Data Analyst

Description: Responsible for driving strategic data-informed decisions, gathering data and information on target variables in an established systematic fashion, and preparing data for analytic efforts This position drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines, interprets complex data analyses, and leads the development of advanced analytical and/or statistical models enabling informed business decisions Major Responsibilities/Essential Functions, Identifies and evaluates emerging trends in health insurance and health care Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders communicating information and providing advise to drive projects forward influencing team members within assigned unit listening and responding to, seeking and addressing performance feedback adapting to competing demands and new responsibilities providing feedback to others, including upward feedback to leadership and mentoring junior team members creating and executing plans to capitalize on strengths and develop weaknesses and adapting to and learning from change, difficulties, and feedback Conducts or oversees business-specific projects by applying deep expertise in subject area promoting adherence to all procedures and policies developing work plans to meet business priorities and deadlines determining and carrying out processes and methodologies coordinating and delegating resources to accomplish organizational goals partnering internally and externally to make effective business decisions solving complex problems escalating issues or risks as appropriate monitoring progress and results recognizing and capitalizing on improvement opportunities and evaluating recommendations made by others Interprets complex data analyses by applying findings to contextual settings and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making participating in peer reviews and providing context related data interpretations and/or limitations as appropriate Leads the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements translating models and gaining stakeholder buy-in for implementation creating complex models leading to actionable insights and testing, refining and validating models Drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed defining, calculating, and validating algorithms and conducting complex analyses, including descriptive, correlational, inferential, and/or predictive statistics Prepares data for analytic efforts by integrating and consolidating data ensuring data quality and accuracy profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data collaborating with stakeholders and source system owners to resolve data quality issues as appropriate and cleaning and creating final data set(s) for analysis Gathers data and information on targeted variables in an established systematic fashion by validating data sources querying, merging, and extracting data across internal and external sources completing routine data refresh and update developing and/or delivering complex tools for electronic data collection and providing user training, support and documentation Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines developing outcomes and process measures translating business requirements, determining data/information needs and data collection methods developing complex analysis plans evaluating the impact of business decisions on clients, customers, and/or members partnering with clients and staff to identify opportunities and methods to improve efficiencies with analysis supporting and training end-users and documenting processes and deliverables. • Top Daily Responsibilities: creating sql queries to research data anomalies, reconciliation between files & data sources, monitoring claims submissions Requirement: