advanced analytics specialist

PepsiCo

<div>Overview:
<div>
The Data Science Scientist ( Data Scientist) will support the France DX team. This person is responsible for supporting the France commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data is leveraged in the most optimal way.</div>
Responsibilities:
<div>
As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for France e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.</div><div></div><div><br>
Data Analysis and Modeling: Analyzing complex datasets to extract valuable insights and identify trends/patterns. Develop and implement predictive and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process.</div><ul><li>
Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home</li><li>
Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects</li><li>
Build analysis in Python with accompanying documentation</li><li>
Designing and using algorithms and building predictive &amp; prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks.</li><li>
Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data</li><li>
Developing our internal capability to derive insights from structured data, unstructured data through location intelligence, machine learning, collaborative filtering, etc. to unlock new sources of insight that can be used to drive competitive advantage.</li></ul>
Qualifications:
<ul><li>Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience</li><li>
6 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered</li></ul></div>

Data Science Scientist

Hays

<div>
 <p>
  We are searching for an impactful Data Scientist to join the high-profile Advanced Analytics Centre of Excellence (CoE) at one of the Middle East's leading financial institutions. This initiative is central to the bank's strategy, tasked with delivering AED multi-million business impact and fostering a data-driven culture across the organization.
 </p>
 <p>
  This role is for a technical leader ready to take ownership of the entire Machine Learning lifecycle.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Opportunity:
 </p>
 <ul>
  <li>
   High Visibility: The CoE is governed at the ExCo level, ensuring strategic importance and ringfenced resources.
  </li>
  <li>
   Direct Impact: Design and deploy ML models that directly support high-value use cases, collaborating within cross-functional AA squads.
  </li>
  <li>
   Mentorship: Play a key role in guiding and mentoring junior colleagues, contributing to the growth of the CoE's technical capabilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Required Profile:
 </p>
 <ul>
  <li>
   Experience: 6-8 years of validated experience in a Data Science role.
  </li>
  <li>
   Education: An Advanced Degree (MS/Ph.D.) in a quantitative discipline (Statistics, Math, Computer Applications, Economics) is highly desirable.
  </li>
  <li>
   Core Skills: Expertise in R or Python, Machine Learning, Statistics, and Optimization.
  </li>
  <li>
   Big Data: Essential experience with large data sets and distributed computing tools (e.g., Spark, Hadoop, Hive).
  </li>
  <li>
   Soft Skills: Proven ability to work in agile environments, compelling communication skills, and excellent stakeholder management.
  </li>
 </ul>
</div>


Data Scientist

KoçDigital

<div>
 <p>
  Ko&ccedil;Digital combines the strengths of Ko&ccedil; Holding to support our clients on their most complex digital challenges. Our mission is to deliver sustainable impact, lead with breakthrough insights, and enable organizations through Advanced Analytics and Internet of Things (IoT) solutions, unlocking lasting and tangible benefits for our clients. At Ko&ccedil;Digital, you&rsquo;ll have the opportunity to work with clients across a range of industries, applying cutting-edge analytics to drive practical results and innovations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Profile
  </strong>
 </p>
 <p>
  We are seeking strong candidates with advanced analytics skills to start an exciting career at Ko&ccedil;Digital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you&rsquo;ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Time Series &amp; Forecasting Model Development
 </p>
 <p>
  &bull; Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
 </p>
 <p>
  &bull; Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
 </p>
 <p>
  &bull; Optimization &amp; Predictive Analytics
 </p>
 <p>
  &bull; Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
 </p>
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  &bull; Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
 </p>
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  &bull; Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
 </p>
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  &bull; Machine Learning Engineering &amp; Model Deployment
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  &bull; Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
 </p>
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  &bull; Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
 </p>
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  &bull; Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
 </p>
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  &bull; Cross-Functional Collaboration
 </p>
 <p>
  &bull; Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
 </p>
 <p>
  &bull; Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 </p>
 <p>
  &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field
 </p>
 <p>
  &bull; Proficiency in Python and SQL for data manipulation, analysis, and model development.
 </p>
 <p>
  &bull; Familiarity with database systems, data lakes, and warehousing solutions.
 </p>
 <p>
  &bull; Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
 </p>
 <p>
  &bull; Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
 </p>
 <p>
  &bull; Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
 </p>
 <p>
  &bull; Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
 </p>
 <p>
  &bull; Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
 </p>
 <p>
  &bull; Domain Knowledge
 </p>
 <p>
  &bull; Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
 </p>
 <p>
  &bull; Knowledge of edge computing and IoT integration for smart factories is a plus.
 </p>
 <p>
  &bull; Analytical &amp; Business Acumen
 </p>
 <p>
  &bull; Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
 </p>
 <p>
  &bull; Excellent verbal and written communication skills in English.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   Impactful Work
  </strong>
  : Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
 </p>
 <p>
  &bull;
  <strong>
   Innovative Environment:
  </strong>
  Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
 </p>
 <p>
  <strong>
   &bull; Professional Growth:
  </strong>
  Access to continuous learning and development opportunities, including industry conferences and technical workshops.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Akademi Plus - Technical and Personal Development Trainings
  </li>
  <li>
   Ko&ccedil; Group and internal career opportunities/rotations
  </li>
  <li>
   On-campus sports center and Ko&ccedil; Community Sports Club opportunities
  </li>
  <li>
   Flextra - Flexible benefits package
  </li>
  <li>
   Social Support Payments
  </li>
  <li>
   Mobile phone and internet
  </li>
  <li>
   TokenFlex digital meal card
  </li>
  <li>
   Birthday leave
  </li>
  <li>
   The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Data Scientist (Manufacturing Focused)

General Mills

<div>Job Description:
<div><div><div>
Position Title</div><div><br>
Senior Analyst</div><div><br>
Function/Group</div><div><br>
Sales Strategy &amp; Intelligence</div></div><div><div><br>
Location</div><div><br>
Mumbai</div><div><br>
Shift Timing</div><div><br>
01:30 PM &ndash; 10:30 PM</div></div><div><div><br>
Role Reports to</div><p><br>
Manager/Senior Manager</p><div><br>
Remote/Hybrid/in-Office</div><div><br>
Hybrid</div></div></div><div></div><div><b><br>
ABOUT GENERAL MILLS</b></div><div><br>
We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H&auml;agen-Dazs, we&rsquo;ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.<br>
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate
<br>
us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com<br>
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.<br>
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in<br>
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.</div><div><b><br>
JOB OVERVIEW</b></div><div></div><div><b><br>
Function Overview</b></div><div>
GIC Sales Strategy &amp; Intelligence team partners with our global General Mills sales teams in providing them with analytical horsepower and enable business continuity so they can focus on core activities &ndash; Selling, driving distribution gains and optimizing merchandising plans to deliver sales volume targets. We enable customer, pricing &amp; promotion strategies across the global markets through our focused capabilities of Sales Execution, Trade &amp; Strategic Revenue Management and Category Management. Teams within function are aligned to the above focused capabilities for each of our markets and each team member specializes in domains of Advanced Analytics, Visual Insights &amp; Planogramming.</div><div>
We are a family of Data analysts, Business analysts and Business Consultants with diverse opinions, cultures and passions and are united by our desire to serve the world by making food people love. We apply the principles of analytics to everything we do, constantly experimenting to discover new ways to add value to our stakeholders, customers and team members.</div><div>
For more details about the Function please visit this Link</div><div>
Purpose of the role</div><div>
The role will be responsible for supporting the North America Foodservices (NAF) business teams. The ideal candidate should play a part as the primary steward of NAF&rsquo;s Account Targeting and Sales Lead execution. The analyst will be hands-on in quiring, combining, harmonizing and packaging data in support of Sales Leads process. The focus is to deliver high value account targets in a timely manner to our field sale team. This team member will independently build a seamless rapport with overseas points of contact, and initiate business requests, by providing expertise with blending &amp; synthesizing disparate datasets, and high attention to details.</div><div></div><div><p><b><br>
KEY ACCOUNTABILITIES</b></p></div><div><ul><li><br>
Take direction/scope for Sales Lead campaigns</li><li>Query/extract data from multiple systems to support campaign scope</li><li>Combine data sets into ad-hoc data models</li><li>Perform data cleansing and harmonization steps</li><li>Apply advanced analytics/modelling techniques to surface top opportunities</li><li>Package final deliverables as needed for end users</li><li>Partner with Data Foundation on new data needs for forecasting capabilities</li><li>Create/apply predictive models in existing self-service tools (ex: CRMA)</li><li>Lay foundation for future integration of AI capabilities</li></ul></div><div></div><div><div><p><b><br>
MINIMUM QUALIFICATIONS</b></p></div></div><p></p><div><br>
Experience-</div><div><div><p>
Min. years of related experience required:</p><p><br>
4-6 years of relevant Data Synthesizing, Data Harmonizations, Business Reporting experience in CPG (or related) industry, Advance Analytics, Data Modelling expertise are preferred</p></div><div><p><br>
Preferred years of related experience:</p><p><br>
5-6 years of Business Reporting, Analytics &amp; Visualization experience in CPG/FMCG industry on Sales, Trade, eCommerce, Revenue Management Skills</p></div></div><div></div><div><b><br>
Education</b></div><div>
-Full time graduation from an accredited university (Mandatory- Note: This is the minimum education criteria which cannot be altered)<br>
<ul><li>Strong command over oral and written English</li><li>Multitasking ability - work on a host of tools/databases and software/platforms effectively to manifest superior results</li></ul></div><div></div><div><b><br>
PREFERRED SKILLS/EXPERIENCES:</b></div><ul><li>Advanced analytics &amp; Modelling techniques</li><li>SQL, R, Python</li><li>Business and technical aptitude
</li><li>Ability to blend and synthesize disparate datasets</li><li>Hand on keyboard willingness</li><li>Moderate to advanced Excel skills</li><li>Critical thinking and problem solving</li><li>Attention to detail</li><li>High collaboration with US based counterparts</li></ul></div><div></div>

Senior Analyst, Sales & Commercial Capabilities

Abbott

<div><h2 class="jobSectionHeader"><b>Assistant Manager &ndash; Analytics Specialist</b></h2><h2 class="jobSectionHeader"><b>
Location: Mumbai BKC OAW</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Job Description: Abbott Healthcare is seeking an Analytics professional to deliver actionable intelligence through descriptive analytics and statistics, as well as drive performance of deployed analytical models to ensure accuracy and alignment with business objectives.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Job Responsibilities: &bull; Conduct descriptive and exploratory data analysis based on the business problem, and deliver understandable and actionable intelligence to the stakeholders</b></h2></li><li><h2 class="jobSectionHeader"><b>
&bull; Monitor deployed analytical models for performance, accuracy, and business relevance &bull; Conduct root-cause analysis and implement corrective actions to improve model outcomes</b></h2></li><li><ul><li><b>Collaborate with data scientists and business stakeholders to refine models based on feedback and evolving business needs</b></li></ul></li><li><ul><li><b>Develop dashboards and reporting using MS Excel and Power BI, to track model KPIs and business impact</b></li></ul></li><li><ul><li><b>Identify opportunities for continuous improvement in analytics processes and tools. Knowledge and Skills Requirement:</b></li></ul></li><li><h2 class="jobSectionHeader"><b>
&bull; Strong quantitative aptitude and problem-solving skills &bull; Strong in data analysis using Python and Advanced Excel; applied knowledge of statistics is required &bull; Ability to build dashboards using MS Excel and Power BI &bull;</b></h2></li><li><h2 class="jobSectionHeader"><b>
Basic to intermediate knowledge of advanced analytics, and machine learning models &ndash; time series, regression, classification and clustering algorithms &bull; Proactive mindset, and ability to handle multiple projects in fast-paced environment</b></h2></li><li><h2 class="jobSectionHeader"><b>
Education Qualification: Masters/ Bachelor&rsquo;s Degree in Statistics/ Mathematics/ Engineering Work Experience: 2 &ndash; 4 years of experience in Data Analytics or related fields</b></h2></li></ul></div>

Analyst

Employee Hub

<p>Job Description &ndash; Python Specialist Data Engineer</p><p><b>Job Title:</b> Python Specialist Data Engineer<br/><b>Experience:</b> 5&ndash;8 Years<br/><b>Employment Type:</b> Full-Time<br/><b>Location:</b> Open / As per project requirement</p><p>Role Overview</p><p>We are seeking an experienced <b>Python Specialist Data Engineer</b> with strong hands-on expertise in <b>Azure Data Services</b>. The role focuses on building scalable data pipelines, cloud-based data solutions, and supporting analytics and business intelligence initiatives.</p><p>Key Responsibilities</p><ul><li>Develop, optimize, and maintain scalable data pipelines using <b>Python</b></li><li>Design end-to-end data solutions using <b>Azure Synapse Analytics</b> and <b>Azure Data Lake</b></li><li>Build data models, transformations, and workflows for analytics and reporting</li><li>Implement CI/CD pipelines and deployment automation using <b>Azure DevOps</b></li><li>Work with <b>MS SQL Server, T-SQL, and PL/SQL</b> for data warehousing solutions</li><li>Ensure best practices for data ingestion, transformation, quality, and security</li><li>Collaborate with data scientists, analysts, and business stakeholders</li><li>Monitor performance and troubleshoot data platform issues</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>Strong proficiency in <b>Python</b> for ETL/ELT and data processing</li><li>Hands-on experience with <b>Azure Synapse, Data Lake (Gen2), Logic Apps, Azure DevOps</b></li><li>Solid understanding of <b>data warehouse concepts</b> (star/snowflake schema)</li><li>Advanced skills in <b>SQL and PL/SQL</b></li><li>Experience integrating structured and unstructured data sources</li><li>Knowledge of cloud data security, governance, and compliance</li></ul><p>Preferred Qualifications</p><ul><li>Azure certification (DP-203 or equivalent)</li><li>Experience with <b>Git</b> and version control</li><li>Knowledge of <b>Azure Data Factory</b></li><li>Exposure to <b>Agile/Scrum</b> methodologies</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹1,474,883.14 - ₹2,820,204.87 per year</p><p>Benefits:</p><ul><li>Food provided</li><li>Health insurance</li><li>Provident Fund</li></ul><p>Experience:</p><ul><li>data Engineering: 6 years (Required)</li></ul><p>Location:</p><ul><li>Chennai, Tamil Nadu (Required)</li></ul><p>Work Location: In person</p>

Senior Data Engineer

<div><p><b>Line of Service
</b></p><p></p><p><b>Industry/Sector
</b></p><p></p><p><b>Specialism
</b></p><p></p><p><b>Management Level
</b></p>Senior Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
<br>
<br>
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
<p></p><div><div><p>We are seeking a highly skilled <b>Insights </b><b>Reporting Specialist </b>to support the creation of high-quality reporting outputs for large-scale research and analytics projects. The role requires advanced Excel capability, strong data literacy, and the ability to translate complex datasets into clear, impactful reporting dashboards and narrative insights.
</p></div><div><p>This position suits someone who is analytical, detail-oriented, and passionate about creating efficient and automated reporting processes using Excel, AI tools, and other data manipulation methods.
</p></div><div><p>The Insights Reporting Specialist will play a critical role in delivering accurate , engaging reporting outputs that help clients and internal teams understand complex data quickly and effectively. This role is central to driving efficiency and insights through advanced Excel work, automation, and strong storytelling.
</p></div><div><p>Key Responsibilities
</p></div><div><p><b>Reporting Production &amp; Data Handling
</b></p></div><div><ul><li><p>Build and maintain <b>complex Excel-based reporting tools </b>and dashboards using advanced formulas, structured references, and dynamic layouts.
</p></li></ul></div><div><ul><li><p>Perform robust <b>data manipulation </b>using Excel and other tools to prepare, clean, join, and restructure datasets.
</p></li></ul></div><div><ul><li><p>Conduct <b>two-dimensional lookups </b>, advanced sorts, filters, data merges, and transformative operations to consolidate inputs from multiple sources.
</p></li></ul></div><div><ul><li><p>Design and produce high-quality <b>Excel charts, visualisations, and dashboards </b>to meet client and internal reporting needs.
</p></li></ul></div><div><p><b>Data Literacy &amp; Analysis
</b></p></div><div><ul><li><p>Demonstrate strong <b>data literacy </b>, understanding data fundamentals, structures, joins, and quality considerations.
</p></li></ul></div><div><ul><li><p>Carry out <b>general data analysis </b>such as descriptive analysis, trends, comparisons, and exceptions.
</p></li></ul></div><div><ul><li><p>Interpret data patterns and work with analysts to integrate context and explain results clearly.
</p></li></ul></div><div><p><b>QA &amp; Process Excellence
</b></p></div><div><ul><li><p>Conduct thorough <b>quality assurance (QA) </b>checks across all reporting outputs to ensure accuracy and consistency.
</p></li></ul></div></div><div><div><ul><li><p>Maintain strong version control and documentation of reporting processes.
</p></li></ul></div><div><ul><li><p>Identify opportunities to <b>improve efficiency through AI, automation, and advanced Excel techniques </b>, contributing to continuous process improvement.
</p></li></ul></div><div><p><b>Communication &amp; Storytelling
</b></p></div><div><ul><li><p>Translate complex data findings into <b>clear, concise narratives </b>appropriate for business stakeholders.
</p></li></ul></div><div><ul><li><p>Present data in a structured, story-led format that highlights key insights and implications.
</p></li></ul></div><div><ul><li><p>Collaborate with analysts, project managers, and delivery teams to understand reporting requirements and ensure outputs meet expectations.<br>
</p></li></ul></div><p></p><div><p>Required Skills &amp; Experience
</p></div><div><p><b>Technical Skills
</b></p></div><div><ul><li><p><b>Advanced Excel </b><b>expertise </b>, including:
</p></li></ul></div><div><ul><li><p>Nested formulas, LET/LAMBDA functions, dynamic arrays, two-way lookups
</p></li></ul></div><div><ul><li><p>INDEX/MATCH/XLOOKUP
</p></li></ul></div><div><ul><li><p>Sorting, filtering, conditional logic, text manipulation
</p></li></ul></div><div><ul><li><p>Pivot tables and pivot charts
</p></li></ul></div><div><ul><li><p>Advanced Excel charting and dashboard techniques<br>
</p></li></ul></div><p></p><div><ul><li><p>Design and produce high-quality <b>Excel charts, visualisations, and dashboards </b>to meet client and internal reporting needs, this includes complex manipulation of charts in order to support chart customisation features.
</p></li></ul></div><div><ul><li><p>Strong <b>data manipulation </b>skills and comfort working with structured datasets from multiple sources.
</p></li></ul></div><div><ul><li><p>Demonstrated <b>data literacy </b>, including understanding of data types, structures, metadata, and common data issues.
</p></li></ul></div><div><ul><li><p>Experience producing well-structured, scalable reporting outputs for recurring delivery cycles.
</p></li></ul></div></div><div><div><ul><li><p>Proven experience using <b>AI tools </b>(e.g., ChatGPT, Copilot, AI Excel tools) to build efficiencies, generate formulas, enhance QA, or automate tasks.<br>
</p></li></ul></div><p></p><div><p>Professional Skills
</p></div><div><ul><li><p>Strong analytical thinking and problem-solving skills.
</p></li></ul></div><div><ul><li><p>Excellent written and verbal communication skills, with the ability to translate data into meaningful insights.
</p></li></ul></div><div><ul><li><p>High attention to detail and commitment to accuracy.
</p></li></ul></div><div><ul><li><p>Ability to manage multiple tasks and deliver high-quality outputs under tight timelines.
</p></li></ul></div><div><ul><li><p>A proactive mindset with a drive for innovation, automation, and process standardisation.
</p></li></ul></div><div><p>Desirable Experience
</p></div><div><ul><li><p>Experience with basic scripting or automation tools (e.g., Alteryx, or VBA).
</p></li></ul></div><div><ul><li><p>Experience in research, analytics, or reporting-focused delivery environments.
</p></li></ul></div><div><ul><li><p>Understanding of data visualisation best practices and principles.<br>
</p></li></ul></div></div><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Insights Reporting, Senior Associate

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