines. ), IT application control concepts (e.g. Therefore, you should provide yourself with: Departmental work experience is an important part of a data analytics manager's resume. application processing controls, system reconciliations, matching, workflows, etc. Get similar jobs sent to your email. A buzzword is a word or phrase, new or already existing, that becomes popular for a period of time. Data Analytics Manager Resume Sample 4.7 16 votes The Resume Builder Create a Resume in Minutes with Professional Resume Templates Create a Resume in Minutes Shayne Kiehn 2884 Rolfson Plaza, Houston, TX +1 (555) 178 9734 Work Experience Data Analytics Manager 01/2017 - PRESENT San Francisco, CA Experience with Tableau software is desirable, Demonstrated business savvy with strong communication skills are essential with clients, vendors and management, 5+ years related experience in Analytics and Database Marketing experience is very desirable, Degree or MBA in business/commerce, analytics, finance, computer science or engineering preferred, Previous product area or business line experience highly preferred, Bachelors in Computer Science or related area, At least 6 years of software development, architecture and solution design experience, At least 3 years of experience on Big Data Platform, Strong experience gathering requirements from the client/business and documenting them as functional requirements, Experience in identifying, managing and controlling requirement changes, process improvement, workflow, and/or evaluation of business processes, Effective in handling business user queries, Experience leading projects with responsibilities that include gathering requirements, developing business plans, Proficient with Apache Sqoop based data ingestion, Expertise in configuring and maintaining Oozie workflows, Proficient with Pig scripting, Hive queries, Expertise Python or Java programming and debugging, Expertise in HBase tables design and maintenance, Build instrumentation on big data technologies, Experience in maintaining scalable applications and performance tuning expertise is highly desired, Bachelor's in Computer Science or related area, 6+ years of software development, architecture and solution design experience, 3+ years of experience on Big Data Platform, Expertise Python programming and debugging, The Digital Analytics Team enables and empowers the Digital Channels organization with analytic insight and solutions to support planning, tactical execution and optimization of the customer experience, Additionally, through digital analytics, this role is responsible for guiding tactical execution and identifying new opportunities to drive and grow sales across aa.com and the mobile app, The Optimization team works closely with UX, Product Planning, Merchandising, Loyalty, Revenue Management, and other teams to design, implement, and measure statistical experiments, Through Optimization, this team also provides insights and recommendations based on its finding from these statistical experiments, The right candidate will thrive in a fast paced and rapidly evolving environment, work to drive innovation and continuous improvement for efficiency and sustainable growth, Manage the fire drill nature of the job and respond to immediate needs of the business from release reporting to making business critical decisions and recommendations ensuring data is properly interpreted along the way, 7+ years of experience solving complex business problems with advanced data analytics in highly customer facing digital environment, 3+ years experience in a management role overseeing coordinated delivery of Analytics with a focus on digital and travel, Proven ability to leverage data, quantitative analysis and work with advanced analytics to deliver actionable insights, guide strategic decisions and directly drive business results, Strong experience working with large data sets and web analytical tools (SAS, Adobe Analytics, Mosaic, Hadoop, etc), Significant experience in one or more of the following areas: operation analysis, statistics, planning, marketing, forecasting, sales analysis, E-Commerce, or customer research, Ability to handle multiple responsibilities or projects that have strict deadlines, with minimal amount of supervision or direction, Ability to negotiate project priorities with several internal clients, Drive, design, develop, maintain and set the vision, respective capability and services for the analytics and innovation function, Support the Office of the Chief Data Officer (CDO) in establishing the Analytics Hub, Envisioning, designing & delivering the future state for experimental analytical services, including strategies, Provide thought leadership & ensure adoption of emerging industry advancements in analytics & artificial intelligence; driving competitive advantage, particularly in relation to processing of complex business events; unstructured & semi structured data sets, Build and advocate data-fueled dashboards which enable quick insights that help our cross-functional partners improve outcomes, Partner with customers to identify and support key strategies to drive the brands strategic imperatives, with a strong focus on digital insights, actions & visual analytics, Focused on discovery of the digital insights hidden in vast, disparate amounts of data to help us make smarter decisions in Commercial organization, Ability to perform analysis with an emphasis on presenting results in a clear manner, Provide insight into leading analytical communication practices, and ultimately produce new and creative solutions that will become part of our core deliverables, Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas, Research, design, implement, and validate cutting-edge dashboards to analyze diverse sources of data to achieve targeted outcomes, Provide expertise on Tableau and Dashboard concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization, Primary interface for Digital Marketing, Tableau and other 3rd party analytics dashboard vendors, Bachelors Degree in business, economics, statistics, design, marketing or related quantitative discipline, Minimum of 5 years experience in digital, data driven dashboard designs, Strong sense of teamwork and collaboration skills, Knowledge of Tableau, Excel, Word, and PowerPoint, Possesses high level initiative, ability to multi-task, and is passionate about asking and answering questions in large datasets, Designs advanced visualizations, presentations across predictive and prescriptive analytics, Excellent communication skills (both oral and written), with the ability to communicate across multiple functions and levels, 5+ years experience in visual data design, digital, analysis and deploying the results Pharmaceutical/Biotech/Healthcare experience preferred but not necessary, Improve profitability and drive revenue through creating effective KPIs and optimization of metrics that affect them, Guide the development of key processes by supporting, prioritizing, defining, and gathering needs for the cross-functional projects; convert this data into business narratives for areas of development, Lead analytics on projects of varying sizes and complexity, including report automation, data visualization, tool implementation requirements gathering and documentation, split testing, and ad hoc analysis and data mining, Consult with digital team leaders to identify new tools and opportunities to increase business results, Drive strategy for customer acquisition and customer conversion by developing models, forecasts, and analyses that are based on previous activity and benchmark data, Interpret analytical findings and/or recommend an approach and solution(s) that are relative to the strategic objectives of the project, company, and stakeholder needs, Use advanced analytics techniques on large data sets for the purpose of delivering ad hoc analyses and insights; formulate analytics-enabled solutions in an online advertising environment, Facilitate and perform consistent and reliable data collection, utilizing primary and secondary research methods; perform analysis for testing, targeting, creative and offers, Create post campaign reporting that not only highlights results but also delivers actionable insight, opportunities for optimization, and provides a comprehensive story’, Manage and provide direction to analytics team including development of analytical skills and validation of analysis and results, Motivate, coach, organize, mentor, the data and analytics team members, Collaborate with client and strategy team to identify client analytics opportunities, Lead presentation of business analysis results and recommendations to senior management and key business stakeholders, Provides solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives, Involved in setting strategic direction to establish near term goals for area of responsibility, Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters, Has latitude in decision-making and determining objectives and approaches to critical assignments, Decisions have a lasting impact on area of responsibility with the potential to impact outside area of responsibility, Manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture, Support Go-to-Market activities for the industry value team for Health and Public Service, Minimum of 5 years experience managing asset development and data science teams, Minimum of 8 years recent experience with consulting or implementing transformational change in the healthcare industry, Minimum of 8 years delivery experience in applying advanced modeling techniques in a business environment: strong understanding of statistical concepts and predictive modeling.
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