data analyst

Amphenol

<p></p><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Location:</b></p><b> </b></div></div><div>Hamden, Connecticut
</div></div><br>
<div><div><div><p><b>Posted:</b></p><b> </b></div></div><div>4/20/2026
</div></div><br>
<div><div><div><p><b>Location Name:</b></p><b> </b></div></div><div>Hamden
</div></div><br>
</div></div></div><div><div><div><div><div><div><p><b>Wage:</b></p><b> </b></div></div><div>Depends on Experience<br>
</div></div><br>
<br>
</div></div></div></div></div><p></p><div><div><div><p>Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world&rsquo;s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.</p><br>
</div></div></div><p></p><div><div><div><p><b>Position Summary: </b>Data Analyst</p>
<p><b>Location: </b>Hamden, CT</p>
<p>Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEM&rsquo;s globally. Our global headquarters is located in Nashua, NH and we have design, sales and manufacturing locations globally. We are currently seeking a Data Analyst who will be responsible for the processing, interpretation and reporting of test data generated from Signal Integrity Testing and manufacturing processes.</p>
<p><b>RESPONSIBILITIES:</b></p>
<p> The Data Analyst develops and maintains data collection and analysis systems, produces tiered reporting for both executive audiences and deep technical investigations, and supports root cause analysis (RCA) and corrective action (CA) programs with quantitative evidence.</p>
<ul><li>Evaluate test results against defined specifications and compliance thresholds.</li>
<li>Identify trends, anomalies, and outliers using statistical methods.</li>
<li>Develop, maintain, and enhance Python-based or similar data processing applications for test automation and analysis workflows.</li>
<li>Build and deploy standalone executable tools for distribution to engineering and operation teams and create GUI-based applications for interactive data visualization, automated folder watching, and batch processing of test files.</li>
<li>Establish standardized data formats and naming conventions to ensure consistency across all global locations.</li>
<li>Produce executive summary reports presenting key KPIs, yield metrics, and trends in a concise, visually clear format suitable for management review.</li>
<li>Develop in-depth analytical reports for engineering root cause investigations, including detailed statistical breakdowns, and failure mode characterization.</li>
<li>Correlate electrical test data with process parameters, materials, and manufacturing variables to identify contributing factors.</li>
<li>Develop statistical models and regression analyses to assess the impact of process changes on signal integrity and process performance.</li>
</ul>
<p><b>QUALIFICATIONS:
</b></p><ul><li>Bachelor&rsquo;s degree required in one of the following disciplines:
<ul><li>Electrical Engineering, Computer Engineering/Science, Mathematics, or Statistics</li>
</ul></li><li>Experience generating technical reports for both executive and engineering audiences</li>
<li>Proficiency in Python or similar software required</li>
<li>Proficiency in statistical methods and analysis and data visualization</li>
<li>Minimum 3 years of relevant experience in data analysis or a related technical field</li>
</ul>
</div></div></div><div><div><div><p>Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.</p>
<p>Amphenol is an &ldquo;Equal Opportunity Employer&rdquo; - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/</p></div></div></div></div></div></div></div><div></div>

Data Analyst

NextGen | GTA: A Kelly Telecom Company

<div>
 <p>
  <strong>
   Position Overview
  </strong>
 </p>
 <p>
  We are seeking a highly skilled
  <strong>
   Data Analyst
  </strong>
  to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 </p>
 <p>
  The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Work with data engineers, business analysts, and stakeholders to define data requirements.
  </li>
  <li>
   Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
  </li>
  <li>
   Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
  </li>
  <li>
   Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
  </li>
  <li>
   Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
  </li>
  <li>
   Use statistical techniques to interpret data, identify patterns, and predict trends
  </li>
  <li>
   Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
  </li>
  <li>
   Make recommendations to improve processes, workflows, and automation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills and Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    3+ years work experience
   </strong>
   in a data analyst or equivalent role
  </li>
  <li>
   <strong>
    Functional Experience:
   </strong>
   Supporting sales organizations and working with sales data, customer accounts data, and revenue data
  </li>
  <li>
   <strong>
    CRM
   </strong>
   : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
  </li>
  <li>
   <strong>
    BI
   </strong>
   : Experience with BI Tools such as Power BI or Tableau
  </li>
  <li>
   <strong>
    Data Analysis:
   </strong>
   Ability to analyze data structures and interpret complex datasets.
  </li>
  <li>
   <strong>
    Analytical Skills:
   </strong>
   Strong mathematical skills to gather, measure, and analyze data.
  </li>
  <li>
   <strong>
    Technical Skills:
   </strong>
   Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
  </li>
  <li>
   <strong>
    Database Knowledge:
   </strong>
   Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
  </li>
  <li>
   <strong>
    Soft Skills:
   </strong>
   Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
  </li>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
  </li>
 </ul>
 <p>
 </p>
</div>


University of Louisiana at Lafayette

<div><p><b>Position Title</b>: Data Analyst</p><p><b>
Department</b>: 9261|Kathleen B Blanco Public Policy Ctr</p><p><b>
Responsibilities</b>:</p><p><b><br>
Data Analyst</b><br>
The Kathleen Blanco Public Policy Center at the University of Louisiana at Lafayette is an independent, interdisciplinary research center and archive engaged in research across a range of topics in public policy. Our core policy areas of focus include education, poverty and economic opportunity, criminal justice reform, health and healthcare, the coast and environment, and governmental ethics.</p><p><b>
Responsibilities:</b><br>
The Data Analyst is a staff researcher who is expected to support research efforts at the intersection of data analysis and public policy. A successful Data Analyst will provide leadership for data-intensive research projects and contribute to other projects that need advanced data analysis. The Data Analyst will help support grant and other funding opportunities that will help expand the Center's capacity for research. In their work at the center, the Data Analyst will collaborate with other members of the Blanco Center team as well as researchers across campus and beyond.</p><p><b>
Essential Functions:</b></p><ul><li>
Provide technical support across a range of research projects</li><li>
Manage research tasks including timelines to complete interim steps and contribute toward overall project completion, ensuring timely completion of major milestones and project deliverables</li><li>
Manage, organize, summarize, and visualize data using R</li><li>
Interpret/prepare data and draft narrative material for incorporation into research reports, both for public consumption and for use in the Blanco Center&rsquo;s research and publications</li><li>
Provide constructive recommendations on design and implementation of research projects to senior members of the Blanco Center staff</li><li>
Support efforts to secure new research</li><li>
Participate in virtual and in-person meetings with external partners and research sponsors</li></ul><p></p><p><b>
Qualifications:</b></p><p><b><br>
Required Qualifications</b>:<br>
Bachelor&rsquo;s degree in Statistics, Economics, Political Science, Sociology, Urban Planning, Quantitative Social Sciences, Biostatistics, or a related field, and 3-5 years of related work experience. A graduate degree in a related field will substitute for 3-5 years of experience.<br>
<br>
<b>Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s degree in Statistics, Economics, Political Science, Sociology, Urban Planning, Quantitative Social Sciences, Biostatistics, or a related field</li><li>
Previous coursework and research experience in at least one Blanco Center priority policy area</li><li>
Experience working with R, Python, Tableau, Power BI, STATA, and/or ArcGIS are preferred</li><li>
Demonstrated creativity in problem solving, self-motivation, and ability to work collaboratively in teams</li>
Exceptional written and oral communication skills, analytical skills, and familiarity with a range of computer software (including but not limited to Microsoft Office)<br>
<li>
<br>
</li></ul><p></p><p><b>Job Ad# </b>(req4443)</p></div>

Hero

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Hero Middle East &amp; Africa (MEA) is a Swiss-origin company based in Egypt, serving 40+ countries in the Middle East &amp; Africa region. As the regional export hub, we have the largest jam manufacturing factory in the area and a workforce of 1200+ highly qualified employees. Our diverse product range includes Jams, Syrups, Juices, Honey, Peanut Butter, and sourced Baby food and Baby milk from our group factories in Turkey &amp; Europe.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the job
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Data Analyst to support our logistics team with clear and actionable insights. If you are passionate about data and improving operations , we&rsquo;d love to hear from you.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Maintain master data and ensure accuracy, consistency, and data integrity.
  </li>
  <li>
   Analyze data and prepare reports to support operational and management decision-making.
  </li>
  <li>
   Monitor departmental KPIs, budgets, and performance metrics.
  </li>
  <li>
   Generate reports from multiple systems and support continuous reporting improvements.
  </li>
  <li>
   Assist in tracking and analyzing logistics and operational performance.
  </li>
  <li>
   Support cross-functional teams with data insights to enhance planning and efficiency.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, Business Administration, or Supply Chain/Logistics.
  </li>
  <li>
   0&ndash;2 years of experience in data analysis, preferably within logistics or supply chain operations.
  </li>
  <li>
   Proficiency in Microsoft Office, with advanced Excel skills for data analysis and reporting.
  </li>
  <li>
   Experience in data visualization and dashboard creation using Power BI or similar tools.
  </li>
  <li>
   Basic working knowledge of SQL, Python, Tableau, or similar data analysis tools.
  </li>
  <li>
   Familiarity with SAP ERP is a plus.
  </li>
  <li>
   Basic understanding of warehouse and logistics operations is an advantage.
  </li>
 </ul>
 <p>
 </p>
</div>


Veriforce

<div>
 <strong>
  Department:
 </strong>
 Finance
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Covington, Louisiana
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 $100,000 - $120,000 / year
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 At Veriforce, we help companies in high-risk industries keep their people, worksites, and supply chains safe and compliant. As a global leader in contractor and supply chain risk management, our SaaS platform simplifies contractor onboarding, credentialing, and compliance while providing powerful analytics and insights. Beyond software, we offer expert support, training, and consulting so our clients can operate with confidence. Together, we&rsquo;re making workplaces safer every day.
 <br/>
 <br/>
 As our business scales and our product portfolio becomes more sophisticated, we are looking for a detail-obsessed Data Analyst to ensure our internal data is complete, accurate, and trustworthy. This is a great opportunity for someone with a sharp analytical mindset who&rsquo;s eager to dive into complex datasets and partner closely with business leaders in a growing SaaS/tech company backed by Apax Partners.
 <br/>
 <br/>
 <strong>
  What That Means Day-to-day
  <br/>
  <br/>
 </strong>
 The data analyst will play a key role in supporting data-driven decision-making across the organization by analyzing business performance, contractor behavior, and data integration.
 <br/>
 <br/>
 This role is responsible for collecting and analyzing data from multiple systems, including CRM platforms, Billing Systems (Zuora), financial Systems (NetSuite), and product analytics tools to generate insights that drive growth, operational efficiency, and improved contractor outcomes. The data analyst will monitor and analyze core metrics to help leadership understand business performance and identify opportunities for improvement.
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain dashboards and reports for leadership using tools such as Power BI and Alteryx
  </li>
  <li>
   Help automate the current manual reporting
  </li>
  <li>
   Deepen analysis of contractor data to identify key drivers for churn or expansion
  </li>
  <li>
   Support forecasting and budgeting processes with data insights
  </li>
  <li>
   Analyze key business metrics to provide deeper insights into the business
  </li>
  <li>
   Work with teams to ensure data integrity and consistency
  </li>
  <li>
   Translate complex data into clear insights and recommendations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Be Successful
  <br/>
  <br/>
 </strong>
 The ideal candidate brings strong data fundamentals, thrives in ambiguity, and has the technical horsepower to work with complex datasets while maintaining business acumen to influence senior leaders. This person is a highly detail-oriented self-starter who can balance precision and speed in a fast-paced environment, manage competing priorities independently, and collaborate effectively with others through strong interpersonal skills.
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of data analytics experience with demonstrated expertise in SQL, Power Query or Alteryx, PowerBI and Excel skills, preferably in high-growth or PE-backed companies
  </li>
  <li>
   Bachelor's degree in Finance, Accounting, Economics, Statistics or related field
  </li>
  <li>
   Comfort working with data from multiple systems and building integrated reporting solutions
  </li>
  <li>
   Exceptional analytical abilities with proven problem-solving skills and intellectual curiosity
  </li>
  <li>
   Ability to translate complex data concepts for non-technical stakeholders with clarity and impact
  </li>
  <li>
   Strong business acumen with the ability to connect financial metrics to operational drivers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with financial systems (NetSuite or similar ERP platforms)
  </li>
  <li>
   SaaS or subscription-based business model experience
  </li>
  <li>
   International/multi-entity company experience
  </li>
  <li>
   M&amp;A or integration experience
   <br/>
   <br/>
  </li>
 </ul>
 Attention to detail is a critical competency for success in this Data Analyst role. To help us identify candidates who read thoroughly, you&rsquo;ll see a mystery question during the application process. The correct answer is:
 <strong>
  attention to detail
 </strong>
 .
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Get In Return
  <br/>
  <br/>
 </strong>
 <strong>
  Here are just a few of the great reasons you should join our team!
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   Work with a global team! We have colleagues and customers across North America and overseas.
  </li>
  <li>
   Veriforce is a great place to work! Our leaders and teams cite culture as one of the top reasons this is a great place to build your career.
  </li>
  <li>
   Veriforce provides
  </li>
  <ul>
   <li>
    100% paid employee medical and dental insurance
   </li>
   <li>
    Monthly contributions to Health Savings Accounts
   </li>
   <li>
    A 401(k) match that is immediately fully vested
   </li>
   <li>
    Outstanding time off benefits
   </li>
   <li>
    Paid time off for volunteer activities
   </li>
   <li>
    Remote work
    <br/>
   </li>
  </ul>
 </ul>
 All job offers will be contingent on successful completion of a drug screen and background check.
</div>


Sand Cherry

<div>
 <strong>
  Company Profile
  <br/>
  <br/>
 </strong>
 At Sand Cherry Associates, we excel in the design and delivery of strategic customer-centric initiatives through digitally-native, data-empowered solutions. Our client&rsquo;s confidence in us is centered on exceptionally skilled, high-energy talent working with the support of the full Sand Cherry team. Finding the right match for this role is a critical aspect of continuing that success.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We are seeking a Data Analyst to join our clients Reliability team. This role is responsible for using advanced, non-machine-learning analytic techniques to investigate well-defined business questions, synthesize findings, and deliver actionable insights. The Data Analyst will partner closely with management and stakeholders to clearly define problems, explore and analyze data, and present results in a way that drives business decisions. This role is responsible for using SQL, Excel, and Tableau/MicroStrategy to turn complex data into clear, actionable insights.
 <strong>
  This is a hybrid role with locations in Denver, CO, Charlotte, NC, and Stamford, CT. Only candidates who are located in the Denver, Charlotte, and Stamford areas will be considered for this position. This role is not eligible for visa sponsorship, visa transfer or C2C candidates
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with the management team to ensure business questions are clearly defined, scoped, and actionable.
  </li>
  <li>
   Leverage domain knowledge of the cable/telecom industry to quickly understand issues and data context.
  </li>
  <li>
   Self-starter that can take ownership of critical projects from conception to actionable recommendations, directly impacting company strategy and driving measurable performance outcomes.
  </li>
  <li>
   Develop ETL workflows in SQL to transform, clean, and join data from multiple sources into analysis-ready datasets.
  </li>
  <li>
   Design, build, and maintain Tableau dashboards and reports that track core KPIs and business performance for executive stakeholders.
  </li>
  <li>
   Translate analytic findings into a clear, compelling narrative supported by charts, figures, and tables. Findings
  </li>
  <li>
   Develop professional, polished presentations in PowerPoint, emphasizing readability and clarity. Deliver insights and recommendations to senior level technical and non-technical audiences, with sensitivity to organizational dynamics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in data analysis, with emphasis on reliability, operations, or telecom preferred.
  </li>
  <li>
   Demonstrated proficiency in SQL, Excel, and Tableau are required. Alteryx experience is highly desirable.
  </li>
  <li>
   Excellent communication skills with proven ability to work cross-functionally and present to senior leaders
  </li>
  <li>
   Detail-oriented and data savvy, with strong problem-solving and critical-thinking abilities. Proven ability to distill complex analyses into clear, actionable insights.
  </li>
  <li>
   Strong foundation in statistics, with ability to apply appropriate analytic techniques.
  </li>
  <li>
   Experience working in the cable/telecom industry is highly desirable.
  </li>
  <li>
   Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related field; Master's preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 Sand Cherry Associates is required by Colorado law to include a reasonable estimate of the compensation range for this role. This compensation range considers a wide range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and delivery model. This is a consulting engagement with an expected annual salary of $100,000-$120,000. Years of experience, level of education, geographic location, unique skills/qualifications for the specific role and potential certifications can be key factors in the final compensation for this role.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Our team is unique &mdash; we are passionate about what we do. At Sand Cherry, our Consultants know they are impacting and shaping our clients&rsquo; industries. We recognize our employees for their contributions. Our culture is one of the most friendly and communicative in the consulting industry. Sand Cherry is not a top-heavy organization. We offer the opportunity to be part of a digital workforce. Discover the experience that only comes with self-responsibility in the workplace. Our team members manage their own workloads and are expected to deliver exceptional work for our clients. Professional career growth is one of our main priorities, as we affirm that investing in our Consultants and empowering our people will also deliver the best results and value for our clients.
</div>


H2o Labs

<p><b>Job Title:</b> Data Analyst<br/><b>Job Type:</b> Full-Time (Night Shift)<br/><b>Job Location:</b> Onsite</p><p><b>Job Overview:</b></p><p>We are seeking a detail-oriented and analytical <b>Data Analyst</b> with 2&ndash;4 years of experience to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to help drive informed business decisions and improve overall performance.</p><p><b>Key Responsibilities:</b></p><ul><li>Collect, clean, and interpret large datasets from multiple sources</li><li>Develop and maintain dashboards and reports to track business performance</li><li>Analyze trends, patterns, and insights to support decision-making</li><li>Work closely with stakeholders to understand business requirements and deliver data-driven solutions</li><li>Create visualizations using tools such as Power BI, Tableau, or similar</li><li>Perform data validation, quality checks, and ensure data accuracy</li><li>Identify opportunities for process improvement and optimization</li><li>Present findings and insights in a clear and concise manner to management</li><li>Support ad-hoc data analysis requests</li></ul><p><b>Requirements:</b></p><ul><li>2&ndash;4 years of experience as a Data Analyst or in a similar role</li><li>Strong knowledge of <b>SQL</b> and data querying</li><li>Proficiency in data visualization tools such as <b>Power BI, Tableau, or Excel</b></li><li>Good understanding of <b>data analysis, statistics, and reporting</b></li><li>Experience working with large datasets and data cleaning techniques</li><li>Strong analytical, problem-solving, and critical-thinking skills</li><li>Excellent communication and presentation skills</li><li>Ability to work in a <b>night shift (full-time, onsite)</b> environment</li></ul><p>Job Type: Full-time</p><p>Pay: Rs80,000.00 - Rs200,000.00 per month</p><p>Work Location: In person</p>

Search 10000+ Data analyst jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 data analyst jobs Near Me

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst