data analytics

RSA Security

<div>
 RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.
 
 
 For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team! For more information, go to rsa.com.
 
 
 The Senior Manager, Data Analytics leads the design, delivery, and governance of enterprise‑wide analytics that drive data‑informed decision‑making. This role partners closely with executive leadership and cross‑functional stakeholders to translate business strategy into scalable reporting, actionable insights, and trusted metrics across Sales, Finance, Customer Support, Professional Services and Customer Success.
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 Lead and scale a high‑performing analytics team delivering dashboards, insights, and executive reporting.
 </li>
 <li>
 Establish and own a reporting and analytics Center of Excellence, ensuring consistency, accuracy, and alignment on key metrics.
 </li>
 <li>
 Partner with senior leaders to define KPIs, performance frameworks, and analytics roadmaps that support GTM strategy and business priorities.
 </li>
 <li>
 Oversee end‑to‑end analytics delivery, including data validation, metric definitions, dashboard design, and insight generation.
 </li>
 <li>
 Audit and improve data quality across core systems to ensure reliable reporting and decision‑making.
 </li>
 <li>
 Translate complex data into clear narratives, insights, and recommendations for executive and board‑level audiences.
 </li>
 <li>
 Identify trends, risks, and opportunities through advanced analysis of performance data.
 
 
 </li>
 </ul>
 
 Essential Requirments
 
 
 
 <ul>
 <li>
 10+ years&rsquo; experience, 5+ years&rsquo; People Management Experience
 </li>
 <li>
 Talent development and team leadership
 </li>
 <li>
 Strong analytical thinking, storytelling, and problem‑solving skills.
 </li>
 <li>
 Ability to influence senior stakeholders and drive alignment across organizations.
 </li>
 <li>
 Proven experience leading analytics or BI teams
 </li>
 <li>
 Deep understanding of GTM, revenue, and customer lifecycle metrics
 
 
 </li>
 </ul>
 RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.
 
 
 If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at
 
 
 rsa.global.talent.acquisition@rsa.com
 
 
 . RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>

Senior Manager, Data Analytics

EGBank

<div><div>KEY ACCOUNTABILITIES

Description 

Data Analytics:
<ul>
<li>Creating new reporting process and quality</li>
<li>Reviewing generated performance of analytics solutions to impact overall business results</li>
<li>Setting the departmental vision and mission for the use of data in making key business decisions</li>
<li>Defines and building appropriate analytics models</li>
<li>Developing a training programs meant for improving the departmental Staff&rsquo; understanding of the use of data</li>
<li>Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner</li>
<li>Validate, interpret, and create reports and presentations for senior management, departments heads, and relevant stakeholders</li>
<li>Ensure right dashboards and MIS Reports sent periodically.</li>
<li>Coaching and transferring knowledge and expertise to the team</li>
</ul>
<div>Data Modelling:</div>
<ul>
<li>Conduct robust validations of a wide variety of models against established standards, developing benchmark, challenger and replication models where applicable.</li>
<li>Providing projections of future client numbers, , and assessing how many underwriters will be needed in the sector</li>
<li>Perform financial modeling to design underwriting strategies that target company&rsquo;s risk and return targets.</li>
<li>Create analytical datasets by performing exhaustive descriptive analysis, data cleansing and normalization, and investigation of business rules</li>
<li>Support the implementation and testing of underwriting strategies in credit decision engines and assist in developing predictive scoring models, segmentation schemas, underwriting rules and model validations.</li></ul> 

<div>
Qualifications and Experience:</div>
<div>
<ul><li>Bachelor&rsquo;s degree in Business Administration, BIS or a related field.</li></ul>
<ul><li>10-12 years of experience in Data Analytics Field,</li></ul>
<ul><li>Experience within Banking Industry will be considered as an asset</li></ul>
<ul><li>Expert in Python, Data Science and SAAS</li></ul>
</div>
<div>Skills:</div>
<div>
<ul><li>Strong computer and presentation skills</li></ul>
<ul><li>Ability to manage multiple projects and work well under pressure</li></ul>
<ul><li>Strong interpersonal, communication, analytical, Creativity, negation and organizational skills</li></ul>
<ul><li>Strong analytical skills and strategic orientation.</li></ul>
<ul><li>Expert knowledge on credit compliance and risk management</li></ul>
<ul><li>Expert knowledge of Market best practice in Risk Management for all Retail Portfolios.</li></ul>
<ul><li>Sound writing, reviewing, analyzing and editing skills with attention to details and accuracy.</li></ul>
<ul><li>Critically analyzing processes and suggesting areas for improvement.</li></ul>
<ul><li>Strong Technical skills in data mining/transformation tools.</li></ul></div></div></div>

Retail Data analytics & Risk Modelling Head (3993)

Great American Insurance Group

<div>
 
 Be Here. Be Great.
 
 Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
 
 
 At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
 
 
 Business Data &amp; Analytics is seeking a Senior Data Governance Analyst to own and support multiple Enterprise Data Management initiatives that enable trusted, well governed data for enterprise decision making, analytics, and AI-driven use cases. This role partners with Business Units, Data Owners, Data Stewards, and technical teams to translate business needs into actionable governance outcomes, ensuring data is clearly defined, fit-for-purpose, and consumable for reporting, analytics, and AI.
 
 
 Success in the role requires strong stakeholder engagement, the ability to operationalize governance outcomes, and a working understanding of how high quality, well governed data supports analytics and AI initiatives across the enterprise.
 
 
 
 Primary Focus: AI Enabled Governance Outcomes
 
 
 
 
 Deliver Three AI-enabled Governance Outcomes
 
 
 
 <ul>
 <li>
 Glossary automation &ndash; Accelerate creation and maintenance of business terms using Company-approved AI, with steward/owner review and accountability.
 </li>
 <li>
 Metadata enrichment &ndash; Improve metadata completeness (ownership, definitions, relationships, key attributes) to increase discoverability and AI readiness.
 </li>
 <li>
 Governed data lifecycle &ndash; Embed governance checkpoints for analytics/AI data (definitions/ownership, lineage, quality thresholds, usage constraints, responsible use).
 
 
 </li>
 </ul>
 Great American&rsquo;s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday&ndash;Thursday, with the fourth day determined by business needs.
 
 
 
 Essential Job Functions &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness).
 </li>
 <li>
 Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use.
 </li>
 <li>
 Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability.
 </li>
 <li>
 Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI.
 </li>
 <li>
 Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners.
 </li>
 <li>
 Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion.
 </li>
 <li>
 Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related fields.
 </li>
 <li>
 6 or more years of Data Governance or related experience.
 </li>
 <li>
 Strong facilitation and communication skills; able to drive alignment across diverse stakeholders.
 </li>
 <li>
 Proven ability to prioritize, work independently, and deliver in a dynamic environment.
 </li>
 <li>
 Strong understanding of governance concepts (data quality, metadata, lineage) and their impact on analytics/AI outcomes.
 </li>
 <li>
 Experience with governance/catalog tools; experience managing glossary, terms, data standards is a plus.
 </li>
 <li>
 Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.
 </li>
 <li>
 Strong analytical and problem-solving skills required.
 </li>
 <li>
 Demonstrated ability to use Company-approved AI responsibly, prompting, and validating outputs and owning final deliverables.
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Stakeholders trust enterprise definitions and data quality for reporting, analytics, and AI.
 </li>
 <li>
 Measurable progress on glossary automation, metadata enrichment, and governed training datasets.
 </li>
 <li>
 Governance is experienced as an enabler of speed, insight, and innovation. Not a blocker.
 
 
 </li>
 </ul>
 
 Business Unit
 
 
 
 Business Data and Analytics
 
 
 
 Benefits
 
 
 
 We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
 
 
 Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
 
 
 <ul>
 <li>
 Excludes seasonal employees and interns.
 </li>
 </ul>
</div>

Sr. Data Governance Analyst - Business Data & Analytics

PNC Financial Services Group

Job Profile
 
Position Overview
 At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.
 
As a Scrum Master within PNC's Data and Automation Technology (DNAT) organization, you will be based in Pittsburgh, PA or Dallas, TX.
 
Responsibilities include: 
Facilitate Scrum ceremonies (Sprint Planning, Daily Scrum, Review, and Retrospective) and ensure they are time-boxed, effective, and outcome-oriented.
 
Own and administer Jira boards (backlog, sprint, and Kanban as needed): workflows, statuses, fields, dashboards, filters, and reporting.
 
Partner with Product Owners, engineers, and stakeholders to remove impediments, manage dependencies, and drive execution against sprint goals.
 
Provide transparent delivery reporting (burn-down/up, velocity, throughput, cycle time) and maintain clear communication through Jira dashboards and stakeholder updates.
 
<ul>
<li>Strong working knowledge of Scrum and Agile principles; ability to coach teams and stakeholders on Agile practices.</li>
<li>Hands-on Jira experience: configuring boards/workflows, managing backlogs and sprints, and producing dashboards and delivery metrics.</li>
<li>Experience identifying/removing impediments, managing risks and dependencies, and facilitating cross-team coordination in a regulated enterprise environment.</li>
<li>Comfortable working with technical teams (cloud/AI/ML platform work a plus) and translating delivery details into clear, actionable plans.</li>
<li>Strong communication and facilitation skills, including executive-ready status reporting and the ability to drive consensus.</li>
<li>Scrum Master certification (CSM, PSM, SAFe, or equivalent) preferred.</li>
</ul>
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
 
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
 
Job Description
 Supports and facilitates generally one to two Scrum Teams in various functions by fostering Agile values and practices.
 Ensures team adherence to Agile principles. Provides coaching to the Scrum Team(s) on how to execute the Scrum framework.
 Organizes and facilitates ceremonies, identifies improvement opportunities to optimize velocity and quality while mitigating risk. Tracks and communicates the overall team progress providing visibility to stakeholders.
 Serves as a filter to remove impediments to progress as identified by the team. Protects the team from outside influences to ensure the team remains focused on Scrum Team priorities.
 Partners with the Product Owner to ensure the backlog items are prioritized based on business value and ready for the team.
 
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
 Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
 Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
 
Qualifications
 
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
 
Preferred Skills Agile Methodology, Customer Solutions, Information Management, JIRA Tool, Organizational Analysis, Product Lifecycle Management (PLM), Program Administration, Scrum, Software Testing
 
Competencies Agile Development, Coaching Others, Conflict Management, Design Thinking, Group Facilitation, Interpersonal Relationships, IT Standards, Procedures & Policies, Listening, Planning and Organizing, Problem Solving
 
Work Experience Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
 
Education Bachelors
 
Certifications No Required Certification(s)
 
Licenses No Required License(s)
 
Benefits
 PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
 
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
 
To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com .
 
Disability Accommodations Statement
 
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
 
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
 
Equal Employment Opportunity (EEO)
 
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
 
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
 
California Residents
 
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Scrum Master - Data and Analytics Technology (Jira, Sprint Planning, Agile)

Public Investment Fund (PIF)

<div>
 
 
 
 JOB PURPOSE
 
 :
 
 
 
 To manage the empowering and facilitating of audit operations within PIF through leveraging the power of data analytics and data modelling to drive quality improvement and workflow optimization.
 
 
 
 
 
 
 
 
 
 
 KEY ACCOUNTABILITIES
 
 :
 
 
 <ul>
 <li>
 
 People Management:
 
 Set priorities, objectives and supervise the activities of the direct reporting roles to ensure that all operational plans are carried out efficiently, in line with the annual organizational targets, policies and procedures.
 </li>
 <li>
 Provide on-the-job training, ongoing support and feedback, to all subordinate employees to ensure they are capable to deliver the effectively the assigned tasks.
 </li>
 <li>
 Identify the employees&rsquo; training and developmental needs in coordination with the HR team and bridge the knowledge gaps to ensure continuous progression and high-level of competence within the department.
 </li>
 <li>
 Oversee the successful implementation of the talent management related activities for the assigned team (e.g. PMS, trainings, etc.), providing relevant approvals as required (e.g. annual leaves, etc.).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Specialized Accountabilities:
 
 Manage the establishment of data analytics capability to support substantive audit testing and continuous and more effective auditing in medium term.
 </li>
 <li>
 Oversee and manage the data analytics platforms to ensure continuity of analytics operations.
 </li>
 <li>
 Liaise with internal audit and external parties on best practices and methodology on data analytics.
 </li>
 <li>
 Manage the analysis of integrated audit data analytics scripts to ensure quality of the scripts before implementing Continuous Controls Auditing (CCA).
 </li>
 <li>
 Supervise the building, deploying and maintaining of Continuous Controls Auditing (CCA) scripts on key high-risk audit controls.
 </li>
 <li>
 Ensure to support the PIF Divisions on strategic projects and initiatives for enhancing the governance and control environment.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Common Accountabilities:
 
 Coordinate operational excellence improvement initiatives and motivate employees to constantly identify areas for improvement on systems, processes and practices taking into account international leading practices, in order to continuously enhance the organizational effectiveness and business performance.
 </li>
 <li>
 Supervise the development and implementation of functional policies, systems, processes, procedures and controls in order to ensure that all activities within the unit are conducted in line with any relevant compliance, risk, audit, cybersecurity and regulatory requirements.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 QUALIFICATIONS:
 
 
 
 
 Education:
 
 Bachelor&rsquo;s in Information Technology, or any other relevant discipline.
 
 
 
 
 
 
 Years of Experience:
 
 8 years of experience in a relevant field with at least 4 years in a supervisory role.
 
 
 
 
 
 
 Preferred Professional Certificates:
 
 Any relevant certification such as Chartered Professional Accountant (CPA), IIA Internal Audit Practitioner, Certified Internal Auditor (CIA), Certified Fraud Examiner (CFE), or Certificate in Data Analytics, etc.
 
</div>

Head of Assurance Analytics Unit

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose 
</h5> Emirates Skywards seeks to be an inspiring and engaging global loyalty programme for Emirates and FlyDubai. There are a number of key roles within our Skywards Group that are essential to the success of this this programme. From product design, e-commerce and analytics, through to business development, strategic partnerships and member engagement our Skywards team is filled with exciting opportunities! 
The Skywards Data Analyst will be responsible for reporting analysis and distribution of data to Emirates Loyalty to drive a data first approach. Make improvements to the data lifecycle, from the way data is extracted and prepared to the way analysis and segmentation is performed and presented through to data distribution and utilizated within the department. They will engage with relevant enterprise analytics, marketing &amp; internal teams to develop data products. 
 
 
 
In this role, you will:
<ul><li>Work with teams across Loyalty to understand and develop measurement KPIs and set up tracking and measurement. Document measurement frameworks, KPI development and reporting inputs for reference by all teams within Loyalty as needed.
</li><li>Build automated dashboards, reports and scorecards for self-service use across the department. Train and support teams in understanding and utilizing the reports to make data-backed decisions.
</li><li>Develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes. Continuously improve the business data science models, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning within the department.
</li><li>Responsible for analysing overall performance of data-driven initiatives across the department, service ad-hoc insight requests, and develop visual insight dashboards and reports for consumption by the rest of the department.
</li><li>Engage with the Enterprise Analytics and Warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the business performance at different fronts including Enterprise Data Warehouse, Enterprise Data Hub &amp; CRIS Warehouse.
</li><li>Drive a 'Customer first, data centric' decision making culture within Skywards by helping the business quantify and measure the costs.
</li><li>Validate, interpret, and create reports, dashboard &amp; presentations for departmental heads/management, and relevant stakeholders.
</li><li>Champion the use of Test and learn methodologies to allows a business to try out new ideas and concepts in order to understand the impact it has on factors such as customer experience, employee productivity and revenue.
</li><li>Collaborate with numerous departments across Emirates, aiding them in the proper use of Skywards data, hence, ensuring the delivery of desired operational results.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the following requiremtents:
<ul><li>Experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business performance and driving top-line growth
</li><li>Working experience in Loyalty or Commercial
</li><li>Experience in Technical expertise regarding data models, big data, customer/loyalty analysis, CRM database analysis, data mining and segmentation techniques
</li><li>Working experience in data science models
</li><li>Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
</li><li>Ability to transform data to insights.
</li><li>Ability to organize well, work under pressure and juggle multiple requests.
</li>Knowledge of advanced technologies such as Snowflake, Data IKU, Helix, Python, R, SQL etc. 
<li>
</li> </ul>At Emirates, we&rsquo;re committed to helping our people grow and thrive. If you're ready for a rewarding and challenging career, apply today and become part of our world-class team. 
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5><ul><li>- 
</li></ul> <div>Join us in Dubai and enjoy attractive salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website 
<div>emiratesgroupc 
</div> areers.com
 . Further information on what it's like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</div></div>

Skywards Data Analyst

Spendid Farms

Job Title: Data Analyst Company: Splendid Farms Location: New York, New York, United States Employment Type: FULL_TIME About Splendid Farms Splendid Farms is a reliable leader in the agri-food industry, delivering value through a comprehensive range of services including export, marketing, packaging, logistics, agricultural production, and the distribution of agricultural inputs. We are committed to excellence and innovation, and we are looking for a talented individual to join our team. Job Overview We are seeking a meticulous and insightful Data Analyst to join our dynamic team. The ideal candidate will be passionate about data and its ability to drive business decisions. In this role, you will be responsible for analysing complex datasets to derive actionable insights that will influence strategy across our core operations, from agricultural production to global logistics. You will work closely with various departments to help them understand data, identify trends, and make better-informed decisions. Responsibilities * Collect and interpret data from diverse sources, including production metrics, supply chain logs, and market trends. * Analyse results using statistical techniques and provide clear, comprehensive reports and dashboards. * Develop and implement databases, data collection systems, and data analytics strategies that optimise statistical efficiency and quality. * Identify, analyse, and interpret trends or patterns in complex data sets to provide valuable business insights. * Create compelling data visualisations and presentations to communicate findings to stakeholders at all levels of the organisation. * Collaborate with management and departmental heads to prioritise business and information needs. * Contribute to the optimisation of logistics, marketing, and distribution processes through data-driven recommendations. Qualifications * Proven experience as a Data Analyst or in a similar analytical role. * Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with exceptional attention to detail and accuracy. * Proficiency in SQL and experience with data visualisation tools such as Tableau or Power BI. * Excellent knowledge of statistical packages (e.g., Excel) and/or programming languages (e.g., Python, R). * A degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field. * Superb communication and presentation skills, with the ability to convey complex findings in a clear and concise manner. * Experience within the agriculture, food production, or supply chain industry is highly desirable. Benefits * A competitive salary and benefits package. * Opportunities for professional development and continuous learning. * A collaborative and supportive work environment. * Generous annual leave allowance. * Company pension scheme.

Data Analyst

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