data analyst

Health Insurance Alliance LLC

<div><div>Position: Data Analyst</div><div>
Location: In office, Located in Fort Lauderdale, FL</div><div>
Status: Full Time, W2</div><div>
Dress code: Business Casual, Casual Fridays</div><h2 class="jobSectionHeader">
About Us</h2><div>
Health Insurance Alliance (HIA) is looking for a highly motivated Data Analyst to join our dynamic team. We are a rapidly growing technology focused Insurance sales company whose employees maintain a competitive nature and a desire to succeed above all.</div><div></div><div><br>
Our philosophy is to provide a quality service to our clients, offering an easy and seamless experience from start to finish. We compassionately strive to take all of our client&rsquo;s needs into consideration, which helps lead us to having a well-rounded understanding of who they are and what they want, so we can offer them the highest level of quality healthcare products out there.</div><div></div><div><br>
At HIA, we recognize that our most valuable asset is our people. We prioritize creating an inclusive and diverse workforce, where every individual feels valued, respected, and empowered.</div><div></div><div><br>
As a Data Analyst, you will play a critical role in optimizing performance across our health insurance agency by gathering, analyzing, and reporting key data metrics. This role supports leadership in making data-driven decisions to improve agent productivity, sales conversion rates, lead quality, compliance tracking, and operational efficiency.</div><div></div><div><b><br>
The Opportunity</b></div><ul><li><p>
Developing, implementing, and optimizing operational processes to streamline workflow and projects.</p></li><li><div>
Monitoring and evaluating existing processes to identify areas for improvement and efficiency gains.</div></li><li><div>
Building dashboards and reports to support sales leadership and QA initiatives.</div></li><li><div>
Implementing strategies to enhance Sales, CSR, QA operations to ensure prompt and efficient handling of inquiries and concerns.</div></li><li><div>
Implementing quality assurance processes to ensure the accuracy and completeness of insurance documentation.</div></li><li><div>
Analyzing operational data to identify trends and areas for improvement.</div></li><li><div>
Preparing regular reports for management, highlighting key performance indicators and operational metrics in a timely manner.</div></li><li><div>
Working closely with operations, sales, and QA teams to identify and close performance gaps.</div></li><li><div>
Ensuring compliance with insurance regulations and industry best practices to mitigate any potential operating costs.</div></li><li><div>
Collaborating with the IT Department to evaluate and implement technology solutions to improve operational efficiency.</div></li><li><div>
Ensuring adherence to industry regulations and compliance standards.</div></li><li><p>
Supporting any ad hoc projects to enhance operational efficiency.</p></li></ul><p></p><div><b><br>
What you bring to the table</b></div><ul><li><p>
You have a bachelors degree in Data Analytics/ Business Administration or similar, with progressive experience as a Data Analyst within an Operations function.</p></li><li><div>
You have a strong analytical mindset with experience in call center or health insurance operations.</div></li><li><div>
You are a demonstrated expert in Excel/ Google Suite (including advanced functions, pivot tables, visualization, and report generation) and are able to pull reports and analyze data from any database or reporting software.</div></li><li><div>
You are familiar with call center software, such as Verint, Five9, and Leads Bunker for reporting.</div></li><li><div>
You have strong analytical and problem-solving skills with the ability to interpret complex data and provide clear, actionable insights and recommendations.</div></li><li><p>
You have efficient verbal and written communication skills, with the ability to present findings to stakeholders at all levels and break down complex concepts to others.</p></li></ul><p></p><div><b><br>
Location &amp; Hours</b></div><ul><li><div>
Our office is located in Fort Lauderdale, Florida. We are looking for someone that can commute to our office daily.</div></li><li><p>
Typical hours of operation will be from 9 AM-5 PM, Monday-Friday. Possible extended hours during enrollment period.</p></li></ul><div></div><div><b><br>
Compensation</b></div><div>
Salary Range: $60k-70k USD annually</div><div></div><div><b><br>
Benefits</b></div><ul><li><div>
Competitive Compensation</div></li><li><div>
15 days accrued PTO per calendar year</div></li><li><div>
Group Health, Dental, Vision Insurance after 3 month Probationary Period (Optional)</div></li><li><div>
401K + Matching Program after 3 month Probationary Period (Optional)</div></li><li><div>
Great Career development opportunities</div></li><li><p>
Weekly Team Lunches</p></li></ul><p></p><div><b><br>
The Interview Process</b></div><div>
Round 1: Phone screen with our HR Department.</div><div>
Round 2: In-person interview with George Papadakis (COO)</div><div>
&gt; Conduct references and background check</div><div>
&gt; Offer</div><div></div><div><b><br>
How We Hire</b></div><div>
HIA is committed to a fair and equitable hiring process for all candidates. To ensure that each candidate&rsquo;s journey is consistent and the selection process is unbiased, the team at HIA will not be responding to any personal messages regarding this role or other opportunities.</div><div></div><div><br>
HIA is a proud equal opportunity workplace that is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.</div><div></div><div><br>
HIA is committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application or email hrhr@fuegoleads.io.</div></div><p></p>

Data Analyst

Styli

<div>
 <p>
  Data Analyst
 </p>
 <p>
  Location: Bangalore
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About STYLI
  </strong>
 </p>
 <p>
  STYLI is an e-commerce brand founded in 2019 by Landmark Group, emerging as one of the largest fashion and beauty platforms in the GCC and India. With a strong focus on trendy, affordable fashion and beauty products, STYLI brings over 40,000 styles to men, women, kids, and beauty enthusiasts, offering them the latest global trends delivered directly to their doorsteps.
 </p>
 <p>
  Our vision is to be the most aspirational value fast fashion and lifestyle destination, delivering seamless service excellence. We aim to create personalized experiences, engaging customers across all touchpoints, and continually expanding our curated selection to meet their evolving need states. STYLI has quickly become a leading player in the e-commerce fashion space across the GCC - Saudi Arabia, UAE, Bahrain, and Kuwait and in India
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We are seeking a Data Analyst who is passionate about using advanced analytics to solve business and product challenges. You will work across teams to build models, forecasts, and optimization tools that drive smarter decision-making and operational efficiency.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities
 </p>
 <p>
  &bull; Write complex SQL queries to analyze large datasets across product, operations, and customer domains.
 </p>
 <p>
  &bull; Build forecasting models for demand, supply, and operational KPIs.
 </p>
 <p>
  &bull; Conduct regression and statistical analyses to understand key performance drivers.
 </p>
 <p>
  &bull; Support optimization of pricing, promotions, and inventory with analytical models.
 </p>
 <p>
  &bull; Create dashboards and reports to enable self-serve analytics across teams.
 </p>
 <p>
  &bull; Work closely with business and product stakeholders to deliver actionable insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Qualifications
 </p>
 <p>
  &bull; 3&ndash;5 years&rsquo; experience in Data Analytics or a related role.
 </p>
 <p>
  &bull; Strong SQL and Excel skills; experience with BI tools (Looker, Tableau, PowerBI).
 </p>
 <p>
  &bull; Knowledge of regression, forecasting, and optimization techniques.
 </p>
 <p>
  &bull; Exposure to ML concepts is a plus (e.g., scikit-learn, Python/R).
 </p>
 <p>
  &bull; Strong problem-solving skills and business acumen.
 </p>
</div>


Esire

<div><p><b>Job Summary:</b><br>
We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate should have 1 to 2 years of professional experience in data analysis, with strong command over Power BI, Excel, and SQL. This role will be pivotal in managing, analyzing, and visualizing all data to support informed decision-making and process optimization.<br>
<br>
<b>Key Responsibilities:</b></p><br>
<ul><li>
Collect, clean, and analyze all data from various sources (logistics, inventory, vendor performance, etc.).<br>
</li><li>
Develop and maintain interactive dashboards and reports using <b>Power BI</b>.<br>
</li><li>
Write complex <b>SQL queries</b> to extract and manipulate large datasets from multiple systems.<br>
</li><li>
Perform data reconciliation, validation, and ensure data accuracy across sources.<br>
</li><li>
Generate actionable insights and trends to improve forecasting, inventory management, and operational efficiency.<br>
</li><li>
Work closely with all cross-functional teams to identify business needs and support data-driven strategies.<br>
</li><li>
Automate recurring reports and streamline data workflows using <b>Excel</b> and Power Query.</li></ul><p><b><br>
Requirements:</b></p><br>
<ul><li>
Bachelors degree<br>
</li><li>
1 to 2 years of hands-on experience in a Data Analyst role.<br>
</li><li>
Proficiency in <b>Power BI</b> (DAX, dashboard creation, data modeling).<br>
</li><li>
Strong skills in <b>Microsoft Excel</b> (pivot tables, advanced formulas, Power Query).<br>
</li><li>
Proficient in <b>SQL</b> (writing, debugging, and optimizing queries).</li></ul></div>

<div>
 <strong>
  Job Summary:
  <br/>
  <br/>
 </strong>
 We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate should have 1 to 2 years of professional experience in data analysis, with strong command over Power BI, Excel, and SQL. This role will be pivotal in managing, analyzing, and visualizing all data to support informed decision-making and process optimization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, and analyze all data from various sources (logistics, inventory, vendor performance, etc.).
  </li>
  <li>
   Develop and maintain interactive dashboards and reports using Power BI.
  </li>
  <li>
   Write complex SQL queries to extract and manipulate large datasets from multiple systems.
  </li>
  <li>
   Perform data reconciliation, validation, and ensure data accuracy across sources.
  </li>
  <li>
   Generate actionable insights and trends to improve forecasting, inventory management, and operational efficiency.
  </li>
  <li>
   Work closely with all cross-functional teams to identify business needs and support data-driven strategies.
  </li>
  <li>
   Automate recurring reports and streamline data workflows using Excel and Power Query.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors degree
  </li>
  <li>
   1 to 2 years of hands-on experience in a Data Analyst role.
  </li>
  <li>
   Proficiency in Power BI (DAX, dashboard creation, data modeling).
  </li>
  <li>
   Strong skills in Microsoft Excel (pivot tables, advanced formulas, Power Query).
  </li>
  <li>
   Proficient in SQL (writing, debugging, and optimizing queries).
   <br/>
  </li>
 </ul>
</div>


<div><div><p><b>Summary:</b></p>
<p>
We're looking for a meticulous and driven IT Data Analyst to join our central Enterprise Data organization. In this role, you'll be the crucial link between our technical data teams and our business stakeholders. You will ensure that the data flowing through our ecosystem is accurate, well-governed, and perfectly structured to power cutting-edge analytics, machine learning (ML), and AI initiatives. You will play a key part in transforming raw data into reliable, enterprise-wide assets.</p>
<p>
</p><p><b>Duties and Responsibilities:</b></p>
<ul>
<li>Requirements Gathering &amp; Analysis: Collaborate with business analysts, data scientists, and ML engineers to understand their data needs. Translate complex business questions into detailed technical requirements for data sourcing, transformation, and modeling.</li>
<li>Data Sourcing &amp; Profiling: Investigate and document source systems. Perform in-depth data profiling to understand data structures, relationships, and quality issues. You'll be the expert who knows what the data really means.</li>
<li>Data Quality &amp; Governance: Implement and monitor data quality rules and metrics. Work with data stewards to resolve data anomalies and manage metadata, data lineage, and business glossaries within our data governance framework.</li>
<li>Data Warehousing &amp; SQL: Write SQL queries to explore and to validate data in our enterprise data warehouse. Assist data engineers in documenting and validating data objects to ensure they meet business needs.</li>
<li>Project Collaboration: Serve as the primary data subject matter expert (SME) on cross-functional projects, ensuring data integrity and providing critical insights throughout the project lifecycle.</li>
<li>Testing &amp; Validation: Develop and execute detailed test plans to ensure data accuracy.
</li></ul><p></p><p><b>Qualifications &amp; Skills:</b></p>
<p><b>
Required:</b></p>
<ul>
<li>3+ years of experience in a data analyst, business intelligence analyst, or similar role.</li>
<li>Proficiency using SQL, data orchestration, and monitoring tools in addition to IT ticketing systems.
</li><li>Solid understanding of data warehousing concepts (e.g., dimensional modeling, star schemas) and ETL/ELT processes.</li>
<li>Hands-on experience with at least one major data visualization tool (e.g., Power BI, Tableau, Looker, Excel).</li>
<li>Demonstrated ability to translate business requirements into technical specifications.</li>
<li>Exceptional analytical, problem-solving, and communication skills with an ability to speak to both technical and non-technical audiences.</li>
<li>Bachelor&rsquo;s degree in Business, Computer Science, Information Systems, or business-related experience.
</li></ul><p></p><p><b>Preferred:</b></p>
<ul>
<li>Experience with a cloud data platform like Snowflake, Google BigQuery, AWS Redshift, or Databricks.</li>
<li>Working knowledge of SQL and programming languages for data analysis.</li>
<li>Familiarity with data governance principles and tools (e.g., Collibra, Alation, Data Catalog).</li>
<li>Exposure to the data requirements of machine learning and AI models.</li>
<li>Experience working in an Agile/Scrum development environment.</li></ul></div><div><br>
<div>
<br>
</div><div><b><i>ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more.</i></b></div></div></div><div></div>

MASTER-WORKS

<div><p>Master-Works is excited to announce an opening for a Data Analyst to join our innovative and collaborative team. In this position, you will play a pivotal role in analyzing data to help guide strategic decisions and improve business operations. Your analytical insights will be critical in fostering a data-driven culture within the organization.</p><p><b>
Key Responsibilities:</b></p><ul>
<li>Gather and analyze data from a variety of sources to make informed business recommendations.</li>
<li>Design and create comprehensive dashboards and reports to visualize key metrics and performance indicators.</li>
<li>Partner with cross-functional teams to understand their data requirements and deliver impactful data solutions.</li>
<li>Utilize statistical techniques to identify trends, patterns, and relationships within datasets.</li>
<li>Communicate analysis results and insights to management and other stakeholders in an understandable manner.</li>
<li>Ensure data accuracy and integrity by implementing rigorous data validation processes.</li>
<li>Stay updated on industry trends and emerging technologies in data analysis and apply them where appropriate.</li>
</ul><p><b>Requirements</b></p><ul>
<li>A Bachelor's degree in Data Science, Mathematics, Statistics, or a related field.</li>
<li>A minimum of 2-3 years of experience in a Data Analyst role or similar.</li>
<li><b>Nationality:</b> Saudi.</li>
<li>Strong proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI.</li>
<li>Excellent analytical and problem-solving skills, with a strong attention to detail.</li>
<li>Experience in statistical analysis and familiarity with data modeling techniques.</li>
<li>Strong communication skills with the ability to present complex data insights to non-technical audiences.</li>
<li>A team-oriented individual who thrives in a collaborative environment.</li></ul></div>

Data Analyst.

Esire Inc

<p><b>Job Summary:</b><br/>We are seeking a skilled and detail-oriented <b>Data Analyst</b> to join our team. The ideal candidate should have 1 to 2 years of professional experience in data analysis, with strong command over <b>Power BI</b>, <b>Excel</b>, and <b>SQL</b>. This role will be pivotal in managing, analyzing, and visualizing all data to support informed decision-making and process optimization.</p><p><b>Key Responsibilities:</b></p><ul><li>Collect, clean, and analyze all data from various sources (logistics, inventory, vendor performance, etc.).</li><li>Develop and maintain interactive dashboards and reports using <b>Power BI</b>.</li><li>Write complex <b>SQL queries</b> to extract and manipulate large datasets from multiple systems.</li><li>Perform data reconciliation, validation, and ensure data accuracy across sources.</li><li>Generate actionable insights and trends to improve forecasting, inventory management, and operational efficiency.</li><li>Work closely with all cross-functional teams to identify business needs and support data-driven strategies.</li><li>Automate recurring reports and streamline data workflows using <b>Excel</b> and Power Query.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree</li><li>1 to 2 years of hands-on experience in a Data Analyst role.</li><li>Proficiency in <b>Power BI</b> (DAX, dashboard creation, data modeling).</li><li>Strong skills in <b>Microsoft Excel</b> (pivot tables, advanced formulas, Power Query).</li><li>Proficient in <b>SQL</b> (writing, debugging, and optimizing queries).</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

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