advanced analytics associate

SnA Consulting

<div>
 
 
 About the job
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 
 We&rsquo;re looking for recent graduates to join our analytics consulting team. Ideal candidates will be familiar (or completed coursework) in the following:
 
 
 
 
 <ul>
 <li>
 Mid-level statistics (including multivariable methods),
 </li>
 <li>
 Database management systems (including relational data modeling)
 </li>
 <li>
 Open source data science software (Python or R)
 </li>
 </ul>
 
 
 
 
 At SnA, you will be trained as an Associate Analytics Consultants. Our associates are responsible for analyzing large and complex datasets, applying various quantitative methods to interpret information and generating insights that lead to business recommendations. They also work on training, validation and implementation of predictive statistical models.
 
 
 
 
 
 This position requires a combination of technical skills and research, communication, presentation skills.
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Business, Finance, Marketing, Economics, Industrial Engineering, Computer Science from a reputable institution,
 </li>
 <li>
 General understanding of applied statistical concepts,
 </li>
 <li>
 Curiosity for knowledge in open source tools is a must,
 </li>
 <li>
 Being comfortable using SQL for data analysis and reporting purposes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
</div>

Associate Data Analytics Consultant - New Graduate (Entry Level)

<div>Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics &amp; AI
Management Level
Associate
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
<div>*Why PWC
</div><div>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</div><div>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. &quot;
</div><div></div><div>Responsibilities:
Position responsibilities and expectations &middot; Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. &middot; Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. &middot; Ability to learn new scripting language or analytics platform. Technical Skills required (must have) &middot; HandsOn Exposure to Generative AI (Design, development of GenAI application in production) &middot; Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. &middot; Strong understanding of deploying and optimizing AI application in production. &middot; Strong knowledge of statistical and data mining techniques like Linear &amp; Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. &middot; Strong knowledge of DL &amp; Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) &middot; Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. &middot; Experience in advanced Text Analytics (NLP, NLU, NLG). &middot; Strong hands-on experience of end-to-end statistical model development and implementation &middot; Understanding of LLMOps, ML Ops for scalable ML development. &middot; Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). &middot; Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. &middot; Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) &middot; Experience in video/ image analytics (Computer Vision) &middot; Experience in IoT/ machine logs data analysis &middot; Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME &middot; Expertise in Cloud analytics platforms (Azure, AWS or Google) &middot; Experience in Process Mining with expertise in Celonis or other tools &middot; Proven capability in using Generative AI services like OpenAI, Google (Gemini) &middot; Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.)
&middot; Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. &middot; Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion
Mandatory skill sets:
AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit
Preferred skill sets:
AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit
Years of experience required:
2-5 Years
Education qualification:
BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths)
</div>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Doctor of Philosophy
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Chatbots, Data Structures, Generative AI
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning (ML), Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

IN_Associate_Data Scientist Gen AI_Data & Analytics_Advisory_Bangalore

JPMorganChase

<div>JOB DESCRIPTION 
Job Description 
The Commercial and Investment Bank Chief Analytics Office is responsible for accelerating the Analytics agenda globally across Markets Trading, Sales &amp; Research, Payments, Securities Services, and Global Banking-promoting the integration of advanced analytics and artificial intelligence into business strategies to deliver measurable commercial impact. 
The responsibilities of the Chief Analytics Office include advancing both traditional artificial intelligence/machine learning and generative artificial intelligence capabilities, identifying priorities and focusing on high-impact artificial intelligence use cases, setting the Generative AI strategy around Large Language Models and Agentic AI, reusing and scaling AI solutions across lines of business, fostering a culture of innovation and an AI-first mindset among employees. 
As an Embedded AI Senior Associate within the Chief Analytics Office of the Commercial and Investment Bank, you will be tasked with accelerating the most impactful and high-priority AI programs across the CIB-Markets Business, which require frontier AI transformation. This team embeds into the business for the duration of each special program and works in close partnership with subject matter experts, as well as the Analytics and Technology teams in the business. This ensures the solutions are delivered end-to-end, while ensuring responsible use of AI in compliance with internal policies, laws, and regulations, with regular progress updates being shared with senior leadership / C-Suite management. As part of its mandate, the Embedded AI team will devote time to remain up-to-date with cutting-edge research in AI. 
Job responsibilities<ul>
<li>Work closely with subject matter experts to learn about the business and identify innovative AI solutions.</li>
<li>Conduct thorough analysis of quantitative and qualitative data available to produce clear, actionable insights and recommendations for the business</li>
<li>Collaborate with in business Analytics and Technology teams for the end-to-end delivery of the AI solutions</li>
<li>Assimilate information and communicate complex analyses and recommendations effectively to senior executive stakeholders across the organization</li>
<li>Remain up-to-date with latest progress and breakthrough in the AI community</li></ul> 
Required qualifications, capabilities and skills<ul>
<li>Deep expertise in both traditional AI/ML and generative AI</li>
<li>Curiosity, humility and willingness to learn about the CIB businesses working side-by-side with business experts</li>
<li>Passion for problem solving and innovative (out of the box) thinking</li>
<li>Ability to learn complex business problem statements and re-formulate in simple terms, and to distill complex data into actionable insights</li>
<li>Exceptional attention to detail and a commitment to accuracy</li>
<li>Proficiency in Python, orchestration frameworks, SQL and other analytical tools</li></ul> 
Preferred qualifications, capabilities and skills<ul>
<li>Experience or understanding of Financial Services</li>
<li>Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization</li>
<li>Deep expertise in statistical analysis, experimental design, and causal inference</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Markets Embedded AI ML - Associate

<div>JOB DESCRIPTION 
Description 
The JPMorgan Chase SMB Payments Analytics team is dedicated to cultivating a data-driven culture and empowering fact-based decision-making. Our Business Analytics division champions this mission by delivering data and fostering the integration of analytics insights. We are seeking a Data Associate to elevate our analytics capabilities.
Job Summary: 
As a Data Associate within the Analytics Team, you will play a pivotal role in identifying key metrics and conducting comprehensive analyses to inform business strategies. You will work collaboratively with cross-functional teams, including Product, Sales, Marketing, Account Management, and Risk, to promote product upselling and cross-selling, enhancing both partner and merchant experiences. The ideal candidate will possess the ability to frame business challenges, design suitable analyses, and demonstrate fluency in SQL, Python, and other big data methodologies. You should excel at deriving insights and crafting narratives to support strategic initiatives.
Job Responsibilities:<ul><li>
Partner with various departments to develop insights and analytic solutions tailored to client needs.</li><li>
Perform in-depth analyses and construct statistical models to uncover trends and key drivers influencing product, sales, risk, and operational decisions.</li><li>
Design and enhance data visualizations using existing tools or by developing new ones, while improving business dashboards.</li><li>
Implement processes and develop tools to enhance data access, extraction, and analysis efficiency.</li><li>
Cultivate and maintain relationships with internal teams to proactively identify and address business needs through analytics.</li></ul>
Required qualifications, capabilities and skills:<ul><li>
4+ years of experience in quantitative data analysis
</li><li>B.S. or M.S. in a quantitative discipline, such as Statistics, Applied Mathematics, Engineering, or Computer Science, from a prestigious institution.</li><li>
Proficiency in SQL and experience with statistical software or programming languages such as R or Python.</li><li>
Experience with data visualization and BI tools like Looker or Tableau.</li><li>
Exceptional attention to detail and organizational skills.</li><li>
Ability to tackle ambiguously defined problems, devise creative solutions, and meet tight deadlines.</li><li>
Excellent communication and presentation skills, with the ability to translate data into actionable insights.</li><li>
A collaborative team player who thrives in working with teams across the company to achieve shared objectives.</li></ul>
Preferred qualifications, capabilities and skills:<ul><li>
Data analysis preferably within the online payments industry.</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Payments - Analytics & Reporting- Data Scientist Associate

Bain & Company

<div>
 
 
 Bain &amp; Company is a global management consulting firm that helps the world&rsquo;s most ambitious change makers define the future. Across 67 offices in 41 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.&nbsp;
 
 
 
 
 &nbsp;
 
 Who you will work with
 
 
 
 
 
 The Reporting &amp; Analytics Associate position is based in Bain&rsquo;s GBS Gurugram office and is part of a team which provides business intelligence support on key metrics to global functions (not external clients) at Bain. The major responsibilities of the role include supporting recurring and ad-hoc analytics on key metrics as required by leadership, using automated data processing and visualization tools by
 
 
 <ul>
 <li>
 
 Building new workflows and dashboards using Alteryx (or other EDA tools) and Tableau (or other visualization tools) respectively
 
 </li>
 <li>
 
 Refreshing and maintaining dashboards on Tableau, along with optimization of Alteryx workflow
 
 </li>
 <li>
 
 Developing expertise on key Bain data sources to deliver effective output
 
 </li>
 </ul>
 
 
 
 
 What you&rsquo;ll do
 
 
 
 
 
 
 
 
 Applies and builds technical expertise of Data Visualization and Data Analysis (EDA) tools like Alteryx, Tableau, etc.
 
 
 
 
 <ul>
 <li>
 
 Building new workflows and dashboards using Alteryx (or other EDA tools) and Tableau (or other visualization tools) respectively
 
 </li>
 <li>
 
 Refreshing and maintaining dashboards on Tableau, along with optimization of Alteryx workflow
 
 </li>
 <li>
 
 Developing expertise on key Bain data sources to deliver effective output
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 
 Problem Solving
 
 
 
 
 <ul>
 <li>
 
 Uses structured approach to frame the problem, manage the work and define next steps
 
 </li>
 <li>
 
 Uses logic and reasoning to assess strengths and weaknesses of alternative data analytics approaches, to drive the output in day-to-daywork
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 
 Stakeholder Management
 
 
 
 
 <ul>
 <li>
 
 Working directly with direct global stakeholders demonstrating effective communication
 
 </li>
 <li>
 
 Translate user requirements into required output
 
 </li>
 <li>
 &nbsp;
 
 Perform recurring tasks independently
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 
 About You
 
 
 
 
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 
 First class undergraduate/postgraduate from leading and reputed colleges.&nbsp;
 
 &nbsp;Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred
 
 </li>
 <li>
 
 2-4 years (graduates) or 0-2 years (post-graduates) of relevant experience working with large, multi-dimensional data sets and developing different types of visualizations
 
 </li>
 <li>
 
 Strong skills in Microsoft Excel, PowerPoint required along with working knowledge of data analytics software such as Alteryx, Tableau etc. as well as passion for automation of processes/reporting using these tools
 
 </li>
 <li>
 
 Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders
 
 </li>
 <li>
 
 Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines
 
 </li>
 <li>
 
 Experience with other BI Tools and demonstrate capacity to understand and/or adopt/learn new tools.
 
 </li>
 </ul>
</div>

Associate, Reporting & Analytics

<div><ul><li>Education: A bachelor&rsquo;s degree in business, Computer Science, Statistics, Information Management, or a related quantitative field. Masters is preferred.
</li><li>Experience: 2-3 years of experience in business intelligence, data analysis, or a similar analytical position, preferably within the banking or financial services sector.
</li><li>Technical Skills:
<ul><li>Proficiency in SQL for data extraction and manipulation.
</li><li>Hands-on experience with BI and data visualization tools (e.g., Microsoft Power BI, Tableau).
</li><li>Strong knowledge of Microsoft Excel (including pivot tables, advanced functions) and other MS Office products.
</li><li>Familiarity with data warehousing concepts, ETL (Extract, Transform, Load) processes, and data modeling (e.g., star schema).
</li><li>Knowledge of programming languages like Python or R for advanced analytics is a plus.
</li></ul></li><li>Soft Skills:
<ul><li>Strong analytical and critical thinking abilities with keen attention to detail.
</li><li>Excellent written and verbal communication skills, with the ability to present complex findings to a non-technical audience.
</li><li>Problem-solving skills and intellectual curiosity to explore data for insights.
</li><li>Ability to work independently and collaboratively in a fast-paced environment and manage multiple priorities.
</li><li>Strong business acumen and understanding of the banking industry's drivers and trends.</li></ul></li></ul></div>
 <div><ul><li>Education: A bachelor&rsquo;s degree in business, Computer Science, Statistics, Information Management, or a related quantitative field. Masters is preferred.
</li><li>Experience: 2-3 years of experience in business intelligence, data analysis, or a similar analytical position, preferably within the banking or financial services sector.
</li><li>Technical Skills:
<ul><li>Proficiency in SQL for data extraction and manipulation.
</li><li>Hands-on experience with BI and data visualization tools (e.g., Microsoft Power BI, Tableau).
</li><li>Strong knowledge of Microsoft Excel (including pivot tables, advanced functions) and other MS Office products.
</li><li>Familiarity with data warehousing concepts, ETL (Extract, Transform, Load) processes, and data modeling (e.g., star schema).
</li><li>Knowledge of programming languages like Python or R for advanced analytics is a plus.
</li></ul></li><li>Soft Skills:
<ul><li>Strong analytical and critical thinking abilities with keen attention to detail.
</li><li>Excellent written and verbal communication skills, with the ability to present complex findings to a non-technical audience.
</li><li>Problem-solving skills and intellectual curiosity to explore data for insights.
</li><li>Ability to work independently and collaboratively in a fast-paced environment and manage multiple priorities.
</li><li>Strong business acumen and understanding of the banking industry's drivers and trends.</li></ul></li></ul></div>

Associate Analyst BI and Advanced Data Analytics

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 Description
 
 
 
 <ul>
 <li>
 Within the Strategy &amp; Analytics team, Property Finder is looking for a Commercial Analytics Associate who will be responsible for partnering with commercial team in order to analytically create the best in class tools for Business Consultants to evaluate client performance and identify pockets of opportunities.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 End-to-end ownership of workstreams to deliver analytics-driven solutions
 </li>
 <li>
 Highlight opportunities both internally and at a client facing level to show how customers and Property Finder can maximize ROI.
 </li>
 <li>
 Build Visual reporting tools that will engage our customers in a way that makes our data easy to digest and understand whilst giving actionable insights for them to improve ROI
 </li>
 <li>
 Responsible for high-priority data requests &amp; reporting for the Commercial team
 </li>
 <li>
 Ability to create data driven sales stories that drive growth opportunities within all customer segments
 </li>
 <li>
 Recommend strategic and tactical pricing changes
 
 
 </li>
 </ul>
 
 Desired Experience:
 
 
 
 <ul>
 <li>
 3+ years of experience working as analyst in a reputable tech company or a top tier management consulting company
 </li>
 <li>
 Exceptional SQL and Tableau knowledge
 </li>
 <li>
 Experience in putting together presentations for senior audiences with a storyline
 </li>
 <li>
 Exceptional analytical and quantitative problem-solving skills
 </li>
 <li>
 Having an eye on detail, immediately picking up issues on trends.
 </li>
 <li>
 A dynamic, focused and self-motivated person with ability to manage multiple tasks simultaneously
 </li>
 <li>
 Fluency in English
 
 
 </li>
 </ul>
 
 Required Educational Qualification
 
 :
 
 
 <ul>
 <li>
 Graduate/Postgraduate from top tier institute
 
 
 </li>
 </ul>
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 
 
 </li>
 </ul>
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
</div>

Associate, Commercial Analytics

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