Predictive Analytics Job Description
Predictive analytics
provides actionable insights for digital initiatives as they implement techniques such as multivariate and A/B testing methods.
Predictive Analytics Duties & Responsibilities
To write an effective predictive analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included predictive analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Conduct R&D to drive methodology improvement
Solve complex business problems by formulating, developing, and interpreting statistical models and analysis
Derive actionable insights from structured and unstructured big data
Use current and emerging Statistics, Machine Learning and Data Science methods
Innovate new analytic solutions that serve unmet customer needs
Keep up with new academic and business developments in the field of data analytics
Collaborate with academic research teams
Communicate analytical results clearly and succinctly
Work closely with the sales team and clients to make value-added analytical services available to customers
Be creative, collaborative in nature, and a self-starter
Predictive Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Predictive Analytics
List any licenses or certifications required by the position: SAS, NAC, ITIL
Education for Predictive Analytics
Typically a job would require a certain level of education.
Employers hiring for the predictive 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, Mathematics, Computer Science, Economics, Engineering, Physics, Industrial Engineering, Finance, MBA, Marketing
Skills for Predictive Analytics
Desired skills for predictive analytics include:
Relational databases
Coding skills
Healthcare / life science issues involving Real-World Evidence
Python
R
Strong familiarity with Excel
Multivariate analysis
Sampling methods
Stochastic models
Supervised machine learning methods
Desired experience for predictive analytics includes:
3 or more years of experience in predictive modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation
Master’s degree in Statistics or Mathematics
At least 7 years of hands-on Modeling experience in the Marketing function within Financial Services or Retail or Credit Risk Modeling within Consumer Financial Services
4-7 years of hands-on modeling experience in Marketing within Financial Services and/or Retail industries or Credit Risk Modeling within Consumer Financial Services
Augment the PPA report outputs with fact based examples and observations, including inputs from other non-EPMO reviews
Predictive Analytics Examples
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Predictive Analytics Job Description
Job Description Example
Our growing company is looking to fill the role of predictive analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for predictive analytics
- Experience with BI platforms such as Tableau, scripting language (Python, Perl) experience a plus
- Perform quantitative analysis and data mining in order to identify trends and ongoing opportunities with a sales oriented mindset
- Design models to capture predictive signals that aid in solving business problems
- Build out a set of insights covering who/when/how/why for Sales professionals to action on
- Interpret results of analysis to Sales professionals in an efficient and effective way
- Collaborate with Sales professionals to marry expertise with predictive intelligence
- Create a client-centric model and correlate client profile and Sales related behavior to enable a highly targeted outreach strategy
- Develop innovative techniques to validate recommendations through measurable Sales lift
- Influence multiple senior level stakeholders to embrace the adoption of analytics in the organization
- Create and lead a high performing team to deliver focused analytics solutions
Qualifications for predictive analytics
- Track common themes emerging from PPA assessments and feed them back to the EPMO & EES teams with observations and recommendations to support continuous improvement and address systemic issues
- BA or BS degree in Finance, Business, or Economics required
- Strong Excel spreadsheets, SQL, predictive analytic software, PowerPoint skills preferred
- Advanced statistical modelling skills - Regression, GLM, Data Mining, Time- Series
- Good understanding of Hadoop, Hive and/or MapReduce
- Ability to communicate and visualise data to all audiences
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Predictive Analytics Job Description
Job Description Example
Our company is looking for a predictive analytics. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for predictive analytics
- Define competitive product characteristics, positioning, packaging and pricing across multiple solutions
- Manage Predictive Analytics analysts as People Manager
- The main responsibilities of the role are investigation of real-time global manufacturing data as captured in diverse business sectors through the use of predictive analytics data mining tools
- In addition, the advanced quality team also conducts deep analysis of data on a broad range of strategic and tactical initiatives from production line data requirements and targets
- Expert knowledge of various platforms
- Strong working knowledge of data mining algorithms--decision trees, probability networks, structural equation modeling or association rules, clustering, time-series, composite distance, linear and logistic regression,-- as applied to production line, and customer or suppliers stream data
- Familiarity with database structures and data warehousing principles including a strong knowledge of SQL with the ability to ETL both structured and unstructured data from various sources is required, as well Hadoop, and enterprise networking
- Develop and implement data mining solutions to fit business problem, which may include applying algorithms from a standard tool or custom algorithm development
- Work closely with data warehouse architects and software developers to generate seamless business intelligence solutions for end users
- Support production data mining solutions
Qualifications for predictive analytics
- Strong background in machine learning, feature extraction, signal processing classification, regression algorithm and statistics
- Superior technical expertise in actuarial risk-based modeling
- Strong statistical modeling expertise including logistic regression, CHAID/CART analysis, and other general linear models
- SQL experience is a major plus
- Advanced degree in Statistics, Math, Engineering or other quantitative-focused field
- At least 1 year of data analytics experience in financial services, ideally asset management
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Predictive Analytics Job Description
Job Description Example
Our innovative and growing company is looking for a predictive analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for predictive analytics
- Translate the organizational analytics vision to a roadmap and clear system backlog
- Apply quantitative
- Interact with all operational divisions of Abbott
- Provide analytical expertise throughout the organization and support key goals and initiatives
- Comprehend the compliance
- Partner with analytics functions of other Corporate-level groups
- Support innovation, development and improvement in analytic techniques and capabilities
- Contribute to project tasks and timelines
- Perform mid-year and end of year evaluations on their direct reports
- Manage the development and training of direct reports
Qualifications for predictive analytics
- Passionate about data-driven approach and can think strategically to draw out big picture correlations, predictions, and recommendations
- Specialization in statistical modeling, machine learning, and large-scale data analysis
- Ability to apply cutting-edge predictive analytical techniques to complex data sets
- Strong quantitative skill balanced with business insight mindset
- Ability to communicate complex analytical approaches in a clear and concise manner and validate the approach
- Ability to build strong working relationships with Sales professionals
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Predictive Analytics Job Description
Job Description Example
Our innovative and growing company is looking for a predictive analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for predictive analytics
- Provide leadership and coordinate the review and leverage of global data resources to impact study design
- Anticipate and lead issue resolution
- Evaluate the impact of development scenarios on overall timelines and study cost
- Negotiate with other functional areas on project outcomes and deliverables to meet conflicting demands (time, cost, quality/ performance)
- Ensure adoption of best practices and standards for development, support, quality control and documentation
- Provide technical guidance to coach and mentor team members
- Participates and provides input to overall BIA Systems and Applications Strategy including Data Governance and Master Data Management related initiatives
- Bachelor’s Degree in in Math, Physics, Computer Science, Engineering or other quantitative discipline
- Experience in product development or analytics in the Technology sector
- Experience with complex data analytics, data products, and Big Data technologies
Qualifications for predictive analytics
- Proactive with a high level appetite for innovation and demonstrated ability to learn new subject areas quickly
- Minimum of 5 years of analytics experience, traditional business intelligence experience
- Minimum of 2 years of experience performing advanced quantitative and qualitative analysis
- Bachelor’s Degree or equivalent work/industry experience
- Product management leadership experience managing a large business ($60-$100M)
- Superior written, verbal communication skills and interpersonal skills
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Predictive Analytics Job Description
Job Description Example
Our company is growing rapidly and is hiring for a predictive analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for predictive analytics
- At least three years of hands-on experience working with data analysis
- Experience working with Hadoop and Map/Reduce a plus
- Experience working with cross functional teams to develop products and services
- Will identify trends based on collected data to drive product performance improvements
- Responsible for providing guidance on collection of data variables, , are insignificant data being collected, are potentially significant variables being missed
- Manage relationships and project delivery with external vendors
- Proactively engage with multiple departments across the org, including Product, Engineering, Merchandising, Site Optimization, Design, and Finance, to solve problems and identify trends and opportunities
- Inform, influence, support decision making for Hotel/LPS Product
- Work with our IT partners to develop solid modeling database files and thoroughly analyze and test the data in order to identify issues that could potentially have an impact on the model results
- Establish a shared vision for customer segmentation and predictive capabilities
Qualifications for predictive analytics
- Programming experience with SAS (STAT, macros, EM) and other statistical software (R, CART, SPSS, Matlab)
- Academic background in mathematics, statistics, econometrics, quantitative analytics, or related field
- You are a fully matriculated student in computer science, mathematics, or related fields
- Knowledge in data mining and machine learning
- MBA preferred with Statistician and/or Mathematician background
- University Degree with a high degree of mathematics and statistics