Data Insights Analyst
Primary Job Purpose The Data Insights Analyst Senior is responsible for developing and providing analytics. These roles provide regular reporting and analytics on the performance and value of apps, web and mobile platforms and perform ad hoc analyses that inform site optimization and user experience design. These roles are also responsible for working with our product management and client service teams to perform analyses of impact of platforms which entails analysis method design, consulting, execution of the statistical analysis, mathematical modelling and reporting. General Functions and Outcomes Works cross functionally to understand business objectives, and provide analyses on routine and ad hoc projects that are directly relatable to business stakeholders. Designs and executes analytics projects (conceptualization, method, data sourcing, analysis structure, and report/data visualization). Ensures the timely delivery of accurate project reporting and analyses. Provides insights to clients on tracking deliverables and ad hoc analysis projects which leverage insights from consumer digital site behavior with campaign, survey and consumer activity data, and claims data. Performs analyses that move beyond an explanation of 'what happened' to 'why it happened' and 'what should be done'. The successful analyst turns data observations into insights, insights into recommended actions, and ultimately developing strategy and site optimization. Provide reporting to meet stakeholder agreements. Creates, manages and drives analyses, KPI definition/measurement and analytics in support of corporate initiatives. Collaborates with team members to define goals and KPI's and identifies the best way to track metrics within HealthSparq's digital platforms to assess success of new and existing site features and functionality in order to shape the strategy of future plans. Collaborates with various internal and external teams to identify and prioritize recommendations based on insights uncovered from data analysis. Collaborates with team members to develop analytical and statistical methods, best practices and systemic processes that enable standardization and automation of tracking and reporting and client self-service for routine reports. Drive the continued development of customer understanding via quantitative and qualitative methodologies as it pertains to both online behavior as well as the intersection of online behavior and all other customer touch points. Builds models that represent the consumer digital data in a manner that promotes understanding of influences on digital behavior. Able to provide recommendations to client on appropriate methodology. Provide guidance to level I analysts. Provides work team leadership for cross functional projects. Provides review of data sourcing and manipulation strategy, analytical methods and computational integrity. Provide mentoring for developing Digital Consumer Insights Analysts, assisting in project design, method selection and review of analyses and quality. Able to work with clients and/or senior leadership to make recommendations which allow clients and/or leadership to gain greater understanding regarding impacts of features/ functionality. Able to guide company wide data strategy including recommendations for enhanced data capture and how to leverage data and analytics for greater impact to company Minimum Requirements Whole-brain thinking:
Possessing the ability to think creatively and demonstrate analytical skills, analyzing complex situations both alone and as part of a team, learning quickly and synthesizing solutions, options and action plans. Experience with tools for data mining, statistics, analysis, and scripting (e.g., Python, R, SAS, Scala, MATLAB, Ruby). Demonstrated experience creating complex SQL queries for standard as well as ad hoc data mining purposes, analyze large amounts of data, interpret qualitative data (research, feedback) and incorporate into analyses. Experience with data reporting tools- Tableau, Micro-strategy, SPSS, SQL Server Reporting Service) Demonstrated understanding of research and ability to develop methodologies in data mining and other innovative statistical/mathematical approaches. Ability to collaborate with team members and business partners to define, develop, and deliver web and digital analytics that meet the needs of the business to manage routine operations, identify tactical decisions, and inform strategic direction. Ability to present complex data, analysis or findings to teams in a way that is clear and understandable and supports the overall business decisions and program efforts. Demonstrated experience analyzing consumer web, app and mobile behavior. Experience with web analytics software- Web-trends, Google Analytics, Adobe Analytics Ability to work independently, managing deliverable timelines and clients. Ability to develop and produce accurate, error free final deliverables and to participate in and support a peer review culture. Experience with statistical modelling of results to drive enhanced decision-making. Advanced skills in data extraction and manipulation. Experience leading work teams both internal to the department and comprised of multi-disciplinary staff. Expert in data extraction design and manipulation, coaching junior level analysts in best practices. Normally to be proficient in the competencies listed above Digital Consumer Insights Analyst Senior would have a Master's degree in Statistics, Mathematics, Computer Science, Information Technology, or Economics or related field and 7
years of related work experience or equivalent combination of education and experience.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Possessing the ability to think creatively and demonstrate analytical skills, analyzing complex situations both alone and as part of a team, learning quickly and synthesizing solutions, options and action plans. Experience with tools for data mining, statistics, analysis, and scripting (e.g., Python, R, SAS, Scala, MATLAB, Ruby). Demonstrated experience creating complex SQL queries for standard as well as ad hoc data mining purposes, analyze large amounts of data, interpret qualitative data (research, feedback) and incorporate into analyses. Experience with data reporting tools- Tableau, Micro-strategy, SPSS, SQL Server Reporting Service) Demonstrated understanding of research and ability to develop methodologies in data mining and other innovative statistical/mathematical approaches. Ability to collaborate with team members and business partners to define, develop, and deliver web and digital analytics that meet the needs of the business to manage routine operations, identify tactical decisions, and inform strategic direction. Ability to present complex data, analysis or findings to teams in a way that is clear and understandable and supports the overall business decisions and program efforts. Demonstrated experience analyzing consumer web, app and mobile behavior. Experience with web analytics software- Web-trends, Google Analytics, Adobe Analytics Ability to work independently, managing deliverable timelines and clients. Ability to develop and produce accurate, error free final deliverables and to participate in and support a peer review culture. Experience with statistical modelling of results to drive enhanced decision-making. Advanced skills in data extraction and manipulation. Experience leading work teams both internal to the department and comprised of multi-disciplinary staff. Expert in data extraction design and manipulation, coaching junior level analysts in best practices. Normally to be proficient in the competencies listed above Digital Consumer Insights Analyst Senior would have a Master's degree in Statistics, Mathematics, Computer Science, Information Technology, or Economics or related field and 7
years of related work experience or equivalent combination of education and experience.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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