data analytics consultant

Takamol Holding

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Are you a recent graduate passionate about creating impact through strategy, innovation, and policy? Takamol invites ambitious individuals to join our 1-year development program designed to launch your career as a Generalist
 <strong>
  Management Consultant
 </strong>
 and prepare you to specialize in fields that shape the future.
 <br/>
 <br/>
 <strong>
  As a Management Consultant At Takamol, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on national projects across diverse sectors (labor market, digital transformation, social development, and more)
  </li>
  <li>
   Collaborate with experienced consultants and policy experts
  </li>
  <li>
   Learn consulting frameworks, research methodologies, and stakeholder engagement skills
  </li>
  <li>
   Receive mentorship and on-the-job training tailored to fast-track your development
  </li>
  <li>
   Specialize in key areas such as strategy, public policy, data &amp; analytics, or service/product design and digital transformation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fresh graduate in the following majors (Engineering, Economics, Statistics, Computer Science (Information Systems), Public Policy)
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Excellent communication and teamwork abilities
  </li>
  <li>
   Passion for learning and working in a dynamic environment
  </li>
  <li>
   High proficiency in Microsoft Office (especially PowerPoint and Excel)
  </li>
  <li>
   Professional fluency in English (Arabic is a plus)
  </li>
 </ul>
</div>


T-Cube - Advisory Consultant

EPAM Systems

<div><p>We are seeking a highly skilled <b>Business Analytics Consultant</b> to join our team and help us leverage data to drive business improvements and innovation. The ideal candidate will have an extensive background in data analytics, business intelligence, and strategic consulting.</p><p><b>
Responsibilities</b></p><ul><li>
Collaborate with stakeholders to understand business needs and convert them into actionable data strategies</li><li>
Identify data-driven initiative opportunities that deliver measurable business value</li><li>
Develop product data roadmaps aligned with business objectives</li><li>
Conduct discovery sessions to establish key KPIs, success metrics, and data solutions</li><li>
Deliver insights into product usage and customer behaviors to support sales and customer engagement efforts</li><li>
Use data storytelling techniques to present findings and influence executive-level stakeholders</li><li>
Lead cross-functional teams in defining, scoping, and delivering important data projects</li><li>
Monitor market trends and emerging technologies to spot growth opportunities</li><li>
Promote the adoption of data analytics products across various business lines and regions</li><li>
Provide consultancy on business process improvement initiatives based on data insights</li><li>
Drive the adoption of predictive analytics tools for business forecasting</li><li>
Act as a primary contact for enterprise data analytics and data governance initiatives</li><li>
Educate teams on effective data-driven decision-making strategies</li><li>
Manage team resources and project timelines</li></ul><p><b>
Requirements</b></p><ul><li>
Strong experience with business intelligence tools such as Power BI, Tableau, or QlikView</li><li>
Advanced data storytelling and presentation skills</li><li>
Extensive expertise in one or more industry sectors as a subject matter expert in strategic business consulting</li><li>
Familiarity with Agile methodologies</li><li>
Competency in interpersonal and communication skills for engaging stakeholders</li><li>
Background in a product-thinking mindset and a process-driven problem-solving approach</li></ul><p><b>
Nice to have</b></p><ul><li>
Experience with customer journey analytics and CRM tools to optimize user experiences</li><li>
Financial expertise, including standard metrics calculation and predictive models for forecasting future cash flows</li><li>
Knowledge of the Oil &amp; Gas sector, encompassing field development to sales performance, profitability, and production efficiency analysis</li><li>
People management skills</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Business Analytics Consultant

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 89264
</div></div></div></div><div><div><div><div>Date: Oct 16, 2025
</div></div></div></div><div><div><div><div>Location: Delhi CEC
</div></div></div></div><div><div><div><div>Designation: Senior Consultant
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div><p><b>The Opportunity: </b><b><i>(Brief Overview of the Role)</i></b></p><p></p><p><br>
We are seeking a highly skilled Data Scientists to collaborate and empower HSBC Wealth and Personal Banking Contact Centre Data and Analytics team through advanced analytics, AI/ GEN-AI, ML, and NLP initiatives. The ideal candidate should be proficient in using large data sets, translating complex business problems into analytical frameworks, and designing robust, industry-standard solutions. They must possess expertise in building and implementing AI/ML (supervised/ unsupervised) models and algorithms in a production environment. Top-notch expertise with data mining and analysis methods using Python and various related packages/ modules is a must have, including a proven track record of driving business outcomes through data-centric solutions and insights. They should have a passion for discovering hidden opportunities and solutions by leveraging large data sets to improve business outcomes.</p><p>
<b>What you&rsquo;ll do: </b><b><i>(List out Key Responsibilities)</i></b></p><p></p><ul><li><br>
Research and devise innovative ML and Deep Learning algorithms for given problems.</li><li>Execute analytical experiments to solve problems across various domains and industries.</li><li>Perform data analysis (including cleaning, validation, and error analysis) and utilize algorithms/models to mine big-data stores, improving model accuracy.</li><li>Possess deep knowledge of Deep Learning and AI Architectures, including Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memory, and Large Language Models (LLMs).</li><li>Maintain and improve existing ML and Deep Learning algorithms to meet stakeholder-agreed success criteria and deploy models in production.</li><li>Define and continuously improve feature engineering processes to ensure relevant feature usage, considering varying business constraints.</li><li>Deliver end-to-end analytical solutions supporting business operations, requiring hands-on experience with tools and scripting languages like SQL, NOSQL, Python.</li><li>Drive innovation for self and team to deliver incremental business value.</li><li>Understand business issues and context, develop frameworks for solving unstructured problems, and articulate clear, actionable, analytics-driven solutions.</li><li>Work with LLMs using prompt engineering and Retrieval Augmented Generation (RAG).</li><li>Work proficiently within an agile/scrum methodology.</li><li>Proactively identify and actively work towards closing process gaps.</li><li>Ensure high-quality delivery of models, analyses, and insights.</li></ul><p>
<b>What you will need to succeed in the role: </b><b><i>(Minimum Qualification and Skills Required)</i></b></p><p></p><ul><li><br>
M. Tech / Master&rsquo;s Degree / PhD in Computer Science / Mathematics / Statistics or other quantitative fields
</li><li>Experience of delivering Data Science projects with specializations in Deep Learning &amp; NLP</li><li>Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes.
</li><li>Deep knowledge of math, probability, statistics, and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised Learning
</li><li>Deep analytical thinking with excellent problem-solving abilities</li><li>Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.</li><li>Ability to balance and handle multiple concurrent tasks and/or issues simultaneously.</li><li>Ability to play a strong functional role while leading a project team to deliver analytic outcomes, collaborating with different functions and joined-up with Operations and Lines of Businesses to implement the solutions.
</li><li>Ability to prioritize activities while working under pressure and balance interactions.
</li><li>Ensure understanding and abiding by compliance framework for policies, data, systems etc. as per group, region, and local standards.</li><li>Strong engineering background/ experience in development of AI products</li></ul><p>
<b>What additional skills will be good to have?</b><b><i> (List out good to have skills and certifications)</i></b></p><ul><li><b><i>Experience in LMM/ SLM training and tuning, quantization</i></b></li><li><b><i>Strong Knowlege on Classical AI</i></b></li></ul><p></p><ul><li><br>
Hands on expertise on GCP native tools, Looker, Qlik Sense would be a plus</li><li>GCP Certification in PDE/GCA would be a plus.</li></ul></div></div></div></div></div><p></p>

Technology and Transformation - EAD-AI/ML-Generative AI-Senior Consultant

Styli

<div>
 <p>
  <strong>
   Role:
  </strong>
  Data Science - Analyst
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About STYLI
  </strong>
 </p>
 <p>
  STYLI Marketplace is an e-commerce brand founded in 2019 by Landmark Group, emerging as one of the largest fashion and beauty platforms in the GCC and India. With a strong focus on trendy, affordable fashion and beauty products, STYLI Marketplace brings over 40,000 styles to men, women, kids, and beauty enthusiasts, offering them the latest global trends delivered directly to their doorsteps.
 </p>
 <p>
  Our vision is to be the most aspirational value fast fashion and lifestyle destination, delivering seamless service excellence. We aim to create personalized experiences, engaging customers across all touchpoints, and continually expanding our curated selection to meet their evolving need states. STYLI has quickly become a leading player in the e-commerce fashion space across the GCC - Saudi Arabia, UAE, Bahrain, and Kuwait and in India
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Data Science - Analyst
  </strong>
  who is passionate about using advanced analytics to solve business and product challenges. You will work across teams to build models, forecasts, and optimization tools that drive smarter decision-making and operational efficiency.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Write complex SQL queries to analyze large datasets across product, operations, and customer domains.
  </li>
  <li>
   Build forecasting models for demand, supply, and operational KPIs.
  </li>
  <li>
   Conduct regression and statistical analyses to understand key performance drivers.
  </li>
  <li>
   Support optimization of pricing, promotions, and inventory with analytical models.
  </li>
  <li>
   Create dashboards and reports to enable self-serve analytics across teams.
  </li>
  <li>
   Work closely with business and product stakeholders to deliver actionable insights.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   3&ndash;5 years&rsquo; experience in Data Science Analytics or a related role.
  </li>
  <li>
   Strong SQL and Excel skills; experience with BI tools (Looker, Tableau, PowerBI).
  </li>
  <li>
   Knowledge of regression, forecasting, and optimization techniques.
  </li>
  <li>
   Exposure to
   <strong>
    ML concepts is a must
   </strong>
   (e.g., scikit-learn, Python/R).
  </li>
  <li>
   Strong problem-solving skills and business acumen.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Science - Analyst

Experian

<div>
 <strong>
  Company Description
  <br/>
  <br/>
 </strong>
 Ready to make a difference? Experian has evolved into a global tech company and specialized in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish &ndash; and we're not done.
 <br/>
 <br/>
 Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, experienced people and new ideas so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for Data Scientist Consultants to join our Experian Turkey Team!
 <br/>
 <br/>
 The role requires that you have a strong background in machine learning and data mining. A proven track record in project partnership and stakeholder management is essential. You will be a team player who is eager to both teach and learn on a daily basis, who is proactive and self-motivated and has excellent communication skills.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in a consultative way with Experian clients to identify problems and define, design, and deliver analytical solutions,
  </li>
  <li>
   Define and design solutions for the whole customer lifecycle and for regulatory parameter estimation and validation projects based on Experian Decision Analytics best practice solutions and present these to clients,
  </li>
  <li>
   Suggest market adequate solutions in the analytics and regulatory area and take responsibility for producing proposals,
  </li>
  <li>
   Demonstrate good project management skills and act as a project leader for delivering analytical projects,
  </li>
  <li>
   Prioritize workloads and provide mentoring and guidance to Data Analysts,
  </li>
  <li>
   Develop strong working relationships with managers and executives within client organizations to add value to client&rsquo;s business and achieve project objectives,
  </li>
  <li>
   Seek out opportunities that help grow the business,
  </li>
  <li>
   Actively contribute to winning new business from new and existing customers &ndash; nurture and enhance existing client relationships; identify and progress opportunities to enhance existing solutions and cross sell other products and services,
  </li>
  <li>
   Identify opportunities to deliver analytical projects to clients and conduct feasibility studies in support of sales activities,
  </li>
  <li>
   Proactive and regular communication with Sales team to identify and progress on opportunities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Economics, Econometrics, Operational Research from top universities. Degree in Data Science is a plus.
  </li>
  <li>
   3-5 years of work experience preferably in analytics and consultancy related areas. Proven experience of managing and delivering high quality data analytics.
  </li>
  <li>
   Excellent presentation, communication and negotiation skills.
  </li>
  <li>
   Strong organizational and leadership skills. Ability to cope and deliver excellent results in a high-performance environment.
  </li>
  <li>
   Ability to build and maintain solid long-term relationships
  </li>
  <li>
   Ability to work independently and proactively. Problem solver who proposes innovative solutions, able to shape and define solutions matched to requirements.
  </li>
  <li>
   Good knowledge and experienced in business unit products and operations especially in Banking and Telecommunications sectors (i.e. Credit risk management, Customer management experience, Data management, Basel Accord, IFRS9, Collections, etc.)
  </li>
  <li>
   Excellent PC skills, especially in MS Word, PowerPoint and Excel
  </li>
  <li>
   Experience in programming and data preparation (SAS, SPSS, SQL, proficiency in Python and preferably in some of R, Scala, C/C++ or similar). Good knowledge and experience with several learning techniques such as clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting.
  </li>
  <li>
   Fluency in written and spoken English
  </li>
  <li>
   Experience in achieving and being tracked on financial targets is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
 <br/>
 <br/>
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 <br/>
 <br/>
 Experian Careers - Creating a better tomorrow together
 <br/>
 <br/>
 Experian Careers - Creating a better tomorrow together
 <br/>
 <br/>
 Find out what its like to work for Experian by clicking here
</div>


Data Scientist Consultant

CLOUD DATA PVT LTD

<p><b>Job Title:</b> Data Analyst</p><p><b>Location:</b> Rawalpindi<br/><b>Job Type:</b> Full-Time<br/><b>Department:</b> Data &amp; Analytics</p><p><b>Responsibilities:</b></p><ul><li>Analyze large datasets to identify trends, patterns, and key insights.</li><li>Write efficient SQL queries to extract, clean, and transform data.</li><li>Collaborate with cross-functional teams (Marketing, Finance, Operations, Product) to understand data needs and deliver solutions.</li><li>Provide recommendations backed by data to improve operational efficiency and business outcomes.</li><li>Ensure data accuracy, integrity, and consistency across systems.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>bachelor's degree in Data Science, Computer Science, Statistics, or a related field.</li><li>1&ndash;3+ years of experience in data analysis, business intelligence.</li><li>kills Required: <b>Proficiency in Excel, with experience handling data sets of at least 100,000 records or more.</b> With a strong command of various common keyboard shortcuts and possessing exceptional data processing efficiency.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs50,000.00 - Rs80,000.00 per month</p><p>Work Location: In person</p>

Data Analyst

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 You will apply your passion for finding opportunities in data by using established tools and techniques or by innovating/building new ones.
 <br/>
 <br/>
 In this role, you will collaborate with highly talented business consultants and data-scientists to design and drive architecture and implementation planning for our clients and act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics. You&rsquo;ll actively cooperate with data scientists and digital consultants to incorporate clients&rsquo; requirements and impactful analysis into our data products. You&rsquo;ll also be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.
 <br/>
 <br/>
 You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations.
 <br/>
 <br/>
 Lastly, you'll do meaningful work that makes a real difference with our clients. This is a hybrid client-facing/technical role using state-of-the-art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in computer science, engineering, mathematics or another relevant subject
  </li>
  <li>
   3+ years of experience in big data related software development; experience with data modeling, design patterns and building highly scalable and secured solutions
  </li>
  <li>
   Background in development with practical experience with at least one general purpose programming languages (Python, R, C, Java, Scala, etc.)
  </li>
  <li>
   Familiar with big data platforms (SQL, Teradata, Hadoop, Spark)
  </li>
  <li>
   Experience preparing data for analytics and following a data science workflow
  </li>
  <li>
   Advanced knowledge of data structures and algorithms, networking, operating systems, standard unix/linux operating systems, version control and DevSecOps tool chains, etc.
  </li>
  <li>
   Ability to work with a myriad of data types (structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets
  </li>
  <li>
   Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
  </li>
  <li>
   Experience and interest in Cloud platforms such as AWS, Azure, GCP
  </li>
  <li>
   Commercial client-facing project experience is helpful
  </li>
  <li>
   Proven record of leadership in a work setting and/or through extracurricular activities
  </li>
  <li>
   Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
  </li>
  <li>
   Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
  </li>
 </ul>
</div>


Data Engineer - QuantumBlack, AI by McKinsey

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