Senior Analyst, Advanced Analytics Job Description
Senior Analyst, Advanced Analytics Duties & Responsibilities
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Senior Analyst, Advanced Analytics Qualifications
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Education for Senior Analyst, Advanced Analytics
Typically a job would require a certain level of education.
Employers hiring for the senior analyst, advanced analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Business, Graduate, Finance, Science, Marketing
Skills for Senior Analyst, Advanced Analytics
Desired skills for senior analyst, advanced analytics include:
Desired experience for senior analyst, advanced analytics includes:
Senior Analyst, Advanced Analytics Examples
Senior Analyst, Advanced Analytics Job Description
- Queries data to conduct standard ad hoc analyses of metrics
- Identifies trends and issues following customer experience (CX) within consumer markets
- Take ownership of model scoring processes
- Establish controls around the quality of input data, mid-process process checks, and scoring output
- Establish process to monitor the effectiveness of Auto and WC predictive models monitor the data quality of model inputs
- Communicate pricing recommendation from the model to various stakeholders
- Support implementation of new models and model refreshes
- Identify and propose changes/improvements to the scoring process
- Recommend enhancements to our predictive models by gaining an understanding of competitor models, current model performance, and feedback from stakeholders
- Become a subject matter expert on the Commercial Auto and Workers Compensation lines of business and help drive innovation, profitability, and growth
- Statistics, Mathematics, Actuarial Science
- Excellent SAS programming including SAS macro language preferred
- Bachelor's degree required ,Master's and PHD degree preferred
- 3-5 years’ experience in related health care analytics
- BS or BA in business, economics, statistics, mathematics, is required
- Working knowledge of in Microsoft WORD
Senior Analyst, Advanced Analytics Job Description
- Definition of insight solutions in consultation with the customer, based on our analysis competencies
- Translation of commercial requirements into technical briefs and specifications as basis for contracts, coordination with sales and data science
- Project responsibility from first customer contact to quality control
- Share best practices within the team and the international Telefónica Group
- Responsible for executing the analytics plan
- Assist the Senior Manager to develop data driven segmentation and targeting
- There will be a significant amount of project and vendor management, ensuring timelines are met while analytic authenticity is retained
- Proactively work with key internal stakeholders associated with new and existing business initiatives to understand, shape, agree and deliver their strategic insight requirements
- Review the business landscape and determine Proof of Concept opportunities (the ‘art of the possible’ that involve innovative solutions.)
- Perform strategic analysis & modelling to meet business requirements, providing a commercially relevant interpretation of the key insights
- Candidates for this role typically have acquired their experience through the pursuit of a Master’s Degree or Ph.D
- Broad proficiency in Excel (VBA, macros, scripts, formulas, data visualization, ), PowerPoint, and statistical software packages
- Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, ), PowerPoint, and statistical software packages (SAS, R, SPSS)
- Demonstrated interest in customer experience and a solid understanding of business to improve business outcomes
- Bachelor's degree, preferably in quantitative field such as math, computer science, economics or business
- Advanced analytical and problem solving skills as demonstrated by 5 - 7 years of quantitative and progressively more challenging work experience
Senior Analyst, Advanced Analytics Job Description
- Develops models and tools that help maximize quality outcomes
- Develops templates and tools to assess financial outcomes of programs and quality outcomes/performance
- Drive the build of data modelling solutions to meet business requirements
- Seek insights into new opportunities to drive business value from our Data Estates & toolkit to create a competitive advantage for LGI
- Advises on suitable approach, measures and objectives for all predictive and descriptive statistical models
- Responsible for the contribution to the development predictive and descriptive statistical models
- Support the business is creating value by leveraging existing data assets to drive commercially-focused decisions (analytics, campaigns, reporting, ) in accordance with our data principles
- Takes the lead in evaluating complex business requirements for operational and analytics considerations, working collaboratively across Claims to understand the big picture and incorporate ideas from others groups about implementation, success measures
- Maintain a high level of organizational and operational awareness
- Use SAS Enterprise Miner as a primary tool to build predictive models KXEN, R, SAS Factory Miner and SAS Visual Statistics
- 5 or more years of professional experience required
- Strong written and verbal communication skills, ability to present technical concepts to non-technical individuals within and outside the organization
- Minimum 5 years of experience in data analytics, data science, Big Data, GPS, Location Based Services, Location Based Insights or similar, with data-intensive industries, such as companies generating revenue through statistics, data analytics or data insights
- Experience in data analysis and modelling at retail, transport or consulting equivalent
- SQL (in Big Data context), geographic information systems, other data with spatial reference
- Microsoft PowerPoint, Excel, Word
Senior Analyst, Advanced Analytics Job Description
- Independently manage projects of varying complexity with limited direction
- Establish requirements with stakeholders
- Facilitate working meetings with analysts and project status meetings with product owners
- Effectively and consistently communicate work progress to stakeholders
- Track requirement changes and manage project risks
- Serve as a data subject matter expert
- Perform data processing, data profiling or exploratory data analysis
- Knowledgeable resource on Cloud solutions to accelerating data discovery
- Conduct ad-hoc analysis on data and systems
- Support and improve department best practices and standards
- University degree, preferably in economic engineering., economic mathematics, statistics, geography, or similar
- Very high retail and partner orientation
- Start-up / hands-on mentality
- Holistic thinking, highly implementation / solution oriented, team player
- Mother tongue German, fluent in business English
- Bachelor’s or Master degree in Mathematics, Statistics, Operational Research or other equivalent field
Senior Analyst, Advanced Analytics Job Description
- Design and execute insightful analytic reports on billing & payment operations, including billing, payments, customer service, retention, compliance
- Lead continuous improvement of billing & payment reporting
- Implement voice of customer processes to ensure reports are high value-added and user friendly
- Leads ad hoc/trend analysis on variances observed in standard reports – providing recommendations to front-line operations
- Assists in designing billing data roadmap to enable advanced analytics solutions
- Performs or coordinates special analytics projects as requested
- Ensure business change can be derived from insights, driving the ‘So What’ in every delivery
- Contribute to strategic analysis planning and deliver insights to inform the customer strategy
- Identify and implement opportunities for advances in methods and metrics
- Share expertise with each other by participating in workshops and training sessions
- Advanced degree (PhD) in a quantative field – Stats, Machine Learning, Physics
- Direct, personal experience in analysing structure and unstructured data sets
- Experience in telecommunications, ecommerce or media preferred
- Exposure to a range of analytical technology (R, SAS, SPSS)
- Strong understanding of database structure, design, query languages, fundamental of mathematics, large data sets distributed systems and stats concepts
- Deep knowledge of analytical methodologies such as regression, signal processing, optimisation, data mining