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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>

Aristocrat

<div><p>This position is responsible for providing insights and analysis to business partners. The role combines technical expertise with the ability to understand business needs to get results. The individual will be multifunctional and assist in data projects from conceptualization to delivery. This position requires a creative approach and detailed understanding of data presentation and dashboard development.</p><p></p><p><b>
What You'll Do
</b></p><ul><li><p>Collaborate with multi-functional teams to identify needs and provide valuable solutions</p></li><li><p>
Translate sophisticated data and ambiguous requests into clear actionable insights and recommendations</p></li><li><p>
Analyze large datasets to uncover trends, patterns and opportunities.</p></li><li><p>
Develop &amp; support business intelligence solutions and applications, including reports, dashboards, and datasets</p></li><li><p>
Develop visualization to make large and/or sophisticated data more accessible, understandable, and usable</p></li><li><p>
Translate business requirements into technical solutions</p></li><li><p>
Capable of handling multiple projects while keeping partners informed of progress</p></li><li><p>
Partner with multiple teams to ideate projects and deliver through an iterative process</p></li></ul><p></p><p><b>
What We're Looking For
</b></p><ul><li><p>Bachelor's degree in business, marketing, or related field and 10+ years of experience, or a combination of both preferred</p></li><li><p>
3+ years Analytics</p></li><li><p>
Proven hands-on experience with data presentation and analysis</p></li><li><p>
Experience with data visualization tools and in developing, maintaining, and handling dashboards</p></li><li><p>
Data visualization tools including Tableau, Qlik or Power BI</p></li><li><p>
Experience with database interface tools, SQL, and programming concepts</p></li><li><p>
Operational experience with data warehouses, enterprise systems and large-scale reporting tools</p></li><li><p>
Knowledge and understanding of forecasting and modeling</p></li><li><p>
Ability to communicate findings to team members concisely</p></li><li><p>
Teamwork, interpersonal and relationship skills.</p></li><li><p>
Ability to work autonomously through ambiguous requests and multifaceted environment</p></li></ul><p></p><p><b>
Why Aristocrat?</b></p><p></p><p>
Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We&rsquo;re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.</p><p></p><p>
We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V</p><ul><li><p>
World Leader in Gaming Entertainment</p></li><li><p>
Robust benefits package</p></li><li><p>
Global career opportunities</p></li></ul><p></p><p><b>
Our Values</b></p><ul><li><p>
All about the Player</p></li><li><p>
Talent Unleashed</p></li><li><p>
Collective Brilliance</p></li><li><p>
Good Business Good Citizen</p></li></ul><p></p><p><b>
Travel Expectations</b></p>
None<p></p><p><b>
Pay Range</b></p>
$87,082 - $161,723 per year<p></p><p>
Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity.</p><p></p><p>
This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at https://atibenefits.com/.</p><p></p><p><b>
Additional Information</b></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><i>
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.</i></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Sr. Data Analyst

Victoria's Secret

<div><div><b>Description</b><p></p><div><p><b>
Senior Investigative Analyst</b></p><p>
The Senior Investigative Analyst (Sr. IA) is a highly dependable position in the Asset Protection Department. The Sr. IA is responsible for reducing shrink through the identification and development of internal/external theft investigations managing the restitution procedures and vendor partnership and supporting background checks adjudication.</p><p>
The Sr. IA needs to be analytical and detail oriented. The role requires the ability to transition from daily tasks to managing ad-hoc requests by the leadership and field team members with agility and speed to meet deadlines.</p><p>
The Sr. IA will maintain a peer mentorship traveling as needed, to visit stores, attended industry conferences as directed, enhance product knowledge, and develop business acumen through such partnerships. In addition, the Sr. IA will assist and support multiple vendor partnerships in the areas of exception-based reporting, restitution, and background checks.</p><p>
The Sr. IA must have strong customer services skills and be able to manage workload to complete tasks with minimal supervision at times. The Sr. IA must be able to analyze data from multiple sources and consistently building new/refining existing reports. The Sr. IA needs to be self-motivated to challenge themselves by developing new skills, leverage emerging technologies, and act as leader within the Asset Protection Operations Team. The Sr. IA needs to be willing to make recommendations or call outs based on the analysis trends and results. The Sr. IA reports to the Senior Manager of Asset Protection Analytics, working a hybrid schedule with a minimum of three days in office per week.</p><p><b>
Why You Belong Here</b></p><p>
At Victoria&rsquo;s Secret &amp; Co, you&rsquo;ll join a world-leading specialty retail brand recognized globally for innovation and excellence in lingerie and fashion. You&rsquo;ll work alongside industry leaders to set the standard for what a retail brand can achieve, placing customers at the center of everything we do to create products and experiences that bring them joy.</p><p>
We believe everyone deserves a place where they truly belong. We celebrate individuality and know that your passion, experience, and unique perspective strengthen our team and business. Here, you&rsquo;ll be empowered to perform, grow, and engage through unmatched opportunities to develop your skills, gain real-world experience, and learn from the best in the business.</p><p><b>
Essential Functions/Core</b> Responsibilities:
</p><ul><li>Shrink reduction and prevention.</li><li>Internal/external case identification and development.</li><li>Data/trend analysis (POS, Internal Investigations, RFID, and background checks).</li><li>Restitution/collections (reporting, field compliance, and vendor partnerships).</li><li>Background check support.</li><li>Other duties as assigned.</li></ul><p>
The Sr. IA will work on special projects involving various teams within the Asset Protection Department. The Sr. IA analyst will collaborate with members across the Asset Protection team as well as other cross-functional partners in the company.</p><p>
Click here for benefit details related to this position.</p></div></div><p></p><div><b>
Minimum Salary:</b> $58,000.00<br>
<b>Maximum Salary:</b> $76,125.00</div><p></p><div><p>
VS&amp;Co provides a range of compensation for this role as shown. Your actual salary will be determined by a number of factors, including: your specific skills and experience, geographic region, or other relevant factors.</p></div><div><b>
Qualifications</b><p></p><p><b>
Your Experience</b></p><ul><li>
7-10 years of relevant work experience in retail or asset protection.</li><li>
5 years&rsquo; experience conducting retail investigations with a focus on internal/external theft and ORC.</li><li>
2 years&rsquo; experience of managing complex projects and vendor partnerships.
</li><li>Advanced understanding of POS analysis, inventory systems, case management software, and exception-based reporting.</li><li>
Experience managing and/or system administration support of AP software.</li><li>
Proficient in Microsoft Office (i.e., Excel, PowerPoint, Outlook).</li><li>
Strong team leadership, relationship building cross-functional partnership.</li><li>
Excellent organizational, verbal, and written communication skills.</li><li>
Must be able to work onsite Tuesday, Wednesday, and Thursday.</li><li>
Must be able to travel quarterly to stores for special projects</li></ul><p>
#LI-WM1</p><p>
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws. Please see links: California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Philadelphia Fair Chance Law, San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance
</p><p>An equal opportunity employer, we do not discriminate in hiring or terms and conditions of employment because of an individual&rsquo;s race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status or any other protected category recognized by state, federal or local laws. We only hire individuals authorized for employment in the United States.</p></div></div><p></p>

Sr Investigative Analyst

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