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Data Analyst
3 months ago
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.
Responsibilities:
- Identifies and evaluates emerging trends in health insurance and health care.
- Practice self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice 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
- 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.
Qualifications:
- Master's degree in mathematics, statistics, engineering, social/physical/life science, business, or related field
- Experience in data analytics required
Preferred Qualifications:
- Health insurance experience
- Certification in one of the following preferred: Oracle Business intelligence (OBI), EMC Data Science Associate (EMCDSA), Certified Authorization Professional (CAP), or Microsoft Certified Solutions Expert (MCSE).
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate's qualifications, skills, competencies, competencies, competencies, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
