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sr data analyst

Net2Source (N2S)

<div>
 <p>
  <strong>
   Role : Senior Data Analyst - IT Data Platform
  </strong>
 </p>
 <p>
  <strong>
   Location : Charlotte ,NC (Onsite)
  </strong>
 </p>
 <p>
  <strong>
   Position Type : Contract
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB DESCRIPTION
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Strong SQL skills (redshift experience preferred)
   </strong>
  </li>
  <li>
   <strong>
    Data analysis experience (Data lineage, Pattern recognition, Trending &amp; Troubleshooting )
   </strong>
  </li>
  <li>
   <strong>
    Experience in highly integrated environments
   </strong>
  </li>
  <li>
   <strong>
    Self-sufficient working alone or with others
   </strong>
  </li>
  <li>
   <strong>
    Works well in cross functional orgs
   </strong>
  </li>
  <li>
   <strong>
    GIS experience preferred
   </strong>
  </li>
  <li>
   <strong>
    Telecom address experience preferred
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What to look for:
  </strong>
 </p>
 <p>
  <strong>
   1. Sr. Data Analyst (Data lineage, Pattern recognition, Trending &amp; Troubleshooting)
  </strong>
 </p>
 <p>
  <strong>
   2. Expert level SQL complex quiring experience in enterprise data environment.
  </strong>
 </p>
 <p>
  <strong>
   3. Must have "Address Data" experience.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Best Regards,
 </p>
 <p>
  Bismillah Arzoo (AB)
 </p>
</div>


Sr Data Analyst - Telecom Domain

TeamHealth

<div><div><div><b>TeamHealth</b><b> is proud to be the leading physician practice in the U.S. providing exceptional patient care, together. </b><b>TeamHealth has been recognized by Newsweek as one of America&rsquo;s Greatest Workplaces in Health Care for 2025</b><b> &ndash;Becker&rsquo;s Hospital Review names TeamHealth among the top 150 places to work in healthcare. We continue to grow across the U.S. from our Clinicians to Corporate Employees. Join us!</b><br>
<br>
<b>What we Offer</b><br>
<ul><li>
<br>
<br>
<b>Career Growth Opportunities</b></li><br>
<li>
<br>
<br>
<b>A Culture anchored in a strong sense of belonging</b></li><br>
<li>
<br>
<br>
<b>Benefits (Medical/Dental/Vision) begin the first of the month following 30 days of employment</b></li><br>
<li>
<br>
<br>
<b>401k (Discretionary match)</b></li><br>
<li>
<br>
<br>
<b>Generous PTO</b></li><br>
<li>
<br>
<br>
<b>8 Paid Holidays</b></li><br>
<li>
<br>
<br>
<b>Equipment Provided for Remote Roles</b><br>
</li>
</ul><br>
<b>JOB DESCRIPTION OVERVIEW:</b><br>
<br>
The Senior Recruitment Data Analyst is responsible for designing, implementing, and maintaining recruiting data models, dashboards, and reports. Under the direction of the Data Analytics Manager, the Sr. Analyst performs research and advanced analyses to identify areas of improvement across all business lines. This role assumes responsibility for collecting, analyzing, and reporting data related to the Provider Recruiting function, and for delivering actionable insights and recommendations to recruiting leaders. The position requires the ability to work independently, manage multiple priorities, and operate effectively in a remote or distributed work environment.<br>
<br>
<b>ESSENTIAL DUTIES AND RESPONSIBILITIES:</b><br>
<ul><li>Collect, analyze, and interpret large and complex recruiting datasets from multiple systems (e.g., ATS, CRM, HRIS, job boards, TextUs) to provide insights on pipeline health, funnel metrics, time-to-fill, source effectiveness, and quality of hire.</li>
<li>Design, develop, and maintain dashboards and reports to monitor recruiting performance, workforce planning, and diversity hiring goals.</li>
<li>Translate complex datasets into clear, compelling insights and actionable recommendations for Talent Acquisition leadership.</li>
<li>Partner with Recruiting Operations, Recruiting Marketing, and Enterprise IT teams to improve data accuracy, standardization, and reporting automation.</li>
<li>Conduct ad-hoc analyses to answer business-critical questions and support executive-level presentations.</li>
<li>Lead projects leveraging predictive and advanced analytics, such as forecasting hiring demand, modeling recruiter capacity, and evaluating the impact of recruiting strategies and programs.</li>
</ul>
<p><b>Job Requirements:</b></p>
<div><b>
QUALIFICATIONS / EXPERIENCE:</b><br>
<ul><li>Bachelor&rsquo;s degree in quantitative field (Data Analytics, Mathematics, Statistics, Computer Science, or Accounting/Finance Business)</li>
<li>5+ years of experience in data analytics using enterprise systems, preferably in human resources, recruitment, or workforce analytics.</li>
<li>Advanced SQL skills, preferably with experience developing scripts and queries in Snowflake.</li>
<li>Advanced proficiency in Excel (including Macros, PivotTables, graphs, and VLOOKUP).</li>
<li>Advanced skills in data visualization tools, such as Power BI.</li>
<li>Experience of working with applicant tracking systems (e.g., Workday, BrassRing, iCIMS) and HRIS data.</li>
<li>Knowledge of predictive modeling, statistical analysis, or programming languages (Python/R) is a plus.</li>
<li>Experience with workflow or automation tools (e.g., Alteryx) or application builders (e.g., Caspio) is a plus.</li>
<li>Experience with Recruiting Marketing technologies is a plus</li>
<li>Experience with CRM is a plus is a plus</li>
<li>Strong analytical, problem-solving, and data storytelling skills; able to communicate insights to both technical and non-technical audiences.</li>
<li>Detail-oriented, proactive, and capable of managing multiple priorities in a fast-paced environment.</li>
<li>Demonstrated ability to work independently, prioritize tasks, and deliver results in a remote or distributed work setting.</li>
</ul></div></div><div><div>Get job alerts by email. <b>Sign up now!</b><b>
</b><p></p>
</div><div></div><div><div>Job Snapshot</div>
<div><h4 class="jobSectionHeader"><b>Employee Type</b></h4>
Full-Time
</div><div><h4 class="jobSectionHeader"><b>Location</b></h4>
USA (Remote)
</div><div><h4 class="jobSectionHeader"><b>Job Type</b></h4>
Admin - Clerical
</div><div><h4 class="jobSectionHeader"><b>Experience</b></h4>
Not Specified
</div><div><h4 class="jobSectionHeader"><b>Date Posted</b></h4>
12/15/2025</div></div></div></div></div><p></p>

Sr. Data Analyst

Johns Hopkins University

<div><p>This position supports a portfolio of health policy and health economics research projects in collaboration with faculty at the Center for Mental Health and Addiction Policy, the Hopkins Housing and Health Collaborative, and the Hopkins Business of Health Initiative to manage, analyze, and interpret large healthcare datasets, including Medicaid, Medicare, commercial, and all-payer claims.<br>
</p><p></p><br>
<p>We are seeking a <b><i>Sr. Data Analyst </i></b>who will be responsible for developing, implementing, and managing a plan to translate data into insights. The Sr. Data Analyst will provide expertise in data analysis and illustrations to articulate and monitor programs, projects, and general business success. The Sr. Data Analyst will serve as a data consultant to the assigned area and to provide complex analysis and reporting on various outcomes.<br>
</p><p></p><br>
<p><b>Specific Duties &amp; Responsibilities
</b></p><ul><li>Align assessment strategy with strategic objectives and goals.
</li><li>Translate data into insights to be used to support positive and enhanced outcomes.
</li><li>Collaborate with leadership to plan and implement assessment activities, including consultation on data collection, data analysis, reporting of assessment outcomes, and using results to improve programs and services.
</li><li>Prepare an annual assessment report to summarize findings across the school/division.
</li><li>Lead the design of clean, impactful, user-friendly data visualizations supporting strategic goals.
</li><li>Communicate findings compellingly and visually through dashboards, reports, briefing decks, stories, scorecards, executive briefings, etc. for different audiences using software like Power BI and Tableau.
</li><li>Provide insights on data patterns and trends, make strategic recommendations from analysis.
</li><li>Design and build data visualizations from concept to data analysis to the final step of visualization, informed by principles of good data storytelling.
</li><li>Collect and analyze various complex data and information; in collaboration with others, perform statistical analysis and summarize findings inapplicable reports or other communication mediums.
</li><li>Use data visualization techniques to distill and clarify complex processes or data sets.
</li><li>Conduct quality assurance and review of all data visualizations to ensure accuracy, usability, and adherence to existing branding and style guidelines.
</li><li>Create and maintain a library or repository of analysis documents, slides, and links to dashboards.
</li><li>Work with leadership to develop an efficient system for planning and administering surveys to minimize survey fatigue and maximize the collection of actionable data.
</li>Other duties as assigned.<br>
<li>
</li></ul><p></p><br>
<p><b><i>In addition to the duties described above
</i></b></p><p></p><ul><li><b>Perform data intake and cleaning tasks on large administrative datasets (e.g., insurance claims).
</b></li><li><b>Use advanced statistical and programming software (e.g., SAS, Stata, SQL, R, Python) to conduct exploratory and hypothesis-driven data analysis.
</b></li><li><b>Solve complex data problems using appropriate methodologies for analyses (e.g., advanced regression modeling, econometrics).
</b></li><li><b>Collaborate with faculty on data visualizations, data interpretation, and manuscript preparation.
</b></li><li><b>Support the mentorship of junior data analyst colleagues.<br>
</b></li></ul><br>
<br>
<b>Minimum Qualifications
</b><br>
<ul><li><b>Bachelor&rsquo;s Degree.
</b></li></ul><ul><li><b>Five years of related experience.
</b></li></ul><ul><li><b>Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.<br>
</b></li></ul><br>
<br>
<b>Preferred Qualifications<br>
</b><br>
<p></p><ul><li><b>Master&rsquo;s Degree in Mathematics, Statistics, Data Science, Economics, Public Health, or a related field preferred.<br>
</b></li></ul><p></p><br>
<p><b>Technical Qualifications &amp; Specialized Certifications
</b></p><ul><li><b>Advanced knowledge of analysis software such as Power BI, Tableau, Excel.
</b></li><li><b>Understanding of relational and dimensional data models and structures.
</b></li><li><b>Experience working with querying tools such as SQL, Python, R Data.<br>
</b></li></ul><p></p><br>
<p><b>Technical Skills and Expected Level of Proficiency
</b></p><ul><li><b>Data Analysis - Developing
</b></li><li><b>Data Collection and Reporting - Developing
</b></li><li><b>Data Tools and Platforms - Developing
</b></li><li><b>Data Validation and Quality Assurance - Developing
</b></li><li><b>Information Gathering - Developing
</b></li><li><b>Oral and Written communications - Developing
</b></li><li><b>Project Management - Developing
</b></li><li><b>Strategic Thinking - Developing<br>
</b></li></ul><p></p><br>
<p><b><i>The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.<br>
</i></b></p><p></p><p><b>Classified Title: Sr. Data Analyst
</b><br>
<b>Role/Level/Range: ATP/04/PD
</b><br>
<b>Starting Salary Range: $62,900 - $110,100 Annually (Commensurate w/exp.)
</b><br>
<b>Employee group: Full Time
</b><br>
<b>Schedule: Monday to Friday: 8:30am &ndash; 5:00pm
</b><br>
<b>FLSA Status: Exempt
</b><br>
<b>Location: Hybrid/School of Public Health
</b><br>
<b>Department name: Health Economics
</b><br>
<b>Personnel area: School of Public Health</b></p></div><p></p>

Sr. Data Analyst (HPM - Health Economics)

<div><p>This position supports a portfolio of health policy and health economics research projects in collaboration with faculty at the Center for Mental Health and Addiction Policy, the Hopkins Housing and Health Collaborative, and the Hopkins Business of Health Initiative to manage, analyze, and interpret large healthcare datasets, including Medicaid, Medicare, commercial, and all-payer claims.<br>
</p><p></p><br>
<p>We are seeking a <b><i>Sr. Data Analyst </i></b>who will be responsible for developing, implementing, and managing a plan to translate data into insights. The Sr. Data Analyst will provide expertise in data analysis and illustrations to articulate and monitor programs, projects, and general business success. The Sr. Data Analyst will serve as a data consultant to the assigned area and to provide complex analysis and reporting on various outcomes.<br>
</p><p></p><br>
<p><b>Specific Duties &amp; Responsibilities
</b></p><ul><li>Align assessment strategy with strategic objectives and goals.
</li><li>Translate data into insights to be used to support positive and enhanced outcomes.
</li><li>Collaborate with leadership to plan and implement assessment activities, including consultation on data collection, data analysis, reporting of assessment outcomes, and using results to improve programs and services.
</li><li>Prepare an annual assessment report to summarize findings across the school/division.
</li><li>Lead the design of clean, impactful, user-friendly data visualizations supporting strategic goals.
</li><li>Communicate findings compellingly and visually through dashboards, reports, briefing decks, stories, scorecards, executive briefings, etc. for different audiences using software like Power BI and Tableau.
</li><li>Provide insights on data patterns and trends, make strategic recommendations from analysis.
</li><li>Design and build data visualizations from concept to data analysis to the final step of visualization, informed by principles of good data storytelling.
</li><li>Collect and analyze various complex data and information; in collaboration with others, perform statistical analysis and summarize findings inapplicable reports or other communication mediums.
</li><li>Use data visualization techniques to distill and clarify complex processes or data sets.
</li><li>Conduct quality assurance and review of all data visualizations to ensure accuracy, usability, and adherence to existing branding and style guidelines.
</li><li>Create and maintain a library or repository of analysis documents, slides, and links to dashboards.
</li></ul><ul><li>Work with leadership to develop an efficient system for planning and administering surveys to minimize survey fatigue and maximize the collection of actionable data.
</li></ul>Other duties as assigned.<br>
<ul><li>
</li></ul><p></p><br>
<p><i>In addition to the duties described above
</i></p><ul><li>Perform data intake and cleaning tasks on large administrative datasets (e.g., insurance claims).
</li><li>Use advanced statistical and programming software (e.g., SAS, Stata, SQL, R, Python) to conduct exploratory and hypothesis-driven data analysis.
</li><li>Solve complex data problems using appropriate methodologies for analyses (e.g., advanced regression modeling, econometrics).
</li><li>Collaborate with faculty on data visualizations, data interpretation, and manuscript preparation.
</li>Support the mentorship of junior data analyst colleagues.<br>
<li>
</li></ul><br>
<br>
<b>Minimum Qualifications
</b><br>
<ul><li>Bachelor&rsquo;s Degree.
</li><li>Five years of related experience.
</li>Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.<br>
<li>
</li></ul><br>
<br>
<b>Preferred Qualifications<br>
</b><br>
<p></p>Master&rsquo;s Degree in Mathematics, Statistics, Data Science, Economics, Public Health, or a related field preferred.<br>
<ul><li>
</li></ul><p></p><br>
<p><b>Technical Qualifications &amp; Specialized Certifications
</b></p><ul><li>Advanced knowledge of analysis software such as Power BI, Tableau, Excel.
</li><li>Understanding of relational and dimensional data models and structures.
</li>Experience working with querying tools such as SQL, Python, R Data.<br>
<li>
</li></ul><p></p><br>
<p><b>Technical Skills and Expected Level of Proficiency
</b></p><ul><li>Data Analysis - Developing
</li><li>Data Collection and Reporting - Developing
</li><li>Data Tools and Platforms - Developing
</li><li>Data Validation and Quality Assurance - Developing
</li><li>Information Gathering - Developing
</li><li>Oral and written communications - Developing
</li><li>Project Management - Developing
</li>Strategic Thinking - Developing<br>
<li>
</li></ul><p></p><br>
<p><i>The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.<br>
</i></p><p></p><p>Classified Title: Sr. Data Analyst
<br>
Role/Level/Range: ATP/04/PD
<br>
Starting Salary Range: $62,900 - $110,100 Annually (Commensurate w/exp.)
<br>
Employee group: Full Time
<br>
Schedule: Monday to Friday: 8:30am &ndash; 5:00pm
<br>
FLSA Status: Exempt
<br>
Location: Hybrid/School of Public Health
<br>
Department name: Health Economics
<br>
Personnel area: School of Public Health</p></div><p></p>

Sr. Data Analyst (HPM-Health Economics)

RELI Group Inc

<div><p><b>About Us:</b></p><p><i>
At RELI Group, our work is grounded in purpose. We partner with government agencies to solve complex challenges, improve public health, strengthen national security, and make government services more effective and efficient. Our team of over 500 professionals brings deep expertise and a shared commitment to delivering meaningful outcomes. Behind every solution is a group of experts who care deeply about impact&mdash;whether we&rsquo;re supporting data-driven decisions, modernizing systems or safeguarding critical progra</i><i>ms.</i></p><p><b>
Job Summary:</b>RELI Group is seeking a detail-oriented and highly analytical Data Analyst to support the Centers for Medicare &amp; Medicaid Services (CMS) Multidimensional Information Data Analytics System (MIDAS) Program. The Data Analyst will play a key role in transforming complex healthcare and operational data into meaningful insights that drive program decision-making, reporting, and modernization objectives.</p><p>
This role involves hands-on data analysis, dashboard and report development, data quality validation, and close collaboration with Data Engineers, Data Architects, Business Analysts, and QA teams within an AWS/Databricks-based environment.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Analyze large, complex datasets to identify trends, anomalies, and actionable insights across CMS healthcare and operational domains.</p></li><li><p>
Develop dashboards, visualizations, and reports using tools such as QuickSight, Tableau, or Power BI to support leadership and stakeholder decision-making.</p></li><li><p>
Translate business requirements into analytical specifications, data queries, and reporting logic.</p></li><li><p>
Write efficient SQL to query, validate, and profile data stored in AWS S3, Redshift, Delta Lake, and Databricks environments.</p></li><li><p>
Perform data quality assessments, reconciliation, and validation of ingestion and transformation pipelines.</p></li><li><p>
Partner with Data Engineers to refine transformation logic, metadata standards, and analytic datasets.</p></li><li><p>
Support monthly/quarterly reporting cycles, compliance-driven analytics, and FISMA/ARS 5.0 data needs.</p></li><li><p>
Document analysis methods, data definitions, data flows, and business rules in support of auditability and reproducibility.</p></li><li><p>
Participate in Agile ceremonies (Scrum, PI Planning, retrospectives) and collaborate across MIDAS scrum teams.</p></li><li><p>
Identify opportunities for automation, standardization, and optimization of analytics and reporting processes.</p></li></ul><ul><li><p>
Bachelor&rsquo;s degree in data-analytics, Statistics, Computer Science, Information Systems, or related field.</p></li><li><p>
4+ years of experience in analytical or business intelligence roles.</p></li><li><p>
Strong SQL experience performing data extraction, validation, and transformation.</p></li><li><p>
Demonstrated experience with data visualization tools such as QuickSight, Tableau, or Power BI.</p></li><li><p>
Hands-on experience analyzing datasets in cloud environments (AWS or Databricks preferred).</p></li><li><p>
Experience conducting data profiling, reconciliation, and root-cause analysis.</p></li><li><p>
Ability to translate business questions into analytical approaches and communicate findings clearly.</p></li><li><p>
Strong collaboration skills; able to work closely with technical and non-technical stakeholders.</p></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Experience supporting CMS programs or working with ACA, QHP, HICS, HIOS, or other healthcare datasets.</p></li><li><p>
Familiarity with Databricks notebooks, Delta Lake, Python, or PySpark for exploratory analysis.</p></li><li><p>
Experience with data governance, metadata management, or FISMA/ARS 5.0 reporting needs.</p></li><li><p>
Understanding of CMS TRA/TLC frameworks and Agile (SAFe) delivery methodologies.</p></li></ul><p><b>
Summary of Core Technologies:</b></p><ul><li><p>
SQL</p></li><li><p>
AWS (S3, Redshift, RDS, Glue)</p></li><li><p>
Databricks &amp; Delta Lake (for exploration and data validation)</p></li><li><p>
BI Tools: QuickSight, Tableau, Power BI</p></li><li><p>
Python (basic analytical use preferred)</p></li><li><p>
Agile / SAFe Analytics Delivery</p></li></ul><p></p><p>
</p><p><b>EEO Employer:</b></p><p>
RELI Group is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.</p><p><b>
HUBZone:</b></p><p>
We encourage all candidates who live in a HUBZone to apply. You can check to see if your address is located in a HUBZone by accessing the SBA HUBZone Map.</p><p>
The annual salary range for this position is $120,000.00 to $140,000.00. Actual compensation will depend on a range of factors, including but not limited to the individual&rsquo;s skills, experience, qualifications, certifications, location, other business and organizational needs, and applicable employment laws. The estimate displayed represents the typical salary range for this position and is just one component of the total compensation package for employees. RELI Group provides a variety of additional benefits to its employees. For additional details on the benefits that RELI Group offers click here.</p></div>

Sr Data Analyst

Disney Direct to Consumer

<div><h2 class="jobSectionHeader"><b>About Direct To Consumer (DTC)</b></h2><p>
The Advanced Measurement and Strategic Analytics Team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our stakeholders make informed, data-driven decisions to continue driving the Disney&rsquo;s Direct-to-Consumer Marketing strategy and growth. With our work, we aim to investigate end-to-end marketing trends and subscriber behaviors for global strategy, product, and promotional efforts across services including Bundle offerings, lifecycle, and first-party properties. In this role, the senior analyst within the Advanced Analytics sub-team will work closely with Marketing, Product, Data Science, Data Solutions, and other teams to not only provide high-visibility, in-depth insights on Marketing strategy and growth, but will become a true thought partner to our stakeholders, helping to craft strategy. The ideal candidate has a passion for using advanced analytics, including modeling, to solve complex business problems.</p><p></p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><p>
Work closely with stakeholders to define the most pressing business questions on Marketing growth trends and drivers and build analytical frameworks to answer these questions</p></li><li><p>
Help to craft an ongoing experimentation program, including hypothesis formulation, experimental design, significance-setting, and post-experiment analysis</p></li><li><p>
Perform holistic campaign lift analyses with causal-inference techniques and by developing novel approaches; identify and measure drivers of growth-tactic success; present findings to stakeholders and senior management</p></li><li><p>
Define and analyze audience segments to continue driving Disney&rsquo;s Direct-to-Consumer Marketing strategy and growth</p></li><li><p>
Partner with other Analytics teams to understand and harness all available marketing and subscriber data from disparate sources, uniting insights into a cohesive, actionable story</p></li></ul><p><br>
</p><h2 class="jobSectionHeader"><b>Basic Qualifications</b></h2><ul><li><p>
Bachelor&rsquo;s degree in Data Analytics, Mathematics, Statistics, or related degree</p></li><li><p>
5+ years of hands-on analytical work experience with R/Python/SAS (or another statistical analysis tool) and SQL</p></li><li><p>
Extensive, proven work experience with statistical modeling, machine learning, and other quantitative approaches, including but not limited to in-depth knowledge of linear and logistic regression, significance testing, data preparation for modeling, and segmentation techniques. Causal inference and propensity score matching experience a plus</p></li><li><p>
Expertise manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools</p></li><li><p>
Experience with creating, executing, and analyzing complex AB/MVT test constructs to test stakeholder hypotheses</p></li><li><p>
Experience with data visualization tools such as Tableau, Looker, etc.</p></li><li><p>
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations</p></li><li><p>
Strong presentation skills, including the abilities to tell a story with data and to synthesize findings into actionable recommendations</p></li><li><p>
Ability to think strategically, analyze and interpret market and consumer information</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience in the streaming media industry or other subscription-based service</p></li><li><p>
Experience working with Marketing teams or in the Marketing landscape</p></li></ul><p></p><p><b>
Additional Information</b></p><p></p><p>
#DISNEYTECH</p><p></p><p>
#DisneyAnalytics</p><br>
<p></p>
The hiring range for this position in New York, NY is $123,000.00 to $165,000.00 per year, and in Santa Monica, CA is $117,500.00 to $157,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div>

Mercury Insurance Company

<div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><p><b>Position Summary:</b><br>
The primary job function, under general supervision, is to work with the various functional areas (UW, Claims, Marketing, Advertising) in an effort to provide data-driven analysis of our many processes. This position will require a solid background of statistical concepts and statistical tools. The employee will conduct analysis using statistical techniques in order to extract information from data, which will be of value in process efficiency and product design. Employee must have a passion for problem solving, comfort with ambiguity and the ability to think conceptually, analytically and creatively, and will be expected to manage projects and program execution of high complexity</p><br>
</div></div></div><h2 class="jobSectionHeader"><b>Geo-Salary Information
</b></h2><div><div><div><div><b><i>An in-person interview may be required during the hiring process</i></b></div><div></div><div><br>
State specific pay scales for this role are as follows:</div><div>
$85,480 to $157,868 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)</div><div>
$77,709 to $143,516 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)</div><div>
$69,938 to $129,965 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)</div><div>
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><p><b>Essential Job Functions:</b></p><br>
<p></p><ul><li>
Analyzes data available and identify issues and opportunities in different business areas. Understands the processes in departments (UW, Claims, Marketing, Advertising, etc.).</li><li>
Creates statistical models to generate insights on different business issues and provide suggestion on approaches to problems.</li><li>
Lead small-scope project work and ad hoc analyses.</li><li>
Works with junior analysts and provide support/ mentoring during the projects.</li><li>
Lead the discussions with colleagues regarding analysis needs.</li><li>
Reviews the results with colleagues and managers as necessary.</li><li>
Supports projects by applying general knowledge of the business area processes, including best practices.</li><li>
Provides analysis to better understand implementation options for analytical models/ procedures and work closely with other groups through implementation processes.</li><li>
Retrieves data from various sources and prepares data for analysis.</li><li>
Reviews data for accuracy and revises methods of data retrieval when necessary.</li><li>
Prepares reports, graphs and charts based on research and analyses.</li><li>
Analyzes algorithms using intermediate SAS programming and MS Excel.</li><li>
Create procedures to streamline analysis procedures.</li><li>
Provides suggestions for process improvements and/or goal changes.</li><li>
Develops and designs presentations to show findings of analyses.</li><li>
Develops spreadsheets and tools for management use.</li><li>
Serves as a contact regarding various data.</li><li>
Communicates proactively, clear and consistently with SME's and Management in the various functional areas in order to understand each job function. Through this communication, the employee will be expected to increase the breadth of his/her understanding of the processes associated with these functions, and of the various KPl's that drive business results in each area and overall.</li><li>
Mentor junior analysts in the team provide training and support.</li><li>
Creates presentations breaking down problems identified, potential solutions.</li><li>
May attend management meetings to present findings and recommendations.</li><li>
Employee should have a strong background in creating and explaining meaningful graphs and also be skilled at assembling and presenting PowerPoint presentations.</li><li>
This specific role will focus on competitive analysis for our personal lines products, including data ingestion, scrubbing and analysis of internal and external competitive data. Creating robust dashboards and reports and sharing competitive position insights with cross-functional teams.</li></ul><br>
<p></p>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><p><b>Education:</b></p><ul><li>
Worker characteristics are normally acquired through the successful completion of a Bachelor's in an analytical concentration, such as math, statistics, economics, data science, engineering, etc. Master's Degree recommended.</li></ul><p><b>
Experience:</b></p><ul><li>
At least 5-7 years&rsquo; experience in property &amp; casualty insurance analytics, product development, competitive intelligence or equivalent combination of education and experience.</li></ul><p><b>
Knowledge and Skills:</b></p><ul><li>
Strong experience with SQL (Redshift, Postgre Sql) and DBT required.<br>
Develop and maintain dbt models and tests to standardize data transformations and enforce data quality.</li><li>
Strong experience with Github required. Github version-control experience preferred. Manage and version analytical code using Git and GitHub, including branching, pull requests, and code reviews</li><li>
Strong experience with Python required.</li><li>
Knowledge of statistics and general model building/ validation procedures required.</li><li>
BI &amp; Reporting Tools required</li><li>
Experience with machine learning preferred</li><li>
Knowledge of SAS, SPSS, and/or other statistical software preferred.</li><li>
Intermediate-level skills in MS Excel and MS Access required.</li><li>
Strong data skills and ability to work with massive datasets.</li><li>
Good problem solving skills required.</li><li>
Good analytical and critical thinking required.</li><li>
Good written and verbal communication skills required.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>About the Company
</b></h2><div><div><div><div><b><i>Why choose a career at Mercury?</i></b></div><div>
At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can&rsquo;t imagine a world without it.</div><div>
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.</div><div>
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.</div><div></div><div><br>
Learn more about us here: https://www.mercuryinsurance.com/about/careers</div>
</div></div></div><h2 class="jobSectionHeader"><b>Perks and Benefits
</b></h2><div><div><div><div><b><i>We offer many great benefits, including:</i></b></div><ul><li>
Competitive compensation</li><li>
Flexibility to work from anywhere in the United States for most positions</li><li>
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)</li><li>
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)</li><li>
Medical, dental, vision, life, and pet insurance</li><li>
401 (k) retirement savings plan with company match</li><li>
Engaging work environment</li><li>
Promotional opportunities</li><li>
Education assistance</li><li>
Professional and personal development opportunities</li><li>
Company recognition program</li><li>
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more</li></ul><div>
Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Pay Range
</b></h2><div><div><div>USD $85,479.00 - USD $157,868.00 /Yr.</div></div></div></div>

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