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Director, Data Analytics Global Services
2021-02-04 11:13:28| Space-careers.com Jobs RSS
ROLE DESCRIPTION SUMMARY The Director of Global Services Data Analytics will support the SES Global Services efforts in leveraging the power of data, analytics, and data science to uncover hidden relationships from vast troves of data, generate insights, and describe the story from those insights in order to inform decisionmaking across the organization to drive automation, selfservice and optimal operations across Global Services. This position will work as an integral part of the Global Programme Office team, driving, developing, supporting and delivering its initiatives, across all SES disciplines and at all levels of GS stakeholders. Key responsibility will include designing developing of data models, simulations, visualizations, dashboards to identify trends, areas of optimization, and deliver process improvements and efficiencies across SES Global Services. This position is also responsible for providing a strategic vision of data analytics to facilitate operational efficiencies customer insights across Global Services. Will provide due inputs to IT w.r.t Global Services data analytics needs to improve existing data frameworks and help developing and implementing new data related solutions across functional teams. Will ensure the accuracy and integrity of Global Services operational and customer reporting implemented by Data Analysts and Business Analysts and provide guidance to them to maintain appropriate data standards and documentation. PRIMARY RESPONSIBILITIES KEY RESULT AREAS Apply data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets and present the stories the data is telling to support decisionmaking Provide vision and design for optimized frameworks by utilizing Artificial Intelligence algorithms for predictive data analytics Oversee the implementation execution of predictive analytics models developed by engineers analysts Ensure accuracy, integrity, timely delivery, and proper documentation of operational and customer performance reports implemented by data and business analysts Communicate outcomes, recommendations and methodologies effectively with leadership teams and executives Participate, support, and promote the design and implementation of analytics keeping both external and internal customers requirements in mind Collect requirements to design, develop, and execute strategy to implement data driven solutions Provide technical expertise, mentoring within Global Services other functions to leverage advanced data analytics and data sciencebased solutions Drive adoption and lead efforts for data driven technology services Establish standardized testing frameworks to validate and approve processes for GS reporting and visualization efforts Execute fullscope of advanced analytic techniques with the objective to creating predictions and forecasts which drive datadriven recommendations for improvements to business processes Support creating and sustaining innovative approaches to analyse, transfer, map, catalogue, search, configure, and integrate data and information. COMPETENCIES Excellent in communicating with high level decision makers and conveying data driven stories with nontechnical audience Excellent in listening, negotiation, and presentation skills. Experience in team coaching, technical team leading, and project management in both waterfall and Agile frameworks. Positive attitude with high level of integrity, adaptability, ease to handling multiple responsibilities and several simultaneous projects, with minimal supervision and appropriate priority. Excellent organizational and attention to details skills Deep knowledge base and understanding of data types, sources, formats, environments, wrangling, transformation, machine learning, AI and visualization tools and techniques Problem solver with strong analytical skills and ability to connect complex business problems with viable technical solutions. QUALIFICATIONS EXPERIENCE REQUIRED 15 year of experience in data analysis, analytics, and applied statistics Effectively communicate verbally and in writing to executive level stakeholders Bachelors degree in computer science, business, staistics, mathematics, data analytics, engienering, or related field Masters degree with experience in data analytics or operations is preferred Ability to work independently in a fast paced, high visibility program office while balancing multiple workstreams Experience with big data, data warehousing, structured and unstructured databases, and business intelligence domains. In depth understanding and experience working in cloud environment MS Azure is preferred In depth understanding managing teams working with statistical modelling languages Experience working with big data logging systems such as Splunk and open sources is a plus SES and its Affiliated Companies are committed to hiring and retaining a diverse workforce. We are an Equal OpportunityAffirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. In conformity with U.S. Government technology export regulations, including the International Traffic in Arms Regulations ITAR and the Export Administration Regulations EAR, andor other applicable U.S. law, regulation or other requirements imposed by the U.S. Government, certain positions may require U.S. Citizenship, status as a lawful permanent resident of the U.S. or a protected individual as defined by 8 U.S.C. 1324ba3, or eligibility to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce. Apply HERE
Tags: services
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Big tech: I kept a data video diary
2021-02-03 01:06:14| BBC News | Business | UK Edition
Technology reporter Zoe Kleinman keeps a video diary of the times she shares data with tech companies.
Vodafone shares jump on back of pandemic data demand
2021-02-03 01:00:00| Total Telecom industry news
Vodafone's revenue has risen for the first time since March on the back of demand for high-speed broadband during the COVID-19 pandemic. City A.M. reported that Vodafone has seen revenues rise by 0…read more on TotalTele.com »
Google inks cooperation deal with Ford for Android, cloud, data analytics
2021-02-02 09:17:00| Telecompaper Headlines
(Telecompaper) Google has signed a new deal to power all future Ford and Lincoln vehicles by Android, with built-in Google apps and services...
Data Centre Operations Engineer
2021-01-29 17:12:57| Space-careers.com Jobs RSS
Solenix is specialized in the provision of highquality software engineering, technical consulting and operations services in the aerospace domain. This vacancy note concerns an onsite consulting position at EUMETSAT in Darmstadt, Germany. Job Description We are looking for a Data Centre Operations Engineer to provide engineering consultancy to the following The Data Services offered by the Data Centre Archive UMARF Data ingestion, retrieval and ordering User access reporting On demand data access from the GSICS and ADDE server. The new ondemand Data Access Services involving data from the EUMETSAT Data Centre The Data Store Ondemand Data Download service. The Data Tailor Web Service Ondemand Data Processing service. EUMETView Ondemand Data Visualisation service. Underlying infrastructure such as the Data Lake EUMETSATs future central data repository. The responsibilities include 1st Line Support to the above Services. Operational support and execution of routine operational tasks. Configuration, validation and testing of service releases. Support to integration of user requirements and evolutions. Required Skills and Experience A University degree or equivalent in a relevant engineering science discipline. Experience in working in the Unix Linux OS. Experience in software development in CC and Java. Experience in working with Relation Databases and SQL. Experience in scripting in Shell, Perl or Python. Proven experience in using MS Office at least using of MS Word and MS Outlook. Excellent team working skills as well as being able to work autonomously. Very good analytical skills. Very good communication and behavioural skills. The ability to perform under high workloads. Fluency in spoken and written English is mandatory. As a member of the support team, experience in any of the following is also required. Applying the software development life cycle for systems development i.e. Proven record for the specification and validation of system and user requirements. Writing of test plans and related documentation for verifying and validating computing systems. Testing and using test automation of software e.g. QFS. Preparation and review support of development and user documentation. Experience in using Source code control systems such as GitLab. Continuous Integration and Deployment Technologies GitLab CI, Jerkins, etc. Rest APIs. Software Development Environments such as the Eclipse. XMLXSDXLT and their associated tools. Experience of working in an operations environment supporting the analysis and resolution of system anomalies, and user support issues. Experience in working with Remote Sensing Data and their Formats. Experience in using documentation management systems Desirable Skills and Experience Experience in the development of the product formats in netCDF and HDF. Good knowledge of standards, conventions and guidelines for the specification of metadata for Earth Observation data, for example Climate and Forecast Conventions. Experience with Meteorological data formats such as McIDAS, GeoTiff, BUFR and GRIB. Experience of working with Earth Observation data, and their visualisation and processing. Hosted Processing Technologies Dask, Docker Swam, Docker Containers, Kubernetes, etc. Experience with using tools such as IDV, McIDASV, IDL and THREDDS. Knowledge of OGC standards and Web Map Services Geographical Information Systems. Basic understanding of statistics generation and the use of analytical tools. Work Location Darmstadt, Germany Application Deadline 05 February 2021 Start of Work July 2021 or as soon as possible. Important Notes Before applying to this position, please read the page How to Apply on the Solenix website under Career. Applicants must be EU citizens or have a valid work and residence permit in Germany. Security, identity and reference checks on the candidates are part of the recruitment process. Job Application Please send your applications electronically to careersolenix.ch before the application deadline 05 February 2021. Learn more about us in Facebook.
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