Analyst: Data & Policy
ATI Advisory · Remote, District Of Columbia, United States
About The Role
<div class="content-intro"><p>ATI Advisory is a healthcare research and advisory services firm changing how businesses, communities, and public programs serve complex populations. We deliver insight backed by original research and provide practical solutions for our clients and the families they serve. Our team includes nationally recognized experts across Medicare, Medicaid, long-term care, and provider delivery, and we bring an influential voice to efforts transforming health care.</p>
<p>For more information, visit <a href="http://www.atiadvisory.com">www.atiadvisory.com</a>.</p>
<p> </p>
<p> </p></div><h2>The Role</h2>
<p><span class="TextRun SCXW191972429 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW191972429 BCX0">ATI Advisory is seeking a high-performing Data and Policy Analyst to join our Data </span><span class="NormalTextRun SCXW191972429 BCX0">S</span><span class="NormalTextRun SCXW191972429 BCX0">trategy</span><span class="NormalTextRun SCXW191972429 BCX0"> team.</span><span class="NormalTextRun SCXW191972429 BCX0"> The team serves clients across payers, providers, states, </span><span class="NormalTextRun SCXW191972429 BCX0">investment firms</span><span class="NormalTextRun SCXW191972429 BCX0">, and philanthropies, spanning Medicare and Medicaid. In this role, you will design Medicare or Medicaid data analyses and translate complex results into understandable and actionable findings. You will balance multiple projects at once, such as a fast-paced market analysis and a long-term, detail-oriented research study.</span></span><span class="EOP Selected SCXW191972429 BCX0" data-ccp-props="{"335559738":240,"335559739":240}"> </span></p>
<h2> </h2>
<h2>What You’ll Do</h2>
<h3><strong><span data-contrast="auto">Design and Run Analyses</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></strong></h3>
<ul>
<li><span data-contrast="auto">Conduct and help design advanced analyses (descriptive, evaluative, and financial) using Medicare and Medicaid administrative data, research files, and public data files.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Draft analysis plans for programmers to implement.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Perform quality-control reviews of R and SAS programming for data analyses, including statistical analyses of complex survey data or analyses of large claims data files.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Create financial models in Excel or R related to healthcare, policy, and business outcomes.</span><span data-ccp-props="{"335559739":0}"> </span></li>
</ul>
<h3><strong><span data-contrast="auto">Translate Findings into Insight</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></strong></h3>
<ul>
<li><span data-contrast="auto">Create informative data visualizations and develop and tell clear stories that emerge from analysis.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Communicate analysis findings and data considerations to project teams, clients, and other external audiences through publications and presentations.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Translate data results into policy considerations and deliver data-backed recommendations to clients or colleagues.</span><span data-ccp-props="{"335559739":0}"> </span></li>
</ul>
<h3><strong><span data-contrast="auto">Partner Across Teams</span><span data-ccp-props="{"335559738":240,"335559739":240}"> </span></strong></h3>
<ul>
<li><span data-contrast="auto">Collaborate with teams across multiple projects and practices to plan and implement data analysis to inform clients' policy and business decisions.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Help identify solutions for teams and clients across practices by contributing to discussions of policy analysis and data sources, methods, and analytic outputs.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Plan and lead tasks within analytic-focused client projects, presenting plans and results to clients and internal teams.</span><span data-ccp-props="{"335559739":0}"> </span></li>
</ul>
<p><span data-ccp-props="{"134233279":true,"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<h2>What We're Looking For</h2>
<ul>
<li><span data-contrast="auto">Minimum 2 years of professional experience analyzing and helping to design analyses of complex Medicare or Medicaid datasets (claims, encounters, public use files, surveys) in healthcare policy or economics.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Professional experience and advanced proficiency in R and Excel analysis.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Experience writing and visualizing research results, and the ability to translate complex ideas and findings into relevant insights for an intended audience, visually, verbally, and in writing.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">A graduate degree in economics, public policy, public health, epidemiology, statistics, mathematics, or another related field, or an undergraduate degree with equivalent work experience.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Experience and ability to prioritize multiple high-priority, complex tasks with competing deadlines.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Strong attention to detail, including the ability to work efficiently to produce accurate, high-quality deliverables.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">High level of initiative, quick learning ability, and resourcefulness, with the ability to solve problems independently, pivot quickly based on client needs, and work with incomplete information.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Ability to support teams' project work while raising risks, questions, and options to appropriate team members.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Experience independently executing and presenting data analyses in a consulting environment or similar setting.</span><span data-ccp-props="{"335559739":0}"> </span></li>
</ul>
<h2> </h2>
<h2>Preferred Experience</h2>
<ul>
<li><span data-contrast="auto">Proficiency with SAS programming or code review.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Experience with Python programming or code review.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Experience with data visualization in Tableau.</span><span data-ccp-props="{"335559739":0}"> </span></li>
<li><span data-contrast="auto">Experience with Git or GitHub.</span><span data-ccp-props="{"335559739":0}"> </span></li>
</ul>
<h2><strong> </strong></h2>
<h2>Why ATI</h2>
<p>At ATI Advisory, you’ll have the chance to move fast, and work with a team of nationally recognized healthcare experts on high-impact projects, and develop skills that advance your career while making a difference in people’s lives.</p>
<h2><strong> </strong></h2>
<h2>How to Apply</h2>
<p>Click the Apply button below and s<span class="TextRun SCXW154555824 BCX0" lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW154555824 BCX0">ubmit</span><span class="NormalTextRun SCXW154555824 BCX0"> a cover letter connecting your experiences to the required job responsibilities listed above (under “What You’ll Do”).</span></span></p><div class="content-conclusion"><p><em>ATI Advisory is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.</em></p></div>
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