statistical analyst

Tri-County Technical College

<div><div><div><h2 class="jobSectionHeader"><b>Job Responsibilities</b></h2></div>
<p></p><div><p>Are you passionate about education and eager to make a difference in the lives of students? Tri County Technical College is looking for dedicated professionals to join our dynamic team! As a leader in higher education, we pride ourselves on fostering a collaborative, supportive environment where both employees and students thrive. Work alongside a diverse group of staff, faculty, and administrators who are dedicated to student success. Be a part of a forward-thinking institution that values creativity, inclusivity, and excellence.</p><p>
If you are ready to contribute to the success of our great institution and grow your career <b>apply today!</b></p><p>
We welcome applicants from all backgrounds and experiences who are committed to excellence in education.</p>
Tri-County Technical College invites you to apply yo the Statistical Research Analyst III position within our Institutional Research and Evaluation department. They will<i> s</i>upport institutional research and decision-making by managing data collection, analysis, and reporting processes. This position will be primarily responsible for certain reporting requirements and will develop data dashboards and visualizations.<br>
<br>
Job Functions:<ul><li>
INTERNAL AND EXTERNAL REPORTING: Prepare and submit reports to external agencies, including state and federal entities. Compiles and formats data for internal stakeholders, ensuring accuracy and consistency. Produces ad hoc reports using institutional databases and reporting tools.</li><li>
SURVEY AND EVALUATION MANAGEMENT: Manages planning and execution of institutional surveys, including student, graduate, and employer evaluations, as well as student reactions to instruction, to ensure timely completion of assessments and results reporting to support institutional decision-making.</li><li>
ANNUAL PROGRAM EVALUATION: Supports the annual program evaluation cycle by creating a graduate database, researching graduate placement using multiple contact methods, and hiring and supervising part-time staff as necessary to support the evaluation process</li><li>
DATA PUBLICATIONS: Design data visualizations and summary reports for institutional publications. Ensures that relevant publications contain data that are accurate and up to date. Develop and maintain data dashboards for internal and external use.</li><li>
Performs other duties as assigned.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Minimum and Additional Requirements</b></h2></div>
<p></p><div><ul><li>A bachelor's degree and professional experience involving the collection, analysis, interpretation and presentation of quantified data. A master's degree in statistics may be substituted for the required work experience. Experience in data analysis, reporting, or institutional research.</li><li>
Experience with reporting and visualization tools (e.g., Power BI, R, SAS, SQL)</li><li>
Strong attention to detail and commitment to data accuracy</li><li>
Excellent communication and project management skills</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2></div>
<p></p><div><ul><li>Two or more years of experience in data analysis, reporting, or institutional research.</li><li>
Familiarity with IPEDS, state, or accreditation reporting</li><li>
Experience producing dashboards or publications</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Additional Comments</b></h2></div>
<p></p><div><p>Tri-County Technical College offers a comprehensive benefits package for FTE positions that includes, but is not limited, to the following:</p><ul><li>
Health, dental, vision, long term disability, and life insurance for employee, spouse, and children</li><li>
Life Insurance: Basic life insurance and optional supplements life insurance for employee, spouse, and children.</li><li>
15 days annual (vacation) leave per year</li><li>
15 days sick leave per year</li><li>
13 paid holidays</li><li>
Paid Parental leave</li><li>
State Retirement Plan and Deferred Compensation Programs: 401k with employer contributions.</li><li>
Professional Development Opportunities: Team bonding activities/events and professional training programs.</li><li>
Employee Assistance Program (EAP): Counseling and support services.</li><li>
Work-Life Balance: Flexible work schedules, 37.5 work weeks and abbreviated Fridays.</li></ul><p>
Tri-County Technical College is committed to providing equal employment opportunities to all applicants and does not discriminate based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited, to lactation), national origin, age (40 or older), disability or genetic information.</p></div></div></div><p></p>

Statistical & Research Analyst III

IP Centric Systems

<p>The expert is responsible for turning data into information, information into insight, and insight into business decisions. They will interpret data and analyze results using statistical techniques to provide ongoing reports. The expert will lead on the development of reports and dashboards for the MoPASS M&amp;E system.</p><p><b>Key Tasks:</b></p><ul><li>Collect and interpret data from various sources.</li><li>Analyze results using statistical techniques and provide reports.</li><li>Develop and implement databases and data collection systems.</li><li>Identify, analyze, and interpret trends or patterns in complex data sets.</li><li>Work closely with management to prioritize business and information needs.</li><li>Scope and define requirements for reports and dashboards with clients</li><li>Implement and test reports and dashboards</li></ul><p><b>Qualifications: </b></p><ul><li><b>Education/Training</b> : - Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field.</li><li><b>Language</b>: - English and Urdu at C1 level or above</li><li><b>General Professional Experience :</b></li><li>5 years knowledge of and experience with reporting packages, databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks). (4 points)</li><li>5 years of knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.). (3 points)</li><li>5 years experience of collecting, organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy (3 points)</li><li><b>Specific Professional Experience:</b></li><li>3 years of working experience as a data analyst or business data analyst. (4 points)</li><li>2 years of technical expertise regarding data models, database design development, data mining, and segmentation techniques. (4 points)</li><li>1 year of experience in data analysis and visualization tools, such as Tableau, Power BI, etc. (2 points)</li><li><b>Leadership/Management Experience: </b>- Not applicable</li><li><b>International professional experience outside the country/region of assignment : </b>1 years Experience working internationally</li><li><b>Professional experience in the country/region of assignment : </b></li><li>2 years of experience working in Pakistan</li><li><b>Development cooperation experience:</b> 1 year experience working with development cooperation partners.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

DATA ANALYST

TAWANTECH

<div><h3 class="jobSectionHeader"><b>Job Overview:</b></h3><p>
We are seeking an experienced <b>Data Scientist</b> to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Analyze large, complex structured and unstructured datasets to derive actionable insights.
</li><li>Develop, validate, and deploy statistical and machine learning models.
</li><li>Use SQL, Python, or R to manipulate data and draw insights from large datasets.
</li><li>Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
</li><li>Implement parameter reduction techniques such as feature selection and PCA to optimize models.
</li><li>Build and manage end-to-end data workflows in <b>Dataiku (DSS)</b> including data ingestion, preparation, modeling, and deployment.
</li><li>Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
</li><li>Apply <b>LLM techniques</b> including prompt engineering and fine-tuning to relevant business problems.
</li><li>Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
</li><li>Collaborate with cross-functional teams including product, engineering, and business stakeholders.
</li><li>Ensure accuracy, consistency, and quality in data deliverables.
</li></ul><p><b>Requirements</b></p><h3 class="jobSectionHeader"><b>
Required Qualifications:</b></h3><ul>
<li>3+ years of experience as a <b>Data Scientist</b>, <b>Data Analyst</b>, or similar role.
</li><li>Strong proficiency in <b>SQL</b> and <b>Python</b> or <b>R</b>.
</li><li>Hands-on experience with <b>data visualization tools</b> (Power BI, Tableau, Looker, etc.).
</li><li>Solid understanding of <b>statistics</b>, <b>data modeling</b>, <b>hypothesis testing</b>, and <b>machine learning</b>.
</li><li>Experience with <b>parameter reduction</b> techniques (e.g., PCA, feature selection).
</li><li>Proven experience working with <b>APIs</b>, <b>large datasets</b>, and both structured/unstructured data.
</li><li>Experience using <b>Dataiku (DSS)</b> for building data pipelines and deploying models.
</li><li>Familiarity with <b>LLMs</b> (prompt engineering, fine-tuning) and vector database technologies.
</li><li>Bachelor's degree in <b>Data Science</b>, <b>Statistics</b>, <b>Computer Science</b>, <b>Economics</b>, or a related field.
</li><li>Experience in the <b>financial services</b> or <b>investment domain</b> is a plus.</li></ul></div>

Data Scientist

Google

<div>
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
  </li>
  <li>
   8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
  </li>
  <li>
   Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
  </li>
  <li>
   Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience translating analysis results into business recommendations.
  </li>
  <li>
   Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
  </li>
  <li>
   Experience selecting tools to solve data analysis issues.
  </li>
  <li>
   Experience articulating business questions and using data to find a solution.
  </li>
  <li>
   Knowledge of structural econometric methods.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products.
  </li>
  <li>
   Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions.
  </li>
  <li>
   Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives.
  </li>
  <li>
   Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


Staff Data Scientist, Ads Insights and Measurement

Ricardo

<div>Overview:
<div></div><p><b>
Role:</b> Economic Modeller and Data Analyst</p><p><b>
Location: </b>New Delhi, India - Hybrid</p><p><b>
Role ID:</b> 2025-2965</p><p></p><div><b><br>
Our vision is to create a safe and sustainable world.</b></div><div>
Ricardo, member of WSP, is a global strategic, environmental, and engineering consulting company. With over 100 years of engineering excellence and employing close to 3,000 employees in more than 20 countries, we provide exceptional levels of expertise in delivering leading-edge and innovative cross-sector sustainable products and solutions. Every day, we enable our customers to solve the most complex and dynamic challenges to help achieve a safe and sustainable world.</div><div></div><div><b><br>
Role Purpose</b><br>
We are seeking a skilled individual to join our Digital Modelling Practice within Ricardo&rsquo;s Climate, Energy &amp; Environmental Services (CE&amp;ES) division. You will work at the intersection of data, economics, and environmental policy, contributing to high-impact research used by global institutions such as the OECD, World Bank, and European Commission.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li><div>
Collect, clean, and analyse large and complex datasets (e.g. Eurostat, IMF, World Bank, IEA)</div></li><li><div>
Apply statistical and econometric methods to identify trends, patterns, and relationships</div></li><li><div>
Develop dashboards, reports, and visualisations to communicate insights effectively</div></li><li><div>
Support economic modelling teams with data preparation and exploratory analysis</div></li><li><div>
Contribute to research featured in IPCC reports and other high-level publications</div></li></ul><div><b>
Key Competencies and Experience</b></div><ul><li><div>
Bachelor's or Master&rsquo;s degree in Economics, Statistics, Mathematics, Data Science, or a related field</div></li><li><div>
Demonstrated experience in data analysis and statistical methods</div></li><li><div>
Proficient in Microsoft Excel</div></li><li><div>
Experience with at least one programming language (e.g. Python, R, GAMS) and statistical software (e.g. Stata, SPSS, EViews)</div></li><li><div>
Solid understanding of statistical techniques and their practical applications</div></li><li><div>
Excellent problem-solving skills and attention to detail</div></li><li><div>
Strong written and verbal communication skills</div></li><li>
Fluency in written and spoken English is essential</li></ul><div><b>
Desirable Experience</b></div><ul><li><div>
Experience working with large-scale datasets from major international sources</div></li><li><div>
Familiarity with data visualisation tools such as Tableau, Power BI, or Looker</div></li><li><div>
Interest in economic modelling and environmental policy analysis</div></li></ul><div></div><div><b><br>
Working here</b></div><div>
You will be warmly welcomed into our workplace where every voice matters. We are diverse thinkers and doers, coming together to create a culture of inclusion. We will support you to find your place.</div><div></div><div><br>
We will encourage you to use your passion and expertise to make a positive impact through the projects you work on. Your knowledge and desire to bring about change will be invaluable in helping deliver innovative solutions that support communities across the globe in becoming safer and more sustainable.</div><div></div><div><b><br>
Work life balance</b></div><div>
We offer flexible approaches to work, whether that is working from home, being in the office, or as a hybrid worker. We're happy to discuss flexible working arrangements. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential.</div><div></div><div><b><br>
Benefits</b></div><div>
We want you to know how much you are valued. Your remuneration and benefits package will reflect that. You will receive a range of benefits which include support for your physical and mental health.</div><div></div><div><b><br>
Diversity, Equality, and Inclusion statement</b></div><div>
We are an Equal Opportunity Employer, we believe in each person's potential, and we'll help you reach yours. We have an ambitious diversity, equality, and inclusion approach as explained here. We value diversity; recognising that a more diverse workforce creates a richer and more varied working environment. Diversity also drives innovation, by allowing us to offer our clients the best consultancy service that we can. As part of our commitment to engage positively and pro-actively with all our employees and to ensure an inclusive culture, we are a recognised as a 'disability confident' employer.</div><div></div><div><b><br>
Next steps</b></div><div><b>
Your application and CV must be written in English</b>. Once you have submitted your application a member of our Recruitment Team will be in touch. Please be aware that the timing can vary dependent on the volume of applications that we receive for each role and in some cases, we may start to review applications prior to the closing date.</div><div></div><div><br>
Ricardo is a Disability confident employer please advise the recruitment team via recruit@ricardo.com if you require any adjustments to support you throughout the recruitment process.</div><div>
#LI-Hybrid #LI-EB1</div></div>

Economic Modeller and Data Analyst

The Emmes Company, LLC

<div>Overview:
<div><b>
Lead Biostatistician</b></div><div></div><div><b><br>
India Remote/Bengaluru(hybrid)</b></div><div></div><div><br>
Emmes Group: Building a better future for us all.</div><div></div><div><br>
Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.</div><div></div><div><br>
We believe the work we do will have a direct impact on patients&rsquo; lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We&rsquo;re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!</div><div></div><div><b><br>
Primary Purpose</b></div><div>
The Biostatistician collaborates with clinical investigators to determine study design, contributes to protocol development, writes statistical analysis plans, performs statistical analysis and inference and writes and presents reports summarizing findings including publications in peer-reviewed journals. The Biostatistician develops systems for monitoring the quality of clinical data. The Biostatistician ensures high-quality statistical support is provided for clinical trials, registries and basic research using advanced statistical skills and knowledge of clinical research. The Biostatistician maintains expertise in state-of-the-art data manipulation and statistical methodology.</div>
Responsibilities:
<ul><li>Collaborates with clinical investigators to determine study design.</li><li>
Writes sections of protocols that require statistical input.</li><li>
Reviews protocols and case report forms to ensure that protocol objectives are met, and standards are maintained.</li><li>
Generates treatment allocations in randomized clinical research studies and ensures proper implementation.</li><li>
Leads the project team&rsquo;s development of statistical analysis plans and programs to perform analyses and display study data.</li><li>
Performs statistical analyses, writes and validates application programs.</li><li>
Implements data and safety monitoring reports to ensure participants safety.</li><li>
Develops metrics and generates quality control reports to optimize the performance of clinical sites and the coordinating center.</li><li>
Generates study reports to be distributed to internal and external monitoring committees and regulatory bodies.</li><li>
Applies, guides and ensures others on team are implementing QC processes, ensuring deliverables are accurate, are of high quality and delivered on agreed timelines.</li><li>
Authors or contributes to manuscripts and/or scientific presentations.</li><li>
Participates in professional development activities both within and outside the</li><li>
Ensure timely and effective communication of project milestones and status to internal stakeholders.</li><li>
Assists the cross functional communication for smooth deliverables of study related documents.</li><li>
Works with multi-disciplinary teams</li></ul>
Qualifications:
<ul><li>Requires a master&rsquo;s or PhD degree in Statistics with minimum of 6 years of clinical research experience.</li><li>
Solid understanding of design of experiments; Demonstrated proficiency with statistical methods and applications in clinical research.</li><li>
Competent in SAS programming language and/or R.</li><li>
Expertise in state-of-the-art data manipulation and statistical methodology.</li><li>
Ability to effectively communicate technical concepts, both written and oral.</li><li>
Ability to lead / drive departmental initiatives (with Supervision).</li><li>
Ability to supports recruitment activities in terms of interviewing candidates</li><li>
Flexibility in time management</li><li>
Good organizational and communication (written and oral) skills, ability to manage multiple tasks, ability to work with minimum supervision, as well as in a team environment and a desire to improve skills</li><li>
Professional speaking abilities for routine internal and/or external communication purposes.</li><li>
Be willing to learn and adapt to new processes and procedures.</li></ul><div><b>
CONNECT WITH US!</b></div><div><i>
Follow us on Twitter - @EmmesCRO</i></div><div><i>
Find us on LinkedIn - Emmes</i></div><div></div><div><br>
#LI-Remote</div></div>

Lead - Biostatistician

Unilever

<div><p><b>ABOUT UNILEVER
</b></p><p>With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people &ndash; we believe that when our people work with purpose, we will create a better business and a better world.</p><p></p><p><b>
Job Brief:</b></p><div>
The Clinical Biostatistics group is responsible for delivering leadership and expertise in the use of Statistics and Data Analytics across the Beauty &amp; Wellbeing and Personal Care (BW &amp; PC) Clinical Program. For Statistics this covers support in statistical design of clinical studies, statistical analysis, visualization of data and interpretation and reporting of results. Additionally, the group provides expertise in clinical data mining and modelling, and biostatistics support to the BWPC R&amp;D cross functional teams with respect to the clinical program and related areas. The group delivers via a highly skilled team that is aligned to specific program areas within BPC and works in close partnership with Clinical researchers as well as BWPC Science &amp; Technology (S&amp;T), Global Design, Category Design, and Cluster Design teams on a global level.<br>
<br>
<b>Requirements &amp; Qualifications:</b> The candidate should ideally have at least a master&rsquo;s degree in Statistics/Biostatistics, with three to six years&rsquo; experience in research or the FMCG/Pharmaceutical industries, although applications from less experienced candidates will be considered. Proficiency in SAS and R is essential, including the ability to automate routine tasks, develop macros, and build applications. Strong written and verbal communication skills are also required.<br>
<br>
<b>Responsibilities:</b><br>
<ul><li>Engagement and collaboration with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies, analyse, visualise and interpret data.</li><li>Work in inter-disciplinary teams that includes clinical study experts, measurement scientists, bioinformaticians, and other statisticians, both within Unilever and with external partners.</li><li>Provision of statistical expertise across a range of R&amp;D disciplines to define and implement statistical solutions.</li><li>Deliver high quality statistical programming deliverables for all assignments that consistently meets study timelines, quality standards.</li><li>Responsibility for the quality and defensibility of study designs, statistical analyses, models and data interpretation.</li><li>Perform exploratory data analyses of clinical studies and reporting as required.</li><li>Follow all standard practices as per SOP&rsquo;s and guidance documents.</li></ul><br>
<b>
Key Accountabilities:</b><br>
<ul><li>Works as a member of a team to design and/or review protocols, case report forms, and other key study documents</li><li>Write and review statistical sections and other relevant parts of study synopses and protocols</li><li>Performs relevant sample size calculations</li><li>Design randomization plans and generates random allocation lists</li><li>Develops statistical analysis plans including analysis files and data reporting specifications</li><li>Develops appropriate statistical methods for data analysis and ensures the accuracy and reproducibility of data sets and analyses of clinical study data</li><li>Follows relevant work practices and procedures and organizational SoPs</li><li>Working closely with mutli-disciplinary teams to ensure a complete review of the data, providing a thorough understanding of statistical processes and issues that may arise in analysis</li><li>Plan the statistical analyses, programming and execution of the analyses, instructing and reviewing statistical planning and analysis work</li><li>Perform hands-on data analysis and modeling of obtained data to provide outputs that will guide in decision making through various stages of project</li><li>Liaises with other statisticians and scientists in areas of expertise and experience and ensures continuous improvement for themselves and the broader team via sharing of approaches and best practices;</li><li>Provides statistical consultancy as required to the R&amp;D programme.</li><li>Engages and collaborates with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies. Teams may include clinicians, measurement scientists, bio scientists, product formulators, claims experts, and others;</li><li>Acts as secondary contact (supporting the Lead Statistician for the area) across multiple primary research areas (e.g. Skin Face Care, Microbiome, Skin cleansing, Hair Care, Oral, etc.);</li></ul></div><p></p><p><b>
Our commitment to Equality, Diversity &amp; Inclusion</b></p><p>
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.</p><p></p><p><i>
&quot;All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent&mdash;please verify before proceeding.&quot;</i></p></div>

R&D Executive - Statistician

Search 4194+ Statistical analyst jobs near you this October. New roles added regularly across leading industries. Apply today.