big data analyst

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Analyst, Big Data Analytics &amp; Engineering
About Mastercard 
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that 
benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships 
and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest 
potential. 
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 
210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. 
 
Job Description
 
The candidate for this position will focus on Data Unification across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights.
 
 
The Role:
 
We are seeking an Analyst, Data Unification &amp; Analytics who will:
 
<ul><li>Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets.
</li><li>Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value.
</li><li>Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
</li><li>Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements.
</li><li>Integrate new data assets which increase the value proposition for our customers and enhance our existing solutions and services.
</li><li>Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth
</li><li>Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements.
</li><li>Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.
</li></ul>All about You
 
<ul><li>Good understanding of Python &ndash; Pandas, Numpy, PySpark and Impala.
</li><li>Experience in doing data analysis and extraction on Hadoop.
</li><li>Experience with LLMs or generative AI for automation to build data pipelines &amp; AI - Enhanced Data Processing.</li><li>Experience with Enterprise Business Intelligence Platform/Data platform.
</li><li>Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
</li><li>Experience with data integration tools &ndash; ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend)
</li><li>Experience with Graph Database is a plus.
</li><li>Experience in hands-on data modeling, programming, querying, data mining and report development using large volumes of granular data to deliver business intelligence and custom reporting solutions.
</li><li>Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies.
</li><li>Strong understanding of the application of analytical methods and data visualization to support business decisions.
</li><li>Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.
</li><li>Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor
</li><li>Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Analyst, Big Data Analytics & Engineering

MANTECH

<div>MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote.
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of &ldquo;big data&rdquo; solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products are legal, safe, and secure.
Responsibilities include but are not limited to:<ul><li>
Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li><li>
Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.</li><li>
Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li><li>
Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li><li>
Participate in projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li><li>
Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle through written as well as in-person reporting.</li></ul>
Minimum Qualifications:<ul><li>
HS Diploma/GED and 15 or more years of experience or AS/AA and 13 or more years or BS/BA and 7 or more years or MS/MA/MBA and 5 or more years or PhD/Doctorate and 3 or more years</li><li>
Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems.</li><li>
Experience with programming languages including R, Python, Scala, Java, and proficiency with SQL programming. Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent.</li><li>
Experience with pattern recognition and extraction, automated classification, and categorization and experience with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation).</li><li>
Experience with unsupervised and supervised machine learning techniques and methods and performing data mining, analysis, and training set construction.</li><li>
Experience with supervised machine learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li><li>
Experience with unsupervised machine learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li></ul>
Preferred Qualifications:<ul><li>
Experience constructing and executing queries to extract data in support of EDA and model development.</li><li>
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI).</li><li>
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop).</li><li>
Master&rsquo;s degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.</li></ul>
Clearance Requirements:<ul><li>
Must be a U.S. Citizen and be able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting.</li></ul>
Physical Requirements:<ul><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.</li></ul></div>

Data Scientist

Bybit

<div>
 
 
 About Bybit
 
 
 
 Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class.
 
 
 
 
 
 Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner.
 
 
 
 
 
 As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space.
 
 
 
 
 
 
 Job Overview
 
 
 
 We are seeking a data-driven professional with extensive hands-on experience in big data analytics to join our team. The ideal candidate will be responsible for transforming complex datasets into clear, actionable insights that drive strategic business decisions. This role requires strong technical proficiency in data analytics tools, programming languages, and visualization platforms, along with the ability to manage multiple projects in a fast-paced environment. The candidate should demonstrate exceptional problem-solving skills, analytical thinking, and the ability to deliver accurate, insightful reports that support business growth and operational efficiency.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Based on business goals and business models, establish a comprehensive, accurate, and objective indicator system and monitoring and analysis framework. At the same time, based on the business monitoring and analysis framework, clearly understand the overall business situation and locate business issues;
 </li>
 <li>
 Through thematic analysis, conduct in-depth analysis of business issues, provide data support and decision-making basis for company operational decisions, marketing strategies, product directions, etc.;
 </li>
 <li>
 Precipitation analysis method and monitoring framework, extract data product requirements, collaborate with relevant teams (such as development team, product team) and promote the landing of data products;
 </li>
 <li>
 Collaborate with relevant teams to organize training and sharing of concepts, skills, methods, and tools related to data technology.
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 <ul>
 <li>
 Bachelor's degree or above in statistics, mathematics, information technology, or economics, with 3-5 years of relevant work experience;
 </li>
 <li>
 Experience in digital currency, internet, and e-commerce is preferred;
 </li>
 <li>
 Good logical analysis ability and data sensitivity, able to extract core results from massive data, timely discover and analyze deep changes and root causes behind business appearances;
 </li>
 <li>
 Proficient in data extraction tools such as SQL, proficient in operating tools such as Excel, PPT, Tableau, etc.;
 </li>
 <li>
 Strong logical thinking ability, outstanding language expression ability, proficient in independently writing business Data Analysis reports;
 </li>
 <li>
 Good business knowledge and understanding of business mechanisms and models, able to insight into business opportunities from the perspective of business development;
 </li>
 <li>
 Outstanding communication and teamwork skills, with certain XFN and cross-team project experience, able to independently promote project execution.
 </li>
 <li>
 Fluent English skills
 </li>
 <li>
 Strong adaptability and time management skills to thrive in a fast-paced work environment
 </li>
 </ul>
 
 
</div>

Data Analyst Expert

Web Applications & Data Integration Company

Job Title: Senior Data Scientist &ndash; ELK Stack &amp; Analytics - BI Experience Must Location: College Road, Township, Lahore Job Type: Full-Time Working Hours: 9:00 PM &ndash; 6:00 AM PKT Department: Data &amp; Analytics Reports To: Data Analytics ManagerPosition OverviewWe are looking for a highly skilled Senior Data Scientist with strong expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analytics. The ideal candidate will possess exceptional analytical abilities and technical depth to manage complex datasets, develop scalable data pipelines, and extract meaningful insights that drive strategic business decisions.You will collaborate with cross-functional teams to design robust data solutions, enhance reporting infrastructure, and lead data-driven initiatives that contribute to organizational growth and operational excellence.Key Responsibilities<ul><li>Collect, process, and transform structured and unstructured data from multiple sources including logs, APIs, and databases.</li><li>Design, implement, and maintain reliable data pipelines using Logstash and other ETL tools to feed into Elasticsearch.</li><li>Develop and manage Kibana dashboards for real-time analytics, monitoring, and visualization.</li><li>Conduct in-depth analysis of large datasets to identify patterns, trends, anomalies, and actionable business insights.</li><li>Write and optimize advanced MySQL queries to support analytical reporting and decision-making.</li><li>Partner with business stakeholders to define KPIs, metrics, and analytical objectives aligned with company goals.</li><li>Contribute to machine learning or predictive analytics projects where applicable.</li><li>Document data processes, pipelines, and insights to ensure transparency and reproducibility.</li><li>Provide mentorship to junior team members and contribute to overall data governance and quality initiatives.</li></ul>Required Qualifications<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>Minimum 4 years of experience in data science, analytics, or a similar technical position.</li><li>Proven hands-on experience with the ELK Stack (Elasticsearch, Logstash, Kibana) in production environments.</li><li>Advanced proficiency in SQL with strong experience in MySQL optimization for large-scale queries.</li><li>Proficient in Python or R for data analysis and automation.</li><li>Solid understanding of data modeling, ETL processes, and data warehousing.</li><li>Excellent analytical thinking and the ability to communicate insights effectively to both technical and non-technical audiences.</li></ul>Preferred Skills<ul><li>Experience with big data tools such as Apache Spark or Hadoop.</li><li>Familiarity with cloud platforms (especially AWS) and their data/log management services.</li><li>Exposure to machine learning and predictive modeling techniques.</li><li>Domain knowledge in finance, healthcare, e-commerce, or SaaS industries (preferred but not mandatory).</li></ul>Why Join Us?Be part of a fast-paced, data-driven team where your expertise will help shape business strategy and drive operational excellence. If you&rsquo;re passionate about leveraging data to uncover insights and lead innovation in analytics and log intelligence, we&rsquo;d love to hear from you.Job Type: Full-timeJob Type: Full-timeWork Location: In person

Sr. Data Analyst - BI Experience is a MUST

HCLTech

<div><div><div><div>The Data Scientist plays a critical role in the organization by creating systems and processes to gather and analyze unstructured 'big data'. This role focuses on generating valuable insights and developing visualization tools that enhance client service delivery and improve product offerings. The Data Scientist collaborates with various stakeholders to leverage data for strategic business solutions. (1.) Key Responsibilities 
1. Develop Machine Learning Algorithms Using Python And Tensorflow To Merge, Manage, And Extract Data, Delivering Tailored Reports To Stakeholders. 
2. Apply Statistical Techniques And Machine Learning Frameworks Such As Pytorch To Design Custom Data Models And Algorithms, Enhancing Data Processing Capabilities. 
3. Utilize Sql To Query Large Datasets, Identifying Meaningful Insights And Interpreting Findings Through Data Mining And Exploratory Data Analysis. 
4. Collaborate With Business Stakeholders To Identify And Prioritize Opportunities For Data-Driven Solutions That Support Organizational Goals. 
5. Generate Comprehensive Reports And Visualizations That Translate Complex Data Analysis Into Actionable Insights For Stakeholders, Informing Business Decisions.Skill Requirements 
1. Strong Understanding Of Machine Learning Concepts And Frameworks, Including Tensorflow And Pytorch. 
2. Proficient In Python Programming For Data Manipulation And Algorithm Development. 
3. In-Depth Knowledge Of Sql For Effective Data Querying And Management. 
4. Familiarity With Statistical Methods And Data Mining Techniques For Analyzing Large Datasets. 
5. Excellent Communication Skills To Convey Technical Findings To Non-Technical Stakeholders.Certification 
1. Optional Certifications: Certified Data Scientist, Tensorflow Developer Certificate, Or Relevant Machine Learning Certifications Are Valuable.</div>
</div><div>No. of Positions
<div>14</div>
</div><div>Skill (Primary)
<div>Technical Skills (ERS)-Emerging Technologies-Machine Learning
</div></div><div>Auto req ID
<div>1624274BR</div>
</div><div>Skill Level 3 (Secondary Skill 1)
<div>Technical Skills (ERS)-Other Technical Skills-Pytorch
</div></div><div>Skill Level 3 (Secondary Skill 2)
<div>Data Science-Artificial Intelligence-Gen AI
</div></div><div>Skill Level 3 (Secondary Skill 3)
<div>Technical Skills (ERS)-VLSI-Verification Languages-PYTHON
</div></div><div>Skill Level 3 (Secondary Skill 4)
<div>Technical Skills (ERS)-Languages-SQL
</div></div><div>Skill Level 3 (Secondary Skill 5)
<div>Tools and Standards (ERS)-Data Analytics Tools-TensorFlow</div></div></div></div><div></div>

Technical Lead

<div>Join Teleperformance &ndash; Where Excellence Meets Opportunity!
Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach.
Why Choose Teleperformance?
We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us.
Utilize advanced support technologies and processes engineered to achieve outstanding results.
We cultivate lasting client relationships and make positive contributions to our local communities.
Become Part of an Exceptional Team!
Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments.
Job Description
Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc.). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. 
Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes.
Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.
Be One of Our People: 
It is our mission to always provide an environment where our employees feel valued, inspired, and supported, so that they can bring their best selves to work every day. We believe that when employees are happy and healthy, they are more productive, creative, and engaged. We are committed to providing a workplace that is conducive to happiness and a healthy work-life balance. We also believe that to be our best selves, we need to be surrounded by people who are positive, supportive, and challenging. We are committed to creating a culture of inclusion and diversity, where everyone feels welcome and valued. Teleperformance is an Equal Opportunity Employer
Job Application Accommodation: 
If you have questions or need an accommodation for any disability during this application, please contact your local Teleperformance location for assistance.</div>

Data Analytics Analyst I

Red Rhino Solutions

Role: Business Intelligence AnalystLocation: Cardiff Free ParkingSalary: £42k - £55k D.O.E Other: Excellent range of corporate benefitsThe CompanyA leading provider of technology-based products and solutions to business clients in the UK.People and customer orientated business offering strong long term career prospects within an innovative market leading business.We are seeking an experienced Business Intelligence Analyst to operate within the business enablement team, who will be responsible for transforming data into actionable insights that support the informed decision-making process across the businessIn addition, this role will act as the organisations AI lead and champion, exploring, piloting and embedding AI solutions that enhance business intelligence.The Role Business Intelligence AnalystThis is an exciting role where you will ensure that the business has access to accurate, timely and relevant data to guide business strategy as well as being a champion for new AI integration.<ul><li>Data analysis and insight generation</li><li>Translate complex data into clear findings</li><li>Design and maintain dashboards, reports and visuals for stakeholders.</li><li>Continuous improvement of reporting processes, making data more accessible and user friendly</li><li>Responsible for data quality and governance</li><li>Stay up to date with BI tools, technologies and trends.</li><li>Lead the integration of AI and ML techniques and tools to help automate repetitive tasks and improve predictive analytics for forecasting.</li></ul>The Candidate Business Intelligence AnalystYou will bring proven experience in a BI, Data Analyst or similar role.<ul><li>Demonstrate the design of dashboards, reports and data visualisation methods.</li><li>Be familiar with relational databases, data warehousing, and ETL processes.</li><li>Experience in translating the business needs into analytical solutions.</li><li>Practical experience with AI/ML frameworks</li><li>Fantastic communicator and team player capable of influencing adoption of new BI tools.</li><li>Analytical with a problem-solving approach showing attention to detail and big-picture thinking</li></ul>The Rewards - Business Intelligence AnalystBasic salary of between £42k - £55k depending on experience, along with a very attractive corporate benefits package.Genuine opportunity to progress your career.The backing and support of working for an amazing brandGreat benefits, incentives and culture are just some of the perks that you can expect.Red Rhino Solutions - A Rare BreedWe work exclusively with our clients to hire the best talent in the market.Follow us on LinkedIn to see other roles.

Business Intelligence Analyst

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