Online master data analyst
11 Best Online Data Analytics Programs,Quick Search
19 Best Online Master's in Data Analytics Programs for. What Does a Data Analyst Do: Responsibilities, Skills, and Salary. 30 Best Online Master's in Data Science Degree Programs
English — at a proficient level, German — at an intermediate level Work experience: Typically holds 0 -1 years post graduate relevant work experience i.
Collect, review, validate and input of all Master Data requests in compliance with corporate and divisional Policies and Procedures Review and investigate all Master Data queries and issues as raised by the business escalating where necessary to ensure timely resolution and communication Prepare and review monthly performance reports Provide internal and external audit support as required Coordinate with Manager information requirements for all dependant business units as it relates to Master Data Minimum 3 years of relevant experience inclusive of all aspects Master Data management Prior recent experience working in a captive SSC environment preferred Experience with 3rd party outsource providers preferred Strong ability to interact with internal and external parties at various levels Attentive to detail with a propensity for continuous improvement ERP experience required.
Basic; Excel and PowerPoint: Effectively deal with routine data problems and inquiries within their organization Execute data processes in accordance with process and data standards and procedures. Investigate and initiate appropriate corrective action when data quality within in their span of responsibility deteriorates Effectively communicate basic data value propositions for the data which they maintain.
Creative problem-solving aptitude with a vision for the future. Experience maintaining metadata and data for large amounts of complex data environments and ensuring metadata integrity Experience working in an Agile delivery environment Rally, Confluence, SharePoint, Git, etc.
Experience as Subject matter expert for a business glossary or modelling application; providing guidance and training to customers, stakeholders.
This position will manage product Master Data within SAP and the Product Information Management PIM database Building complex spreadsheets to send product data feeds which meet partner specifications Help develop and maintain new processes for the management of rich online product content Analyzing data and generating reports to ensure completeness of master data within Honeywell and our partners Support marketing and eBusiness in launch of new products and line extensions Verify accuracy of online product content Collect and analyze key performance indicators to support process improvements Carry out miscellaneous tasks as assigned by Product Manager Language Skills: Team player; Must have the highest level of professional integrity and honesty as well as personal credibility; Passion for innovation.
Align with, communicate and support the Master Data vision as defined by the Master Data organisation including global harmonisation and a single Master Data process Understand global Master Data policies and procedures and strive to be the process champion ensuring adherence to Master Data processes Develop and deliver training program for SCA business functions and colleagues to ensure appropriate involvement and understanding of Master Data processes Maintenance of Global Master Data tables Monitoring and reviewing Master Data flows ensuring appropriate qualityand accuracy.
Highlighting issues and recommending improvement activities Build long term relationships within the Master Data Domain, developingclose co-operation and communication the Business translating business needs into actions and ensuring strong links to colleagues in the global Master Data Team Respond to enquiries by developing and providing problem solving guidelines and suggested approaches. Work with relevant stakeholders to agree solution and implement Contribute to projects and initiatives, challenging the status quo and identifying new opportunities.
Master Data Analyst will be the one who manually keys in the data collected into the data templates for upload into centralized database Master Data Analyst will work physically with Research and Development team to streamline date collection process Master Data Analyst will work directly with Food Scientist Master Data Analyst will complete data cleansing in source systems based off queries developed by PLM consultants Master Data Analyst will also assist with data collection effort Minimum of an associate degree in life science or related field Power user of Microsoft Office and Adobe software Knowledge of Genesis Nutrition Labeling and Microsoft SharePoint a plus Must be detailed oriented and analytical.
Maintain Vendors and Customers for all regions, including setup of new Vendors and Customers, modifications to existing Vendors and Customers, and disabling inactive Vendors Review entry of customer and vendor data for accuracy, supporting documentation, and proper authorization.
Ensure proper entry of tax classifications and banking information. Review current listing of data quality reports, identify recipient, frequency of reporting Gather information to document the review process performed by the recipients of data quality reports Write criteria and develop new data quality reports Perform data validations Document the process used to identify, prioritize and implement new data quality reports Document the process of validating current data quality reports on a periodic basis Work with the data standards manager to update documentation resulting from findings on data quality audits Communicate progress to leadership team Look for improvement opportunities Very strong communication verbal and written skills Finance or Business Admin Major with Computer Science courses Programming, Database design, etc.
This includes the creation, changes, and deletion of key data used by multiple users for planning and operations execution purposes Key data includes but is not limited to: Setup processes for managing master data Setup processes for loading in batch or manually master data in system Put in place systems for auditing and reporting the quality of master data Perform detailed data validation and accuracy checks Maintain a full audit trail of data changes Find ways to simplify and make the systems more efficient Provide a professional, responsive and helpful service to internal customers Provide problem solving support, advice and guidance to internal customers Make use of data analytics to answer key business questions by providing both qualitative and quantitative analysis on request Previous experience of handling master data, ideally in SAP Organised and methodical.
Streamline existing business processes using LEAN methodology Partner with business teams to understand requirements of new business initiatives Partner with IT to implement system solutions based on requirements Understand data structure, data interfaces and how data flows and transforms from source systems to the downstream systems Provide on-going process and system support during Close and Consolidation and Forecast processes, inclusive of evening and weekend hours when required Ensure DRM is SOX compliant and meets security requirements.
Enterprise mindset years experience in data management or related discipline Access database and advanced Excel experience required. Support the successful data conversion activity to enable both the dry run testing as well as onboarding new territories Develop and execute process, procedures, and programs to facilitate the territory transition data enablement processes.
Preference given to any Information Systems or related Technology degree. Develop and improve processes Previous experience of handling master data in an ERP system, ideally SAP A passion for the discipline of master data management High levels of attention to detail and accuracy Organisational skills and a methodical approach to work A clear appreciation of what constitutes good customer service and a commitment to delivering this A proactive approach to your role; self-starting and solution rather than problem focused High self-motivation and flexibility High personal work standards The ability to deal with high levels of complexity, change and evolving processes, often at short notice The ability to work collaboratively and communicate effectively with key stakeholders both within and outside of the MDM team to get the job done Confidence to push back with customers and stakeholders to protect the integrity of the data management process A thirst to learn about new areas and develop new areas of expertise Advanced skills in Microsoft Excel.
Any one of the following combinations of experience and education from an accredited learning institution Master's degree in Big Data, Data Management, or MBA from an accredited institution Experience in project management, documentation managements, and working with business and IT to drive results Skills includes positive attitude, great communication, organized, self-starter, independent learner and early adapter to change.
Implement HCBG governance standards in support of data deployment and production activities Perform as HCBG backup divisional approver and be responsible for new material creates and material maintenance in legacy and ERP Identification and escalation of material master data risks and issues affecting HCBG Bachelor's degree or higher from an accredited institution Minimum of four 4 years of any combination of the following experience: Provide localized training for plant master data coordinators and other plant employees.
High degree of integrity, humility and professionalism Customer focused and respectful of others Must be able to communicate effectively and tactfully with all levels of personnel, via email, in person and in small group settings Good understanding of business process and relevant master data relationships that exist within the retail industry Must be able to pay close attention to complex detail and understand written and oral instructions Ability to work autonomously — creating and tracking progress in an ambiguous fast paced environment Outstanding planning, organizational, time management, and follow-up skills Must be able to work flexible hours, including possible nights and weekend, when necessary Enjoy working in a fast-paced, team environment.
Ability to create other logic formulas with ease Experience with SharePoint. Respond effectively to the diverse business needs and objectives while ensuring consistency with overall data objectives and company policies Assist the delivery of MDM Governance and maintain Business Data Standards. Word, PowerPoint, Visio, Access, etc. Proficiency with spreadsheet applications and database management Detailed oriented with strong analytical proficiency Excellent Communication and interpersonal skills Strong computer knowledge, skilled and experienced in MS Office applications Excel, Word, Access, PowerPoint, Outlook Knowledge of CPG products, Master Data specifically price and allowance records and their cross functional application Advanced Analytical and Interpretation Skills, including a demonstrated ability to synthesize and interpret data Strong record keeping management Able to work both independently as well as in a team environment.
Ability to analyze, interpret and react to complex issues with critical attention to detail; High organizational and coordination skills are required Management Skills: Decision making, collaboration, problem solving, meeting facilitation, ability to incorporate multiple views customer, marketing, manufacturing, distribution, warehousing, etc.
Develop expertise on data governance and processes Develop expertise in master data set-up includes conditional data such as PIR, Product Costing components, X-Ref, legacy applications etc. Responsible for monitoring work queues for new requests i. Responsible for completing assigned tasks within SLA targets i. Coordination of respective queue or issue resolution, cycle time, leveraging global Master Data Global Operations Support team to meet Service Level Agreements Responsible for facilitation of data collection process and output for SAP.
Perform maintenance of customer master data records in accordance with predetermined SLAs Provide standard analysis of requests and identify requirements of master data Identify and maintain data records in accordance with document retention policies Track and resolve issues causing returned mail Validate and update current data to ensure integrity in master data and reporting Work with business and cross functional teams in obtaining requirements for customer set up and modifications Assist in driving standardization and optimization of customer master maintenance Evaluate various master data inquiries with appropriate research and make recommendations for resolution Participate in medium sized projects providing recommendations for continuous improvement Use excellent verbal and written communication skills to build strong relationships, share recommendations and knowledge to multiple audiences including: Participate in requirement gathering sessions.
Document requirements as directed by more senior analysts Write clear, complete functional specifications for the development team under the direction of the lead. Effectively translate business requirements into high-level design documentation with supervision Utilize past experience and knowledge of sales, service and distribution to recommend appropriate business process solutions to new business requirements Manage own time and deadlines appropriately.
Demonstrate ability to accurately determine task duration and dependencies for own assignments. Communicate status updates to senior analysts or manager on a regular basis Participate in execution, and remediation of test activities e. Demonstrate ability to prioritize assigned issues based on business impact Test the impact to data and systems resulting from projects, enhancements, and production support under the direction of the lead. Analyzes change requests and determines appropriate solutions.
Supports the deployment of production systems and provides post-production support Participate in the completion of project documentation per established Citrix project lifecycle methodology Exposure to relational databases Ability to work directly with business and technical teams Exposure to the importance of data quality Demonstrated initiative and ability to work independently with minimal supervision. Must be a good team player Ability to communicate effectively and present a professional image Strong analytical and problem definition and solving abilities Working knowledge of MS Office applications and other productivity tools Must be responsive and deadline-oriented with a sense of urgency Knowledge of project management methodologies is desirable Ability to develop system test data, scripts, and plans Ability to understand and follow process flow diagrams Knowledge of database schemas, query, and reporting tools is desirable Previous work experience in a corporate or IT environment Solid knowledge of relevant in practice business processes.
Assist project leaders in analyzing; organizing, sorting and preparing data cleanse files i. Risk Data Analyst Resume Sample. Data Integrity Analyst Resume Sample.
Data Analytics Analyst Resume Sample. Digital Data Analyst Resume Sample. Our Certificate in Analytics and Insights is a credit program that helps you understand, create, monitor, and evaluate analytics. Businesses across all industries desperate A perfect blend of Technology, Data Science and business cases and insights, this program stands out as among the best in the world. Learn the skills necessary to begin analyzing data and discover insights, for absolute beginners on up.
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Top 20 Best Online Master's Degrees in Data Analytics for An online master’s in data analytics is a graduate degree program with a strong mathematical and programming focus. This degree is geared towards students with a strong STEM background who have a goal of working as a professional data analyst. An online master’s in business analytics is a graduate degree program with a focus on advanced analytics courses. Students will learn how to transform data and then use that data to help drive business decisions. A business analytics masters appeals to a broader professional background compared to data science or data analytics programs.
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What Does a Data Analyst Do: Responsibilities, Skills, and Salary
Organizations of every size in every industry use data analytics — from small businesses to state departments, nonprofits to global corporations. Airlines use it to improve operational efficiency and the passenger experience. Food manufacturers review production data to reduce waste. Government agencies critically analyze data to solve public health issues. Retail companies incorporate data analysis to forecast inventory needs. Wall Street evaluates historical data to predict the stock market.
You'll also learn how to apply your computational, analytical and modeling skills to provide decision support to key stakeholders. The program also furnishes you with the top skills cited by the LinkedIn study for data analytics jobs, 2 including:.
McKenzie also stresses the need for business soft skills. She points to active listening, communication, collaboration and attention to detail as the most important business skills. Data analysts call on these skills regularly when determining which factors affect organizational growth, such as customers, competitors and workers.
Graduates of the MS in Data Analytics program can pursue a variety of data-focused roles, including these 6 high-growth occupations:. McKenzie notes that organizations in many industries have even created cross-functional analytics teams. In addition to data analysts, these roles include database administrators, data scientists, data architects, database managers and data engineers, as well as their business counterparts.
Founded in , SNHU is a private, nonprofit institution with over , graduates across the country. In addition, many bachelor's degree programs also carry specialized programmatic accreditation. To be regionally accredited , one of 7 regional accreditation organizations recognized by the Council for Higher Education Accreditation CHEA has determined that the university meets its high academic standards and expectations.
Most nonprofit institutions are regionally accredited. In addition, Southern New Hampshire University has been nationally recognized for its efforts to lead the way toward more innovative, affordable and achievable education:.
We're committed to helping students succeed — even when they step outside the classroom. That's why we offer a number of experiential learning opportunities to help you gain the skills you need to succeed in the real world.
Like the completion of a portfolio, which can show employers the tools you've mastered and the problems you've solved. At Southern New Hampshire University, you'll have access to a powerful network of more than , students, alumni and staff that can help support you long after graduation.
Our instructors offer relevant, real-world expertise to help you understand and navigate your industry. Plus, with our growing, nationwide alumni network, you'll have the potential to tap into a number of internship and career opportunities.
Acceptance decisions are made on a rolling basis throughout the year for our 5 graduate terms. Online master's degree candidates must also submit a personal resume.
Students with an undergraduate GPA below 2. Simply contact an admission counselor , who can help you explore financial options , answer all your questions, and walk you through the application process, which includes:. Demand for data analytics-related roles is at an all-time high. If you can measure data using your mathematics skills, lead strong dynamic teams and stay on budget, you'll have an edge in the job market.
Coursework covers all key topics, from data mining, visualization and modeling to the ethical uses of data. Two courses make up the MS in Data Analytics foundation. Students who can demonstrate requisite skills in these areas may waive out of these courses.
Master key concepts and tools in data and information management. Learn skills required for data assessment and validation for creating data structures and data analysis reports. Gain exposure to common data and information management technologies that organizations use for decision support. Develop a foundation of basic statistical literacy. Assess the role of statistics in quantitative research and mixed methodologies and learn the relationship between computation and interpretation.
Conduct real-world analytical research that illustrates the process of interpreting the underlying meaning of data and how to use statistics to address important questions. SNHU provides cloud-based virtual environments in select courses to give you access to the technology you need. Learn more about our virtual environments. Find what you love and do it well.
Tuition rates for SNHU's online degree programs are among the lowest in the nation. A master's in data analytics deepens your expertise in this area of study. It also keeps you current on the latest data methods and analysis techniques. You'll also learn how to apply your analytical skills in the workplace, including how to present your findings and manage data-driven projects.
A master's in data analytics gives you the technical skills and business acumen to take on a variety of data-related roles, including:.
The work of data analysts and related occupations cuts across every industry, from automobile manufacturing to retail. They analyze operations, consumer behavior, health statistics, weather patterns and more.
Data analysts help organizations in the public and private sectors solve problems, improve operational efficiencies, cut costs and increase profits. They are critical to economic growth in every corner of the world. Data analysts play an important role in every modern company, helping to understand the business and advise leadership on ways to move forward. The program is designed to complete within as few as 15 months. However, you have the flexibility to progress through the program at your own pace, based on your work and life obligations.
Foundation coursework explores the fundamentals of statistics and data and information management. The degree may help you qualify for senior-level positions and open more doors. Another tangible benefit of this program is the experiential learning opportunities it offers. Some projects bring students together with employers to solve real-world problems while others help you gain critical job skills.
Opportunities like this are invaluable, because they help bridge the gap between coursework and the hands-on experience employers are looking for. A data scientist will design new methods, models and algorithms to find innovative solutions and predict future patterns.
Both data analysts and data scientists organize, interpret and present data, but data analysts focus on current data sets. Department of Labor, Occupational Outlook Handbook, on the internet, at: May 08 Classes Start: Request Info Apply Now. Master's in Data Analytics Online Program Overview Organizations of every size in every industry use data analytics — from small businesses to state departments, nonprofits to global corporations.
Evaluate data sources to verify data using the data analytics lifecycle Compile and interpret big data to design more effective business systems Use data to make predictions, assess risk and solve problems Report data findings and present solutions to key stakeholders Be a strategic asset to organizations in a wide range of industries.
The program also furnishes you with the top skills cited by the LinkedIn study for data analytics jobs, 2 including: Analytical skills to evaluate, model and interpret data Problem-solving skills to make predictions, assess risk and solve problems Decision-making skills to think critically and identify solutions Technical skills including software and scripting languages to interpret and present data McKenzie also stresses the need for business soft skills.
Graduates of the MS in Data Analytics program can pursue a variety of data-focused roles, including these 6 high-growth occupations: Data analysts analyze data and apply mathematical and statistical techniques to help solve real-world problems across every industry. The role requires advanced mathematics skills and, in fact, the BLS classifies data analysts under mathematicians and statisticians.
According to the BLS, they are involved in all aspects of an organization, from resource allocation and production schedules to managing the supply chain and setting prices. Education Government Healthcare Manufacturing Professional, scientific and technical services McKenzie notes that organizations in many industries have even created cross-functional analytics teams. Respected Founded in , SNHU is a private, nonprofit institution with over , graduates across the country.
In addition, Southern New Hampshire University has been nationally recognized for its efforts to lead the way toward more innovative, affordable and achievable education: Network At Southern New Hampshire University, you'll have access to a powerful network of more than , students, alumni and staff that can help support you long after graduation.
Opportunities to prepare you for your career Technology Conferences: As a university dedicated to leveling the field for all learners, we recognize the power in making connections — particularly in STEM fields. That's why you'll find our students and alumni at major networking events like the Grace Hopper Celebration and the Teradata University analytics challenge.
Because we believe that, no matter where you're from or hope to go, you deserve a seat at the table. To apply, use the online application. Simply contact an admission counselor , who can help you explore financial options , answer all your questions, and walk you through the application process, which includes: Completing a graduate application Providing undergraduate transcripts. Data and Information Management Master key concepts and tools in data and information management.
Foundations in Statistics Develop a foundation of basic statistical literacy. Earn credits for work and life experience: Did you know certain work and life experience - like industry-recognized certifications, law enforcement training and math knowledge - could save you time and money at SNHU?
Learn how you could get credit for work or life experience. While this may be a very empowering prospect, it can also be overwhelming. In this course, students will examine the status of Big Data and its impact on the business world, framing analytics challenges using a structured life cycle approach to data analytics problems. Emphasis will be placed upon the verification of data, analytic techniques and open source tools for analyzing data, the role of regulatory organizations, and the privacy and ethics issues that surround its use.
DAT Enterprise Data Management Understanding the complexity of current data management systems and the ever evolving technology necessary to leverage such data is essential in making sound data-driven decisions.
In this course, students will examine the issues in managing data and information from an enterprise perspective, and explore data management as an essential resource to organizational success through a deeper understanding of the concepts and techniques for managing the design, development, and maintenance of all the components of enterprise information management.
The course will examine the roles and responsibilities of the various professionals that manage data and information in an organization. DAT Decision Methods and Modeling The role of many analysts is as much about interpreting the results of data analysis as it is about gathering the data and "crunching the numbers.
Concepts from enterprise data management, including data warehousing and business intelligence, will provide a foundation for examining the topics of data mining, advanced and dimensional data modeling, and decision support system development as techniques for an organization's competitive advantage. DAT Presentation and Visualization of Data In addition to the gathering and interpretation of data, today's business environment calls upon the analyst to communicate the results of data analysis to a variety of audiences.
In this course students will learn how to synthesize the technical components of data analysis into reports, presentations, and visual dashboards that are meaningful for the intended audience and deliver those components in a coherent, convincing format.